Achieving a Balance Between Privacy Protection and Data Collection: A Field Experimental Examination of a Theory-Driven Information Technology Solution
Published Online:5 Oct 2021https://doi.org/10.1287/isre.2021.1045
References
- (1999) Privacy in e-commerce: Examining user scenarios and privacy preferences. Proc. 1st ACM Conf. Electronic Commerce (ACM, New York), 1-8.Google Scholar
- (2017) Nudges for privacy and security: Understanding and assisting users’ choices online. ACM Comput. Surveys 50(3):1–41.Crossref, Google Scholar
- (2015) Your location has been shared 5,398 times! A field study on mobile app privacy nudging. Proc. 33rd Annual ACM Conf. Human Factors Comput. Systems (ACM, New York), 787–796.Google Scholar
- (2006) Marketing dataveillance and digital privacy: Using theories of justice to understand consumers’ online privacy concerns. J. Bus. Ethics 67(2):107–123.Crossref, Google Scholar
- (2016) Do context and personality matter? Trust and privacy concerns in disclosing private information online. Inform. Management 53(1):1–21.Crossref, Google Scholar
- (2011) Privacy in the digital age: A review of information privacy research in information systems. MIS Quart. 35(4):1017–1041.Crossref, Google Scholar
- (1964) Exchange and Power in Social Life (Wiley, New York).Google Scholar
- (2013) Misplaced confidences: Privacy and the control paradox. Soc. Psych. Personal. Sci. 4(3):340–347.Crossref, Google Scholar
- (2009) Internet and online information privacy: An exploratory study of preteens and early teens. IEEE Trans. Professional Commun. 52(2):167–182.Crossref, Google Scholar
- (2007) Information filtering, expertise and cognitive load BT. Schmorrow DD, Reeves LM, eds. Foundations of Augmented Cognition (Springer, Berlin, Heidelberg), 75–83.Crossref, Google Scholar
- (2016) Influence of firm’s recovery endeavors upon privacy breach on online customer behavior. J. Management Inform. Systems 33(3):904–933.Crossref, Google Scholar
- (1994) Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Systems 67(2):163–172.Crossref, Google Scholar
- (1995) Consumer awareness of name removal procedures: Implications for direct marketing. J. Direct Marketing 9(2):10–19.Crossref, Google Scholar
- (1999) Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organ. Sci. 10(1):104–115.Link, Google Scholar
- (2003) Consumer privacy: Balancing economic and justice considerations. J. Soc. Issues 59(2):323–342.Crossref, Google Scholar
- (2018) Personalized privacy assistants for the internet of things: Providing users with notice and choice. IEEE Pervasive Comput. 17(3):35–46.Crossref, Google Scholar
- (2006) An extended privacy calculus model for e-commerce transactions. Inform. Systems Res. 17(1):61–80.Link, Google Scholar
- (2008) Differential privacy: A survey of results. Agrawal M, Du D, Duan Z, Li A, eds. Internat. Conf. Theory Appl. Models Comput. (Springer, Berlin), 1–19.Google Scholar
- EPIC and Junkbusters (2000) An assessment of P3P and internet privacy. Accessed September 16, 2020, https://epic.org/reports/prettypoorprivacy.html.Google Scholar
- (2000) E-commerce: The role of familiarity and trust. Omega 28(5):725–737.Crossref, Google Scholar
- Gemalto (2018) Data breaches compromised 3.3 billion records in the first half of 2018. Accessed October 23, 2020, https://www.gemalto.com/press/Pages/Data-Breaches-Compromised-3-3-Billion-Records-in-First-Half-of-2018.aspx.Google Scholar
- (2014) A model for privacy compromisation value. Procedia Comput. Sci. 37:143–152.Crossref, Google Scholar
- (2000) Can P3P help to protect privacy worldwide? Proc. 2000 ACM Workshops Multimedia (ACM, New York), 157–160.Crossref, Google Scholar
- (2017) Privacy concerns for mobile app download: An elaboration likelihood model perspective. Decision Support Systems 94:19–28.Crossref, Google Scholar
