IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v20y2001i1p23-41.html
   My bibliography  Save this item

Individual Marketing with Imperfect Targetability

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
  2. Julian Villanueva & Pradeep Bhardwaj & Sridhar Balasubramanian & Yuxin Chen, 2007. "Customer relationship management in competitive environments: The positive implications of a short-term focus," Quantitative Marketing and Economics (QME), Springer, vol. 5(2), pages 99-129, June.
  3. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
  4. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
  5. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," PSE Working Papers hal-01226250, HAL.
  6. Ganesh Iyer & T. Tony Ke, 2022. "Competitive Algorithmic Targeting and Model Selection," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
  7. Zhang, Shuguang & Dan, Bin & Zhou, Maosen, 2019. "After-sale service deployment and information sharing in a supply chain under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 279(2), pages 351-363.
  8. Baye, Irina & Sapi, Geza, 2014. "Targeted pricing, consumer myopia and investment in customer-tracking technology," DICE Discussion Papers 131, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  9. Kai-Lung Hui & I.P.L. Png, 2005. "The Economics of Privacy," Industrial Organization 0505007, University Library of Munich, Germany, revised 29 Aug 2005.
  10. Sumit Shrivastav, 2023. "Profitability of behavior-based price discrimination," Marketing Letters, Springer, vol. 34(4), pages 535-547, December.
  11. Il-Horn Hann & Kai-Lung Hui & Sang-Yong Tom Lee & Ivan P.L. Png, 2005. "Sales and Promotions: A More General Model," Industrial Organization 0508014, University Library of Munich, Germany.
  12. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
  13. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
  14. Jiwoong Shin & Woochoel Shin, 2023. "A Theory of Irrelevant Advertising: An Agency-Induced Targeting Inefficiency," Management Science, INFORMS, vol. 69(8), pages 4481-4497, August.
  15. Stefano Colombo & Aldo Pignataro, 2022. "Information accuracy and collusion," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 638-656, August.
  16. Esteves, Rosa-Branca, 2022. "Can personalized pricing be a winning strategy in oligopolistic markets with heterogeneous demand customers? Yes, it can," International Journal of Industrial Organization, Elsevier, vol. 85(C).
  17. Romain de Nijs, 2015. "Behavior-based price discrimination and customer information sharing," Working Papers hal-01226250, HAL.
  18. Esteves, Rosa-Branca, 2014. "Behavior-based price discrimination with retention offers," Information Economics and Policy, Elsevier, vol. 27(C), pages 39-51.
  19. Miettinen, Topi & Stenbacka, Rune, 2015. "Personalized pricing versus history-based pricing: implications for privacy policy," Information Economics and Policy, Elsevier, vol. 33(C), pages 56-68.
  20. Cai, Gangshu (George) & Chen, Ying-Ju, 2011. "In-Store Referrals on the Internet," Journal of Retailing, Elsevier, vol. 87(4), pages 563-578.
  21. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.
  22. Choe, Chongwoo & Matsushima, Noriaki & Tremblay, Mark J., 2022. "Behavior-based personalized pricing: When firms can share customer information," International Journal of Industrial Organization, Elsevier, vol. 82(C).
  23. Chen, Yuxin & Zhang, Z. John, 2009. "Dynamic targeted pricing with strategic consumers," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 43-50, January.
  24. Xu Guan & Ying‐Ju Chen, 2016. "Timing of information acquisition in a competitive environment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(1), pages 3-22, February.
  25. Hui Feng & Neil A. Morgan & Lopo L. Rego, 2020. "The impact of unprofitable customer management strategies on shareholder value," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 246-269, March.
  26. Kilsun Kim & Dilip Chhajed & Yunchuan Liu, 2013. "Can Commonality Relieve Cannibalization in Product Line Design?," Marketing Science, INFORMS, vol. 32(3), pages 510-521, May.
  27. Tulabandhula, Theja & Ouksel, Aris M. & Nguyen, Son The, 2023. "Impact of customer loyalty and differing firm costs on price discrimination in an infinite horizon setting," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 344-377.
