INFORMATION PRIVACY RESEARCH: AN INTERDISCIPLINARY REVIEW

被引:0
作者
Smith, H. Jeff [1 ]
Dinev, Tamara [2 ]
Xu, Heng [3 ]
机构
[1] Miami Univ, Dept Decis Sci & Management Informat Syst, Farmer Sch Business, Oxford, OH 45056 USA
[2] Florida Atlantic Univ, Dept Informat Technol & Operat Management, Coll Business, Boca Raton, FL 33431 USA
[3] Penn State Univ, Coll Informat Sci & Technol, University Pk, PA 16802 USA
基金
美国国家科学基金会;
关键词
Information privacy; multi-theory; regulation; society; interdisciplinary; ONLINE PRIVACY; CONSUMER PRIVACY; INTERNET USERS; SELF-REGULATION; PROTECTING PRIVACY; CALCULUS MODEL; SOCIAL ISSUE; E-COMMERCE; TECHNOLOGY; TRUST;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To date, many important threads of information privacy research have developed, but these threads have not been woven together into a cohesive fabric. This paper provides an interdisciplinary review of privacy-related research in order to enable a more cohesive treatment. With a sample of 320 privacy articles and 128 books and book sections, we classify previous literature in two ways: (1) using an ethics-based nomenclature of normative, purely descriptive, and empirically descriptive, and (2) based on their level of analysis: individual, group, organizational, and societal. Based upon our analyses via these two classification approaches, we identify three major areas in which previous research contributions reside: the conceptualization of information privacy, the relationship between information privacy and other constructs, and the contextual nature of these relationships. As we consider these major areas, we draw three overarching conclusions. First, there are many theoretical developments in the body of normative and purely descriptive studies that have not been addressed in empirical research on privacy. Rigorous studies that either trace processes associated with, or test implied assertions from, these value-laden arguments could add great value. Second, some of the levels of analysis have received less attention in certain contexts than have others in the research to date. Future empirical studies-both positivist and interpretive-could profitably be targeted to these under-researched levels of analysis. Third, positivist empirical studies will add the greatest value if they focus on antecedents to privacy concerns and on actual outcomes. In that light, we recommend that researchers be alert to an overarching macro model that we term APCO (Antecedents -> Privacy Concerns -> Outcomes).
引用
收藏
页码:989 / 1015
页数:27
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