TY - JOUR
T1 - Information privacy and correlates
T2 - An empirical attempt to bridge and distinguish privacyrelated concepts
AU - Dinev, Tamara
AU - Xu, Heng
AU - Smith, Jeff H.
AU - Hart, Paul
N1 - Funding Information:
Heng Xu is an Assistant Professor of Information Sciences and Technology at The Pennsylvania State University where she is a recipient of the endowed PNC Technologies Career Development Professorship. She received her Ph.D. in Information Systems in 2005. She currently directs the Privacy Assurance Lab, an interdisciplinary research group working on a diverse set of projects related to assuring information privacy. Her ongoing research projects deal with the impacts of novel technologies on individuals’ privacy concerns, strategic management of firms’ privacy and security practices, and design and empirical evaluations of privacy-enhancing technologies. Her research has appeared in Decision Support Systems, Information & Management, Journal of Management Information Systems, Journal of the American Society for Information Science and Technology, MIS Quarterly, and in other journals. In 2010, she was a recipient of the Faculty Early Career Development (CAREER) Award by the National Science Foundation.
PY - 2013/5
Y1 - 2013/5
N2 - Privacy is one of the few concepts that has been studied across many disciplines, but is still difficult to grasp. The current understanding of privacy is largely fragmented and discipline-dependent. This study develops and tests a framework of information privacy and its correlates, the latter often being confused with or built into definitions of information privacy per se. Our framework development was based on the privacy theories of Westin and Altman, the economic view of the privacy calculus, and the identity management framework of Zwick and Dholakia. The dependent variable of the model is perceived information privacy. The particularly relevant correlates to information privacy are anonymity, secrecy, confidentiality, and control. We posit that the first three are tactics for information control; perceived information control and perceived risk are salient determinants of perceived information privacy; and perceived risk is a function of perceived benefits of information disclosure, information sensitivity, importance of information transparency, and regulatory expectations. The research model was empirically tested and validated in the Web 2.0 context, using a survey of Web 2.0 users. Our study enhances the theoretical understanding of information privacy and is useful for privacy advocates, and legal, management information systems, marketing, and social science scholars.
AB - Privacy is one of the few concepts that has been studied across many disciplines, but is still difficult to grasp. The current understanding of privacy is largely fragmented and discipline-dependent. This study develops and tests a framework of information privacy and its correlates, the latter often being confused with or built into definitions of information privacy per se. Our framework development was based on the privacy theories of Westin and Altman, the economic view of the privacy calculus, and the identity management framework of Zwick and Dholakia. The dependent variable of the model is perceived information privacy. The particularly relevant correlates to information privacy are anonymity, secrecy, confidentiality, and control. We posit that the first three are tactics for information control; perceived information control and perceived risk are salient determinants of perceived information privacy; and perceived risk is a function of perceived benefits of information disclosure, information sensitivity, importance of information transparency, and regulatory expectations. The research model was empirically tested and validated in the Web 2.0 context, using a survey of Web 2.0 users. Our study enhances the theoretical understanding of information privacy and is useful for privacy advocates, and legal, management information systems, marketing, and social science scholars.
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U2 - 10.1057/ejis.2012.23
DO - 10.1057/ejis.2012.23
M3 - Article
AN - SCOPUS:84876384441
VL - 22
SP - 295
EP - 316
JO - European Journal of Information Systems
JF - European Journal of Information Systems
SN - 0960-085X
IS - 3
ER -