  28. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
  29. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  30. Il-Horn Hann & Kai-Lung Hui & Sang-Yong T. Lee & Ivan P. L. Png, 2008. "Consumer Privacy and Marketing Avoidance: A Static Model," Management Science, INFORMS, vol. 54(6), pages 1094-1103, June.
  31. Bharat Anand & Ron Shachar, 2009. "Targeted advertising as a signal," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 237-266, September.
  32. Rodrigo Montes & Wilfried Sand-Zantman & Tommaso Valletti, 2019. "The Value of Personal Information in Online Markets with Endogenous Privacy," Management Science, INFORMS, vol. 65(3), pages 1342-1362, March.
  33. Nico Neumann & Catherine E. Tucker & Timothy Whitfield, 2019. "Frontiers: How Effective Is Third-Party Consumer Profiling? Evidence from Field Studies," Marketing Science, INFORMS, vol. 38(6), pages 918-926, November.
  34. Luo, Meiling & Li, Gang & Chen, Xudong, 2021. "Competitive location-based mobile coupon targeting strategy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  35. Ganesh Iyer & Chakravarthi Narasimhan & Rakesh Niraj, 2007. "Information and Inventory in Distribution Channels," Management Science, INFORMS, vol. 53(10), pages 1551-1561, October.
  36. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
  37. Chen, Bintong & Chen, Jing, 2017. "Compete in Price or Service?—A Study of Personalized Pricing and Money Back Guarantees," Journal of Retailing, Elsevier, vol. 93(2), pages 154-171.
  38. Zsolt Katona, 2015. "Democracy in product design: Consumer participation and differentiation strategies," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 359-394, December.
  39. 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.
  40. Chongwoo Choe & Jiajia Cong & Chengsi Wang, 2024. "Softening Competition Through Unilateral Sharing of Customer Data," Management Science, INFORMS, vol. 70(1), pages 526-543, January.
  41. Su, Meng & Zheng, Xiaona & Sun, Luping, 2014. "Coupon Trading and its Impacts on Consumer Purchase and Firm Profits," Journal of Retailing, Elsevier, vol. 90(1), pages 40-61.
  42. Steven M. Shugan, 2002. "In Search of Data: An Editorial," Marketing Science, INFORMS, vol. 21(4), pages 369-377.
  43. Liu, Qihong & Serfes, Konstantinos, 2006. "Customer information sharing among rival firms," European Economic Review, Elsevier, vol. 50(6), pages 1571-1600, August.
  44. Yuxin Chen & K. Sudhir, 2004. "When Shopbots Meet Emails: Implications for Price Competition on the Internet," Quantitative Marketing and Economics (QME), Springer, vol. 2(3), pages 233-255, September.
  45. Brett Gordon & Mitchell Lovett & Ron Shachar & Kevin Arceneaux & Sridhar Moorthy & Michael Peress & Akshay Rao & Subrata Sen & David Soberman & Oleg Urminsky, 2012. "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, Springer, vol. 23(2), pages 391-403, June.
  46. 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.
  47. David Soberman, 2005. "Questioning Conventional Wisdom About Competition in Differentiated Markets," Quantitative Marketing and Economics (QME), Springer, vol. 3(1), pages 41-70, January.
  48. Wang, Wei & Li, Gang & Fung, Richard Y.K. & Cheng, T.C.E., 2019. "Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 84-101.
  49. David Besanko & Jean-Pierre Dubé & Sachin Gupta, 2003. "Competitive Price Discrimination Strategies in a Vertical Channel Using Aggregate Retail Data," Management Science, INFORMS, vol. 49(9), pages 1121-1138, September.
  50. Ki-Eun Rhee & Raphael Thomadsen, 2017. "Behavior-Based Pricing in Vertically Differentiated Industries," Management Science, INFORMS, vol. 63(8), pages 2729-2740, August.