- (2007) Predicting customer service employees’ job satisfaction and turnover intentions: The roles of customer interactional injustice and interdependent self-construal. Soc. Justice Res. 20(4):479–496.Crossref, Google Scholar
- (2007) The value of privacy assurance: An exploratory field experiment. MIS Quart. 31(1):19–33.Crossref, Google Scholar
- Internet Law Research Center (2016) China personal information security and privacy report. Accessed December 10, 2020, http://www.199it.com/archives/540836.html.Google Scholar
- (2017) Beyond the personalization–privacy paradox: Privacy valuation, transparency features, and service personalization. J. Management Inform. Systems 34(2):369–400.Crossref, Google Scholar
- Knijnenburg BP, Kobsa A, Saldamli G (2012) Privacy in mobile personalized systems: The effect of disclosure justifications. Proc. 8th Sympos. Usable Privacy Security (ACM, New York).Google Scholar
- (2005) Privacy indexes: A survey of Westin’s studies. Institute for Software Research International Technical Report, Carnegie Mellon University, Pittsburgh.Google Scholar
- (2010) A pervasive P3P-based negotiation mechanism for privacy-aware pervasive e-commerce. Decision Support Systems 50(1):213–221.Crossref, Google Scholar
- Kwon OA, Lee Y, Sarangib D (2011) A galois lattice approach to a context-aware privacy negotiation service. Expert Systems Appl. 38(10):12619–12629.Google Scholar
- (2009) TOPSIS decision-making method on three parameters interval-valued fuzzy sets. Systems Engrg. Theory Practice 29(5):129–136.Crossref, Google Scholar
- (2014) A multi-level model of individual information privacy beliefs. Electronic Commerce Res. Appl. 13(1):32–44.Crossref, Google Scholar
- (2019) Valuing intrinsic and instrumental preferences for privacy. Preprint, submitted June 25, 2020, https://dx.doi.org/10.2139/ssrn.3406412.Google Scholar
- (2014) Modeling users’ mobile app privacy preferences: Restoring usability in a sea of permission settings. Proc. 10th Sympos. Usable Privacy Security (ACM, New York), 199–212.Google Scholar
- (2016) Follow my recommendations: A personalized privacy assistant for mobile app permissions. Zurko ME, Consolvo S, Smith M, eds. Proc. 12th USENIX Conf. Usable Privacy Security (USENIX Association, Berkeley, CA), 27–41.Google Scholar
- (2014) User control of personal information concerning mobile-app: Notice and Consent? Comput. Law Security Rev. 30(5):521–529.Crossref, Google Scholar
- (2016) Ethics as pacemaker: Regulating the heart of the privacy-trust relationship: A proposed conceptual model. 37th Internat. Conf. Inform. Systems (AIS, Atlanta), 1–12.Google Scholar
- (2004) Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Inform. Systems Res. 15(4):336–355.Link, Google Scholar
- (2008) The cost of reading privacy policies. J. Law Policy Inform. Soc. 4(3):540–565.Google Scholar
- (2006) Privacy policy statements and consumer willingness to provide personal information. J. Electronic Commerce Organ. 4(1):1–17.Crossref, Google Scholar
- (2015) Datasift CEO: Making social data consumable. Accessed January 15, 2020, http://www.cbronline.com/ news/big-data/analytics/datasift-ceo-making-social-data-consumable-4738572.Google Scholar
- (2015) Predictors of avoidance toward personalization of restaurant smartphone advertising: A study from the millennials’ perspective. J. Hospitality Tourism Tech. 6(2):145–159.Crossref, Google Scholar
- (2011) State of the information privacy literature: Where are we now and where should we go? MIS Quart. 35(4):977–988.Crossref, Google Scholar
- (2006) Implementing privacy negotiations in e-commerce. Zhou X, Li J, Shen HT, Kitsuregawa M, Zhang Y, eds. Frontiers of WWW Research and Development—APWeb 2006 (Springer, Berlin), 604–615.Crossref, Google Scholar
- (1986) The elaboration likelihood model of persuasion. Communication and Persuasion (Springer, New York), 1–24.Google Scholar
