Author List: Stewart, Kathy A.; Segars, Albert H.;
Information Systems Research, 2002, Volume 13, Issue 1, Page 36-49.
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.
Keywords: Confirmatory Factor Analysis; Ethical Issues; Privacy; Reliability; Validity
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#239 0.215 privacy information concerns individuals personal disclosure protection concern consumers practices control data private calculus regulation risk individual legislation government sensitive
#17 0.189 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#263 0.175 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#108 0.159 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#176 0.072 e-commerce value returns initiatives market study announcements stock event abnormal companies significant growth positive using methodology investments period time initiative