IDEAS home Printed from https://ideas.repec.org/r/dpr/wpaper/1023.html
   My bibliography  Save this item

Competitive Personalized Pricing

Citations

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


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. 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.
  3. Stefano Colombo & Clara Graziano & Aldo Pignataro, 2023. "Personalized Pricing with Imperfect Customer Recognition," CESifo Working Paper Series 10455, CESifo.
  4. 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.
  5. 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).
  6. Bruno Jullien & Markus Reisinger & Patrick Rey, 2023. "Personalized Pricing and Distribution Strategies," Management Science, INFORMS, vol. 69(3), pages 1687-1702, March.
  7. 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).
  8. 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.
  9. 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).
  10. Tremblay, Mark J., 2019. "Pareto price discrimination," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
  11. 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.
  12. 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).
  13. 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.
  14. 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.
  15. Andrew Rhodes & Jidong Zhou, 2022. "Personalized Pricing and Competition," Cowles Foundation Discussion Papers 2329, Cowles Foundation for Research in Economics, Yale University.
  16. 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.
  17. 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.
  18. 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.
  19. Antoine Dubus, 2023. "Behavior-Based Algorithmic Pricing," Working Papers hal-03269586, HAL.
  20. 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.
  21. 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.
  22. 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.
  23. Ronen Gradwohl & Moshe Tennenholtz, 2022. "Pareto-Improving Data-Sharing," Papers 2205.11295, arXiv.org.
  24. 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.
  25. Didier Laussel & Joana Resende, 2022. "When Is Product Personalization Profit-Enhancing? A Behavior-Based Discrimination Model," Post-Print hal-03740642, HAL.
  26. 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).
  27. 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.
  28. 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.
  29. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2019. "Exclusive Data, Price Manipulation and Market Leadership," CESifo Working Paper Series 7853, CESifo.
  30. 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.
  31. 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.
  32. Wang, Xiaolei, 2021. "Dynamic Personalized Pricing with Active Consumers," Warwick-Monash Economics Student Papers 08, Warwick Monash Economics Student Papers.
  33. Ronen Gradwohl & Moshe Tennenholtz, 2023. "Selling Data to a Competitor," Papers 2302.00285, arXiv.org.
  34. 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).
  35. 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.
  36. Nakagawa, Akihiko & Matsushima, Noriaki, 2023. "A note on conglomerate mergers: The Google/Fitbit case," Japan and the World Economy, Elsevier, vol. 67(C).
  37. 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).
  38. 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.
  39. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.