Overcoming Online Information Privacy Concerns: An Information-Processing Theory Approach

Hann, Il-Horn; Hui, Kai Lung; Lee, Sang-Yong Tom; Png, Ivan P. L.

doi:10.2753/mis0742-1222240202

Cited by 362 publications

(243 citation statements)

References 46 publications

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“…With the proliferation of information and communication technologies, researchers from the information systems (IS) discipline have begun to explore the role of self-disclosure in the context of various online environments (e.g., Hann et al, 2007, Zimmer et al, 2010, Shanyang, 2007, Chou et al, 2009. For example, Chou et al (2009) demonstrated 6 mutual self-disclosure online in the B2C context in which increases of disclosure from company lead to increases of disclosure from their customers.…”

Section: Self-disclosure and Online Self-disclosurementioning

confidence: 99%

Self-disclosure in social networking sites

2015

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. (2015) 'Self-disclosure in social networking sites : the role of perceived cost, perceived bene ts and social in uence.', Internet research., 25 (2). pp. 279-299. Further information on publisher's website:https://doi.org/10.1108/intr-09-2013-0192Publisher's copyright statement:This article is c Emerald Group Publishing and permission has been granted for this version to appear here https://doi.org/10.1108/intr-09-2013-0192. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Design/methodology/approach -Building upon social exchange theory and privacy calculus theory, an integrated model was developed. The model was tested empirically using a sample of 405 social networking site's users. Users were required to complete a survey regarding selfdisclosure behaviors in Facebook. Findings -The results indicate that social influence is the factor which exhibits the strongest effect on self-disclosure in social networking sites, followed by perceived benefits. Surprisingly, perceived privacy risk does not have any significant impact on self-disclosure. Research limitations/implications -The results inform researchers about the importance to incorporate social influence factors and cultural factors into future online self-disclosure study. Practical implications -The results suggest that users focus on the benefits as well as social influence when they decide to reveal personal information in social networking sites, but pay less attention to the potential privacy risks. Educators are advised to launch educational programs to raise students' awareness to the potential risks of self-disclosure in social networking sites.Service providers of social networking sites are encouraged to provide intuitive privacy indices showing users the levels of privacy protection.Originality/value -This paper is one of the first to develop and empirically tests an integrated model of self-disclosure in social networking sites.

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Section: Self-disclosure and Online Self-disclosurementioning

confidence: 99%

Self-disclosure in social networking sites

2015

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“…For example, Tucker and Miller (2008) show that concerns related to privacy and information security can inhibit diffusion of networked IT. Hann et al (2007) evaluate the effectiveness of various online privacy policies using an information processing theory approach. Recently some empirical work has examined the economic implications of vulnerability disclosure.…”

Section: Related Literature and Contributionmentioning

confidence: 99%

Competition and patching of security vulnerabilities: An empirical analysis

Arora

Forman

Nandkumar

et al. 2010

Information Economics and Policy

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a b s t r a c tWe empirically estimate the effect of competition on vendor patching of software defects by exploiting variation in number of vendors that share a common flaw or common vulnerabilities. We distinguish between two effects: the direct competition effect when vendors in the same market share a vulnerability, and the indirect effect, which operates through non-rivals that operate in different markets but nonetheless share the same vulnerability. Using time to patch as our measure of quality, we find empirical support for both direct and indirect effects of competition. Our results show that ex-post product quality in software markets is not only conditioned by rivals that operate in the same product market, but by also non-rivals that share the same common flaw.

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“…They argued that the customers will continue to disclose personal information that is required for transactions as long as the perceived benefits exceed the risks. The findings in [14] suggested that customers are willing to sacrifice a certain portion of their privacy for gaining some financial or convenience benefits.…”

Section: Privacy Calculusmentioning

confidence: 99%