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An Empirical Examination of the Concern for Information Privacy Instrument

Author

Listed:
  • Kathy A. Stewart

    (College of Business Administration, Computer Information Systems Department, Georgia State University, Atlanta, Georgia 30302-4015)

  • Albert H. Segars

    (The Kenan-Flagler Business School, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

Abstract

The arrival of the “information age” holds great promise in terms of providing organizations with access to a wealth of information stores. However, the free exchange of electronic information also brings the threat of providing easy, and many times unwanted, access to personal information. Given the potential backlash of consumers, it is imperative that both researchers and practitioners understand the nature of consumers' concern for information privacy and accurately model the construct within evolving research and business contexts. Drawing upon a sample of 355 consumers and working within the framework of confirmatory factor analysis, this study examines the factor structure of the concern for information privacy (CFIP) instrument posited by Smith et al. (1996). Consistent with prior findings, the results suggest that each dimension of this instrument is reliable and distinct. However, the results also suggest that CFIP may be more parsimoniously represented as a higher-order factor structure rather than a correlated set of first-order factors. The implication of these results is that each dimension of CFIP as well as the supra dimension derived from the associations among dimensions are important in capturing CFIP and associating the construct to other important antecedents and consequences.

Suggested Citation

  • Kathy A. Stewart & Albert H. Segars, 2002. "An Empirical Examination of the Concern for Information Privacy Instrument," Information Systems Research, INFORMS, vol. 13(1), pages 36-49, March.
    • Handle: RePEc:inm:orisre:v:13:y:2002:i:1:p:36-49
    DOI: 10.1287/isre.13.1.36.97
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    References listed on IDEAS

    as
    1. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    2. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    3. Wynne W. Chin & Peter R. Newsted, 1995. "Research Report ---The Importance of Specification in Causal Modeling: The Case of End-User Computing Satisfaction," Information Systems Research, INFORMS, vol. 6(1), pages 73-81, March.
    4. James Steiger & Alexander Shapiro & Michael Browne, 1985. "On the multivariate asymptotic distribution of sequential Chi-square statistics," Psychometrika, Springer;The Psychometric Society, vol. 50(3), pages 253-263, September.
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