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Shibo Li

Personal Details

First Name:Shibo
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli927
[This author has chosen not to make the email address public]
Terminal Degree:2003 Tepper School of Business Administration; Carnegie Mellon University (from RePEc Genealogy)

Affiliation

Cheung Kong Graduate School of Business

Beijing, China
http://www.ckgsb.edu.cn/
RePEc:edi:ckgsbcn (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Ajay Kalra & Shibo Li & Wei Zhang, 2011. "Understanding Responses to Contradictory Information About Products," Marketing Science, INFORMS, vol. 30(6), pages 1098-1114, November.
  2. Ajay Kalra & Shibo Li, 2008. "Signaling Quality Through Specialization," Marketing Science, INFORMS, vol. 27(2), pages 168-184, 03-04.
  3. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Ajay Kalra & Shibo Li, 2008. "Signaling Quality Through Specialization," Marketing Science, INFORMS, vol. 27(2), pages 168-184, 03-04.

    Mentioned in:

    1. Working High: Who’s on Top in Office Buildings?
      by Jason Barr in Skynomics Blog on 2018-03-08 17:11:18

Articles

  1. Ajay Kalra & Shibo Li & Wei Zhang, 2011. "Understanding Responses to Contradictory Information About Products," Marketing Science, INFORMS, vol. 30(6), pages 1098-1114, November.

    Cited by:

    1. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    2. Jie Bai, 2016. "Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation," Natural Field Experiments 00540, The Field Experiments Website.
    3. 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.
    4. McKibbin, Rebecca, 2023. "The effect of RCTs on drug demand: Evidence from off-label cancer drugs," Journal of Health Economics, Elsevier, vol. 90(C).
    5. Andrew T. Ching & Robert Clark & Ignatius Horstmann & Hyunwoo Lim, 2016. "The Effects of Publicity on Demand: The Case of Anti-Cholesterol Drugs," Marketing Science, INFORMS, vol. 35(1), pages 158-181, January.
    6. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    7. Katharina Elisabeth Blankart & Tom Stargardt, 2020. "The impact of drug quality ratings from health technology assessments on the adoption of new drugs by physicians in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 63-82, October.
    8. Jürgen Maurer & Katherine M. Harris, 2016. "Learning to Trust Flu Shots: Quasi‐Experimental Evidence from the 2009 Swine Flu Pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1148-1162, September.
    9. Maurer, J. & Harris, K.M., 2015. "Learning to trust flu shots: quasi-experimental evidence on the role of learning in influenza vaccination decisions from the 2009 influenza A/H1N1 (swine flu) pandemic," Health, Econometrics and Data Group (HEDG) Working Papers 15/19, HEDG, c/o Department of Economics, University of York.

  2. Ajay Kalra & Shibo Li, 2008. "Signaling Quality Through Specialization," Marketing Science, INFORMS, vol. 27(2), pages 168-184, 03-04.

    Cited by:

