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Harikesh S. Nair

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Pradeep K. Chintagunta & Harikesh S. Nair & R. Sukumar, 2009. "Measuring marketing‐mix effects in the 32/64 bit video‐game console market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 421-445, April.

    Mentioned in:

    1. Measuring marketing-mix effects in the 32/64 bit video-game console market (Journal of Applied Econometrics 2009) in ReplicationWiki ()

Working papers

  1. George Gui & Harikesh Nair & Fengshi Niu, 2021. "Auction Throttling and Causal Inference of Online Advertising Effects," Papers 2112.15155, arXiv.org, revised Feb 2022.

    Cited by:

    1. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    2. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.

  2. Carlos Carrion & Zenan Wang & Harikesh Nair & Xianghong Luo & Yulin Lei & Xiliang Lin & Wenlong Chen & Qiyu Hu & Changping Peng & Yongjun Bao & Weipeng Yan, 2021. "Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach," Papers 2105.13556, arXiv.org.

    Cited by:

    1. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.

  3. Wu, Di & Nair, Harikesh S. & Geng, Tong, 2020. "Consumption Vouchers during COVID-19: Evidence from E-commerce," Research Papers 3892, Stanford University, Graduate School of Business.

    Cited by:

    1. Gonzalez-Pampillon, Nicolas & Nunez-Chaim, Gonzalo & Overman, Henry G., 2024. "The economic impacts of the UK's eat out to help out scheme," Journal of Urban Economics, Elsevier, vol. 143(C).
    2. Joonhyuk Yang & Navdeep S. Sahni & Harikesh S. Nair & Xi Xiong, 2024. "Advertising as Information for Ranking E-Commerce Search Listings," Marketing Science, INFORMS, vol. 43(2), pages 360-377, March.

  4. Caio Waisman & Harikesh S. Nair & Carlos Carrion, 2019. "Online Causal Inference for Advertising in Real-Time Bidding Auctions," Papers 1908.08600, arXiv.org, revised Feb 2024.

    Cited by:

    1. Geng, Tong & Lin, Xiliang & Nair, Harikesh S. & Hao, Jun & Xiang, Bin & Fan, Shurui, 2020. "Comparison Lift: Bandit-Based Experimentation System for Online Advertising," Research Papers 3904, Stanford University, Graduate School of Business.
    2. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    3. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    4. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.

  5. Caio Waisman & Navdeep S. Sahni & Harikesh S. Nair & Xiliang Lin, 2019. "Parallel Experimentation and Competitive Interference on Online Advertising Platforms," Papers 1903.11198, arXiv.org, revised Feb 2024.

    Cited by:

    1. Geng, Tong & Lin, Xiliang & Nair, Harikesh S. & Hao, Jun & Xiang, Bin & Fan, Shurui, 2020. "Comparison Lift: Bandit-Based Experimentation System for Online Advertising," Research Papers 3904, Stanford University, Graduate School of Business.
    2. Garrett Johnson & Julian Runge & Eric Seufert, 2022. "Privacy-Centric Digital Advertising: Implications for Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 49-54, June.
    3. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    4. Caio Waisman & Brett R. Gordon, 2023. "Multi-cell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Jan 2024.

  6. Nair, Harikesh S., 2019. "Diffusion and Pricing Over the Product Life Cycle," Research Papers 3780, Stanford University, Graduate School of Business.

    Cited by:

    1. Chaab, Jafar & Zaccour, Georges, 2024. "Dynamic pricing in the presence of social externalities and reference-price effect," Omega, Elsevier, vol. 122(C).
    2. Chaab, Jafar & Salhab, Rabih & Zaccour, Georges, 2022. "Dynamic pricing and advertising in the presence of strategic consumers and social contagion: A mean-field game approach," Omega, Elsevier, vol. 109(C).
    3. Itay P. Fainmesser & Dominique Olié Lauga & Elie Ofek, 2021. "Ratings, Reviews, and the Marketing of New Products," Management Science, INFORMS, vol. 67(11), pages 7023-7045, November.

  7. Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019. "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers 3761, Stanford University, Graduate School of Business.

    Cited by:

    1. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement," Marketing Science, INFORMS, vol. 42(4), pages 768-793, July.
    2. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    3. Kanishka Misra & Vishal Singh & Qianyun (Poppy) Zhang, 2022. "Frontiers: Impact of Stay-at-Home-Orders and Cost-of-Living on Stimulus Response: Evidence from the CARES Act," Marketing Science, INFORMS, vol. 41(2), pages 211-229, March.

  8. Hofstetter, Reto & Nair, Harikesh S. & Misra, Sanjog, 2018. "A Copycat Penalty: Micro Evidence From an Online Crowdsourcing Platform," Research Papers 3643, Stanford University, Graduate School of Business.

    Cited by:

    1. Segev, Ella, 2020. "Crowdsourcing contests," European Journal of Operational Research, Elsevier, vol. 281(2), pages 241-255.

  9. Sahni, Navdeep S. & Nair, Harikesh S., 2017. "Sponsorship Disclosure and Consumer Deception: Experimental Evidence from Native Advertising in Mobile Search," Research Papers repec:ecl:stabus:3395, Stanford University, Graduate School of Business.

    Cited by:

    1. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
    2. Jessica Fong, 2024. "Effects of Market Size and Competition in Two-Sided Markets: Evidence from Online Dating," Marketing Science, INFORMS, vol. 43(5), pages 971-985, September.
    3. Zimand-Sheiner, Dorit & Ryan, Tanya & Kip, Sema Misci & Lahav, Tamar, 2020. "Native advertising credibility perceptions and ethical attitudes: An exploratory study among adolescents in the United States, Turkey and Israel," Journal of Business Research, Elsevier, vol. 116(C), pages 608-619.
    4. Adrian Waltenrath, 2024. "Consumers’ ambiguous perceptions of advertising disclosures in influencer marketing: Disentangling the effects on current and future social media engagement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-24, December.
    5. Alexander C. LaBrecque & Clay M. Voorhees & Farnoosh Khodakarami & Paul W. Fombelle, 2024. "Native advertising effectiveness: The role of congruence and consumer annoyance on clicks, bounces, and visits," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1692-1712, November.
    6. Cao, Zike & Belo, Rodrigo, 2023. "Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing," SocArXiv b8tsg, Center for Open Science.
    7. Yue Wu & Esther Gal-Or & Tansev Geylani, 2022. "Regulating Native Advertising," Management Science, INFORMS, vol. 68(11), pages 8045-8061, November.
    8. Prabirendra Chatterjee & Bo Zhou, 2021. "Sponsored Content Advertising in a Two-Sided Market," Management Science, INFORMS, vol. 67(12), pages 7560-7574, December.
    9. Cao, Zike & Belo, Rodrigo, 2023. "Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing," SocArXiv b8tsg_v1, Center for Open Science.
    10. Brett R. Gordon & Robert Moakler & Florian Zettelmeyer, 2023. "Predictive Incrementality by Experimentation (PIE) for Ad Measurement," Papers 2304.06828, arXiv.org.

  10. Sahni, Navdeep S. & Nair, Harikesh S., 2016. "Does Advertising Serve as a Signal? Evidence from Field Experiments in Mobile Search," Research Papers 3392, Stanford University, Graduate School of Business.

    Cited by:

    1. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
    2. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    3. Tat-kei Lai & Travis Ng, 2023. "Does Competition Increase Advertising?," Working Papers 2023-iFlame-02, IESEG School of Management.
    4. Bronnenberg, Bart & Dube, Jean-Pierre & Syverson, Chad, 2022. "Marketing Investment and Intangible Brand Capital," CEPR Discussion Papers 17372, C.E.P.R. Discussion Papers.
    5. Weijia Dai & Hyunjin Kim & Michael Luca, 2016. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Harvard Business School Working Papers 17-025, Harvard Business School, revised Jan 2023.
    6. Sahni, Navdeep S. & Nair, Harikesh S., 2017. "Sponsorship Disclosure and Consumer Deception: Experimental Evidence from Native Advertising in Mobile Search," Research Papers repec:ecl:stabus:3395, Stanford University, Graduate School of Business.
    7. Guy Aridor & Duarte Goncalves & Daniel Kluver & Ruoyan Kong & Joseph Konstan, 2022. "The Informational Role of Online Recommendations: Evidence from a Field Experiment," Papers 2211.14219, arXiv.org, revised Dec 2024.
    8. Cao, Zike & Belo, Rodrigo, 2023. "Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing," SocArXiv b8tsg, Center for Open Science.
    9. Fei Long & Kinshuk Jerath & Miklos Sarvary, 2022. "Designing an Online Retail Marketplace: Leveraging Information from Sponsored Advertising," Marketing Science, INFORMS, vol. 41(1), pages 115-138, January.
    10. Cao, Zike & Belo, Rodrigo, 2023. "Effects of Explicit Sponsorship Disclosure on User Engagement in Social Media Influencer Marketing," SocArXiv b8tsg_v1, Center for Open Science.
    11. Fei Long & Wilfred Amaldoss, 2024. "Self-Preferencing in E-Commerce Marketplaces: The Role of Sponsored Advertising and Private Labels," Marketing Science, INFORMS, vol. 43(5), pages 925-952, September.
    12. Vaiva Petrikaite & Roberto Burguet, 2017. "Targeted Advertising and Costly Consumer Search," Working Papers 971, Barcelona School of Economics.
    13. Weijia Dai & Hyunjin Kim & Michael Luca, 2023. "Frontiers: Which Firms Gain from Digital Advertising? Evidence from a Field Experiment," Marketing Science, INFORMS, vol. 42(3), pages 429-439, May.
    14. Fujisawa, Chieko, 2024. "Corporate strategies to exploit the social status created by advertising: quantity vs. price competition," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302462, International Telecommunications Society (ITS).
    15. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    16. Caio Waisman & Navdeep S. Sahni & Harikesh S. Nair & Xiliang Lin, 2019. "Parallel Experimentation and Competitive Interference on Online Advertising Platforms," Papers 1903.11198, arXiv.org, revised Feb 2024.
    17. Joonhyuk Yang & Navdeep S. Sahni & Harikesh S. Nair & Xi Xiong, 2024. "Advertising as Information for Ranking E-Commerce Search Listings," Marketing Science, INFORMS, vol. 43(2), pages 360-377, March.

  11. Tuchman, Anna E. & Nair, Harikesh S. & Gardete, Pedro M., 2015. "Complementarities in Consumption and the Consumer Demand for Advertising," Research Papers 3288, Stanford University, Graduate School of Business.

    Cited by:

    1. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
    2. Bart J. Bronnenberg & Jean-Pierre H. Dubé, 2016. "The Formation of Consumer Brand Preferences," NBER Working Papers 22691, National Bureau of Economic Research, Inc.
    3. Hiroaki Hayakawa, 2017. "Health-conscious consumer behavior," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(1), pages 1-31, April.

  12. Nair, Harikesh S. & Misra, Sanjog & Hornbuckle, William J., IV & Mishra, Ranjan & Acharya, Anand, 2014. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Research Papers 3088, Stanford University, Graduate School of Business.

    Cited by:

    1. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    2. Hauke A. Wetzel & Stefan Hattula & Maik Hammerschmidt & Harald J. Heerde, 2018. "Building and leveraging sports brands: evidence from 50 years of German professional soccer," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 591-611, July.
    3. Nastasoiu, Alina & Vandenbosch, Mark, 2019. "Competing with loyalty: How to design successful customer loyalty reward programs," Business Horizons, Elsevier, vol. 62(2), pages 207-214.
    4. Du, Ruihuan & Zhong, Yu & Nair, Harikesh S. & Cui, Bo & Shou, Ruyang, 2019. "Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network," Research Papers 3761, Stanford University, Graduate School of Business.
    5. Luca Panzone & Guy Garrod & Felice Adinolfi & Jorgelina Di Pasquale, 2022. "Molecular marketing, personalised information and willingness‐to‐pay for functional foods: Vitamin D enriched eggs," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 666-689, September.
    6. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    7. Hee Mok Park & Joseph Pancras, 2022. "Social and Spatiotemporal Impacts of Casino Jackpot Events," Marketing Science, INFORMS, vol. 41(3), pages 575-592, May.
    8. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    9. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.
    10. Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
    11. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    12. Dror Hermel & Benny Mantin & Yossi Aviv, 2022. "Can coupons counteract strategic consumer behavior?," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 262-273, June.
    13. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    14. Julian Runge & Jonathan Levav & Harikesh S. Nair, 2022. "Price promotions and “freemium” app monetization," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 101-139, June.
    15. Sinha, Priyank & Sainy, Romi, 2021. "How can Indian small-scale fashion retailers survive COVID-19 disruption?-A Brand Portfolio Optimization Perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

  13. Lee, Dokyun & Hosanagar, Kartik & Nair, Harikesh S., 2014. "The Effect of Social Media Marketing Content on Consumer Engagement: Evidence from Facebook," Research Papers 3087, Stanford University, Graduate School of Business.

