- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
-
- Naresh K. Malhotra
- College of Management, Georgia Tech, 800 West Peachtree Street, Atlanta, Georgia 30332
-
- Sung S. Kim
- School of Business, University of Wisconsin–Madison, 975 University Avenue, Madison, Wisconsin 53706
-
- James Agarwal
- Haskayne School of Business, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada
Search this article
Description
<jats:p> The lack of consumer confidence in information privacy has been identified as a major problem hampering the growth of e-commerce. Despite the importance of understanding the nature of online consumers' concerns for information privacy, this topic has received little attention in the information systems community. To fill the gap in the literature, this article focuses on three distinct, yet closely related, issues. First, drawing on social contract theory, we offer a theoretical framework on the dimensionality of Internet users' information privacy concerns (IUIPC). Second, we attempt to operationalize the multidimensional notion of IUIPC using a second-order construct, and we develop a scale for it. Third, we propose and test a causal model on the relationship between IUIPC and behavioral intention toward releasing personal information at the request of a marketer. We conducted two separate field surveys and collected data from 742 household respondents in one-on-one, face-to-face interviews. The results of this study indicate that the second-order IUIPC factor, which consists of three first-order dimensions—namely, collection, control, and awareness—exhibited desirable psychometric properties in the context of online privacy. In addition, we found that the causal model centering on IUIPC fits the data satisfactorily and explains a large amount of variance in behavioral intention, suggesting that the proposed model will serve as a useful tool for analyzing online consumers' reactions to various privacy threats on the Internet. </jats:p>
Journal
-
- Information Systems Research
-
Information Systems Research 15 (4), 336-355, 2004-12
Institute for Operations Research and the Management Sciences (INFORMS)
- Tweet
Details 詳細情報について
-
- CRID
- 1364233269816284672
-
- ISSN
- 15265536
- 10477047
-
- Data Source
-
- Crossref