JOURNAL ARTICLE

Information privacy disclosure on social network sites

Kai LiXiaowen WangKunrong LiJianguo Che

Journal:   RePEc: Research Papers in Economics   Publisher: Federal Reserve Bank of St. Louis

Abstract

Purpose - As social network sites (SNS) have increasingly become one of the most important channels for communication, the related privacy issues gain more and more attention in both industry and academic research fields. This study aims to connect the antecedents of information privacy disclosure on SNS. Design/methodology/approach - Based on exchange theory, this study tries to investigate the decision-making process for information privacy disclosure on SNS. Factors from both user’s and website’s perspectives are taken into account in the proposed model. Findings - The results suggest that an individual’s perceived benefits will increase their willingness to disclose information privacy on SNS, but perceived risks decrease this kind of willingness. The authors also find social network size, personal innovativeness and incentive provision positively affect people’s perceived benefits. Originality/value - Moreover, privacy invasion experience enhances perceived personal risks, but website reputation helps to reduce perceived risks.

Keywords:
Reputation Personally identifiable information Information privacy Affect (linguistics) Incentive Social network (sociolinguistics) Process (computing) Privacy by Design

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Topics

Privacy, Security, and Data Protection
Social Sciences →  Social Sciences →  Sociology and Political Science
Technology Adoption and User Behaviour
Social Sciences →  Decision Sciences →  Information Systems and Management
Impact of Technology on Adolescents
Social Sciences →  Social Sciences →  Sociology and Political Science

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