What's in a “Name”? Impact of Use of Customer Information in E-Mail Advertisements
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DOI: 10.1287/isre.1110.0384
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Cited by:
- Schreiner, Timo & Rese, Alexandra & Baier, Daniel, 2019. "Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 87-99.
- Burtch, Gordon & Ghose, Anindya & Wattal, Sunil, 2015.
"The hidden cost of accommodating crowdfunder privacy preferences: a randomized field experiment,"
Journal of Financial Perspectives, EY Global FS Institute, vol. 3(3), pages 138-154.
- Gordon Burtch & Anindya Ghose & Sunil Wattal, 2015. "The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment," Management Science, INFORMS, vol. 61(5), pages 949-962, May.
- Paul Belleflamme & Wing Man Wynne Lam & Wouter Vergote, 2019.
"Competitive Imperfect Price Discrimination and Market Power,"
CESifo Working Paper Series
7964, CESifo.
- Belleflamme, Paul & Lam, Wing Man Wynne & Vergote, Wouter, 2020. "Competitive Imperfect Price Discrimination and Market Power," LIDAM Reprints CORE 3130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Li, T., 2018. "Digital Traces: Personalization and Privacy," ERIM Inaugural Address Series Research in Management 108848, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
- Ben C. F. Choi & Zhenhui (Jack) Jiang & Bo Xiao & Sung S. Kim, 2015. "Embarrassing Exposures in Online Social Networks: An Integrated Perspective of Privacy Invasion and Relationship Bonding," Information Systems Research, INFORMS, vol. 26(4), pages 675-694, December.
- Nathan M. Fong, 2017. "How Targeting Affects Customer Search: A Field Experiment," Management Science, INFORMS, vol. 63(7), pages 2353-2364, July.
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Keywords
personalization; privacy; information use; hierarchical Bayesian model;All these keywords.
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