EconPapers    
Economics at your fingertips  
 

Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model

Naresh K. Malhotra (), Sung S. Kim () and James Agarwal ()
Additional contact information
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

Information Systems Research, 2004, vol. 15, issue 4, 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.

Keywords: information privacy; concerns for information privacy; Internet users' information privacy concerns; structural equation modeling; nomological network; causal model (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (266)

Downloads: (external link)
http://dx.doi.org/10.1287/isre.1040.0032 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:15:y:2004:i:4:p:336-355

Access Statistics for this article

More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:orisre:v:15:y:2004:i:4:p:336-355