An Empirical Examination of the Concern for Information Privacy Instrument

构造(python库) 维数(图论) 验证性因素分析 反冲 集合(抽象数据类型) 订单(交换) 样品(材料) 个人可识别信息 计算机科学 互联网隐私 数据科学 结构方程建模 业务 计算机安全 人工智能 化学 数学 财务 色谱法 机器学习 纯数学 程序设计语言
作者
Kathy A. Stewart,Albert H. Segars
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:13 (1): 36-49 被引量:726
标识
DOI:10.1287/isre.13.1.36.97
摘要

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.
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