    1. Yu‐Hung Chen & Baojun Jiang, 2021. "Dynamic Pricing and Price Commitment of New Experience Goods," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2752-2764, August.
    2. Onur, Ilke & Bruwer, Johan & Lockshin, Larry, 2020. "Reducing information asymmetry in the auctioning of non-perishable experience goods: The case of online wine auctions," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    3. Amy Wenxuan Ding & Shibo Li, 2019. "Herding in the consumption and purchase of digital goods and moderators of the herding bias," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 460-478, May.
    4. Anderson, Simon & Renault, Régis, 2012. "The advertising mix for a search good," CEPR Discussion Papers 8756, C.E.P.R. Discussion Papers.
    5. Ying Gao & Xiangpei Hu & Qingkai Ji, 2022. "Quality signaling strategies of experience goods in online–offline channel integration," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2967-2981, October.
    6. Archishman Chakraborty & Rick Harbaugh, 2014. "Persuasive Puffery," Marketing Science, INFORMS, vol. 33(3), pages 382-400, May.
      • Archishman Chakraborty & Rick Harbaugh, 2012. "Persuasive Puffery," Working Papers 2012-05, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    7. Heng Tang & Xiaowan Lin, 2019. "Curbing shopping cart abandonment in C2C markets — an uncertainty reduction approach," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 533-552, September.
    8. Erlandsson, Arvid & Björklund, Fredrik & Bäckström, Martin, 2015. "Emotional reactions, perceived impact and perceived responsibility mediate the identifiable victim effect, proportion dominance effect and in-group effect respectively," Organizational Behavior and Human Decision Processes, Elsevier, vol. 127(C), pages 1-14.
    9. Lei, Yong & Liu, Qian & Shum, Stephen, 2017. "Warranty pricing with consumer learning," European Journal of Operational Research, Elsevier, vol. 263(2), pages 596-610.
    10. Karthik Sridhar & Ram Bezawada & Minakshi Trivedi, 2012. "Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets," Marketing Science, INFORMS, vol. 31(4), pages 668-688, July.
    11. Tingting Nian & Arun Sundararajan, 2022. "Social Media Marketing, Quality Signaling, and the Goldilocks Principle," Information Systems Research, INFORMS, vol. 33(2), pages 540-556, June.
    12. Luís Cabral, 2012. "Lock in and switch: Asymmetric information and new product diffusion," Quantitative Marketing and Economics (QME), Springer, vol. 10(3), pages 375-392, September.
    13. Zhang, Qian & Li, Yongjian & Hou, Pengwen & Wang, Jun, 2024. "Price signal or blockchain technology? Quality information disclosure in dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 316(1), pages 126-137.
    14. Feng, Hong & Fu, Qiang & Zhang, Lan, 2020. "How to Launch a New Durable Good: A Signaling Rationale for Hunger Marketing," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    15. Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.

  3. Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.

    Cited by:

