Measurement of Privacy Leakage Tolerance on the Mobile Internet

Abstract

Abstract:

With more convenient identity authentication and information transmission, mobile Internet brings users a great deal of convenience as well as the risk of privacy leakage. With the situation that users' privacy is leaked to enterprises, the privacy leakage tolerance of mobile Internet users is proposed and analyzed from three dimensions, which are information sensitivity, receiver sensitivity and usage sensitivity, and research model is established accordingly. Based on the description and dimensions of privacy leakage tolerance, a three-order privacy leakage tolerance scale with 37 items is designed and verified. The result shows that the scale has good reliability and validity for the measurement of privacy leakage tolerance on the mobile Internet, and the data clearly show privacy leakage tolerance distribution of mobile Internet users. The measurement of privacy leakage tolerance on the mobile Internet is helpful to explain privacy paradox and to analyze users' behaviors of privacy disclosure or privacy computing. Moreover, it is conducive for mobile Internet companies to collect users' information appropriately and to protect users' privacy with target.

Key words: privacy, privacy leakage, tolerance, mobile Internet, scale development

Li Rui, Zhang Ruijian, Li Wenli, Chen Hao. Measurement of Privacy Leakage Tolerance on the Mobile Internet[J]. , 2016, 28(7): 102-111.

References

[1] 杨珉,王晓阳,张涛等.国内Android应用商城中程序隐私泄露分析[J].清华大学学报:自然科学版,2012,52(10):1420-1426
[2] 张冕,鲁耀斌.移动服务持续使用过程中促进因素和抑制因素的平衡研究[J].图书情报工作,2012,56(14):135-140
[3] Xu F.,Michael K.,Chen X.Factors Affecting Privacy Disclosure on Social Network Sites:An Integrated Model[J].Electronic Commerce Research,2013,13(2):151-168
[4] Zimmer J.C.,Arsal R.E.,Al-Marzouq M.et al.Investigating Online Information Disclosure:Effects of Information Relevance,Trust and Risk[J].Information and Management,2010,47(2):115-123
[5] Bélanger F.,Crossler R.E.Privacy in the Digital Age:A Review of Information Privacy Research in Information Systems[J].MIS Quarterly,2011,35(4):1017-1042
[6] Hann I.,Hui K.L.,Lee S.T.et al.Online Information Privacy:Measuring the Cost-Benefit Trade-Off[C].The International Conference on Information Systems,2002
[7] Hann I.,Hui K.L.,Lee S.T.et al.Overcoming Online Information Privacy Concerns:An Information-Processing Theory Approach[J].Journal of Management Information Systems,2007,24(2):13-42
[8] 吴亮,邵培基,盛旭东,等.基于改进型技术接受模型的物联网服务采纳实证研究[J].管理评论,2012,24(3):66-74
[9] Kehr F.,Kowatsch T.,Wentzel D.et al.Blissfully Ignorant:The Effects of General Privacy Concerns,General Institutional Trust,and Affect in the Privacy Calculus[J].Information Systems Journal,2015,25(6):607-635
[10] Chen R.,Sharma S.K.Learning and Self-disclosure Behavior on Social Networking Sites:The Case of Facebook Users[J].European Journal of Information Systems,2015,24(1):93-106
[11] Smith H.J.,Milberg S.J.,Burke S.J.Information Privacy:Measuring Individuals' Concerns about Organizational Practices[J].MIS Quarterly,1996,20(2):167-196
[12] Hong W.,Thong J.Y.L.Internet Privacy Concerns:An Integrated Conceptualization and Four Empirical Studies[J].MIS Quarterly,2013,37(1):275-298
[13] Bansal G.,Zahedi F.,Gefen D.The Impact of Personal Dispositions on Information Sensitivity,Privacy Concern and Trust in Disclosing Health Information Online[J].Decision Support Systems,2010,49(2):138-150
[14] Xu H.,Teo H.,Tan B.C.et al.The Role of Push-Pull Technology in Privacy Calculus:The Case of Location-based Services[J].Journal of Management Information Systems,2009,26(3):135-174
[15] 顾忠伟,徐福缘,卫军.可穿戴商务消费者初始信任影响因素的实证研究[J].管理评论,2015,27(7):168-176
[16] Bansal G.,Zahedi F.M.,Gefen D.Do Context and Personality Matter? Trust and Privacy Concerns in Disclosing Private Information Online[J].Information and Management,2016,53(1):1-21
[17] Grable J.E.Financial Risk Tolerance and Additional Factors that Affect Risk Taking in Everyday Money Matters[J].Journal of Business and Psychology,2000,14(4):625-630
[18] Hallahan T.A.,Faff R.W.,Mckenzie M.D.An Empirical Investigation of Personal Financial Risk Tolerance[J].Financial Services Review,2004,13(1):57-78
[19] Barsky R.B.,Juster F.T.,Kimball M.S.et al.Preference Parameters and Behavioral Heterogeneity:An Experimental Approach in the Health and Retirement Study[J].The Quarterly Journal of Economics,1997,112(2):537-579
[20] 陈良勇,马祖军.无偿献血者流失行为影响机制研究[J].管理评论,2015,27(11):151-160
[21] Liang H.,Xue Y.Avoidance of Information Technology Threats:A Theoretical Perspective[J].MIS Quarterly,2009,33(1):71-90
[22] 杨永清,张金隆,李楠等.移动增值服务消费者感知风险前因的实证研究[J].管理评论,2012,24(3):115-123
[23] 工业和信息化部电信研究院.移动互联网白皮书[EB/OL].http://www.caict.ac/kxyj/qwfb/bps/201212/P020130613318746955259.pdf,2011
[24] Adams A.,Sasse M.A.Privacy in Multimedia Communications:Protecting Users,Not Just Data[M].London:Springer,2001
[25] 黄涛.移动互联网产业链建设及其风险管理[D].北京邮电大学硕士学位论文,2009
[26] Acquisti A.,Brandimarte L.,Loewenstein G.Privacy and Human Behavior in the Age of Information[J].Science,2015,347(6221):509-514
[27] 中国互联网络信息中心.第32次中国互联网络发展状况统计报告[EB/OL].http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201307/P020130717505343100851.pdf,2013
[28] Hu L.T.,Bentler P.M.Cutoff Criteria for Fit Indexes in Covariance Structure Analysis:Conventional Criteria versus New Alternatives[J].Structural Equation Modeling:A Multidisciplinary Journal,1999,6(1):1-55