  51. Tommaso Valletti & Jiahua Wu, 2020. "Consumer Profiling with Data Requirements: Structure and Policy Implications," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 309-329, February.
  52. Fay, Scott & Mitra, Deb & Wang, Qiong, 2009. "Ask or infer? Strategic implications of alternative learning approaches in customization," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 136-152.
  53. Laussel, Didier & Long, Ngo Van & Resende, Joana, 2020. "Quality and price personalization under customer recognition: A dynamic monopoly model with contrasting equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
  54. Scott Fay & Jinhong Xie, 2008. "Probabilistic Goods: A Creative Way of Selling Products and Services," Marketing Science, INFORMS, vol. 27(4), pages 674-690, 07-08.
  55. Kaifu Zhang & Zsolt Katona, 2012. "Contextual Advertising," Marketing Science, INFORMS, vol. 31(6), pages 980-994, November.
  56. Kocas, Cenk & Kiyak, Tunga, 2006. "Theory and evidence on pricing by asymmetric oligopolies," International Journal of Industrial Organization, Elsevier, vol. 24(1), pages 83-105, January.
  57. Arnold, René & Marcus, J. Scott & Petropoulos, Georgios & Schneider, Anna, 2018. "Is data the new oil? Diminishing returns to scale," 29th European Regional ITS Conference, Trento 2018 184927, International Telecommunications Society (ITS).
  58. Soo-Haeng Cho & Victor DeMiguel & Woonam Hwang, 2021. "Cover-Up of Vehicle Defects: The Role of Regulator Investigation Announcements," Management Science, INFORMS, vol. 67(6), pages 3834-3852, June.
  59. Sumit Shrivastav, 2021. "Price discrimination with imperfect consumer recognition," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-017, Indira Gandhi Institute of Development Research, Mumbai, India.
  60. Zheyin (Jane) Gu & Xinxin Li, 2023. "Social Sharing, Public Perception, and Brand Competition in a Horizontally Differentiated Market," Information Systems Research, INFORMS, vol. 34(2), pages 553-569, June.
  61. Esther Gal-Or & Mordechai Gal-Or, 2005. "Customized Advertising via a Common Media Distributor," Marketing Science, INFORMS, vol. 24(2), pages 241-253, July.
  62. Yang Li & Brett R. Gordon & Oded Netzer, 2018. "An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition," Marketing Science, INFORMS, vol. 37(5), pages 812-837, September.
  63. Xi Li & Zibin Xu, 2022. "Superior Knowledge, Price Discrimination, and Customer Inspection," Marketing Science, INFORMS, vol. 41(6), pages 1097-1117, November.
  64. Morten Hviid & Greg Shaffer, 2012. "Optimal low-price guarantees with anchoring," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 393-417, December.
  65. Feng, Bo & Mao, Zhaofang & Li, Hui, 2021. "Choices for competing service providers with heterogeneous customers: Traditional versus opaque sales modes," Omega, Elsevier, vol. 98(C).
  66. Yan Ma & Susu Cheng, 2023. "Channel coordination in a closed‐loop supply chain with fairness concerns under further extended producer responsibility," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 876-891, March.
  67. Shor, Mikhael & Oliver, Richard L., 2006. "Price discrimination through online couponing: Impact on likelihood of purchase and profitability," Journal of Economic Psychology, Elsevier, vol. 27(3), pages 423-440, June.
  68. Nanda Kumar & Ram Rao, 2006. "Research Note—Using Basket Composition Data for Intelligent Supermarket Pricing," Marketing Science, INFORMS, vol. 25(2), pages 188-199, 03-04.
  69. Avi Goldfarb & Catherine Tucker, 2011. "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, INFORMS, vol. 30(3), pages 389-404, 05-06.
  70. Stylianos Despotakis & Jungju Yu, 2023. "Multidimensional Targeting and Consumer Response," Management Science, INFORMS, vol. 69(8), pages 4518-4540, August.
