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Journal ArticleDOI

An Extended Privacy Calculus Model for E-Commerce Transactions

Tamara Dinev, +1 more
- 01 Mar 2006 - 
- Vol. 17, Iss: 1, pp 61-80
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TLDR
Although Internet privacy concerns inhibit e-commerce transactions, the cumulative influence of Internet trust and personal Internet interest are important factors that can outweigh privacy risk perceptions in the decision to disclose personal information when an individual uses the Internet.
Abstract
While privacy is a highly cherished value, few would argue with the notion that absolute privacy is unattainable. Individuals make choices in which they surrender a certain degree of privacy in exchange for outcomes that are perceived to be worth the risk of information disclosure. This research attempts to better understand the delicate balance between privacy risk beliefs and confidence and enticement beliefs that influence the intention to provide personal information necessary to conduct transactions on the Internet. A theoretical model that incorporated contrary factors representing elements of a privacy calculus was tested using data gathered from 369 respondents. Structural equations modeling (SEM) using LISREL validated the instrument and the proposed model. The results suggest that although Internet privacy concerns inhibit e-commerce transactions, the cumulative influence of Internet trust and personal Internet interest are important factors that can outweigh privacy risk perceptions in the decision to disclose personal information when an individual uses the Internet. These findings provide empirical support for an extended privacy calculus model.

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Citations
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Journal ArticleDOI

Information privacy research: an interdisciplinary review

TL;DR: An interdisciplinary review of privacy-related research is provided in order to enable a more cohesive treatment and recommends that researchers be alert to an overarching macro model that is referred to as APCO (Antecedents → Privacy Concerns → Outcomes).
Journal ArticleDOI

Privacy in the digital age: a review of information privacy research in information systems

TL;DR: A critical analysis of the literature reveals that information privacy is a multilevel concept, but rarely studied as such, and calls for research on information privacy to use a broader diversity of sampling populations and to publish more design and action research in journal articles that can result in IT artifacts for protection or control of information privacy.
Journal ArticleDOI

Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion

TL;DR: It is found that an individual's CFIP interacts with argument framing and issue involvement to affect attitudes toward the use of EHRs, and results suggest that attitude toward EHR use and CFIP directly influence opt-in behavioral intentions.
Journal ArticleDOI

The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study

TL;DR: In this article, the authors designed an experiment in which a shopping search engine interface clearly and compactly displays privacy policy information, and they found that when privacy information is made more salient and accessible, some consumers are willing to pay a premium to purchase from privacy protective websites.
Posted Content

Online Social Networks: Why We Disclose

TL;DR: It is found that users are primarily motivated to disclose information because of the convenience of maintaining and developing relationships and platform enjoyment, and users’ perception of risk can be mitigated by their trust in the network provider and availability of control options.
References
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TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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