    1. Bucklin, Randolph E. & Sismeiro, Catarina, 2009. "Click Here for Internet Insight: Advances in Clickstream Data Analysis in Marketing," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 35-48.
    2. Babur De los Santos & Sergei Koulayev, 2017. "Optimizing Click-Through in Online Rankings with Endogenous Search Refinement," Marketing Science, INFORMS, vol. 36(4), pages 542-564, July.
    3. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.
    4. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
    5. Tongxin Zhou & Lu (Lucy) Yan & Yingfei Wang & Yong Tan, 2022. "Turn Your Online Weight Management from Zero to Hero: A Multidimensional, Continuous-Time Evaluation," Management Science, INFORMS, vol. 68(5), pages 3507-3527, May.
    6. Stefano Carattini & Kenneth Gillingham & Xiangyu Meng & Erez Yoeli, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Natural Field Experiments 00793, The Field Experiments Website.
    7. Melnykov, Volodymyr, 2016. "Model-based biclustering of clickstream data," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 31-45.
    8. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    9. Amy Wenxuan Ding & Shibo Li & Patrali Chatterjee, 2015. "Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation," Information Systems Research, INFORMS, vol. 26(2), pages 339-359, June.
    10. Beth L. Fossen & David A. Schweidel, 2019. "Social TV, Advertising, and Sales: Are Social Shows Good for Advertisers?," Marketing Science, INFORMS, vol. 38(2), pages 274-295, March.
    11. Lesley Chiou & Catherine Tucker, 2017. "Content aggregation by platforms: The case of the news media," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(4), pages 782-805, December.
    12. Lizhen Xu & Jason A. Duan & Andrew Whinston, 2014. "Path to Purchase: A Mutually Exciting Point Process Model for Online Advertising and Conversion," Management Science, INFORMS, vol. 60(6), pages 1392-1412, June.
    13. Goić, Marcel & Jerath, Kinshuk & Kalyanam, Kirthi, 2022. "The roles of multiple channels in predicting website visits and purchases: Engagers versus closers," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 656-677.
    14. Koen Pauwels, 2004. "How Dynamic Consumer Response, Competitor Response, Company Support, and Company Inertia Shape Long-Term Marketing Effectiveness," Marketing Science, INFORMS, vol. 23(4), pages 596-610, June.
    15. Vanhala, Mika & Lu, Chien & Peltonen, Jaakko & Sundqvist, Sanna & Nummenmaa, Jyrki & Järvelin, Kalervo, 2020. "The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research," Journal of Business Research, Elsevier, vol. 106(C), pages 46-59.
    16. Lesley Chiou & Catherine E. Tucker, 2022. "How Do Restrictions on Advertising Affect Consumer Search?," Management Science, INFORMS, vol. 68(2), pages 866-882, February.
    17. Ben Shiller, 2016. "Personalized Price Discrimination Using Big Data," Working Papers 108, Brandeis University, Department of Economics and International Business School.
    18. Sungho Park & Sachin Gupta, 2011. "A Regime-Switching Model of Cyclical Category Buying," Marketing Science, INFORMS, vol. 30(3), pages 469-480, 05-06.
    19. Montgomery, Alan L. & Smith, Michael D., 2009. "Prospects for Personalization on the Internet," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 130-137.
    20. Goh, Khim-Yong & Chu, Junhong & Wu, Jing, 2015. "Mobile Advertising: An Empirical Study of Temporal and Spatial Differences in Search Behavior and Advertising Response," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 34-45.
    21. Sahar Karimi, 2021. "Cross-visiting Behaviour of Online Consumers Across Retailers’ and Comparison Sites, a Macro-Study," Information Systems Frontiers, Springer, vol. 23(3), pages 531-542, June.
    22. 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.
    23. Paramveer S. Dhillon & Sinan Aral, 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach," Marketing Science, INFORMS, vol. 40(6), pages 1059-1080, November.
    24. Felipe Thomaz & Carolina Salge & Elena Karahanna & John Hulland, 2020. "Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 43-63, January.
    25. Sam Hui & Eric Bradlow, 2012. "Bayesian multi-resolution spatial analysis with applications to marketing," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 419-452, December.
    26. Anderl, Eva & Becker, Ingo & von Wangenheim, Florian & Schumann, Jan Hendrik, 2016. "Mapping the customer journey: Lessons learned from graph-based online attribution modeling," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 457-474.
    27. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "Path Data in Marketing: An Integrative Framework and Prospectus for Model Building," Marketing Science, INFORMS, vol. 28(2), pages 320-335, 03-04.
    28. J. Burez & D. Van Den Poel, 2008. "Handling class imbalance in customer churn prediction," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/517, Ghent University, Faculty of Economics and Business Administration.
    29. 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.
    30. Zekun Liu & Dennis J. Zhang & Fuqiang Zhang, 2021. "Information Sharing on Retail Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 606-619, May.