    Cited by:

    1. Tsung-Yu Chou, 2020. "Using FQFD and FGRA to Enhance the Advertising Effectiveness of Cross-Regional E-Commerce Platforms," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    2. Bharadwaj, Neeraj & Ballings, Michel & Naik, Prasad A., 2020. "Cross-Media Consumption: Insights from Super Bowl Advertising," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 17-31.
    3. Arora, Anuja & Srivastava, Aman & Bansal, Shivam, 2020. "Business competitive analysis using promoted post detection on social media," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Margarita IÅ¡oraitÄ—, 2017. "Thoretical Aspects Of Internet Advertising," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 6(1), pages 1-22, January.
    5. Sibei Xia & Chuanlan Liu, 2022. "Applying Machine Learning to Study the Marketing Mix's Effectiveness in a Social Marketing Context: Fashion Brands' Twitter Activities in the Pandemic," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(6), pages 1-17, October.
    6. Zanon, Johanna & Scholl-Grissemann, Ursula & Kallmuenzer, Andreas & Kleinhansl, Nikolas & Peters, Mike, 2019. "How promoting a family firm image affects customer perception in the age of social media," Journal of Family Business Strategy, Elsevier, vol. 10(1), pages 28-37.
    7. Valbona Shukarasi, 2015. "The New Albanian Company Law a Serious Effort for the Implementation of Europian Standards of Law on Commercial Company," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 1, ejes_v1_i.
    8. Francisco Alonso & Mireia Faus & Cesáreo Fernández & Sergio A. Useche, 2021. "“Where Have I Heard It?” Assessing the Recall of Traffic Safety Campaigns in the Dominican Republic," Energies, MDPI, vol. 14(18), pages 1-14, September.
    9. Kulikovskaja, Viktorija & Hubert, Marco & Grunert, Klaus G. & Zhao, Hong, 2023. "Driving marketing outcomes through social media-based customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    10. Mehdi Tajpour & Elahe Hosseini & Vanessa Ratten & Behrooz Bahman-Zangi & Seydeh Mersedeh Soleymanian, 2023. "The Role of Entrepreneurial Thinking Mediated by Social Media on the Sustainability of Small and Medium-Sized Enterprises in Iran," Sustainability, MDPI, vol. 15(5), pages 1-26, March.
    11. Omar Besbes & Yonatan Gur & Assaf Zeevi, 2016. "Optimization in Online Content Recommendation Services: Beyond Click-Through Rates," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 15-33, February.

  14. Narayanan, Sridhar & Nair, Harikesh S., 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Research Papers 2076, Stanford University, Graduate School of Business.

    Cited by:

    1. Milkman, Katherine L. & Beshears, John Leonard & Choi, James J. & Laibson, David I. & Madrian, Brigitte, 2015. "The Effect of Providing Peer Information on Retirement Savings Decisions," Scholarly Articles 32785047, Harvard University Department of Economics.
    2. Shriver, Scott K. & Nair, Harikesh S. & Hofstetter, Reto, 2011. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Research Papers 2083, Stanford University, Graduate School of Business.

  15. Shriver, Scott K. & Nair, Harikesh S. & Hofstetter, Reto, 2011. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Research Papers 2083, Stanford University, Graduate School of Business.

    Cited by:

    1. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
    2. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    3. Naletelich, Kelly & Ketron, Seth & Alejandro Gelves, J., 2023. "Curbing texting & driving with advertising co-creation," Journal of Business Research, Elsevier, vol. 156(C).
    4. Jiatao Li & Liang Chen & Jingtao Yi & Jiye Mao & Jianwen Liao, 2019. "Ecosystem-specific advantages in international digital commerce," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(9), pages 1448-1463, December.
    5. Alexia Gaudeul & Caterina Giannetti, 2011. "The role of reciprocation in social network formation, with an application to blogging," Jena Economics Research Papers 2011-015, Friedrich-Schiller-University Jena.
    6. Liu, Jin-Hu & Wang, Jun & Shao, Junming & Zhou, Tao, 2016. "Online social activity reflects economic status," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 581-589.
    7. Nicholas Economides & V. Brian Viard, 2010. "The Effect of Content on Global Internet Adoption and the Global “Digital Divide”," Working Papers 10-24, NET Institute, revised Sep 2013.
    8. Lianren Wu & Jinjie Li & Jiayin Qi & Deli Kong & Xu Li, 2021. "The Role of Opinion Leaders in the Sustainable Development of Corporate-Led Consumer Advice Networks: Evidence from a Chinese Travel Content Community," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    9. Slivko, Olga, 2014. "Peer effects in collaborative content generation: The evidence from German Wikipedia," ZEW Discussion Papers 14-128, ZEW - Leibniz Centre for European Economic Research.
    10. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
    11. Marit Hinnosaar, 2015. "Gender Inequality in New Media: Evidence from Wikipedia," Carlo Alberto Notebooks 411, Collegio Carlo Alberto.
    12. Pankaj Kumar & Swanand J. Deodhar & Srilata Zaheer, 2023. "Cognitive sources of liability of foreignness in crowdsourcing creative work," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(4), pages 686-716, June.
    13. Kexin Zhao & Bin Zhang & Xue Bai, 2018. "Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences," Information Systems Research, INFORMS, vol. 29(4), pages 910-927, December.
    14. Xiang Hui & Meng Liu & Tat Chan, 2022. "Targeted Incentives, Broad Impacts: Evidence from an E-commerce Platform," CESifo Working Paper Series 9894, CESifo.
    15. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
    16. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    17. Xiang Hui & Meng Liu & Tat Chan, 2023. "Targeted incentives, broad impacts: Evidence from an E-commerce platform," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 493-517, December.
    18. Manmohan Aseri & Milind Dawande & Ganesh Janakiraman & Vijay S. Mookerjee, 2020. "Ad-Blockers: A Blessing or a Curse?," Information Systems Research, INFORMS, vol. 31(2), pages 627-646, June.
    19. Kexin Yin & Xiao Fang & Bintong Chen & Olivia R. Liu Sheng, 2023. "Diversity Preference-Aware Link Recommendation for Online Social Networks," Information Systems Research, INFORMS, vol. 34(4), pages 1398-1414, December.
    20. Wang, Feng & Zhang, Xueting & Chen, Man & Zeng, Wei & Cao, Rong, 2022. "The influential paradox: Brand and deal content sharing by influencers in friendship networks," Journal of Business Research, Elsevier, vol. 150(C), pages 503-514.
    21. Arora, Anshu Saxena & Sivakumar, K. & Pavlou, Paul A., 2021. "Social capacitance: Leveraging absorptive capacity in the age of social media," Journal of Business Research, Elsevier, vol. 124(C), pages 342-356.
    22. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
    23. Stephan Seiler & Song Yao & Wenbo Wang, 2017. "Does Online Word of Mouth Increase Demand? (And How?) Evidence from a Natural Experiment," Marketing Science, INFORMS, vol. 36(6), pages 838-861, November.
    24. S. Sriram & Puneet Manchanda & Mercedes Bravo & Junhong Chu & Liye Ma & Minjae Song & Scott Shriver & Upender Subramanian, 2015. "Platforms: a multiplicity of research opportunities," Marketing Letters, Springer, vol. 26(2), pages 141-152, June.
    25. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    26. Eizenberg, Alon & Shurtz, Ity & Alkalay, Adi & Lahad, Amnon, 2018. "Physician workload and treatment choice: the case of primary care," CEPR Discussion Papers 13157, C.E.P.R. Discussion Papers.
    27. Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick & Steven Sexton, 2022. "Visibility and Peer Influence in Durable Good Adoption," Marketing Science, INFORMS, vol. 41(3), pages 453-476, May.
    28. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.
    29. Michelle Andrews & Xueming Luo & Zheng Fang & Anindya Ghose, 2016. "Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness," Marketing Science, INFORMS, vol. 35(2), pages 218-233, March.
    30. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    31. Youngsoo Kim & Ramayya Krishnan, 2015. "On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis," Management Science, INFORMS, vol. 61(10), pages 2449-2467, October.
    32. Nicholas Economides & V. Brian Viard, 2010. "The Effect of Content on Global Internet Adoption," Working Papers 10-19, New York University, Leonard N. Stern School of Business, Department of Economics.
    33. Liangfei Qiu & Zhan (Michael) Shi & Andrew B. Whinston, 2018. "Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks," Information Systems Research, INFORMS, vol. 29(4), pages 1044-1061, December.
    34. Jie Zhao & Jianfei Wang & Suping Fang & Peiquan Jin, 2018. "Towards Sustainable Development of Online Communities in the Big Data Era: A Study of the Causes and Possible Consequence of Voting on User Reviews," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    35. Ji Wu & Zhiqiang (Eric) Zheng & J. Leon Zhao, 2021. "FairPlay: Detecting and Deterring Online Customer Misbehavior," Information Systems Research, INFORMS, vol. 32(4), pages 1323-1346, December.
    36. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    37. Zike Cao & Yingpeng Zhu & Gen Li & Liangfei Qiu, 2024. "Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community," Information Systems Research, INFORMS, vol. 35(3), pages 1114-1136, September.
    38. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2016. "Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach," Marketing Science, INFORMS, vol. 35(2), pages 284-303, March.
    39. Maria Marchenko & Hendrik Sonnabend, 2022. "The Never Ending Book: The role of external stimuli and peer feedback in user-generated content production," Department of Economics Working Papers wuwp320, Vienna University of Economics and Business, Department of Economics.
    40. Yan Huang & Param Vir Singh & Anindya Ghose, 2015. "A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media," Management Science, INFORMS, vol. 61(12), pages 2825-2844, December.
    41. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    42. Puneet Manchanda & Grant Packard & Adithya Pattabhiramaiah, 2015. "Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community," Marketing Science, INFORMS, vol. 34(3), pages 367-387, May.
    43. Hofstetter, Reto & Gollnhofer, Johanna Franziska, 2024. "The creator’s dilemma: Resolving tensions between authenticity and monetization in social media," International Journal of Research in Marketing, Elsevier, vol. 41(3), pages 427-435.
    44. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    45. Johannes Loh & Tobias Kretschmer, 2023. "Online communities on competing platforms: Evidence from game wikis," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 441-476, February.
    46. Muhammad Naeem & Wilson Ozuem, 2021. "Understanding the social consumer fashion brand engagement journey: insights about reputed fashion brands," Journal of Brand Management, Palgrave Macmillan, vol. 28(5), pages 510-525, September.
    47. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
    48. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
    49. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    50. Shijie Lu & Dai Yao & Xingyu Chen & Rajdeep Grewal, 2021. "Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform," Marketing Science, INFORMS, vol. 40(5), pages 964-984, September.
    51. Erik Ernesto Vazquez, 2021. "Effect of an e-retailer’s product category and social media platform selection on perceived quality of e-retail products," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 139-157, March.
    52. Claudio Vitari & Christophe David, 2018. "One-structure-fits-all or how the specific identity of the Permaculture movement fits into the general structure of the networks," Post-Print halshs-01923833, HAL.
    53. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    54. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    55. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    56. Zhang, Yuchi & Moe, Wendy W. & Schweidel, David A., 2017. "Modeling the role of message content and influencers in social media rebroadcasting," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 100-119.
    57. Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
    58. Chengde Zheng & Xiaofeng Yu & Qiming Jin, 2017. "How user relationships affect user perceived value propositions of enterprises on social commerce platforms," Information Systems Frontiers, Springer, vol. 19(6), pages 1261-1271, December.
    59. Nima Y. Jalali & Purushottam Papatla, 2016. "The palette that stands out: Color compositions of online curated visual UGC that attracts higher consumer interaction," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 353-384, December.
    60. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    61. Fe, Hao, 2023. "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 1-14.
    62. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    63. Kim, Jikyung (Jeanne) & Kim, Sanghwa & Choi, Jeonghye, 2020. "Purchase now and consume later: Do online and offline environments drive online social interactions and sales?," Journal of Business Research, Elsevier, vol. 120(C), pages 274-285.

