IDEAS home Printed from https://ideas.repec.org/f/pbe513.html
   My authors  Follow this author

Ron Berman

Personal Details

First Name:Ron
Middle Name:
Last Name:Berman
Suffix:
RePEc Short-ID:pbe513
[This author has chosen not to make the email address public]
http://www.ron-berman.com

Affiliation

Wharton School of Business
University of Pennsylvania

Philadelphia, Pennsylvania (United States)
http://www.wharton.upenn.edu/
RePEc:edi:wsupaus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ron Berman & Aniko Oery & Xudong Zheng, 2022. "Influence or Advertise: The Role of Social Learning in Influencer Marketing," Working Papers 22-08, NET Institute.
  2. Ron Berman & Xudong Zheng, 2020. "Marketing with Shallow and Prudent Influencers," Working Papers 20-06, NET Institute.
  3. Ron Berman & Yuval Heller, 2020. "Naive analytics equilibrium," Papers 2010.15810, arXiv.org, revised Apr 2021.
  4. Vladimir Pavlov & Ron Berman, 2019. "Price Manipulation in Peer-to-Peer Markets and the Sharing Economy," Working Papers 19-10, NET Institute.
  5. Ron Berman & Zsolt Katona, 2016. "The Impact of Curation Algorithms on Social Network Content Quality and Structure," Working Papers 16-08, NET Institute.
  6. Berman, Ron & Katona, Zsolt, 2010. "The Role of Search Engine Optimization in Search Rankings," MPRA Paper 20129, University Library of Munich, Germany.

Articles

  1. Katherine L. Milkman & Linnea Gandhi & Mitesh S. Patel & Heather N. Graci & Dena M. Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Jake Rothschild & Jonathan E. Bogard & Ilana Brody & Christopher, 2022. "A 680,000-person megastudy of nudges to encourage vaccination in pharmacies," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(6), pages 2115126119-, February.
  2. Katherine L. Milkman & Mitesh S. Patel & Linnea Gandhi & Heather N. Graci & Dena M. Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Modupe Akinola & John Beshears & Jonathan E. Bogard & Alison But, 2021. "A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(20), pages 2101165118-, May.
  3. Elea McDonnell Feit & Ron Berman, 2019. "Test & Roll: Profit-Maximizing A/B Tests," Marketing Science, INFORMS, vol. 38(6), pages 1038-1058, November.
  4. Ron Berman, 2018. "Beyond the Last Touch: Attribution in Online Advertising," Marketing Science, INFORMS, vol. 37(5), pages 771-792, September.
  5. Ron Berman & Zsolt Katona, 2013. "The Role of Search Engine Optimization in Search Marketing," Marketing Science, INFORMS, vol. 32(4), pages 644-651, July.
    RePEc:inm:ormksc:v:39:y:2020:i:2:p:296-316 is not listed on IDEAS

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.

Working papers

  1. Ron Berman & Yuval Heller, 2020. "Naive analytics equilibrium," Papers 2010.15810, arXiv.org, revised Apr 2021.

    Cited by:

    1. Kevin He & Jonathan Libgober, 2021. "Evolutionarily Stable (Mis)specifications:Theory and Applications," PIER Working Paper Archive 21-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Joseph Y. Halpern & Yuval Heller & Eyal Winter, 2022. "The Benefits of Coarse Preferences," Papers 2201.10141, arXiv.org, revised Jun 2023.

  2. Vladimir Pavlov & Ron Berman, 2019. "Price Manipulation in Peer-to-Peer Markets and the Sharing Economy," Working Papers 19-10, NET Institute.

    Cited by:

    1. Shunyuan Zhang & Nitin Mehta & Param Vir Singh & Kannan Srinivasan, 2021. "Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb," Marketing Science, INFORMS, vol. 40(5), pages 813-820, September.
    2. Schlütter, Frank, 2022. "Managing Seller Conduct in Online Marketplaces and Platform Most-Favored Nation Clauses," LIDAM Discussion Papers CORE 2022026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  3. Ron Berman & Zsolt Katona, 2016. "The Impact of Curation Algorithms on Social Network Content Quality and Structure," Working Papers 16-08, NET Institute.