    31. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    32. Steven M. Shugan, 2005. "Brand Loyalty Programs: Are They Shams?," Marketing Science, INFORMS, vol. 24(2), pages 185-193.
    33. Ling‐Jing Kao & Chih‐Chou Chiu & Hung‐Jui Wang & Chang Yu Ko, 2021. "Prediction of remaining time on site for e‐commerce users: A SOM and long short‐term memory study," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1274-1290, November.
    34. Kris J. Ferreira & Sunanda Parthasarathy & Shreyas Sekar, 2022. "Learning to Rank an Assortment of Products," Management Science, INFORMS, vol. 68(3), pages 1828-1848, March.
    35. Alessandro Acquisti & Hal R. Varian, 2002. "Contidioning Prices on Purchase History," Microeconomics 0210001, University Library of Munich, Germany.
    36. 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.
    37. McMullen, Jeffery S. & Ding, Amy Wenxuan & Li, Shibo, 2021. "From cultural entrepreneurship to economic entrepreneurship in cultural industries: The role of digital serialization," Journal of Business Venturing, Elsevier, vol. 36(6).
    38. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    39. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2018. "The effects of mobile promotions on customer purchase dynamics," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 453-470.
    40. Daniel Zeng & Yong Liu & Ping Yan & Yanwu Yang, 2021. "Location-Aware Real-Time Recommender Systems for Brick-and-Mortar Retailers," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1608-1623, October.
    41. Chuan He & Yuxin Chen, 2006. "Research Note—Managing e-Marketplace: A Strategic Analysis of Nonprice Advertising," Marketing Science, INFORMS, vol. 25(2), pages 175-187, 03-04.
    42. J. Burez & D. Van Den Poel, 2005. "CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/348, Ghent University, Faculty of Economics and Business Administration.
    43. John Aloysius & Cary Deck & Amy Farmer, 2012. "A Comparison of Bundling and Sequential Pricing in Competitive Markets: Experimental Evidence," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(1), pages 25-51, February.
    44. Renatas Špicas & Airidas Neifaltas & Rasa Kanapickienė & Greta Keliuotytė-Staniulėnienė & Deimantė Vasiliauskaitė, 2023. "Estimating the Acceptance Probabilities of Consumer Loan Offers in an Online Loan Comparison and Brokerage Platform," Risks, MDPI, vol. 11(7), pages 1-30, July.
    45. Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.
    46. 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.
    47. Grazia Cecere & Fabrice Le Guel & Nicolas Soulié, 2015. "Perceived Internet privacy concerns on social networks in Europe," Grenoble Ecole de Management (Post-Print) hal-02386849, HAL.
    48. Bauer, Hans H. & Falk, Tomas & Hammerschmidt, Maik, 2006. "eTransQual: A transaction process-based approach for capturing service quality in online shopping," Journal of Business Research, Elsevier, vol. 59(7), pages 866-875, July.
    49. Scholz, Michael, 2016. "R Package clickstream: Analyzing Clickstream Data with Markov Chains," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i04).
    50. David A. Schweidel & Eric T. Bradlow & Peter S. Fader, 2011. "Portfolio Dynamics for Customers of a Multiservice Provider," Management Science, INFORMS, vol. 57(3), pages 471-486, March.
    51. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    52. Patrick Mair & Marcus Hudec, 2009. "Multivariate Weibull mixtures with proportional hazard restrictions for dwell‐time‐based session clustering with incomplete data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 619-639, December.
    53. 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.
    54. Verhoef, Peter C. & Venkatesan, Rajkumar & McAlister, Leigh & Malthouse, Edward C. & Krafft, Manfred & Ganesan, Shankar, 2010. "CRM in Data-Rich Multichannel Retailing Environments: A Review and Future Research Directions," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 121-137.
    55. Peter Ebbes & Oded Netzer, 2022. "Using Social Network Activity Data to Identify and Target Job Seekers," Management Science, INFORMS, vol. 68(4), pages 3026-3046, April.
    56. 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.
    57. Shaohui Wu & Yong Tan & Yubo Chen & Yitian (Sky) Liang, 2022. "How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics," Information Systems Research, INFORMS, vol. 33(3), pages 1002-1022, September.
    58. Conti, Chiara & Reverberi, Pierfrancesco, 2021. "Price discrimination and product quality under opt-in privacy regulation," Information Economics and Policy, Elsevier, vol. 55(C).
    59. Pallant, Jason I. & Danaher, Peter J. & Sands, Sean J. & Danaher, Tracey S., 2017. "An empirical analysis of factors that influence retail website visit types," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 62-70.
    60. Benjamin Reed Shiller, 2020. "Approximating Purchase Propensities And Reservation Prices From Broad Consumer Tracking," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 847-870, May.
    61. Bergh, Andreas & Funcke, Alexander & Wernberg, Joakim, 2021. "The Sharing Economy: Definition, Measurement and its Relationship to Capitalism," Working Paper Series 1380, Research Institute of Industrial Economics.