  16. Ellickson, Paul B. & Misra, Sanjog & Nair, Harikesh S., 2011. "Repositioning Dynamics and Pricing Strategy," Research Papers 2075, Stanford University, Graduate School of Business.

    Cited by:

    1. Victor Aguirregabiria & Junichi Suzuki, 2013. "Identification and Counterfactuals in Dynamic Models of Market Entry and Exit," Working Papers tecipa-475, University of Toronto, Department of Economics.
    2. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    3. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.
    4. Sanjog Misra & Harikesh Nair, 2011. "A structural model of salesforce compensation dynamics: Response to Profs. Rust and Staelin," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 267-273, September.

  17. Misra, Sanjog & Nair, Harikesh, 2009. "A Structural Model of Sales-Force Compensation Dynamics: Estimation and Field Implementation," Research Papers 2037, Stanford University, Graduate School of Business.

    Cited by:

    1. Richard B. Freeman & Wei Huang & Teng Li, 2019. "Non-linear Incentives, Worker Productivity, and Firm Profits: Evidence from a Quasi-experiment," NBER Working Papers 25507, National Bureau of Economic Research, Inc.
    2. Zheyin (Jane) Gu & Yunchuan Liu, 2018. "Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 441-472, December.
    3. Hu, Yingyao & Xin, Yi, 2024. "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, vol. 242(2).
    4. Stephen P. Ryan & Catherine Tucker, 2011. "Heterogeneity and the Dynamics of Technology Adoption," NBER Working Papers 17253, National Bureau of Economic Research, Inc.
    5. Gökkoca, Gökçe, 2024. "Antibiotic Stewardship in Primary Care: Evidence from Pay-for-Performance in France," TSE Working Papers 24-1567, Toulouse School of Economics (TSE).
    6. Haofeng Jin & Zhentong Lu, 2021. "Measuring the Effectiveness of Salespeople: Evidence from a Cold-Drink Market," Staff Working Papers 21-40, Bank of Canada.
    7. Parag A. Pathak & Peng Shi, 2017. "How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice," NBER Working Papers 24017, National Bureau of Economic Research, Inc.
    8. Johannes Abeler & David Huffman & Colin Raymond, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," Economics Series Working Papers 1012, University of Oxford, Department of Economics.
    9. Sanjay Jain, 2012. "Self-Control and Incentives: An Analysis of Multiperiod Quota Plans," Marketing Science, INFORMS, vol. 31(5), pages 855-869, September.
    10. Maria Rouziou, 2019. "The contingent value of pay inequalities in sales organizations: integrating literatures in economics, management, and psychology," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 184-204, December.
    11. Bicheng Yang & Tat Chan & Raphael Thomadsen, 2019. "A Salesforce-Driven Model of Consumer Choice," Marketing Science, INFORMS, vol. 38(5), pages 871-887, September.
    12. Cheng-Feng Cheng, 2012. "Evaluate the Effectiveness of Manager Compensation," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 11(1), pages 25-44, June.
    13. Arie, Guy, 2016. "Dynamic costs and moral hazard: A duality-based approach," Journal of Economic Theory, Elsevier, vol. 166(C), pages 1-50.
    14. Lamar Pierce & Alex Rees-Jones & Charlotte Blank, 2020. "The Negative Consequences of Loss-Framed Performance Incentives," NBER Working Papers 26619, National Bureau of Economic Research, Inc.
    15. Duncan Simester & Juanjuan Zhang, 2014. "Why Do Salespeople Spend So Much Time Lobbying for Low Prices?," Marketing Science, INFORMS, vol. 33(6), pages 796-808, November.
    16. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
    17. Robert Ridlon & Jiwoong Shin, 2013. "Favoring the Winner or Loser in Repeated Contests," Marketing Science, INFORMS, vol. 32(5), pages 768-785, September.
    18. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2016. "Multidimensional Sales Incentives in CRM Settings: Customer Adverse Selection and Moral Hazard," Cowles Foundation Discussion Papers 2085, Cowles Foundation for Research in Economics, Yale University.
    19. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    20. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    21. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    22. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2021. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training," Management Science, INFORMS, vol. 67(11), pages 7046-7074, November.
    23. Abeler, Johannes & Huffman, David B. & Raymond, Collin, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," IZA Discussion Papers 16284, Institute of Labor Economics (IZA).
    24. Doug J. Chung & Thomas Steenburgh & K. Sudhir, 2014. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans," Marketing Science, INFORMS, vol. 33(2), pages 165-187, March.
    25. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    26. Jérémie Gallien & Stephen C. Graves & Alan Scheller-Wolf, 2016. "OM Forum—Practice-Based Research in Operations Management: What It Is, Why Do It, Related Challenges, and How to Overcome Them," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 5-14, February.
    27. Selcuk, Cemil & Gokpinar, Bilal, 2022. "Incentivizing flexible workers in the gig economy: The case of ride-hailing," Cardiff Economics Working Papers E2022/11, Cardiff University, Cardiff Business School, Economics Section.
    28. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2016. "Usage‐Based Pricing and Demand for Residential Broadband," Econometrica, Econometric Society, vol. 84, pages 411-443, March.
    29. Ali Yurukoglu & Claire Lim, 2014. "Dynamic Natural Monopoly Regulation: Time Inconsistency, Asymmetric Information, and Political Environments," 2014 Meeting Papers 530, Society for Economic Dynamics.
    30. Hortense Fong & George Gui, 2024. "Modeling Story Expectations to Understand Engagement: A Generative Framework Using LLMs," Papers 2412.15239, arXiv.org, revised Mar 2025.
    31. Guo, Peijun, 2022. "Dynamic focus programming: A new approach to sequential decision problems under uncertainty," European Journal of Operational Research, Elsevier, vol. 303(1), pages 328-336.
    32. Nur Kaynar & Auyon Siddiq, 2023. "Estimating Effects of Incentive Contracts in Online Labor Platforms," Management Science, INFORMS, vol. 69(4), pages 2106-2126, April.
    33. John Rust, 2014. "The Limits of Inference with Theory: A Review of Wolpin (2013)," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 820-850, September.
    34. Honda, Jun & Inderst, Roman, 2017. "Nonlinear Incentives and Advisor Bias," EconStor Preprints 253657, ZBW - Leibniz Information Centre for Economics.
    35. Cai, Xiqian & Jiang, Wei & Song, Hong & Xie, Huihua, 2022. "Pay for performance schemes and manufacturing worker productivity: Evidence from a kinked design in China," Journal of Development Economics, Elsevier, vol. 156(C).
    36. Yael Karlinsky-Shichor & Oded Netzer, 2024. "Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach," Marketing Science, INFORMS, vol. 43(1), pages 138-157, January.
    37. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    38. Yeh, D. Adeline & Gomez, Miguel I. & Lin Lawell, C.-Y. Cynthia, 2020. "Sustainable Pest Management Under Uncertainty: A Dynamic Bioeconomic Analysis of Lowbush Blueberry Production," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304326, Agricultural and Applied Economics Association.
    39. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    40. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    41. Günter J. Hitsch & Sanjog Misra & Walter W. Zhang, 2024. "Heterogeneous treatment effects and optimal targeting policy evaluation," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 115-168, June.
    42. Przemysław Jeziorski & Elena Krasnokutskaya & Olivia Ceccarini, 2019. "Skimming from the Bottom: Empirical Evidence of Adverse Selection When Poaching Customers," Marketing Science, INFORMS, vol. 38(4), pages 543-566, July.
    43. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    44. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2018. "When Salespeople Manage Customer Relationships: Multidimensional Incentives and Private Information," Cowles Foundation Discussion Papers 2122, Cowles Foundation for Research in Economics, Yale University.
    45. Pranav Jindal & Peter Newberry, 2022. "The Profitability of Revenue-Based Quotas Under Price Negotiation," Management Science, INFORMS, vol. 68(2), pages 917-940, February.
    46. Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
    47. Janssen, Aljoscha, 2020. "Switching Costs, Brand Premia and Behavioral Pricing in the Pharmaceutical Market," Working Paper Series 1317, Research Institute of Industrial Economics.
    48. Kräkel, Matthias, 2021. "On the delegation of authority," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 965-981.
    49. Shan Li & Kay-Yut Chen & Ying Rong, 2020. "The Behavioral Promise and Pitfalls in Compensating Store Managers," Management Science, INFORMS, vol. 66(10), pages 4899-4919, October.
    50. Seyed Morteza Emadi & Bradley R. Staats, 2020. "A Structural Estimation Approach to Study Agent Attrition," Management Science, INFORMS, vol. 66(9), pages 4071-4095, September.
    51. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2022. "A Structural Model of a Multitasking Salesforce: Incentives, Private Information, and Job Design," Management Science, INFORMS, vol. 68(6), pages 4602-4630, June.
    52. Carl F. Mela, 2011. "Structural Workshop Paper --Data Selection and Procurement," Marketing Science, INFORMS, vol. 30(6), pages 965-976, November.
    53. John Rust & Sungjin Cho, 2018. "Optimal Dynamic Hotel Pricing," 2018 Meeting Papers 179, Society for Economic Dynamics.
    54. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199, Cowles Foundation for Research in Economics, Yale University.
    55. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    56. Long Gao, 2023. "Optimal Incentives for Salespeople with Learning Potential," Management Science, INFORMS, vol. 69(6), pages 3285-3296, June.
    57. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Compensation and Peer Effects in Competing Sales Teams," Management Science, INFORMS, vol. 60(8), pages 1965-1984, August.
    58. A. Yeşim Orhun & Tong Guo & Andreas Hagemann, 2022. "Reaching for Gold: Frequent-Flyer Status Incentives and Moral Hazard," Marketing Science, INFORMS, vol. 41(3), pages 548-574, May.
    59. Marc Fischer & Hyun S. Shin & Dominique M. Hanssens, 2016. "Brand Performance Volatility from Marketing Spending," Management Science, INFORMS, vol. 62(1), pages 197-215, January.
    60. Tinglong Dai & Kinshuk Jerath, 2016. "Technical Note—Impact of Inventory on Quota-Bonus Contracts with Rent Sharing," Operations Research, INFORMS, vol. 64(1), pages 94-98, February.
    61. Eric J. Allen & Patricia M. Dechow & Devin G. Pope & George Wu, 2017. "Reference-Dependent Preferences: Evidence from Marathon Runners," Management Science, INFORMS, vol. 63(6), pages 1657-1672, June.
    62. Xavier d'Haultfoeuille & Philippe Février, 2011. "The Provision of Wage Incentives : A Structural Estimation Using Contracts Variation," Working Papers 2011-29, Center for Research in Economics and Statistics.
    63. Yu Hao & Hiroyuki Kasahara, 2024. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence," Papers 2405.12467, arXiv.org.
    64. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2021.
    65. V. Kumar & S. Sriram & Anita Luo & Pradeep K. Chintagunta, 2011. "Assessing the Effect of Marketing Investments in a Business Marketing Context," Marketing Science, INFORMS, vol. 30(5), pages 924-940, September.
    66. Arzum Akkaş & Nachiketa Sahoo, 2020. "Reducing Product Expiration by Aligning Salesforce Incentives: A Data‐driven Approach," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1992-2009, August.
    67. Lizhen Xu & Jason A. Duan & Yu Jeffrey Hu & Yuan Cheng & Yan Zhu, 2019. "Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model," Information Systems Research, INFORMS, vol. 30(2), pages 616-635, June.
    68. Thomas Otter & Timothy J. Gilbride & Greg M. Allenby, 2011. "Testing Models of Strategic Behavior Characterized by Conditional Likelihoods," Marketing Science, INFORMS, vol. 30(4), pages 686-701, July.
    69. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    70. Steven Lu & Andre Bonfrer & Ranjit Voola, 2015. "Retaining Talented Salespeople," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 148-164, June.
    71. Praveen K. Kopalle & Yacheng Sun & Scott A. Neslin & Baohong Sun & Vanitha Swaminathan, 2012. "The Joint Sales Impact of Frequency Reward and Customer Tier Components of Loyalty Programs," Marketing Science, INFORMS, vol. 31(2), pages 216-235, March.