  71. Neil Bendle & Andrew Perkins, 2020. "Stereotyping and Marketing: Out-Group Homogeneity Bias and Entry to Competitive Markets," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(1), pages 1-11, June.
  72. Fay, Scott & Xie, Jinhong & Feng, Cong, 2015. "The Effect of Probabilistic Selling on the Optimal Product Mix," Journal of Retailing, Elsevier, vol. 91(3), pages 451-467.
  73. Galeotti, Andrea & Moraga-González, José Luis, 2008. "Segmentation, advertising and prices," International Journal of Industrial Organization, Elsevier, vol. 26(5), pages 1106-1119, September.
  74. Sunil Wattal & Rahul Telang & Tridas Mukhopadhyay & Peter Boatwright, 2012. "What's in a “Name”? Impact of Use of Customer Information in E-Mail Advertisements," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 679-697, September.
  75. Sumitro Banerjee & Alex P. Thevaranjan, 2019. "Targeting and salesforce compensation: When sales spill over to unprofitable customers," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 81-104, March.
  76. Chongwoo Choe & Noriaki Matsushima & Mark J. Tremblay, 2020. "Behavior-Based Personalized Pricing: When Firms Can Share Customer Information," ISER Discussion Paper 1083, Institute of Social and Economic Research, Osaka University.
  77. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
  78. Amin Sayedi, 2018. "Real-Time Bidding in Online Display Advertising," Marketing Science, INFORMS, vol. 37(4), pages 553-568, August.
  79. Andrés Musalem & Yogesh V. Joshi, 2009. "—How Much Should You Invest in Each Customer Relationship? A Competitive Strategic Approach," Marketing Science, INFORMS, vol. 28(3), pages 555-565, 05-06.
  80. Sumitro Banerjee & Alex P. Thevaranjan, 2013. "How to deal with unprofitable customers? A salesforce compensation perspective," ESMT Research Working Papers ESMT-13-05, ESMT European School of Management and Technology.
  81. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
  82. Yunchuan Liu & Z. John Zhang, 2006. "Research Note—The Benefits of Personalized Pricing in a Channel," Marketing Science, INFORMS, vol. 25(1), pages 97-105, 01-02.
  83. Kutsal Dogan & Ernan Haruvy & Ram Rao, 2010. "Who should practice price discrimination using rebates in an asymmetric duopoly?," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 61-90, March.
  84. Wayne Taylor & Brett Hollenbeck, 2021. "Leveraging loyalty programs using competitor based targeting," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 417-455, December.
  85. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
  86. Esteves, Rosa-Branca & Cerqueira, Sofia, 2017. "Behavior-based pricing under imperfectly informed consumers," Information Economics and Policy, Elsevier, vol. 40(C), pages 60-70.
  87. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2021. "History-Based Price Discrimination with Imperfect Information Accuracy and Asymmetric Market Shares," CESifo Working Paper Series 9049, CESifo.
  88. Il-Horn Hann & Kai-Lung Hui & Sang-Yong Tom Lee & Ivan Png, 2005. "Consumer Privacy and Marketing Avoidance," Industrial Organization 0503009, University Library of Munich, Germany.
  89. Song Lin, 2017. "Add-on Policies Under Vertical Differentiation: Why Do Luxury Hotels Charge for Internet While Economy Hotels Do Not?," Marketing Science, INFORMS, vol. 36(4), pages 610-625, July.
  90. John Aloysius & Cary Deck & Amy Farmer, 2013. "Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies," Information Systems Research, INFORMS, vol. 24(2), pages 372-393, June.
  91. Pedro M. Gardete, 2016. "Competing Under Asymmetric Information: The Case of Dynamic Random Access Memory Manufacturing," Management Science, INFORMS, vol. 62(11), pages 3291-3309, November.
  92. Ke-Wei Huang, 2009. "Optimal criteria for selecting price discrimination metrics when buyers have log-normally distributed willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 321-341, September.
  93. Ham, Sung H. & He, Chuan & Zhang, Dan, 2022. "The promise and peril of dynamic targeted pricing," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1150-1165.
