Shulin Tang
ABSTRACT
In order to study the influence mechanism of Internet setting structure on user privacy decisions, this paper puts forward some suggestions on the structure of Internet application enterprise privacy policy setting. Methods: Based on the theoretical model of planning behavior, this study constructs a theoretical model of the influence of Internet privacy structure setting on user privacy decisions. Research shows that the privacy audience setting can influence the privacy decision of the user indirectly through the perception control, but also indirectly through the subjective norm.
- XX. 2016. The Corporate Responsibility and Practice of the Protection of Internet Users' Rights —— China Internet Congress 2016 China Internet users' Rights and interests Protection Forum will be held in June. China Internet, 05(2016), 84-85.Google Scholar
- Hui KL, Teo HH, Lee SYT. 2007. The value of privacy assurance: An exploratory field experiment. Mis Quart 31, 1(March 2007), 19-33. https://doi.org/10.2307/25148779Google ScholarCross Ref
- Xu H, Teo H-H, Tan BCY, Agarwal R. 2012. Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services. Information Systems Research 23, 4(Dec 2012), 1342-1363. https://doi.org/10.1287/isre.1120.0416Google ScholarDigital Library
- Zhao L, Lu YB, Gupta S. 2012. Disclosure Intention of Location-Related Information in Location-Based Social Network Services. International Journal of Electronic Commerce 16, 4(Sum 2012), 53-89. https://doi.org/10.2753/jec1086-4415160403Google ScholarDigital Library
- Rui J, Stefanone MAJCiHB. 2013. Strategic self-presentation online: A cross-cultural study. Computers inhuman behavior 29, 1(2013), 110-118. https://doi.org/10.1016/j.chb.2012.07.022Google ScholarDigital Library
- Roselyn, J., Lee-Won, Minsun, Shim, Yeon, 2014. Who puts the best "face" forward on Facebook?: Positive self-presentation in online social networking and the role of self-consciousness, actual-to-total Friends ratio, and culture - ScienceDirect. Computers in human behavior 39, Oct.(2014), 413-423. https://doi.org/10.1016/j.chb.2014.08.007Google ScholarDigital Library
- Shane-Simpson C, Manago A, Gaggi N, Gillespie-Lynch KJCiHB. 2018. Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital. Computers in human behavior 86, SEP.(2018), 276-288. https://doi.org/10.1016/j.chb.2018.04.041Google ScholarCross Ref
- Bansal G, Zahedi FM, Gefen DJI, Management. 2016. Do context and personality matter? Trust and privacy concerns in disclosing private information online. Elsevier science publishers BV 53, 1(2016), https://doi.org/10.1016/j.im.2015.08.001Google ScholarCross Ref
- Morosan C, Defranco A. 2015. Disclosing personal information via hotel apps: A privacy calculus perspective. International Journal of Electronic Commerce 47, (2015), 120-130. https://doi.org/10.2753/JEC1086-4415160403Google ScholarDigital Library
- Libaque-Saenz C, Chang Y, Kim J, Park MC, Rho JJJB, Technology I. 2016. The role of perceived information practices on consumers' intention to authorise secondary use of personal data. Behaviour & information technology, (2016), 339-356. https://doi.org/10.1080/0144929X.2015.1128973Google ScholarDigital Library
- Li Yanhui LL, Liu Bailing. 2016. An Empirical Study of the Privacy Belief and Information Disclosure Intention of Mobile Social Network User. Information Studies: Theory & Application 39, 06(2016), 76-81. https://doi.org/10.16353/j.cnki.1000-7490.2016.06.015Google ScholarCross Ref
- Yuan Hong HY. 2016. On Personal Data Privacy Paradox of Network Generation on Basis of Wechat Usage. Journal of Information 35, 03(2016), 169-173+164. https://doi.org/10.3969/j.issn.1002-1965.2016.03.030Google ScholarCross Ref
- Ming S. Research on Privacy Information Disclosure Behavior in LBSNS Based on Evolutionary Game: South China University of Technology; 2016.Google Scholar
- Hao Sensen XZ, Zhong Zheming. 2017. Enterprise Mobile Terminal App User Information Privacy Concern Model. Library and Information Service 61, 05(2017), 57-65. https://doi.org/10.13266/j.issn.0252-3116.2017.05.008Google ScholarCross Ref
- Zhang Yue SX, Lu Jiaying, 2018. The Empirical Research on the Willingness of Information Disclosure for Mobile Social Platform Users———Taking Wechat as an Example. Library & Information, 03(2018), 90-97. https://doi.org/10.11968/tsyqb.1003-6938.2018049Google ScholarCross Ref
