Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Building consumer trust online
Communications of the ACM
Discovering Statistics Using SPSS for Windows: Advanced Techniques for Beginners
Discovering Statistics Using SPSS for Windows: Advanced Techniques for Beginners
Consumer trust in an Internet store
Information Technology and Management
Information technology and privacy: a boundary management perspective
Socio-technical and human cognition elements of information systems
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information Systems Research
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
An Extended Privacy Calculus Model for E-Commerce Transactions
Information Systems Research
Research Commentary---The Digital Transformation of Healthcare: Current Status and the Road Ahead
Information Systems Research
Network Effects in Health Information Exchange Growth
ACM Transactions on Management Information Systems (TMIS)
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As healthcare becomes increasingly digitized, the promise of improved care enabled by technological advances inevitably must be traded off against any unintended negative consequences. There is little else that is as consequential to an individual as his or her health. In this context, the privacy of one's personal health information has escalated as a matter of significant concern for the public. We pose the question: under what circumstances will individuals be willing to disclose identified personal health information and permit it to be digitized? Using privacy boundary theory and recent developments in the literature related to risk-as-feelings as the core conceptual foundation, we propose and test a model explicating the role played by type of information requested (general health, mental health, genetic), the purpose for which it is to be used (patient care, research, marketing), and the requesting stakeholder (doctors/hospitals, the government, pharmaceutical companies) in an individual's willingness to disclose personal health information. Furthermore, we explore the impact of emotion linked to one's health condition on willingness to disclose. Results from a nationally representative sample of over 1,000 adults underscore the complexity of the health information disclosure decision and show that emotion plays a significant role, highlighting the need for re-examining the timing of consent. Theoretically, the study extends the dominant cognitive-consequentialist approach to privacy by incorporating the role of emotion. It further refines the privacy calculus to incorporate the moderating influence of contextual factors salient in the healthcare setting. The practical implications of this study include an improved understanding of consumer concerns and potential impacts regarding the electronic storage of health information that can be used to craft policy.