    62. 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.
    63. Kakatkar, Chinmay & Spann, Martin, 2019. "Marketing analytics using anonymized and fragmented tracking data," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 117-136.
    64. Mona Gupta & Happy Mittal & Parag Singla & Amitabha Bagchi, 2017. "Analysis and characterization of comparison shopping behavior in the mobile handset domain," Electronic Commerce Research, Springer, vol. 17(3), pages 521-551, September.
    65. G. Verstraeten & D. Van Den Poel, 2006. "Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/360, Ghent University, Faculty of Economics and Business Administration.
    66. Kai-Lung Hui & I.P.L. Png, 2005. "The Economics of Privacy," Industrial Organization 0505007, University Library of Munich, Germany, revised 29 Aug 2005.
    67. 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.
    68. Annika Baumann & Johannes Haupt & Fabian Gebert & Stefan Lessmann, 2019. "The Price of Privacy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 413-431, August.
    69. Amirali Kani & Wayne S. DeSarbo & Duncan K. H. Fong, 2018. "A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 162-177, December.
    70. Xiaoling Zhang & Shibo Li & Raymond R. Burke, 2018. "Modeling the effects of dynamic group influence on shopper zone choice, purchase conversion, and spending," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1089-1107, November.
    71. Prasad Naik & Michel Wedel & Lynd Bacon & Anand Bodapati & Eric Bradlow & Wagner Kamakura & Jeffrey Kreulen & Peter Lenk & David Madigan & Alan Montgomery, 2008. "Challenges and opportunities in high-dimensional choice data analyses," Marketing Letters, Springer, vol. 19(3), pages 201-213, December.
    72. Yicheng Song & Nachiketa Sahoo & Elie Ofek, 2019. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation," Management Science, INFORMS, vol. 65(8), pages 3737-3757, August.
    73. Moritz Zahn & Stefan Feuerriegel & Niklas Kuehl, 2022. "The Cost of Fairness in AI: Evidence from E-Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 335-348, June.
    74. Amit Bhatnagar & Arun Sen & Atish P. Sinha, 2017. "Providing a Window of Opportunity for Converting eStore Visitors," Information Systems Research, INFORMS, vol. 28(1), pages 22-32, March.
    75. Wolfgang Jank & P. K. Kannan, 2005. "Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice," Marketing Science, INFORMS, vol. 24(4), pages 623-634, December.
    76. Herhausen, Dennis & Kleinlercher, Kristina & Verhoef, Peter C. & Emrich, Oliver & Rudolph, Thomas, 2019. "Loyalty Formation for Different Customer Journey Segments," Journal of Retailing, Elsevier, vol. 95(3), pages 9-29.
    77. 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.
    78. Gui Liberali & Alina Ferecatu, 2022. "Morphing for Consumer Dynamics: Bandits Meet Hidden Markov Models," Marketing Science, INFORMS, vol. 41(4), pages 769-794, July.
    79. Ana Alina Tudoran, 2022. "A machine learning approach to identifying decision-making styles for managing customer relationships," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 351-374, March.
    80. Cathy Cao & Xinyu Cao & Matthew Cashman & Madhav Kumar & Artem Timoshenko & Jeremy Yang & Shuyi Yu & Jerry Zhang & Yuting Zhu & Birger Wernerfelt, 2019. "How do successful scholars get their best research ideas? An exploration," Marketing Letters, Springer, vol. 30(3), pages 221-232, December.
    81. Xu, Xun & Munson, Charles L. & Zeng, Shuo, 2017. "The impact of e-service offerings on the demand of online customers," International Journal of Production Economics, Elsevier, vol. 184(C), pages 231-244.
    82. Sam K. Hui, 2017. "Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach," Quantitative Marketing and Economics (QME), Springer, vol. 15(1), pages 29-55, March.
    83. Garrow, Laurie A. & Hotle, Susan & Mumbower, Stacey, 2012. "Assessment of product debundling trends in the US airline industry: Customer service and public policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 255-268.
    84. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    85. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2010. "Online Demand Under Limited Consumer Search," Marketing Science, INFORMS, vol. 29(6), pages 1001-1023, 11-12.
    86. Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013. "Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior," Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
    87. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
    88. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    89. Prabuddha De & Yu (Jeffrey) Hu & Mohammad S. Rahman, 2010. "Technology Usage and Online Sales: An Empirical Study," Management Science, INFORMS, vol. 56(11), pages 1930-1945, November.
    90. Park, Chang Hee, 2017. "Online Purchase Paths and Conversion Dynamics across Multiple Websites," Journal of Retailing, Elsevier, vol. 93(3), pages 253-265.
    91. Will Ma & David Simchi-Levi & Chung-Piaw Teo, 2021. "On Policies for Single-Leg Revenue Management with Limited Demand Information," Operations Research, INFORMS, vol. 69(1), pages 207-226, January.
    92. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
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