    Cited by:

    1. Nungsari, Melati & Flanders, Sam, 2020. "Using classroom games to teach core concepts in market design, matching theory, and platform theory," International Review of Economics Education, Elsevier, vol. 35(C).

  4. Berman, Ron & Katona, Zsolt, 2010. "The Role of Search Engine Optimization in Search Rankings," MPRA Paper 20129, University Library of Munich, Germany.

    Cited by:

    1. Babur De los Santos & Sergei Koulayev, 2012. "Optimizing Click-through in Online Rankings for Partially Anonymous Consumers," Working Papers 2012-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.

Articles

  1. Katherine L. Milkman & Linnea Gandhi & Mitesh S. Patel & Heather N. Graci & Dena M. Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Jake Rothschild & Jonathan E. Bogard & Ilana Brody & Christopher, 2022. "A 680,000-person megastudy of nudges to encourage vaccination in pharmacies," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(6), pages 2115126119-, February.

    Cited by:

    1. Felix Holzmeister & Magnus Johannesson & Robert Böhm & Anna Dreber & Jürgen Huber & Michael Kirchler, 2023. "Heterogeneity in effect size estimates: Empirical evidence and practical implications," Working Papers 2023-17, Faculty of Economics and Statistics, Universität Innsbruck.
    2. Silvia Angerer & Daniela Glätzle-Rützler & Philipp Lergetporer & Thomas Rittmannsberger, 2022. "How does the vaccine approval procedure affect COVID-19 vaccination intentions?," Munich Papers in Political Economy 20, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    3. Polman, Evan & Ruttan, Rachel L. & Peck, Joann, 2022. "Using curiosity to incentivize the choice of “should” options," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).

  2. Katherine L. Milkman & Mitesh S. Patel & Linnea Gandhi & Heather N. Graci & Dena M. Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Modupe Akinola & John Beshears & Jonathan E. Bogard & Alison But, 2021. "A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(20), pages 2101165118-, May.

    Cited by:

    1. Cornelia Betsch & Philipp Schmid & Pierre Verger & Stephan Lewandowsky & Anna Soveri & Ralph Hertwig & Angelo Fasce & Dawn Holford & Paul Raeve & Arnaud Gagneur & Pia Vuolanto & Tiago Correia & Lara T, 2022. "A call for immediate action to increase COVID-19 vaccination uptake to prepare for the third pandemic winter," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    2. Rowan Terrell & Abdallah Alami & Daniel Krewski, 2023. "Interventions for COVID-19 Vaccine Hesitancy: A Systematic Review and Narrative Synthesis," IJERPH, MDPI, vol. 20(12), pages 1-17, June.
    3. Sasaki, Shusaku & Saito, Tomoya & Ohtake, Fumio, 2022. "Nudges for COVID-19 voluntary vaccination: How to explain peer information?," Social Science & Medicine, Elsevier, vol. 292(C).
    4. Felix Holzmeister & Magnus Johannesson & Robert Böhm & Anna Dreber & Jürgen Huber & Michael Kirchler, 2023. "Heterogeneity in effect size estimates: Empirical evidence and practical implications," Working Papers 2023-17, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Hirani, Jonas Cuzulan & Wüst, Miriam, 2023. "Reminder Design and Childhood Vaccination Coverage," IZA Discussion Papers 15877, Institute of Labor Economics (IZA).
    6. Zhu, Oscar Yuheng & Grün, Bettina & Dolnicar, Sara, 2022. "Tourism and vaccine hesitancy," Annals of Tourism Research, Elsevier, vol. 92(C).
    7. Silvia Angerer & Daniela Glätzle-Rützler & Philipp Lergetporer & Thomas Rittmannsberger, 2022. "How does the vaccine approval procedure affect COVID-19 vaccination intentions?," Munich Papers in Political Economy 20, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    8. Carl Bonander & Mats Ekman & Niklas Jakobsson, 2022. "Vaccination nudges: A study of pre-booked COVID-19 vaccinations in Sweden," Papers 2202.04931, arXiv.org, revised Jul 2022.
    9. de Ridder, Denise & Adriaanse, Marieke & van Gestel, Laurens & Wachner, Jonas, 2023. "How does nudging the COVID-19 vaccine play out in people who are in doubt about vaccination?," Health Policy, Elsevier, vol. 134(C).
    10. Polman, Evan & Ruttan, Rachel L. & Peck, Joann, 2022. "Using curiosity to incentivize the choice of “should” options," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).
    11. Huang, Qian & Gilkey, Melissa B. & Thompson, Peyton & Grabert, Brigid K. & Dailey, Susan Alton & Brewer, Noel T., 2022. "Explaining higher Covid-19 vaccination among some US primary care professionals," Social Science & Medicine, Elsevier, vol. 301(C).
    12. Victor, Vijay & Nair, Aparna M. & Meyer, Daniel Francois, 2023. "Nudges and choice architecture in public policy: A bibliometric analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    13. Calder, Bobby J. & He, Sharlene & Sternthal, Brian, 2023. "Using theoretical frameworks in behavioral research," Journal of Business Research, Elsevier, vol. 161(C).