  18. Hartmann, Wesley R. & Nair, Harikesh S., 2007. "Retail Competition and the Dynamics of Consumer Demand for Tied Goods," Research Papers 1990, Stanford University, Graduate School of Business.

    Cited by:

    1. Draganska, Michaela & Klapper, Daniel & Villas-Boas, Sofia Berto, 2007. "A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel," CUDARE Working Papers 6054, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Hökelekli, Gizem & Lamey, Lien & Verboven, Frank, 2017. "The battle of traditional retailers versus discounters: The role of PL tiers," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 11-22.
    3. Villas-Boas, Sofia B & Klapper, Daniel & Draganska, Michaela, 2010. "A Larger Slice or a Larger Pie? Investigating Margins in the Distribution Channel," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt064044x8, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Ailawadi, K.H. & Bradlow, E.T. & Draganska, M. & Nijs, V. & Rooderkerk, R.P. & Sudhir, K. & Wilbur, K.C. & Zhang, J., 2010. "Empirical models of manufacturer-retailer interaction : A review and agenda for future research," Other publications TiSEM 8cf81b4a-f2e9-485b-a5f5-9, Tilburg University, School of Economics and Management.
    5. Phillip Leslie & Alan Sorensen, 2009. "The Welfare Effects of Ticket Resale," NBER Working Papers 15476, National Bureau of Economic Research, Inc.

  19. Nair, Harikesh S., 2006. "Intertemporal Price Discrimination with Forward-Looking Consumers: Application to the US Market for Console Video-Games," Research Papers 1947, Stanford University, Graduate School of Business.

    Cited by:

    1. Ali K. Parlaktürk, 2012. "The Value of Product Variety When Selling to Strategic Consumers," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 371-385, July.
    2. Joe Cox, 2011. "The Economics of the Video-gaming Leisure Market," Chapters, in: Samuel Cameron (ed.), Handbook on the Economics of Leisure, chapter 19, Edward Elgar Publishing.
    3. Guofang Huang & Hong Luo & Jing Xia, 2019. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning," Management Science, INFORMS, vol. 65(12), pages 5556-5583, December.
    4. Zeynep Akşin & Baris Ata & Seyed Morteza Emadi & Che-Lin Su, 2017. "Impact of Delay Announcements in Call Centers: An Empirical Approach," Operations Research, INFORMS, vol. 65(1), pages 242-265, February.
    5. Qiaowei Shen, 2014. "A Dynamic Model of Entry and Exit in a Growing Industry," Marketing Science, INFORMS, vol. 33(5), pages 712-724, September.
    6. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
    7. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    8. Park, Minjung, 2019. "Selection bias in estimation of peer effects in product adoption," Journal of choice modelling, Elsevier, vol. 30(C), pages 17-27.
    9. Waters, James, 2013. "Pricing information goods with piracy and heterogeneous consumers," MPRA Paper 46918, University Library of Munich, Germany.
    10. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    11. Knox, George & Eliashberg, Jehoshua, 2009. "The consumer's rent vs. buy decision in the rentailer," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 125-135.
    12. Gaurab Aryal & Charles Murry & Jonathan W Williams, 2024. "Price Discrimination in International Airline Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 641-689.
    13. Xing Li & Megan MacGarvie & Petra Moser, 2015. "Dead Poet's Property - How Does Copyright Influence Price?," NBER Working Papers 21522, National Bureau of Economic Research, Inc.
    14. Özalp Özer & Yanchong Zheng, 2016. "Markdown or Everyday Low Price? The Role of Behavioral Motives," Management Science, INFORMS, vol. 62(2), pages 326-346, February.
    15. Luca Aguzzoni & Elena Argentesi & Paolo Buccirossi & Lorenzo Ciari & Tomaso Duso & Massimo Tognoni & Cristiana Vitale, 2013. "They Played the Merger Game: A Retrospective Analysis in the UK Videogames Market," Discussion Papers of DIW Berlin 1330, DIW Berlin, German Institute for Economic Research.
    16. Ricardo Montoya & Oded Netzer & Kamel Jedidi, 2010. "Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability," Marketing Science, INFORMS, vol. 29(5), pages 909-924, 09-10.
    17. Soo Jin Kim & Pallavi Pal, 2021. "Quality Differentiation and Optimal Pricing Strategy in Multi-Sided Markets," CESifo Working Paper Series 9267, CESifo.
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    Cited by:

    1. Daron Acemoglu & Kostas Bimpikis & Asuman E, Ozdaglar, 2010. "Dynamics of Information Exchange in Endogenous Social Networks," Levine's Working Paper Archive 661465000000000216, David K. Levine.
    2. Shriver, Scott K. & Nair, Harikesh S. & Hofstetter, Reto, 2011. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Research Papers 2083, Stanford University, Graduate School of Business.
    3. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
    4. Liu, Hong & Sun, Qi & Zhao, Zhong, 2014. "Social learning and health insurance enrollment: Evidence from China's New Cooperative Medical Scheme," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 84-102.
    5. Andrew Ching & Masakazu Ishihara, 2010. "The effects of detailing on prescribing decisions under quality uncertainty," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 123-165, June.
    6. Anindya Ghose & Sang Pil Han, 2009. "A Dynamic Structural Model of User Learning in Mobile Media Content," Working Papers 09-24, NET Institute, revised Oct 2009.
    7. Hema Yoganarasimhan, 2012. "Impact of social network structure on content propagation: A study using YouTube data," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 111-150, March.
    8. D. F. Benoit & D. Van Den Poel, 2012. "Improving Customer Retention In Financial Services Using Kinship Network Information," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/786, Ghent University, Faculty of Economics and Business Administration.
    9. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    10. Andrew Epstein, 2005. "The Formation And Evolution Of Physician Treatment Styles: An Application To Cesarean Sections," Working Papers id:176, eSocialSciences.
    11. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    12. Itay P. Fainmesser & Andrea Galeotti, 2013. "The Value of Network Information," Working Papers 2013-13, Brown University, Department of Economics.
    13. Michael Haenlein, 2011. "A social network analysis of customer-level revenue distribution," Marketing Letters, Springer, vol. 22(1), pages 15-29, March.
    14. Paola Zappa, 2011. "The network structure of knowledge sharing among physicians," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1109-1126, August.
    15. Zsolt Katona, 2013. "Competing for Influencers in a Social Network," Working Papers 13-06, NET Institute.
    16. Ching, Andrew & Ishihara, Masakazu, 2007. "The Effects of Detailing on Prescribing Decisions under Two-Sided Learning," MPRA Paper 4935, University Library of Munich, Germany.

  21. Desiraju, Ramarao & Nair, Harikesh S. & Chintagunta, Pradeep, 2004. "Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations," Research Papers 1950, Stanford University, Graduate School of Business.

    Cited by:

    1. Kanavos, Panos G. & Vandoros, Sotiris, 2011. "Determinants of branded prescription medicine prices in OECD countries," Health Economics, Policy and Law, Cambridge University Press, vol. 6(3), pages 337-367, July.
    2. Philip Hans Franses & Madesta Lede, 2017. "Adoption of Falsified Medical Products in a Low-Income Country: Empirical Evidence for Suriname," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    3. Meihan He & Jongsu Lee, 2020. "Social culture and innovation diffusion: a theoretically founded agent-based model," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1109-1149, September.
    4. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    5. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    6. Sanjeev Dewan & Dale Ganley & Kenneth L. Kraemer, 2010. "Complementarities in the Diffusion of Personal Computers and the Internet: Implications for the Global Digital Divide," Information Systems Research, INFORMS, vol. 21(4), pages 925-940, December.
    7. Meade, Nigel & Islam, Towhidul, 2015. "Modelling European usage of renewable energy technologies for electricity generation," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 497-509.
    8. Megan K. Meier, 2016. "Funding Research for Neglected Infectious Diseases: An Investment in the Future," International Journal of Sciences, Office ijSciences, vol. 5(07), pages 34-36, July.
    9. Gupta, Sunil & Mela, Carl F. & Vidal-Sanz, Jose M., 2009. "The value of a "free" customer," DEE - Working Papers. Business Economics. WB wb092903, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    10. Lemmens, A. & Croux, C. & Stremersch, S., 2012. "Dynamics in international market segmentation of new product growth," Other publications TiSEM 306086bd-670f-48d2-97d1-3, Tilburg University, School of Economics and Management.
    11. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December.
    12. Vakratsas, Demetrios & Kolsarici, Ceren, 2008. "A dual-market diffusion model for a new prescription pharmaceutical," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 282-293.
    13. Lemmens, Aurélie & Croux, Christophe & Stremersch, Stefan, 2012. "Dynamics in the international market segmentation of new product growth," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 81-92.
    14. Andrew Ainslie & Xavier Drèze & Fred Zufryden, 2005. "Modeling Movie Life Cycles and Market Share," Marketing Science, INFORMS, vol. 24(3), pages 508-517, November.
    15. Marc Vivian Lindou Tanka & Kevin Landry Lindjouom Tanka, 2024. "Estimated level of adoption of e-banking in Cameroon [Estimation du niveau d'adoption du e-banking au Cameroun]," Post-Print hal-04551120, HAL.
    16. Wafullah, Teresah Nekesah, 2017. "Analysis Of The Use Of Inoculant-Based Technologies By Smallholder Farmers And Its Effect On Output Commercialization: Case Of Field Bean Farmers In Western Kenya," Research Theses 276457, Collaborative Masters Program in Agricultural and Applied Economics.
    17. Wilfred Amaldoss & Chuan He, 2009. "Direct-to-Consumer Advertising of Prescription Drugs: A Strategic Analysis," Marketing Science, INFORMS, vol. 28(3), pages 472-487, 05-06.
    18. Ruiz-Conde, Enar & Wieringa, Jaap E. & Leeflang, Peter S.H., 2014. "Competitive diffusion of new prescription drugs: The role of pharmaceutical marketing investment," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 49-63.
    19. Stefan Stremersch & Aurélie Lemmens, 2009. "Sales Growth of New Pharmaceuticals Across the Globe: The Role of Regulatory Regimes," Marketing Science, INFORMS, vol. 28(4), pages 690-708, 07-08.
    20. Ceren Kolsarici & Demetrios Vakratsas, 2015. "Correcting for Misspecification in Parameter Dynamics to Improve Forecast Accuracy with Adaptively Estimated Models," Management Science, INFORMS, vol. 61(10), pages 2495-2513, October.
    21. Kurt Brekke & Dag Dalen & Tor Holmås, 2014. "Diffusion of pharmaceuticals: cross-country evidence of anti-TNF drugs," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 937-951, December.
    22. Wafula, Teresia Nekesah & Okello, Julius Juma & Otieno, David Jakinda, 2017. "Analysis Of The Use Of Inoculant-Based Technologies By Smallholder Farmers And Its Effect On Output Commercialization: Case Of Field Bean Farmers In Western Kenya," Dissertations and Theses 269392, University of Nairobi, Department of Agricultural Economics.
    23. Takahashi, Carlos Kazunari & Figueiredo, Júlio César Bastos de & Scornavacca, Eusebio, 2024. "Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    24. Mihaela Cornelia Prejmerean & Simona Vasilache, 2008. "A LSCM approach to the Romanian pharmaceuticals market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 166-176, June.
    25. Franses, Ph.H.B.F. & Lede, M.M., 2010. "Diffusion of counterfeit medical products in a developing country: Empirical evidence for Suriname," Econometric Institute Research Papers EI 2010-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Stremersch, S. & Lemmens, A., 2008. "Sales Growth of New Pharmaceuticals Across the Globe: The Role of Regulatory Regimes," ERIM Report Series Research in Management ERS-2008-026-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    27. Lim, Hyungsoo & Jun, Duk Bin & Hamoudia, Mohsen, 2019. "A choice-based diffusion model for multi-generation and multi-country data," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 163-173.
    28. Lasarov, Wassili & Mai, Robert & García de Frutos, Nieves & Egea, José Manuel Ortega & Hoffmann, Stefan, 2019. "Counter-arguing as barriers to environmentally motivated consumption reduction: A multi-country study," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 281-305.
    29. Sergio Giaccaria & Silvana Dalmazzone, 2012. "Patterns of induced diffusion of renewable energy capacity: The role of regulatory design and decentralization," Carlo Alberto Notebooks 282, Collegio Carlo Alberto.
    30. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    31. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    32. Marie Doumic & Mathieu Mezache & Benoît Perthame & Edouard Ribes & Delphine Salort, 2017. "Strategic Workforce Planning and sales force : a demographic approach to productivity," Working Papers hal-01449812, HAL.
    33. Desmarchelier, Benoît & Fang, Eddy S., 2016. "National culture and innovation diffusion. Exploratory insights from agent-based modeling," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 121-128.
    34. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    35. Grewal, Rajdeep & Chakravarty, Anindita & Ding, Min & Liechty, John, 2008. "Counting chickens before the eggs hatch: Associating new product development portfolios with shareholder expectations in the pharmaceutical sector," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 261-272.

