Investigating social motivations for Internet use
Internet marketing research
Internet Marketing Research: Theory and Practice
Internet Marketing Research: Theory and Practice
Information technology and privacy: a boundary management perspective
Socio-technical and human cognition elements of information systems
Interface design for mobile commerce
Communications of the ACM - Mobile computing opportunities and challenges
International Journal of Human-Computer Studies - Special issue on HCI and MIS
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma
Information Technology and Management
Proceedings of the 6th international conference on Mobile data management
Privacy practices of Internet users: self-reports versus observed behavior
International Journal of Human-Computer Studies - Special isssue: HCI research in privacy and security is critical now
Sharing Service Semantics using SOAP-Based and REST Web Services
IT Professional
Mobile Permission Marketing: Framing the Market Inquiry
International Journal of Electronic Commerce
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
IEEE Transactions on Mobile Computing
Enjoyment intention to use and actual use of a conversational robot by elderly people
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Challenges and business models for mobile location-based services and advertising
Communications of the ACM
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Privacy has been an enduring concern associated with commercial information technology (IT) applications, in particular regarding the issue of personalization. IT-enabled personalization, while potentially making the user computing experience more gratifying, often relies heavily on the user's personal information to deliver individualized services, which raises the user's privacy concerns. We term the tension between personalization and privacy, which follows from marketers exploiting consumers' data to offer personalized product information, the personalization--privacy paradox. To better understand this paradox, we build on the theoretical lenses of uses and gratification theory and information boundary theory to conceptualize the extent to which privacy impacts the process and content gratifications derived from personalization, and how an IT solution can be designed to alleviate privacy concerns. Set in the context of personalized advertising applications for smartphones, we propose and prototype an IT solution, referred to as a personalized, privacy-safe application, that retains users' information locally on their smartphones while still providing them with personalized product messages. We validated this solution through a field experiment by benchmarking it against two more conventional applications: a base nonpersonalized application that broadcasts non-personalized product information to users, and a personalized, nonprivacy safe application that transmits user information to a central marketer's server. The results show that (compared to the non-personalized application), while personalized, privacy-safe or not increased application usage (reflecting process gratification), it was only when it was privacy-safe that users saved product messages (reflecting content gratification) more frequently. Follow-up surveys corroborated these nuanced findings and further revealed the users' psychological states, which explained our field experiment results. We found that saving advertisements for content gratification led to a perceived intrusion of information boundary that made users reluctant to do so. Overall our proposed IT solution, which delivers a personalized service but avoids transmitting users' personal information to third parties, reduces users' perceptions that their information boundaries are being intruded upon, thus mitigating the personalization--privacy paradox and increasing both process and content gratification.