  3. Elea McDonnell Feit & Ron Berman, 2019. "Test & Roll: Profit-Maximizing A/B Tests," Marketing Science, INFORMS, vol. 38(6), pages 1038-1058, November.

    Cited by:

    1. 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.
    2. Yixin Tang & Yicong Lin & Navdeep S. Sahni, 2023. "Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash," Papers 2311.14698, arXiv.org, revised Nov 2023.

  4. Ron Berman, 2018. "Beyond the Last Touch: Attribution in Online Advertising," Marketing Science, INFORMS, vol. 37(5), pages 771-792, September.

    Cited by:

    1. 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.
    2. Ron Berman & Yuval Heller, 2020. "Naive analytics equilibrium," Papers 2010.15810, arXiv.org, revised Apr 2021.
    3. Jialie Chen & Vithala R. Rao, 2021. "Measuring the Effects of Marketing Solicitations," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(4), pages 111-122, December.
    4. Hana Choi & Carl F. Mela & Santiago R. Balseiro & Adam Leary, 2020. "Online Display Advertising Markets: A Literature Review and Future Directions," Information Systems Research, INFORMS, vol. 31(2), pages 556-575, June.
    5. S{i}la Ada & Nadia Abou Nabout & Elea McDonnell Feit, 2020. "Context information increases revenue in ad auctions: Evidence from a policy change," Papers 2012.00840, arXiv.org.
    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. Joel Barajas & Ram Akella & Marius Holtan & Aaron Flores, 2016. "Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces," Marketing Science, INFORMS, vol. 35(3), pages 465-483, May.
    8. Nan Zhang & Heng Xu, 2024. "Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning," Information Systems Research, INFORMS, vol. 35(2), pages 469-488, June.
    9. Anna D'Annunzio & Antonio Russo, 2017. "Ad Networks and Consumer Tracking," CESifo Working Paper Series 6667, CESifo.
    10. Kaifeng Zhao & Seyed Hanif Mahboobi & Saeed R. Bagheri, 2018. "Shapley Value Methods for Attribution Modeling in Online Advertising," Papers 1804.05327, arXiv.org.
    11. Victor Quintas-Martinez & Mohammad Taha Bahadori & Eduardo Santiago & Jeff Mu & Dominik Janzing & David Heckerman, 2024. "Multiply-Robust Causal Change Attribution," Papers 2404.08839, arXiv.org, revised Sep 2024.
    12. Amin Sayedi, 2018. "Real-Time Bidding in Online Display Advertising," Marketing Science, INFORMS, vol. 37(4), pages 553-568, August.
    13. W. Jason Choi & Amin Sayedi, 2019. "Learning in Online Advertising," Marketing Science, INFORMS, vol. 38(4), pages 584-608, July.
    14. Ryan Dew & Nicolas Padilla & Anya Shchetkina, 2024. "Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models," Papers 2408.07678, arXiv.org.
    15. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    16. Thomas W. Frick & Rodrigo Belo & Rahul Telang, 2023. "Incentive Misalignments in Programmatic Advertising: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 69(3), pages 1665-1686, March.
    17. Stefano Balietti & Brennan Klein & Christoph Riedl, 2021. "Optimal design of experiments to identify latent behavioral types," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 772-799, September.
    18. Masayoshi Mase & Art B. Owen & Benjamin B. Seiler, 2022. "Variable importance without impossible data," Papers 2205.15750, arXiv.org, revised Apr 2023.
    19. Tesary Lin & Sanjog Misra, 2020. "The Identity Fragmentation Bias," Papers 2008.12849, arXiv.org, revised Feb 2021.
    20. Anindya Ghose & Vilma Todri, 2015. "Towards a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior," Working Papers 15-15, NET Institute.
    21. W. Jason Choi & Amin Sayedi, 2023. "Open and Private Exchanges in Display Advertising," Marketing Science, INFORMS, vol. 42(3), pages 451-475, May.
    22. Raghav Singal & Omar Besbes & Antoine Desir & Vineet Goyal & Garud Iyengar, 2022. "Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising," Management Science, INFORMS, vol. 68(10), pages 7457-7479, October.