  22. Nair, Harikesh S. & Dube, Jean-Pierre & Chintagunta, Pradeep, 2004. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Research Papers 1949, Stanford University, Graduate School of Business.

    Cited by:

    1. Mohapatra, Debashrita, 2024. "Estimating substitution patterns and demand curvature in Discrete-Choice models of product differentiation," 2024 Annual Meeting, July 28-30, New Orleans, LA 343538, Agricultural and Applied Economics Association.
    2. Ching-I Huang, 2008. "Estimating demand for cellular phone service under nonlinear pricing," Quantitative Marketing and Economics (QME), Springer, vol. 6(4), pages 371-413, December.
    3. Liang Guo, 2006. "—Removing the Boundary Between Structural and Reduced-Form Models," Marketing Science, INFORMS, vol. 25(6), pages 629-632, 11-12.
    4. McColl, Rod & Macgilchrist, Renaud & Rafiq, Shuddhasattwa, 2020. "Estimating cannibalizing effects of sales promotions: The impact of price cuts and store type," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    5. Nitin Mehta & Xinlei (Jack) Chen & Om Narasimhan, 2010. "Examining Demand Elasticities in Hanemann's Framework: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 29(3), pages 422-437, 05-06.
    6. Sridhar Narayanan & Pradeep Chintagunta & Eugenio Miravete, 2007. "The role of self selection, usage uncertainty and learning in the demand for local telephone service," Quantitative Marketing and Economics (QME), Springer, vol. 5(1), pages 1-34, March.
    7. Amit Gandhi Gandhi & Zhentong Lu & Xiaoxia Shi, 2013. "Estimating demand for differentiated products with error in market shares," CeMMAP working papers CWP03/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Ramanathan, Usha & Muyldermans, Luc, 2010. "Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK," International Journal of Production Economics, Elsevier, vol. 128(2), pages 538-545, December.
    9. Han Yuan, 2020. "Competing for Time: A Study of Mobile Applications," 2020 Papers pyu309, Job Market Papers.
    10. Nitin Mehta, 2007. "Investigating Consumers' Purchase Incidence and Brand Choice Decisions Across Multiple Product Categories: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 26(2), pages 196-217, 03-04.
    11. Richards, Timothy J. & Hamilton, Stephen F. & Patterson, Paul M., 2010. "Spatial Competition and Private Labels," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-26, August.
    12. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    13. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
    14. Panzone, Luca A. & Ulph, Alistair & Zizzo, Daniel John & Hilton, Denis & Clear, Adrian, 2021. "The impact of environmental recall and carbon taxation on the carbon footprint of supermarket shopping," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    15. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    16. Richards, Timothy J. & Acharya, Ram N. & Molina, Ignacio, 2009. "Retail and Wholesale Market Power in Organic Foods," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49329, Agricultural and Applied Economics Association.
    17. Andrews, Rick L. & Currim, Imran S., 2009. "Multi-stage purchase decision models: Accommodating response heterogeneity, common demand shocks, and endogeneity using disaggregate data," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 197-206.
    18. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    19. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
    20. Joonhwi Joo & Ali Hortacsu, 2016. "Semiparametric estimation of CES demand system with observed and unobserved product characteristics," 2016 Meeting Papers 36, Society for Economic Dynamics.
    21. Arnade, Carlos Anthony & Gopinath, Munisamy & Pick, Daniel H., 2011. "How Much Do Consumers Benefit from New Brand Introductions? The Case of Potato Chips," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(01), pages 1-17, April.
    22. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    23. Ishida, Takashi & Fukushige, Mototsugu, 2010. "The effects of fishery harbor-based brands on the brand equity of shore fish: An empirical study of branded mackerel in Japan," Food Policy, Elsevier, vol. 35(5), pages 488-495, October.
    24. Raphael Thomadsen, 2007. "Product Positioning and Competition: The Role of Location in the Fast Food Industry," Marketing Science, INFORMS, vol. 26(6), pages 792-804, 11-12.
    25. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    26. Oğuz Çetin & Adam J. Mersereau & Ali K. Parlaktürk, 2020. "Management and Effects of In-Store Promotional Displays," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 481-494, May.
    27. Fernando Bernstein & Gregory A. DeCroix, 2015. "Advance Demand Information in a Multiproduct System," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 52-65, February.
    28. Pinar Karaca-Mandic, 2011. "Role of complementarities in technology adoption: The case of DVD players," Quantitative Marketing and Economics (QME), Springer, vol. 9(2), pages 179-210, June.
    29. Jack (Xinlei) Chen & Om Narasimhan & George John & Tirtha Dhar, 2010. "An Empirical Investigation of Private Label Supply by National Label Producers," Marketing Science, INFORMS, vol. 29(4), pages 738-755, 07-08.

  23. Nair, Harikesh S. & Chintagunta, Pradeep & Dube, Jean-Pierre, 2003. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Research Papers 1948, Stanford University, Graduate School of Business.

    Cited by:

    1. Maruyama, Masayoshi & Flath, David & Minamikawa, Kazumitsu & Ohkita, Kenichi & Zennyo, Yusuke, 2015. "Platform selection by software developers: Theory and evidence," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 282-303.
    2. Nicholas Economides & V. Brian Viard, 2005. "Pricing of Complementary Goods and Network Effects," Working Papers 05-04, NET Institute, revised Nov 2005.
    3. Stephen P. Ryan & Catherine Tucker, 2011. "Heterogeneity and the Dynamics of Technology Adoption," NBER Working Papers 17253, National Bureau of Economic Research, Inc.
    4. Kivi, Antero & Smura, Timo & Töyli, Juuso, 2012. "Technology product evolution and the diffusion of new product features," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 107-126.
    5. Donald Lehmann & Mercedes Esteban-Bravo, 2006. "When giving some away makes sense to jump-start the diffusion process," Marketing Letters, Springer, vol. 17(4), pages 243-254, December.
    6. Steven T. Berry & Philip Haile, 2015. "Identification in Differentiated Products Markets," NBER Working Papers 21500, National Bureau of Economic Research, Inc.
    7. Yuki Inoue, 2019. "Winner-Takes-All or Co-Evolution among Platform Ecosystems: A Look at the Competitive and Symbiotic Actions of Complementors," Sustainability, MDPI, vol. 11(3), pages 1-25, January.
    8. Knittel Christopher R. & Stango Victor, 2008. "Incompatibility, Product Attributes and Consumer Welfare: Evidence from ATMs," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-42, January.
    9. Matthew T. Clements & Hiroshi Ohashi, 2005. "Indirect Network Effects And The Product Cycle: Video Games In The U.S., 1994–2002," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 515-542, December.
    10. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Steven T. Berry & Philip A. Haile, 2014. "Identification in Differentiated Products Markets Using Market Level Data," Econometrica, Econometric Society, vol. 82(5), pages 1749-1797, September.
    12. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    13. Kim, Jin-Hyuk & Prince, Jeffrey & Qiu, Calvin, 2014. "Indirect network effects and the quality dimension: A look at the gaming industry," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 99-108.
    14. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    15. Anocha Aribarg & Neeraj Arora, 2008. "—Interbrand Variant Overlap: Impact on Brand Preference and Portfolio Profit," Marketing Science, INFORMS, vol. 27(3), pages 474-491, 05-06.
    16. Doan, Thanh & Manenti, Fabio M. & Mariuzzo, Franco, 2023. "Reprint of: Platform competition in the tablet PC market: The effect of application quality," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    17. Eryn Juan He & Joel Goh, 2022. "Profit or Growth? Dynamic Order Allocation in a Hybrid Workforce," Management Science, INFORMS, vol. 68(8), pages 5891-5906, August.
    18. Nicholas Economides & V. Brian Viard, 2010. "The Effect of Content on Global Internet Adoption and the Global “Digital Divide”," Working Papers 10-24, NET Institute, revised Sep 2013.
    19. Vincent Mak & Rami Zwick, 2010. "Investment Decisions and Coordination Problems in a Market with Network Externalities: An Experimental Study," Post-Print hal-00911829, HAL.
    20. Elizabeth J. Altman & Mary Tripsas, 2013. "Product to Platform Transitions: Organizational Identity Implications," Harvard Business School Working Papers 14-045, Harvard Business School, revised Sep 2014.
    21. Soichiro Takagi, 0. "Literature survey on the economic impact of digital platforms," International Journal of Economic Policy Studies, Springer, vol. 0, pages 1-16.
    22. Youseok Lee & Sang-Hoon Kim & Kyoung Cheon Cha, 2023. "The diffusion pattern of new products: evidence from the Korean movie industry," Asian Business & Management, Palgrave Macmillan, vol. 22(5), pages 1830-1847, November.
    23. Sun, Li & Rajiv, Surendra & Chu, Junhong, 2016. "Beyond the more the merrier: The variety effect and consumer heterogeneity in system markets," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 261-275.
    24. Kevin J. Boudreau & Andrei Hagiu, 2008. "Platform Rules: Multi-Sided Platforms as Regulators," Harvard Business School Working Papers 09-061, Harvard Business School.
    25. Jörg Claussen & Tobias Kretschmer & Thomas Spengler, 2012. "Market Leadership Through Technology - Backward Compatibility in the U.S. Handheld Video Game Industry," CEP Discussion Papers dp1124, Centre for Economic Performance, LSE.
    26. Catherine Tucker & Juanjuan Zhang, 2010. "Growing Two-Sided Networks by Advertising the User Base: A Field Experiment," Marketing Science, INFORMS, vol. 29(5), pages 805-814, 09-10.
    27. Kevin J. Boudreau, 2012. "Let a Thousand Flowers Bloom? An Early Look at Large Numbers of Software App Developers and Patterns of Innovation," Organization Science, INFORMS, vol. 23(5), pages 1409-1427, October.
    28. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
    29. Yuki Inoue & Masataka Hashimoto & Takeshi Takenaka, 2019. "Effectiveness of Ecosystem Strategies for the Sustainability of Marketplace Platform Ecosystems," Sustainability, MDPI, vol. 11(20), pages 1-33, October.
    30. Seo Eunji & Inoue Yuki, 2023. "Sales effect of a software product series’ length in Japan," Management & Marketing, Sciendo, vol. 18(3), pages 251-269, September.
    31. Stremersch, S. & Tellis, G.J. & Franses, Ph.H.B.F. & Binken, J.L.G., 2007. "Indirect Network Effects in New Product Growth," ERIM Report Series Research in Management ERS-2007-019-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    32. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    33. Kenneth S. Corts & Mara Lederman, 2007. "Software Exclusivity and the Scope of Indirect Network Effects in the U.S. Home Video Game Market," Working Papers 07-43, NET Institute, revised Nov 2007.
    34. Xiao Liu & Timothy Derdenger & Baohong Sun, 2018. "An Empirical Analysis of Consumer Purchase Behavior of Base Products and Add-ons Given Compatibility Constraints," Marketing Science, INFORMS, vol. 37(4), pages 569-591, August.
    35. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    36. Scott K. Shriver, 2010. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Working Papers 10-20, NET Institute.
    37. Christopher R. Knittel & Victor Stango, 2009. "How Does Incompatibility Affect Prices?: Evidence From Atm'S," Journal of Industrial Economics, Wiley Blackwell, vol. 57(3), pages 557-582, September.
    38. Scott K. Shriver, 2015. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Marketing Science, INFORMS, vol. 34(1), pages 78-97, January.
    39. Fournel, Jean-François, 2023. "Electric Vehicle Subsidies: Cost-Effectiveness and Emission Reductions," TSE Working Papers 23-1465, Toulouse School of Economics (TSE), revised Jun 2024.
    40. Firat Inceoglu & Minsoo Park, 2011. "Diffusion of a new product under network effects: the US DVD market," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4803-4815.
    41. Corts, Kenneth S., 2010. "Building out alternative fuel retail infrastructure: Government fleet spillovers in E85," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 219-234, May.
    42. Il-Horn Hann & Byungwan Koh & Marius F. Niculescu, 2016. "The Double-Edged Sword of Backward Compatibility: The Adoption of Multigenerational Platforms in the Presence of Intergenerational Services," Information Systems Research, INFORMS, vol. 27(1), pages 112-130, March.
    43. Nico Wiegand & Yuri Peers & Alexander Bleier, 2023. "Software multihoming to distal markets: Evidence of cannibalization and complementarity in the video game console industry," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 393-417, March.
    44. Daniel Birke, 2008. "The economics of networks - A survey of the empirical literature," Occasional Papers 22, Industrial Economics Division.
    45. Kevin Boudreau, 2010. "Open Platform Strategies and Innovation: Granting Access vs. Devolving Control," Management Science, INFORMS, vol. 56(10), pages 1849-1872, October.
    46. L. Wei & J. Xiao, 2012. "Factors affecting the take-off of innovative technologies: evidence from digital cameras," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4143-4152, November.
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Articles

  1. Navdeep S. Sahni & Harikesh S. Nair, 2020. "Sponsorship Disclosure and Consumer Deception: Experimental Evidence from Native Advertising in Mobile Search," Marketing Science, INFORMS, vol. 39(1), pages 5-32, January.
    See citations under working paper version above.
  2. Navdeep S Sahni & Harikesh S Nair, 2020. "Does Advertising Serve as a Signal? Evidence from a Field Experiment in Mobile Search," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(3), pages 1529-1564.
    See citations under working paper version above.
  3. Anna E. Tuchman & Harikesh S. Nair & Pedro M. Gardete, 2018. "Television ad-skipping, consumption complementarities and the consumer demand for advertising," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 111-174, June.

