Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/50264
Title: Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Authors: Agarwal, James
Malhotra, Naresh K.
Kim, Sung S.
Keywords: Information privacy;concerns for information privacy
Issue Date: 2004
Publisher: INFORMS
Citation: Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model Naresh K. Malhotra, Sung S. Kim and James Agarwal Information Systems Research, Vol. 15, No. 4 (December 2004), pp. 336-355
Abstract: 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.
Description: Post print or preprint must be used. 11/17/2014.Must link to publisher's version http://www.jstor.org.ezproxy.lib.ucalgary.ca/stable/view/23015787
URI: http://hdl.handle.net/1880/50264
ISSN: 1047-7047
Appears in Collections:Agarwal, James

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