- Malhotra NK, Kim SS, Agarwal JJISR. 2004. Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research 15, 4(2004), 336-355. https://doi.org/10.1287/isre.1040.0032Google ScholarDigital Library
- Zhang Xing CX, Hou Delin, 2016. An analysis of online health information disclosure willingness influencing factors: An integrated of TPB and Privacy Calculus. Information and Documentation Services, 01(2016), 48-53. https://doi.org/CNKI:SUN:QBZL.0.2016-01-011Google Scholar
- Choi B, Land LJI, Management. 2016. The effects of general privacy concerns and transactional privacy concerns on Facebook apps usage. Information & Management 53, 7(2016), 868-877. https://doi.org/10.1016/j.im.2016.02.003Google ScholarDigital Library
- Wang T, Duong TD, Management CCJIJoI. 2016. Intention to disclose personal information via mobile applications: A privacy calculus perspective. International journal of information management 36, 4(2016), 531-542. https://doi.org/10.1016/j.ijinfomgt.2016.03.003Google ScholarDigital Library
- Pentina I, Zhang L, Bata H, Chen YJCiHB. 2016. Exploring privacy paradox in information-sensitive mobile app adoption: A cross-cultural comparison. Computers in Human Behavior 65, DEC.(2016), 409-419. https://doi.org/10.1016/j.chb.2016.09.005Google ScholarDigital Library
- Lim N. 2004. Consumers' perceived risk: Sources versus consequences. Electronic Commerce Research & Applications 2, 3(2004), 216-228. https://doi.org/10.1016/S1567-4223(03)00025-5Google ScholarCross Ref
- Hallam C, Zanella GJCiHB. 2017. Online self-disclosure: The privacy paradox explained as a temporally discounted balance between concerns and rewards. Computers in Human Behavior 68, MAR.(2017), 217-227. https://doi.org/10.1016/j.chb.2016.11.033Google ScholarDigital Library
- James TL, Warkentin M, Collignon SE. 2015. A dual privacy decision model for online social networks. Information & Management 52, 8(Dec 2015), 893-908. https://doi.org/10.1016/j.im.2015.07.010Google ScholarDigital Library
- Zlatolas LN, Welzer T, Heri?Ko M, H?Lbl MJCiHB. 2015. Privacy antecedents for SNS self-disclosure: The case of Facebook. Computers in Human Behavior 45, apr.(2015), 158-167. https://doi.org/10.1016/j.chb.2014.12.012Google ScholarDigital Library
- Heirman W, Walrave M, Vermeulen A, Ponnet K, Vandebosch H, Ouytsel JV, 2016. An open book on Facebook? Examining the interdependence of adolescents' privacy regulation strategies. Behaviour & Information Technology, (2016), 1-14. https://doi.org/10.1080/0144929x.2016.1181210Google ScholarDigital Library
- ZHANG, RUIDONG, CHEN, Jim Q, Lee CJJoCIS. 2013. MOBILE COMMERCE AND CONSUMER PRIVACY CONCERNS. Journal of Computer Information Systems, (2013), https://doi.org/10.1080/08874417.2013.11645648Google ScholarCross Ref
- Wang SC, Wu JH. 2014. Proactive privacy practices in transition: Toward ubiquitous services. Information & Management 51, 1(Jan 2014), 93-103. https://doi.org/10.1016/j.im.2013.09.005Google ScholarDigital Library
- Li X, Xi C, editors. Factors affecting privacy disclosure on social network sites: an integrated model. International Conference on Multimedia Information Networking & Security; 2010.Google ScholarDigital Library
- Tsai JY, Kelley P, Drielsma P, Cranor L, Sadeh N, editors. Who's viewed you?: the impact of feedback in a mobile location-sharing application. Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, Boston, MA, USA, April 4-9, 2009; 2009.Google Scholar
- Jiayin L. 2018. The Impact of Social Media on Young Adults’ Political Participation, and Moderation Effects of Internet Regulation: A Survey on Students from Nine Universities in China. Chinese Journal of Journalism & Communication 40, 08(2018), 98-121. https://doi.org/10.13495/j.cnki.cjjc.2018.08.006Google ScholarCross Ref
Recommendations
An analytical framework for online privacy research
An analytical framework is suggested for interdisciplinary online privacy research.Websites managers views and knowledge is a neglected topic in privacy research.Websites managers indicate that their own websites do not violate users privacy.The younger ...
User interfaces for privacy agents
Most people do not often read privacy policies because they tend to be long and difficult to understand. The Platform for Privacy Preferences (P3P) addresses this problem by providing a standard machine-readable format for website privacy policies. P3P ...
Comments