    Cited by:

    1. Garrett A. Johnson & Scott K. Shriver & Shaoyin Du, 2020. "Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?," Marketing Science, INFORMS, vol. 39(1), pages 33-51, January.
    2. Rex Yuxing Du & Mingyu Joo & Kenneth C. Wilbur, 2019. "Advertising and brand attitudes: Evidence from 575 brands over five years," Quantitative Marketing and Economics (QME), Springer, vol. 17(3), pages 257-323, September.
    3. Rex Yuxing Du & Mingyu Joo & Kenneth C. Wilbur, 2018. "Advertising and Brand Attitudes: Evidence from 575 Brands over Five Years," Papers 1810.07783, arXiv.org.
    4. Beth L. Fossen & Alexander Bleier, 2021. "Online program engagement and audience size during television ads," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 743-761, July.
    5. Andrey Simonov & Szymon Sacher & Jean-Pierre Dube & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic," Working Papers 2020-67, Becker Friedman Institute for Research In Economics.
    6. Matthew McGranaghan & Jura Liaukonyte & Kenneth C. Wilbur, 2022. "How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift," Marketing Science, INFORMS, vol. 41(5), pages 873-895, September.
    7. Brett R Gordon & Kinshuk Jerath & Zsolt Katona & Sridhar Narayanan & Jiwoong Shin & Kenneth C Wilbur, 2019. "Inefficiencies in Digital Advertising Markets," Papers 1912.09012, arXiv.org, revised Feb 2020.
    8. Pedro M. Gardete & Yakov Bart, 2018. "Tailored Cheap Talk: The Effects of Privacy Policy on Ad Content and Market Outcomes," Marketing Science, INFORMS, vol. 37(5), pages 733-752, September.
    9. Xiang Hui & Meng Liu & Raphael Thomadsen, 2022. "Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising," CESifo Working Paper Series 9886, CESifo.
    10. Adel A. Al-Wugayan, 2023. "Celebrity appeal effectiveness in donating to the cause: Popular Culture vs. Religious Celebrities," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 20(2), pages 369-391, June.
    11. Lynne Pepall & Daniel Richards, 2021. "Targeted Value-Enhancing Advertising and Price Competition," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 59(3), pages 443-459, November.
    12. Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.
    13. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    14. Elif Ülker-demirel & Erkan Yıldız, 2020. "The Effects of Audience's Attitudes on Actor, Character, Movie and Product Placement on the Brand Attitude," Istanbul Business Research, Istanbul University Business School, vol. 49(2), pages 339-359, November.

  4. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.

    Cited by:

    1. Yaxuan Ran & Jiani Liu & Yishi Zhang, 2023. "Integrating Users’ Contextual Engagements with Their General Preferences: An Interpretable Followee Recommendation Method," INFORMS Journal on Computing, INFORMS, vol. 35(3), pages 614-632, May.
    2. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
    3. Sunghun Chung & Animesh Animesh & Kunsoo Han & Alain Pinsonneault, 2020. "Financial Returns to Firms’ Communication Actions on Firm-Initiated Social Media: Evidence from Facebook Business Pages," Information Systems Research, INFORMS, vol. 31(1), pages 258-285, March.
    4. Phillips, Duygu & Moore, Curt B. & Rutherford, Matthew W., 2025. "Legitimating language and emotional tone in antenarratives: A cultural entrepreneurship perspective," Journal of Business Research, Elsevier, vol. 186(C).
    5. Syrdal, Holly A. & Myers, Susan & Sen, Sandipan & Woodroof, Parker J. & McDowell, William C., 2023. "Influencer marketing and the growth of affiliates: The effects of language features on engagement behavior," Journal of Business Research, Elsevier, vol. 163(C).
    6. Blanca I. Hernández-Ortega & Michael A. Stanko & Rishika Rishika & Francisco-Jose Molina-Castillo & José Franco, 2022. "Brand-generated social media content and its differential impact on loyalty program members," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1071-1090, September.
    7. Shahbaznezhad, Hamidreza & Dolan, Rebecca & Rashidirad, Mona, 2021. "The Role of Social Media Content Format and Platform in Users' Engagement Behavior," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 47-65.
    8. Bei Yan & Feng Mai & Chaojiang Wu & Rui Chen & Xiaolin Li, 2024. "A Computational Framework for Understanding Firm Communication During Disasters," Information Systems Research, INFORMS, vol. 35(2), pages 590-608, June.
    9. Gordon Burtch & Edward McFowland III & Mochen Yang & Gediminas Adomavicius, 2023. "EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference," Papers 2303.02820, arXiv.org, revised Dec 2024.
    10. Si Xie & Ghulam Rasool Madni, 2023. "Impact of Social Media on Young Generation’s Green Consumption Behavior through Subjective Norms and Perceived Green Value," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    11. (Monroe) Meng, Lu & Kou, Sining & Duan, Shen & Bie, Yongyue, 2024. "The impact of content characteristics of Short-Form video ads on consumer purchase Behavior: Evidence from TikTok," Journal of Business Research, Elsevier, vol. 183(C).
    12. Garz, Marcel & Sörensen, Jil & Stone, Daniel F., 2020. "Partisan selective engagement: Evidence from Facebook," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 91-108.
    13. Razzaq, Ali & Shao, Wei & Quach, Sara, 2024. "Meme marketing effectiveness: A moderated-mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    14. Hyelim Oh & Khim-Yong Goh & Tuan Q. Phan, 2023. "Are You What You Tweet? The Impact of Sentiment on Digital News Consumption and Social Media Sharing," Information Systems Research, INFORMS, vol. 34(1), pages 111-136, March.
    15. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
    16. Mary Beth McCabe & Richard Weaver, 2018. "Social Media Marketing Strategies For Educational Programs," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 12(2), pages 53-62.
    17. Sameer Mehta & Milind Dawande & Ganesh Janakiraman & Vijay Mookerjee, 2021. "How to Sell a Data Set? Pricing Policies for Data Monetization," Information Systems Research, INFORMS, vol. 32(4), pages 1281-1297, December.
    18. Nekmahmud, Md. & Naz, Farheen & Ramkissoon, Haywantee & Fekete-Farkas, Maria, 2022. "Transforming consumers' intention to purchase green products: Role of social media," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    19. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
    20. Chenshuo Sun & Panagiotis Adamopoulos & Anindya Ghose & Xueming Luo, 2022. "Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model," Information Systems Research, INFORMS, vol. 33(2), pages 429-445, June.
    21. Fab-Ukozor Nkem & Onyebuchi Alexander Chima & Obayi Paul Martins & Anorue Luke Ifeanyi & Onwude Nnenna Fiona, 2020. "Portrayal of Women in Advertising on Facebook and Instagram," Proceedings of the 18th International RAIS Conference, August 17-18, 2020 019fun, Research Association for Interdisciplinary Studies.
    22. Hongshuang (Alice) Li, 2022. "Converting free users to paid subscribers in the SaaS context: The impact of marketing touchpoints, message content, and usage," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2185-2203, May.
    23. Beata Zatwarnicka-Madura & Robert Nowacki & Iwona Wojciechowska, 2022. "Influencer Marketing as a Tool in Modern Communication—Possibilities of Use in Green Energy Promotion amongst Poland’s Generation Z," Energies, MDPI, vol. 15(18), pages 1-22, September.
    24. Wang, Xiaoyi & Qiu, Xingyi, 2024. "The positive effect of artificial intelligence technology transparency on digital endorsers: Based on the theory of mind perception," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    25. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
    26. Osei-Frimpong, Kofi & McLean, Graeme & Islam, Nazrul & Appiah Otoo, Brigid, 2022. "What drives me there? The interplay of socio-psychological gratification and consumer values in social media brand engagement," Journal of Business Research, Elsevier, vol. 146(C), pages 288-307.
    27. Liu, Xingyi, 2022. "Competitive pricing and advertising with spillover," Journal of Mathematical Economics, Elsevier, vol. 101(C).
    28. Alice Mazzucchelli & Roberto Chierici & Angelo Di Gregorio & Claudio Chiacchierini, 2021. "Is Facebook an effective tool to access foreign markets? Evidence from international export performance of fashion firms," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1107-1144, December.
    29. Yang Gao & Wenjing Duan & Huaxia Rui, 2022. "Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry," Information Systems Research, INFORMS, vol. 33(3), pages 954-977, September.
    30. Lim, Weng Marc & Rasul, Tareq, 2022. "Customer engagement and social media: Revisiting the past to inform the future," Journal of Business Research, Elsevier, vol. 148(C), pages 325-342.
    31. Abbasi, Amir Zaib & Tsiotsou, Rodoula H. & Hussain, Khalil & Rather, Raouf Ahmad & Ting, Ding Hooi, 2023. "Investigating the impact of social media images’ value, consumer engagement, and involvement on eWOM of a tourism destination: A transmittal mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    32. Moritz T. Bruckner & Dennis M. Steininger & Jason Bennett Thatcher & Daniel J. Veit, 2023. "The effect of lockup and persuasion on online investment decisions: An experimental study in ICOs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-25, December.
    33. Jifeng Mu & Jonathan Zhang & Abhishek Borah & Jiayin Qi, 2022. "Creative Appeals in Firm-Generated Content and Product Performance," Information Systems Research, INFORMS, vol. 33(1), pages 18-42, March.
    34. Zhao, Lu & Zhang, Mingli & Ming, Yaxin & Niu, Tao & Wang, Yu, 2023. "The effect of image richness on customer engagement: Evidence from Sina Weibo," Journal of Business Research, Elsevier, vol. 154(C).
    35. Abouk, Rahi & Jalali, Nima & Papatla, Purushottam, 2024. "Can tweets be word of mouth that changes risky behaviors?," Journal of Business Research, Elsevier, vol. 174(C).
    36. Xiao, Tingwen & Wei, Haiying & Chen, Siyun, 2024. "Prominent or subtle: The impact of brand prominence on social media advertisement engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
    37. Aridor, Guy & Jiménez-Durán, Rafael & Levy, Ro'ee & Song, Lena, 2024. "The Economics of Social Media," CEPR Discussion Papers 18821, C.E.P.R. Discussion Papers.
    38. Wang, Feng & Zhang, Xueting & Chen, Man & Zeng, Wei & Cao, Rong, 2022. "The influential paradox: Brand and deal content sharing by influencers in friendship networks," Journal of Business Research, Elsevier, vol. 150(C), pages 503-514.
    39. Luzon, Yossi & Pinchover, Rotem & Khmelnitsky, Eugene, 2022. "Dynamic budget allocation for social media advertising campaigns: optimization and learning," European Journal of Operational Research, Elsevier, vol. 299(1), pages 223-234.
    40. Brittany Ryder & Tingting Zhang & Nan Hua, 2021. "The Social Media “Magic”: Virtually Engaging Visitors during COVID-19 Temporary Closures," Administrative Sciences, MDPI, vol. 11(2), pages 1-15, May.
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    42. Kunpeng Zhang & Wendy Moe, 2021. "Measuring Brand Favorability Using Large-Scale Social Media Data," Information Systems Research, INFORMS, vol. 32(4), pages 1128-1139, December.
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    114. M. Alonso-Dos-Santos & M. Alguacil Jiménez & E. Carvajal-Trujillo, 2020. "Facebook commerce usage intention: a symmetric and asymmetric approach," Information Technology and Management, Springer, vol. 21(3), pages 145-156, September.
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    116. María Bonilla-Quijada & Juan Tugores-Ques & Josep Lluís Olmo Arriaga, 2021. "Promotion of urban tourism: insights into user engagement on social media," Information Technology & Tourism, Springer, vol. 23(4), pages 611-632, December.
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  5. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    See citations under working paper version above.
  6. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    See citations under working paper version above.
  7. Wesley Hartmann & Harikesh S. Nair & Sridhar Narayanan, 2011. "Identifying Causal Marketing Mix Effects Using a Regression Discontinuity Design," Marketing Science, INFORMS, vol. 30(6), pages 1079-1097, November.

