Intention to disclose personal information via mobile applications: A privacy calculus perspective

Tien Wang, Trong Danh Duong, Charlie C. Chen

研究成果: Article同行評審

139 引文 斯高帕斯(Scopus)

摘要

This study aimed to investigate the issue of consumer intention to disclose personal information via mobile applications (apps). Drawing on the literature of privacy calculus theory, this research examined the factors that influence the trade-off decision of receiving perceived benefits and being penalized with perceived risks through the calculus lens. In particular, two paths of the direct effects on perceived benefits and risks that induce the ultimate intention to disclose personal information via mobile apps were proposed and empirically tested. The analysis showed that self-presentation and personalized services positively influence consumers’ perceived benefits, which in turn positively affects the intention to disclose personal information. Perceived severity and perceived control serve as the direct antecedents of perceived risks that negatively affect the intention of consumers to disclose personal information. Compared with the perceived risks, the perceived benefits more strongly influence the intention to disclose personal information. This study extends the literature on privacy concerns to consumer intention to disclose personal information by theoretically developing and empirically testing four hypotheses in a research model. Results were validated in the mobile context, and implications and discussions were presented.

原文English
頁(從 - 到)531-542
頁數12
期刊International Journal of Information Management
36
發行號4
DOIs
出版狀態Published - 2016 8月

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 電腦網路與通信
  • 圖書館與資訊科學

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