  94. Wen, Zhong, 2014. "Mixed pricing in oligopoly with limited monopoly," Economics Letters, Elsevier, vol. 125(1), pages 87-92.
  95. Shy, Oz & Stenbacka, Rune, 2013. "Investment in customer recognition and information exchange," Information Economics and Policy, Elsevier, vol. 25(2), pages 92-106.
  96. Nico Neumann & Catherine E. Tucker & Kumar Subramanyam & John Marshall, 2023. "Is first- or third-party audience data more effective for reaching the ‘right’ customers? The case of IT decision-makers," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 519-571, December.
  97. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
  98. Zhenling Jiang & Tat Chan & Hai Che & Youwei Wang, 2021. "Consumer Search and Purchase: An Empirical Investigation of Retargeting Based on Consumer Online Behaviors," Marketing Science, INFORMS, vol. 40(2), pages 219-240, March.
  99. Zhao Jiang & Dan Wu, 2022. "Targeting Precision in Imperfect Targeted Advertising: Implications for the Regulation of Market Structure and Efficiency," SAGE Open, , vol. 12(1), pages 21582440221, March.
  100. Jeffrey D. Shulman & Xianjun Geng, 2013. "Add-on Pricing by Asymmetric Firms," Management Science, INFORMS, vol. 59(4), pages 899-917, April.
  101. Villanueva, Julian & Bhardwaj, Pradeep & Chen, Yuxin & Balasubramanian, Sridhar, 2004. "Managing customer relationships: Should managers really focus on the long term?," IESE Research Papers D/560, IESE Business School.
  102. De Nijs, Romain, 2017. "Behavior-based price discrimination and customer information sharing," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 319-334.
  103. Sridhar Moorthy & Yongmin Chen & Shervin Shahrokhi Tehrani, 2018. "Selling Your Product Through Competitors’ Outlets: Channel Strategy When Consumers Comparison Shop," Marketing Science, INFORMS, vol. 37(1), pages 138-152, January.
  104. Esther Gal-Or & Mordechai Gal-Or & Jerrold H. May & William E. Spangler, 2006. "Targeted Advertising Strategies on Television," Management Science, INFORMS, vol. 52(5), pages 713-725, May.
  105. Yuxin Chen & Jinhong Xie, 2007. "Cross-Market Network Effect with Asymmetric Customer Loyalty: Implications for Competitive Advantage," Marketing Science, INFORMS, vol. 26(1), pages 52-66, 01-02.
  106. Yue Shen & Weijun Zhong & Shue Mei, 2023. "Advertising strategies of competing firms considering consumer privacy concerns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2424-2437, June.
  107. Goker Aydin & Serhan Ziya, 2009. "Technical Note---Personalized Dynamic Pricing of Limited Inventories," Operations Research, INFORMS, vol. 57(6), pages 1523-1531, December.
  108. Amit Mehra & Ram Bala & Ramesh Sankaranarayanan, 2012. "Competitive Behavior-Based Price Discrimination for Software Upgrades," Information Systems Research, INFORMS, vol. 23(1), pages 60-74, March.
  109. Zemin (Zachary) Zhong, 2023. "Platform Search Design: The Roles of Precision and Price," Marketing Science, INFORMS, vol. 42(2), pages 293-313, March.
  110. Ye Qiu & Ram C. Rao, 2020. "Increasing Retailer Loyalty Through the Use of Cash Back Rebate Sites," Marketing Science, INFORMS, vol. 39(4), pages 743-762, July.
  111. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
  112. Rakesh Niraj & Chakravarthi Narasimhan, 2017. "Examining Incentives to Share Demand Information with your Channel Partner," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 961-980, July.
  113. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  114. Seung Hyun Kim & Tridas Mukhopadhyay, 2011. "Determining Optimal CRM Implementation Strategies," Information Systems Research, INFORMS, vol. 22(3), pages 624-639, September.