    Cited by:

    1. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    2. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    3. Xie, Haitian & Zhu, Ying & Shishkin, Denis, 2025. "On the limitations of data-based price discrimination," Theoretical Economics, Econometric Society, vol. 20(1), January.
    4. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    5. Wooyong Jo & Sarang Sunder & Jeonghye Choi & Minakshi Trivedi, 2020. "Protecting Consumers from Themselves: Assessing Consequences of Usage Restriction Laws on Online Game Usage and Spending," Marketing Science, INFORMS, vol. 39(1), pages 117-133, January.
    6. Hyung Sup (Zack) Bhan & Eric T. Anderson, 2023. "Multiyear Impact of Backorder Delays: A Quasi-Experimental Approach," Marketing Science, INFORMS, vol. 42(2), pages 314-335, March.
    7. Xitong Li, 2018. "Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold," Information Systems Research, INFORMS, vol. 29(3), pages 739-754, September.
    8. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    9. Makoto Mizuno & Hideaki Aoyama & Yoshi Fujiwara, 2020. "Untangling the complexity of market competition in consumer goods -A complex Hilbert PCA analysis," Papers 2008.11327, arXiv.org.
    10. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    11. Puneet Manchanda & Grant Packard & Adithya Pattabhiramaiah, 2015. "Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community," Marketing Science, INFORMS, vol. 34(3), pages 367-387, May.
    12. Arun Gopalakrishnan & Eric T. Bradlow & Peter S. Fader, 2017. "A Cross-Cohort Changepoint Model for Customer-Base Analysis," Marketing Science, INFORMS, vol. 36(2), pages 195-213, March.
    13. Sridhar Narayanan & Kirthi Kalyanam, 2015. "Position Effects in Search Advertising and their Moderators: A Regression Discontinuity Approach," Marketing Science, INFORMS, vol. 34(3), pages 388-407, May.
    14. Makoto MIZUNO & Hideaki AOYAMA & Yoshi FUJIWARA, 2020. "Constructing the Customer Journey Map of Competitive Brands: A Complex Time-series Analysis," Discussion papers 20070, Research Institute of Economy, Trade and Industry (RIETI).

  8. Sanjog Misra & Harikesh Nair, 2011. "A structural model of salesforce compensation dynamics: Response to Profs. Rust and Staelin," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 267-273, September.

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    1. Gökkoca, Gökçe, 2024. "Antibiotic Stewardship in Primary Care: Evidence from Pay-for-Performance in France," TSE Working Papers 24-1567, Toulouse School of Economics (TSE).
    2. Abeler, Johannes & Huffman, David B. & Raymond, Collin, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," IZA Discussion Papers 16284, Institute of Labor Economics (IZA).
    3. Honda, Jun & Inderst, Roman, 2017. "Nonlinear Incentives and Advisor Bias," EconStor Preprints 253657, ZBW - Leibniz Information Centre for Economics.
    4. Minkyung Kim & K. Sudhir & Kosuke Uetake & Rodrigo Canales, 2018. "When Salespeople Manage Customer Relationships: Multidimensional Incentives and Private Information," Cowles Foundation Discussion Papers 2122, Cowles Foundation for Research in Economics, Yale University.
    5. Kräkel, Matthias, 2021. "On the delegation of authority," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 965-981.
    6. Long Gao, 2023. "Optimal Incentives for Salespeople with Learning Potential," Management Science, INFORMS, vol. 69(6), pages 3285-3296, June.
    7. Marc Fischer & Hyun S. Shin & Dominique M. Hanssens, 2016. "Brand Performance Volatility from Marketing Spending," Management Science, INFORMS, vol. 62(1), pages 197-215, January.
    8. Steven Lu & Andre Bonfrer & Ranjit Voola, 2015. "Retaining Talented Salespeople," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 148-164, June.

  9. Sanjog Misra & Harikesh Nair, 2011. "A structural model of sales-force compensation dynamics: Estimation and field implementation," Quantitative Marketing and Economics (QME), Springer, vol. 9(3), pages 211-257, September.
    See citations under working paper version above.
  10. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.

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    1. Nguyen Tien Thong & Hans Stubbe Solgaard & Wolfgang Haider & Eva Roth & Lars Ravn†Jonsen, 2018. "Using labeled choice experiments to analyze demand structure and market position among seafood products," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 163-189, March.
    2. Deng, Yewen & Li, Na & Jiang, Zhibin & Xie, Xiaoqing & Kong, Nan, 2021. "Optimal differential subsidy policy design for a workload-imbalanced outpatient care network," Omega, Elsevier, vol. 99(C).
    3. Vincent R. Nijs & Kanishka Misra & Karsten Hansen, 2014. "Outsourcing Retail Pricing to a Category Captain: The Role of Information Firewalls," Marketing Science, INFORMS, vol. 33(1), pages 66-81, January.
    4. Galasso, Alberto & Mitchell, Matthew & Virag, Gabor, 2016. "Market outcomes and dynamic patent buyouts," International Journal of Industrial Organization, Elsevier, vol. 48(C), pages 207-243.
    5. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    6. André de Palma & Karim Kilani & Gilbert Laffond, 2013. "Best and worst choices," Working Papers halshs-00825656, HAL.
    7. Aydın Alptekinoğlu & John H. Semple, 2021. "Heteroscedastic Exponomial Choice," Operations Research, INFORMS, vol. 69(3), pages 841-858, May.
    8. Saavedra, José Luis & González, Ana Karina, 2015. "WTP consumer's key factors for local and regional newspaper print subscription plans," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 164-169.
    9. Adam N. Smith & Peter E. Rossi & Greg M. Allenby, 2019. "Inference for Product Competition and Separable Demand," Marketing Science, INFORMS, vol. 38(4), pages 690-710, July.
    10. Matthew McGranaghan & Jura Liaukonyte & Kenneth C. Wilbur, 2022. "How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift," Marketing Science, INFORMS, vol. 41(5), pages 873-895, September.
    11. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," Post-Print hal-02154445, HAL.
    12. Sanghak Lee & Greg M. Allenby, 2014. "Modeling Indivisible Demand," Marketing Science, INFORMS, vol. 33(3), pages 364-381, May.
    13. Francisco J. R. Ruiz & Susan Athey & David M. Blei, 2017. "SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements," Papers 1711.03560, arXiv.org, revised Jun 2019.
    14. Anna E. Tuchman & Harikesh S. Nair & Pedro M. Gardete, 2018. "Television ad-skipping, consumption complementarities and the consumer demand for advertising," Quantitative Marketing and Economics (QME), Springer, vol. 16(2), pages 111-174, June.
    15. Na-na Wang & Liang-guo Luo & Ya-ru Pan & Xue-mei Ni, 2019. "Use of discrete choice experiments to facilitate design of effective environmentally friendly agricultural policies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1543-1559, August.
    16. Aditya Jain & Sanjog Misra & Nils Rudi, 2020. "The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 273-303, September.
    17. Aloys Prinz, 2019. "The microeconomics of mobile payments," Netnomics, Springer, vol. 20(2), pages 129-151, December.
    18. Zenetti, German & Klapper, Daniel, 2016. "Advertising Effects Under Consumer Heterogeneity – The Moderating Role of Brand Experience, Advertising Recall and Attitude," Journal of Retailing, Elsevier, vol. 92(3), pages 352-372.
    19. Yukihiro Kidokoro, 2015. "Discrete choice models for multicategory goods," GRIPS Discussion Papers 15-08, National Graduate Institute for Policy Studies.
    20. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    21. Ben Aoki-Sherwood & Catherine Bregou & David Liben-Nowell & Kiran Tomlinson & Thomas Zeng, 2024. "Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models," Papers 2401.11016, arXiv.org.
    22. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    23. Andrew Daly, 2014. "Forecasting choice," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 25, pages 627-646, Edward Elgar Publishing.
    24. Robert P. Rooderkerk & Harald J. van Heerde & Tammo H. A. Bijmolt, 2013. "Optimizing Retail Assortments," Marketing Science, INFORMS, vol. 32(5), pages 699-715, September.

  11. Wesley R. Hartmann & Harikesh S. Nair, 2010. "Retail Competition and the Dynamics of Demand for Tied Goods," Marketing Science, INFORMS, vol. 29(2), pages 366-386, 03-04.

    Cited by:

    1. Stephen P. Ryan & Catherine Tucker, 2011. "Heterogeneity and the Dynamics of Technology Adoption," NBER Working Papers 17253, National Bureau of Economic Research, Inc.
    2. Bonfrer, André & Chintagunta, Pradeep & Dhar, Sanjay, 2022. "Retail store formats, competition and shopper behavior: A Systematic review," Journal of Retailing, Elsevier, vol. 98(1), pages 71-91.
    3. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    4. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    5. Tiago Pires, 2016. "Costly search and consideration sets in storable goods markets," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 157-193, September.
    6. Minjung Kwon & Tülin Erdem & Masakazu Ishihara, 2023. "Counter-cyclical price promotion: Capturing seasonal changes in stockpiling and endogenous consumption," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 437-492, December.
    7. Xiao Liu & Timothy Derdenger & Baohong Sun, 2018. "An Empirical Analysis of Consumer Purchase Behavior of Base Products and Add-ons Given Compatibility Constraints," Marketing Science, INFORMS, vol. 37(4), pages 569-591, August.
    8. Mantian (Mandy) Hu & Chu (Ivy) Dang & Pradeep K. Chintagunta, 2019. "Search and Learning at a Daily Deals Website," Marketing Science, INFORMS, vol. 38(4), pages 609-642, July.
    9. Navid Mojir & K. Sudhir, 2014. "Price Search Across Stores and Across Time," Cowles Foundation Discussion Papers 1942, Cowles Foundation for Research in Economics, Yale University, revised Mar 2016.
    10. Jean‐Pierre Dubé & Günter J. Hitsch & Peter E. Rossi, 2010. "State dependence and alternative explanations for consumer inertia," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 417-445, September.
    11. Matsumoto, Tomoki & Kamai, Tomohito & Kanazawa, Yuichiro, 2024. "Examining bargaining power in the distribution channel under possible price pass-through behaviors of retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    12. Jiang, Yuanchun & Shang, Jennifer & Liu, Yezheng & May, Jerrold, 2015. "Redesigning promotion strategy for e-commerce competitiveness through pricing and recommendation," International Journal of Production Economics, Elsevier, vol. 167(C), pages 257-270.
    13. Yufeng Huang, 2022. "Tied Goods and Consumer Switching Costs," Marketing Science, INFORMS, vol. 41(1), pages 93-114, January.
    14. Brett R. Gordon & Baohong Sun, 2015. "A Dynamic Model of Rational Addiction: Evaluating Cigarette Taxes," Marketing Science, INFORMS, vol. 34(3), pages 452-470, May.
    15. Avery Haviv & Yufeng Huang & Nan Li, 2020. "Intertemporal Demand Spillover Effects on Video Game Platforms," Management Science, INFORMS, vol. 66(10), pages 4788-4807, October.
    16. Sanjiv Erat & Sreekumar R. Bhaskaran, 2012. "Consumer Mental Accounts and Implications to Selling Base Products and Add-ons," Marketing Science, INFORMS, vol. 31(5), pages 801-818, September.
    17. Stanley Frederick W. T. Lim & Elliot Rabinovich & Sungho Park & Minha Hwang, 2021. "Shopping Activity at Warehouse Club Stores and Its Competitive and Network Density Implications," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 28-46, January.
    18. Haitham Nobanee & Mehroz Nida Dilshad & Mona Al Dhanhani & Maitha Al Neyadi & Sultan Al Qubaisi & Saeed Al Shamsi, 2021. "Big Data Applications the Banking Sector: A Bibliometric Analysis Approach," SAGE Open, , vol. 11(4), pages 21582440211, December.
    19. Xiao Liu & Alan Montgomery & Kannan Srinivasan, 2018. "Analyzing Bank Overdraft Fees with Big Data," Marketing Science, INFORMS, vol. 37(6), pages 855-882, November.
    20. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
    21. Emily Yucai Wang, 2015. "The impact of soda taxes on consumer welfare: implications of storability and taste heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 409-441, June.
    22. Ahmadi, Iman & Skiera, Bernd & Lambrecht, Anja & Heubrandner, Florian, 2017. "Time preferences and the pricing of complementary durables and consumables," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 813-828.
    23. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
    24. Navid Mojir & K. Sudhir, 2014. "Price Search Across Time and Across Stores," Cowles Foundation Discussion Papers 1942R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
    25. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    26. Carl F. Mela, 2011. "Structural Workshop Paper --Data Selection and Procurement," Marketing Science, INFORMS, vol. 30(6), pages 965-976, November.
    27. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
    28. Timothy Derdenger & Vineet Kumar, 2013. "The Dynamic Effects of Bundling as a Product Strategy," Marketing Science, INFORMS, vol. 32(6), pages 827-859, November.
    29. Pradeep K. Chintagunta & Marco Shaojun Qin & Maria Ana Vitorino, 2018. "Licensing and Price Competition in Tied-Goods Markets: An Application to the Single-Serve Coffee System Industry," Marketing Science, INFORMS, vol. 37(6), pages 883-911, November.
    30. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
    31. Ron N. Borkovsky, 2017. "The timing of version releases: A dynamic duopoly model," Quantitative Marketing and Economics (QME), Springer, vol. 15(3), pages 187-239, September.
    32. Avery Haviv, 2022. "Consumer Search, Price Promotions, and Counter-Cyclic Pricing," Marketing Science, INFORMS, vol. 41(2), pages 294-314, March.