- QuestMobile (2017) 2017 Online banking app list. Accessed June 20, 2018, https://linkprotect.cudasvc.com/url?a=http%3a%2f%2fwww.questmobile.com.cn%2fresearch%2freport-new%2f19.&c=E,1,NgIj79Pkt0qc1xECxqGMIvtCCXMajJVJYAIh20vITCdTO7lmgroWVQDg2vBhZvtmUmXme-4GDo7SBKSvqo_iGZJoV2lMVYyrksWciFkrx3mKRZC6&typo=1.Google Scholar
- (2014) Disclosing too much? Situational factors affecting information disclosure in social commerce environment. Electronic Commerce Res. Appl. 13(5):305–319.Crossref, Google Scholar
- (2011) Information privacy research: An interdisciplinary review. MIS Quart. 35(4):989–1015.Crossref, Google Scholar
- (1996) Information privacy: Measuring individuals’ concerns about organizational practices. MIS Quart. 20(2):167–196.Crossref, Google Scholar
- (2020) The best of both worlds: Mitigating trade-offs between accuracy and user burden in capturing mobile app privacy preferences. Proc. Privacy Enhancing Tech. (Sciendo, Warsaw), 195–215.Crossref, Google Scholar
- (2008) Internet users’ information privacy-protective responses: A taxonomy and a nomological model. MIS Quart. 32(3):503–529.Crossref, Google Scholar
- (2001) Justice strategy options for increased customer satisfaction in a services recovery setting. J. Bus. Res. 54(3):209–218.Crossref, Google Scholar
- (2013) The effects of notice vs. awareness: An empirical examination of an online consumer’s privacy risk treatment. Proc. 46th Hawaii Internat. Conf. System Sci. (IEEE Computer Society, Washington, DC), 3229–3238.Google Scholar
- (2006) Achieving privacy in trust negotiations with an ontology-based approach. IEEE Trans. Dependable Secure Comput. 3(1):13–30.Crossref, Google Scholar
- (2013) Privacy, trust and control: Which relationships with online self-disclosure? Comput. Human Behav. 29(3):821–826.Crossref, Google Scholar
- (1975) Procedural Justice: A Psychological Analysis (L. Erlbaum Associates, Mahwah, NJ).Google Scholar
- (2014) Mind and Heart of the Negotiator, 6th ed. (Pearson, London).Google Scholar
- (2003) Americans online privacy: The system is broken. Report, Annenberg Public Policy Center of the University of Pennsylvania, Philadelphia.Google Scholar
- (2014) Proactive privacy practices in transition: Toward ubiquitous services. Inform. Management 51(1):93–103.Crossref, Google Scholar
- (1967) Privacy and Freedom (Atheneum, New York).Google Scholar
- (2017) The feasibility of dynamically granted permissions: Aligning mobile privacy with user preferences. 38th IEEE Sympos. Security Privacy (IEEE, New York), 1077–1093.Crossref, Google Scholar
- (2006) Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior. Marketing Lett. 17(1):61–74.Crossref, Google Scholar
- (2007) An interactive procedure for linguistic multiple attribute decision making with incompletely weight information. Fuzzy Optim. Decision Making 6(1):17–27.Crossref, Google Scholar
- (2009) The role of push-pull technology in privacy calculus: The case of location-based services. J. Management Inform. Systems 26(3):135–174.Crossref, Google Scholar
- (2012) Effects of individual self-protection, industry self-regulation, and government regulation on privacy concerns: A study of location-based services. Inform. Systems Res. 23(4):1342–1363.Link, Google Scholar
- (1975) The concept of a linguistic variable and its application to approximate reasoning. Inform. Sci. 8(3):199–249.Crossref, Google Scholar
- (2012) Disclosure intention of location-related information in location-based social network services. Internat. J. Electronic Commerce 16(4):53–90.Crossref, Google Scholar
- (2016) The effect of perceived justice on LBS users’ privacy concern. Inform. Development 32(5):1730–1740.Crossref, Google Scholar
- (2007) Aggregation approach of two kinds of three-point interval number comparison matrix in group decision making. Acta Automatica Sinica 33(3):297–301.Crossref, Google Scholar

