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Competitive Personalized Pricing

Citations

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Cited by:

  1. Wang, Yu & Li, Minqiang & Feng, Haiyang & Feng, Nan, 2023. "Which is better for competing firms with quality increasing: behavior-based price discrimination or uniform pricing?," Omega, Elsevier, vol. 118(C).
  2. 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.
  3. Garella, Paolo G. & Laussel, Didier & Resende, Joana, 2021. "Behavior based price personalization under vertical product differentiation," International Journal of Industrial Organization, Elsevier, vol. 76(C).
  4. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
  5. Qiu, Ruozhen & Sun, Yue & Zhou, Hongcheng & Sun, Minghe, 2023. "Dynamic pricing and quick response of a retailer in the presence of strategic consumers: A distributionally robust optimization approach," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1270-1298.
  6. Chen Chen & Yongrui Duan & Guiping Li, 2022. "Adoption of personalized pricing in a supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2715-2728, October.
  7. Simon Anderson & Alicia Baik & Nathan Larson, 2023. "Price Discrimination in the Information Age: Prices, Poaching, and Privacy with Personalized Targeted Discounts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2085-2115.
  8. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
  9. 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.
  10. 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.
  11. Wang, Xiaolei, 2021. "Dynamic Personalized Pricing with Active Consumers," Warwick-Monash Economics Student Papers 08, Warwick Monash Economics Student Papers.
  12. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor," Papers 2302.00285, arXiv.org.
  13. 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).
  14. Ding, Long & Liu, Peng & Hu, Sen, 2023. "Geo-Fencing or Geo-Conquesting? a strategic analysis of Location-Based coupon under different market structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
  15. Bruno Jullien & Markus Reisinger & Patrick Rey, 2023. "Personalized Pricing and Distribution Strategies," Management Science, INFORMS, vol. 69(3), pages 1687-1702, March.
  16. Geng Sun & Huseyin Cavusoglu & Srinivasan Raghunathan, 2022. "Value of membership‐based free shipping in online retailing: Impact of upstream pricing model," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4131-4153, November.
  17. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
  18. 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).
  19. Tremblay, Mark J., 2019. "Pareto price discrimination," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
  20. Ratul Das Chaudhury & Chongwoo Choe, 2023. "Digital Privacy: GDPR and Its Lessons for Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(2), pages 204-220, June.
  21. Noriaki Matsushima & Tomomichi Mizuno & Cong Pan, 2023. "Personalized pricing with heterogeneous mismatch costs," Southern Economic Journal, John Wiley & Sons, vol. 90(2), pages 369-388, October.
  22. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2022. "Data‐driven mergers and personalization," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 3-31, March.
  23. Nakagawa, Akihiko & Matsushima, Noriaki, 2023. "A note on conglomerate mergers: The Google/Fitbit case," Japan and the World Economy, Elsevier, vol. 67(C).
  24. Du, Shaofu & Sheng, Jianchao & Peng, Jing & Zhu, Yangguang, 2022. "Competitive implications of personalized pricing with a dominant retailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  25. Jalali, Hamed & Van den Broeke, Maud & Van Nieuwenhuyse, Inneke, 2022. "Platform and product design for markets with quality and feature sensitive customers," International Journal of Production Economics, Elsevier, vol. 244(C).
  26. Peter‐J. Jost & Anna Ressi, 2022. "What can I do for you? Optimal market segmentation in service markets," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2838-2852, July.
  27. Andrew Rhodes & Jidong Zhou, 2022. "Personalized Pricing and Competition," Cowles Foundation Discussion Papers 2329, Cowles Foundation for Research in Economics, Yale University.
  28. Marta Rocha & Thomas Greve, 2021. "Contracting in a Market with Differential Information," Journal of Industry, Competition and Trade, Springer, vol. 21(2), pages 193-210, June.
  29. Akio Kawasaki, 2020. "Airport pricing strategy by hub airports: does the number of local airports matter?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(3), pages 835-857, October.
  30. Antoine Dubus, 2023. "Behavior-Based Algorithmic Pricing," Working Papers hal-03269586, HAL.
  31. Shuaicheng Liu, 2023. "Location choice with asymmetric data in the Hotelling model," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(4), pages 855-878, December.
  32. Zhijun Chen & pch346 & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2020. "Data-Driven Mergers and Personalization," Monash Economics Working Papers 16-20, Monash University, Department of Economics.
  33. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Management Science, INFORMS, vol. 68(12), pages 8872-8888, December.
  34. Qiuyu Lu & Noriaki Matsushima, 2023. "Personalized pricing when consumers can purchase multiple items," ISER Discussion Paper 1192, Institute of Social and Economic Research, Osaka University.
  35. Ronen Gradwohl & Moshe Tennenholtz, 2022. "Pareto-Improving Data-Sharing," Papers 2205.11295, arXiv.org.
  36. Rosa-Branca Esteves, 2021. "Can personalized pricing be a winning strategy in oligopolistic markets with heterogeneous demand customers? Yes, it can," NIPE Working Papers 08/2021, NIPE - Universidade do Minho.
  37. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Post-Print hal-03740642, HAL.
  38. Clavorà Braulin, Francesco, 2023. "The effects of personal information on competition: Consumer privacy and partial price discrimination," International Journal of Industrial Organization, Elsevier, vol. 87(C).
  39. Dubus, Antoine, 2024. "Behavior-based algorithmic pricing," Information Economics and Policy, Elsevier, vol. 66(C).
  40. Zhang, Zhiming & Ren, Da & Lan, Yanfei & Yang, Shanxue, 2022. "Price competition and blockchain adoption in retailing markets," European Journal of Operational Research, Elsevier, vol. 300(2), pages 647-660.
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