  12. Pradeep K. Chintagunta & Harikesh S. Nair & R. Sukumar, 2009. "Measuring marketing‐mix effects in the 32/64 bit video‐game console market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(3), pages 421-445, April.

    Cited by:

    1. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
    2. Edward G. Anderson & Geoffrey G. Parker & Burcu Tan, 2014. "Platform Performance Investment in the Presence of Network Externalities," Information Systems Research, INFORMS, vol. 25(1), pages 152-172, March.
    3. Marc Rysman, 2019. "The reflection problem in network effect estimation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 153-158, January.
    4. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.

  13. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.

    Cited by:

    1. A. Yeşim Orhun, 2013. "Spatial differentiation in the supermarket industry: The role of common information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 3-37, March.
    2. Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
    3. Park, Minjung, 2019. "Selection bias in estimation of peer effects in product adoption," Journal of choice modelling, Elsevier, vol. 30(C), pages 17-27.
    4. Jonathan Z. Zhang, 2019. "Dynamic customer interdependence," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 723-746, July.
    5. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    6. Robert, Verónica & Yoguel, Gabriel, 2016. "Complexity paths in neo-Schumpeterian evolutionary economics, structural change and development policies," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 3-14.
    7. Shriver, Scott K. & Nair, Harikesh S. & Hofstetter, Reto, 2011. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Research Papers 2083, Stanford University, Graduate School of Business.
    8. Julian Inchauspe, 2021. "Modelling Facebook and Outlook event attendance decisions: coordination traps and herding," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 797-815, October.
    9. Yan Chen & Youran Qi & Qing Liu & Peter Chien, 2018. "Sequential sampling enhanced composite likelihood approach to estimation of social intercorrelations in large-scale networks," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 409-440, December.
    10. Mondal, Aupal & Bhat, Chandra R., 2022. "A spatial rank-ordered probit model with an application to travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 374-393.
    11. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    12. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda_v1, Center for Open Science.
    13. Lin Zhang & Xiaojun Zhang & Youmin Xi, 2017. "The sociality of resources: Understanding organizational competitive advantage from a social perspective," Asia Pacific Journal of Management, Springer, vol. 34(3), pages 619-648, September.
    14. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    15. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    16. Monic Sun & Xiaoquan (Michael) Zhang & Feng Zhu, 2019. "U-Shaped Conformity in Online Social Networks," Marketing Science, INFORMS, vol. 38(3), pages 461-480, May.
    17. Daniel Birke, 2008. "The economics of networks - A survey of the empirical literature," Occasional Papers 22, Industrial Economics Division.
    18. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda, Center for Open Science.
    19. Grant Miller & A. Mushfiq Mobarak, 2015. "Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh," Marketing Science, INFORMS, vol. 34(4), pages 480-499, July.
    20. Alexandra E. Hill & Jesse Burkhardt, 2021. "Peers in the Field: The Role of Ability and Gender in Peer Effects among Agricultural Workers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 790-811, May.
    21. Sadat Reza & Puneet Manchanda & Juin-Kuan Chong, 2021. "Identification and Estimation of Endogenous Peer Effects Using Partial Network Data from Multiple Reference Groups," Management Science, INFORMS, vol. 67(8), pages 5070-5105, August.
    22. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
    23. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    24. Craig Tutterow & Guillaume Saint-Jacques, 2019. "Estimating Network Effects Using Naturally Occurring Peer Notification Queue Counterfactuals," Papers 1902.07133, arXiv.org.
    25. Ballings, Michel & Van den Poel, Dirk, 2015. "CRM in social media: Predicting increases in Facebook usage frequency," European Journal of Operational Research, Elsevier, vol. 244(1), pages 248-260.
    26. Hema Yoganarasimhan, 2012. "Impact of social network structure on content propagation: A study using YouTube data," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 111-150, March.
    27. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    28. Michal Grajek & Tobias Kretschmer, 2008. "Estimating critical mass in the global cellular telephony market," ESMT Research Working Papers ESMT-08-004 (R1), ESMT European School of Management and Technology, revised 15 Apr 2010.
    29. Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick & Steven Sexton, 2022. "Visibility and Peer Influence in Durable Good Adoption," Marketing Science, INFORMS, vol. 41(3), pages 453-476, May.
    30. Xiaohua Zeng & Liyuan Wei, 2013. "Social Ties and User Content Generation: Evidence from Flickr," Information Systems Research, INFORMS, vol. 24(1), pages 71-87, March.
    31. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
    32. P. Baecke & D. Van Den Poel, 2012. "Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/819, Ghent University, Faculty of Economics and Business Administration.
    33. DeCampos, Hugo A. & Rosales, Claudia R. & Narayanan, Sriram, 2022. "Supply chain horizontal complexity and the moderating impact of inventory turns: A study of the automotive component industry," International Journal of Production Economics, Elsevier, vol. 245(C).
    34. Bryan Bollinger & Kenneth Gillingham & Stefan Lamp & Tsvetan Tsvetanov, 2024. "Promotional Campaign Duration and Word of Mouth in Solar Panel Adoption," Marketing Science, INFORMS, vol. 43(5), pages 1132-1148, September.
    35. Sharique Hasan & Surendrakumar Bagde, 2015. "Peers and Network Growth: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 61(10), pages 2536-2547, October.
    36. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    37. Mahmood, Ammara & Sismeiro, Catarina, 2017. "Will They Come and Will They Stay? Online Social Networks and News Consumption on External Websites," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 117-132.
    38. Birke, Daniel & Swann, G.M. Peter, 2010. "Network effects, network structure and consumer interaction in mobile telecommunications in Europe and Asia," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 153-167, November.
    39. Xin Geng & Xiaomeng Guo & Guang Xiao, 2022. "Impact of Social Interactions on Duopoly Competition with Quality Considerations," Management Science, INFORMS, vol. 68(2), pages 941-959, February.
    40. Grajek, Michał & Kretschmer, Tobias, 2012. "Identifying critical mass in the global cellular telephony market," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 496-507.
    41. Chandra Bhat, 2015. "A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation," Transportation, Springer, vol. 42(5), pages 879-914, September.
    42. Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
    43. Coby Morvinski & On Amir & Eitan Muller, 2017. "“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial," Marketing Science, INFORMS, vol. 36(2), pages 290-300, March.
    44. Eric M. Schwartz & Eric T. Bradlow & Peter S. Fader, 2014. "Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data," Marketing Science, INFORMS, vol. 33(2), pages 188-205, March.
    45. Yuan, Xuchuan & Brian Hwarng, H., 2023. "Examining the dynamics of reactive capacity allocation through a chaos lens," European Journal of Operational Research, Elsevier, vol. 308(2), pages 912-928.
    46. Rangaswamy, Arvind & Moch, Nicole & Felten, Claudio & van Bruggen, Gerrit & Wieringa, Jaap E. & Wirtz, Jochen, 2020. "The Role of Marketing in Digital Business Platforms," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 72-90.
    47. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    48. Hornuf, Lars & Engert, Andreas, 2013. "Can Network Effects Impede Optimal Contracting in Debt Securities?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79867, Verein für Socialpolitik / German Economic Association.
    49. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
    50. José Tudón, 2022. "Distilling network effects from Steam," Quantitative Marketing and Economics (QME), Springer, vol. 20(3), pages 293-312, September.
    51. Fred Feinberg & Elizabeth Bruch & Michael Braun & Brett Hemenway Falk & Nina Fefferman & Elea McDonnell Feit & John Helveston & Daniel Larremore & Blakeley B. McShane & Alice Patania & Mario L. Small, 2020. "Choices in networks: a research framework," Marketing Letters, Springer, vol. 31(4), pages 349-359, December.
    52. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    53. Joseph Kuehn, 2020. "Strategic Complementarities in Bank Branching Decisions," Journal of Industrial Economics, Wiley Blackwell, vol. 68(4), pages 640-692, December.
    54. Haibing Gao & Subodha Kumar & Yinliang (Ricky) Tan & Huazhong Zhao, 2022. "Socialize More, Pay Less: Randomized Field Experiments on Social Pricing," Information Systems Research, INFORMS, vol. 33(3), pages 935-953, September.
    55. Sungjoon Nam & Puneet Manchanda & Pradeep K. Chintagunta, 2010. "The Effect of Signal Quality and Contiguous Word of Mouth on Customer Acquisition for a Video-on-Demand Service," Marketing Science, INFORMS, vol. 29(4), pages 690-700, 07-08.
    56. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    57. Lu, Yu & Cao, Yue, 2018. "The individual characteristics of board members and internal control weakness: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 75-94.
    58. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
    59. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    60. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    61. Liye Ma & Ramayya Krishnan & Alan L. Montgomery, 2015. "Latent Homophily or Social Influence? An Empirical Analysis of Purchase Within a Social Network," Management Science, INFORMS, vol. 61(2), pages 454-473, February.
    62. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
    63. Vincent Labatut & Jean-Michel Balasque, 2010. "Business-oriented Analysis of a Social Network of University Students," Post-Print hal-00633643, HAL.
    64. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
    65. Mina Ameri & Elisabeth Honka & Ying Xie, 2019. "Word of Mouth, Observed Adoptions, and Anime-Watching Decisions: The Role of the Personal vs. the Community Network," Marketing Science, INFORMS, vol. 38(4), pages 567-583, July.
    66. Kim, Jikyung (Jeanne) & Kim, Sanghwa & Choi, Jeonghye, 2020. "Purchase now and consume later: Do online and offline environments drive online social interactions and sales?," Journal of Business Research, Elsevier, vol. 120(C), pages 274-285.

  14. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    See citations under working paper version above.
  15. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
    See citations under working paper version above.
  16. Harikesh Nair & Pradeep Chintagunta & Jean-Pierre Dubé, 2004. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Quantitative Marketing and Economics (QME), Springer, vol. 2(1), pages 23-58, March.
    See citations under working paper version above.
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