Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
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...
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description | 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. |
doi_str_mv | 10.1287/isre.1040.0032 |
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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><identifier>ISSN: 1047-7047</identifier><identifier>EISSN: 1526-5536</identifier><identifier>DOI: 10.1287/isre.1040.0032</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>Behavior ; causal model ; Causality ; Computer privacy ; concerns for information privacy ; Consumer attitudes ; Consumer behavior ; Consumer research ; Consumers ; Direct marketing ; Discriminant analysis ; Distribution channels ; Electronic commerce ; Financial risk ; Health care information privacy ; information privacy ; Information storage and retrieval systems ; Information systems ; Internet ; Internet users' information privacy concerns ; Marketing ; Modeling ; nomological network ; Personal information ; Privacy ; Quantitative psychology ; structural equation modeling ; Studies ; Sumer</subject><ispartof>Information systems research, 2004-12, Vol.15 (4), p.336-355</ispartof><rights>2004 INFORMS</rights><rights>COPYRIGHT 2004 Institute for Operations Research and the Management Sciences</rights><rights>Copyright Institute for Operations Research and the Management Sciences Dec 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-1ca1ddb200fa98d63844d95f0e5a3f864c7b70f3ea60db399b05c250778e9a943</citedby><cites>FETCH-LOGICAL-c445t-1ca1ddb200fa98d63844d95f0e5a3f864c7b70f3ea60db399b05c250778e9a943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/23015787$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/isre.1040.0032$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,780,784,803,3690,27923,27924,58016,58249,62615</link.rule.ids></links><search><creatorcontrib>Malhotra, Naresh K</creatorcontrib><creatorcontrib>Kim, Sung S</creatorcontrib><creatorcontrib>Agarwal, James</creatorcontrib><title>Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model</title><title>Information systems research</title><description>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. 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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.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/isre.1040.0032</doi><tpages>20</tpages></addata></record> |
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subjects | Behavior causal model Causality Computer privacy concerns for information privacy Consumer attitudes Consumer behavior Consumer research Consumers Direct marketing Discriminant analysis Distribution channels Electronic commerce Financial risk Health care information privacy information privacy Information storage and retrieval systems Information systems Internet Internet users' information privacy concerns Marketing Modeling nomological network Personal information Privacy Quantitative psychology structural equation modeling Studies Sumer |
title | Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model |
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