  5. Ron Berman & Zsolt Katona, 2013. "The Role of Search Engine Optimization in Search Marketing," Marketing Science, INFORMS, vol. 32(4), pages 644-651, July.

    Cited by:

    1. Goldberg, Mitchell & Schär, Fabian, 2023. "Metaverse governance: An empirical analysis of voting within Decentralized Autonomous Organizations," Journal of Business Research, Elsevier, vol. 160(C).
    2. Karol Król & Dariusz Zdonek, 2023. "Cultural Heritage Topics in Online Queries: A Comparison between English- and Polish-Speaking Internet Users," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    3. Ravneet Singh Bhandari & Sanjeev Bansal, 2019. "An Analysis Between Search Engine Optimization Versus Social Media Marketing Affecting Individual Marketer’s Decision--Making Behavior," Jindal Journal of Business Research, , vol. 8(1), pages 78-91, June.
    4. Seung-Hyun Lee & Hee Jin Mun & Kyung Min Park, 2015. "When is dependence on other organizations burdensome? The effect of asymmetric dependence on internet firm failure," Strategic Management Journal, Wiley Blackwell, vol. 36(13), pages 2058-2074, December.
    5. Aswani, Reema & Kar, Arpan Kumar & Ilavarasan, P. Vigneswara & Dwivedi, Yogesh K., 2018. "Search engine marketing is not all gold: Insights from Twitter and SEOClerks," International Journal of Information Management, Elsevier, vol. 38(1), pages 107-116.
    6. Ravneet Singh Bhandari & Ajay Bansal, 2018. "Impact of Search Engine Optimization as a Marketing Tool," Jindal Journal of Business Research, , vol. 7(1), pages 23-36, June.
    7. Krzysztof BORODAKO & Jadwiga BERBEKA & Michał RUDNICKI & Mariusz ŠAPCZYŃSKI, 2021. "Online Visibility and Knowledge-Intensive Business Services Performance: The Scope of Interrelatedness," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 157-173, August.
    8. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 0. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-26.
    9. Martin Reisenbichler & Thomas Reutterer & David A. Schweidel & Daniel Dan, 2022. "Frontiers: Supporting Content Marketing with Natural Language Generation," Marketing Science, INFORMS, vol. 41(3), pages 441-452, May.
    10. Kovalenko Artoym & Kuzmenko Yuliya, 2020. "Online Marketing Impact on Micro-Enterprises: An Insight through Visibility in Search Engines," Management & Marketing, Sciendo, vol. 15(1), pages 38-58, March.
    11. Darius Schlangenotto & Dennis Kundisch & Nancy V. Wünderlich, 2018. "Is paid search overrated? When bricks-and-mortar-only retailers should not use paid search," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 407-421, November.
    12. Chen, Yiwen & Chen, Li & Smith, Robert, 2022. "Linking passion to performance in the social commerce community: The role of collaborative information exchange," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    13. 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.
    14. Erdmann, Anett & Arilla, Ramón & Ponzoa, José M., 2022. "Search engine optimization: The long-term strategy of keyword choice," Journal of Business Research, Elsevier, vol. 144(C), pages 650-662.
    15. 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.
    16. Chen Jin & Luyi Yang & Kartik Hosanagar, 2023. "To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders," Information Systems Research, INFORMS, vol. 34(2), pages 532-552, June.
    17. Amin Sayedi, 2018. "Real-Time Bidding in Online Display Advertising," Marketing Science, INFORMS, vol. 37(4), pages 553-568, August.
    18. W. Jason Choi & Amin Sayedi, 2019. "Learning in Online Advertising," Marketing Science, INFORMS, vol. 38(4), pages 584-608, July.
