Bargaining over Data: When Does Making the Buyer More Informed Help?
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DOI: 10.1287/isre.2019.0872
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Cited by:- Qiwei Han & Carolina Lucas & Emila Aguiar & Patrícia Macedo & Zhenze Wu, 2023. "Towards privacy-preserving digital marketing: an integrated framework for user modeling using deep learning on a data monetization platform," Electronic Commerce Research, Springer, vol. 23(3), pages 1701-1730, September.
- 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.
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Keywords
Nash bargaining; data monetization; demonstrations; outside option;
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