  115. Kusum Ailawadi & Eric Bradlow & Michaela Draganska & Vincent Nijs & Robert Rooderkerk & K. Sudhir & Kenneth Wilbur & Jie Zhang, 2010. "Empirical models of manufacturer-retailer interaction: A review and agenda for future research," Marketing Letters, Springer, vol. 21(3), pages 273-285, September.
  116. 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.
  117. Jiwoong Shin & Jungju Yu, 2021. "Targeted Advertising and Consumer Inference," Marketing Science, INFORMS, vol. 40(5), pages 900-922, September.
  118. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
  119. Lin, Yuanfang & Pazgal, Amit & Soberman, David A., 2021. "Who is the winner in an industry of innovation?," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 50-69.
  120. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
  121. Tommaso Bondi & Omid Rafieian, 2023. "Privacy and Polarization: An Inference-Based Approach," Working Papers 23-09, NET Institute.
  122. Zsolt Katona, 2015. "Democracy in product design: Consumer participation and differentiation strategies," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 359-394, December.
  123. Zsolt Katona, 2013. "Competing for Influencers in a Social Network," Working Papers 13-06, NET Institute.
  124. Ron Borzekowski & Raphael Thomadsen & Charles Taragin, 2009. "Competition and price discrimination in the market for mailing lists," Quantitative Marketing and Economics (QME), Springer, vol. 7(2), pages 147-179, June.
  125. Wensheng Yang & Yinyuan Si & Jinxing Zhang & Sen Liu & Andrea Appolloni, 2021. "Coordination Mechanism of Dual-Channel Supply Chains Considering Retailer Innovation Inputs," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
  126. Fay, Scott, 2008. "Selling an opaque product through an intermediary: The case of disguising one's product," Journal of Retailing, Elsevier, vol. 84(1), pages 59-75.
  127. Jeffrey D. Shulman, 2014. "Product Diversion to a Direct Competitor," Marketing Science, INFORMS, vol. 33(3), pages 422-436, May.
  128. Yi Xiang & Miklos Sarvary, 2013. "Buying and selling information under competition," Quantitative Marketing and Economics (QME), Springer, vol. 11(3), pages 321-351, September.
  129. Niladri B. Syam & Nanda Kumar, 2006. "On Customized Goods, Standard Goods, and Competition," Marketing Science, INFORMS, vol. 25(5), pages 525-537, September.
  130. 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.
  131. Peter Landry, 2021. "Keywords, limited consideration, and organic product listings," Quantitative Marketing and Economics (QME), Springer, vol. 19(3), pages 505-566, December.
  132. Zhang, Jianqiang & He, Xiuli, 2019. "Targeted advertising by asymmetric firms," Omega, Elsevier, vol. 89(C), pages 136-150.
  133. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
  134. 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.
  135. Koray Cosguner & Tat Y. Chan & P. B. (Seethu) Seetharaman, 2017. "Behavioral Price Discrimination in the Presence of Switching Costs," Marketing Science, INFORMS, vol. 36(3), pages 426-435, May.
  136. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
  137. Harutyunyan, Mushegh & Jiang, Baojun, 2017. "Strategic Implications of Keeping Product Value Secret from Competitor’s Customers," Journal of Retailing, Elsevier, vol. 93(3), pages 382-399.
  138. Esteves, Rosa-Branca & Carballo-Cruz, Francisco, 2023. "Can data openness unlock competition when an incumbent has exclusive data access for personalized pricing?," Information Economics and Policy, Elsevier, vol. 64(C).
  139. Michael D Wittman & Peter P Belobaba, 2017. "Dynamic availability of fare products with knowledge of customer characteristics," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(2), pages 201-217, April.
  140. Theja Tulabandhula & Aris Ouksel & Son Nguyen, 2021. "Price Discrimination in the Presence of Customer Loyalty and Differing Firm Costs," Papers 2102.09620, arXiv.org, revised Jan 2022.
  141. Stefano Colombo, 2018. "Behavior‐ and characteristic‐based price discrimination," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(2), pages 237-250, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.