    19. Patrick Winter & Paul Alpar, 2020. "Effects of search engine advertising on user clicks, conversions, and basket choice," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 837-862, December.
    20. Fei Long & Yunchuan Liu, 2024. "Platform Manipulation in Online Retail Marketplace with Sponsored Advertising," Marketing Science, INFORMS, vol. 43(2), pages 317-345, March.
    21. Valter Afonso Vieira & Marcos Inácio Severo Almeida & Raj Agnihotri & Nôga Simões De Arruda Corrêa Silva & S. Arunachalam, 2019. "In pursuit of an effective B2B digital marketing strategy in an emerging market," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1085-1108, November.
    22. Ologunebi, John & Taiwo, Ebenezer, 2023. "The Importance of SEO and SEM in improving brand visibility in E-commerce industry; A study of Decathlon, Amazon and ASOS," MPRA Paper 119205, University Library of Munich, Germany.
    23. 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.
    24. Nagpal, Mayank & Petersen, J. Andrew, 2021. "Keyword Selection Strategies in Search Engine Optimization: How Relevant is Relevance?," Journal of Retailing, Elsevier, vol. 97(4), pages 746-763.
    25. Margarida V. B. Santos & Isabel Mota & Pedro Campos, 2023. "Analysis of online position auctions for search engine marketing," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 409-425, September.
    26. Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
    27. Thomas Niemand & Sascha Kraus & Sophia Mather & Antonio C. Cuenca-Ballester, 2020. "Multilevel marketing: optimizing marketing effectiveness for high-involvement goods in the automotive industry," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1367-1392, December.
    28. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    29. Gebhardt, Marcel & Gebhardt, Linda, 2019. "Datenbasierte Ansätze der Lead-Generierung," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 36(5), pages 76-82.
    30. Peter Landry, 2021. "Keywords, limited consideration, and organic product listings," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 505-566, December.
    31. Irina Olimpia Susanu & Daniela Damian & Constantin Avram & Robert Rusu, 2019. "A Model for Analyzing the Efficiency of SEO and Adwords Campaigns in the Romanian and American Online Media," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 401-406.
    32. W. Jason Choi & Amin Sayedi, 2023. "Open and Private Exchanges in Display Advertising," Marketing Science, INFORMS, vol. 42(3), pages 451-475, May.
    33. Mohammad Zia & Ram C. Rao, 2019. "Search Advertising: Budget Allocation Across Search Engines," Marketing Science, INFORMS, vol. 38(6), pages 1023-1037, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

List Editorship

This author manages the following RePEc Biblio topics, reading lists or publication compilations:
  1. Online Marketing and Advertising

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-GTH: Game Theory (4) 2019-10-14 2020-10-12 2020-11-16 2020-11-23
  2. NEP-MIC: Microeconomics (3) 2020-10-12 2020-11-16 2022-10-31
  3. NEP-MKT: Marketing (3) 2010-02-13 2016-10-23 2022-10-31
  4. NEP-PAY: Payment Systems and Financial Technology (3) 2019-10-14 2020-10-12 2022-10-31
  5. NEP-COM: Industrial Competition (2) 2019-10-14 2020-11-23
  6. NEP-ORE: Operations Research (2) 2010-02-13 2020-11-23
  7. NEP-ENT: Entrepreneurship (1) 2020-11-23
  8. NEP-ICT: Information and Communication Technologies (1) 2010-02-13
  9. NEP-NET: Network Economics (1) 2016-10-23
  10. NEP-REG: Regulation (1) 2019-10-14

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ron Berman should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.