Abstract
Internet information security is getting more attention. Users are adopting more and more ways to protect their information when browsing the web and shopping online, and more users are choosing not to disclose personal information to websites. Many factors influence consumers’ privacy disclosure intention. This study innovatively introduces consumers’ country background and website user interface design to explore their influence on behavioural intention. We developed a model of factors influencing consumers’ intention to disclose personal information, organized experiments to collect data, and conducted an empirical study using partial least squares structural equation modeling (PLS-SEM). The study results showed that consumers’ general trust in companies is influenced by many factors and significantly affects consumers’ intention to disclose information. Corporate reputation significantly affects consumers’ intention to disclose information directly and indirectly. Consumers’ privacy concerns can also have a significant impact. Country context and user interface design also influenced consumer behaviour, but not as much as corporate reputation and consumer privacy concerns. Research provides targeted development recommendations for consumers, businesses, and legislators.
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References
UNCTAD: Digital economy report 2021. Tech. rep., United Nations Conference on Trade and Development, Palais des Nations, 8–14, Av. de la Paix, 1211 Geneva 10, Switzerland (2021)
UNCTAD: Estimates of global e-commerce 2019 and preliminary assessment ofcovid-19 impact on online retail 2020. Tech. rep., United Nations Conference on Trade and Development, Palais des Nations, 8–14, Av. de la Paix, 1211 Geneva 10, Switzerland (2021)
Huang, G.B.: Global ecommerce forecast 2021(2021). https://www.emarketer.com
Regulation, P.: Regulation (EU) 2016/679 of the European Parliament and of the Council. Regulation (EU), 679, (2016)
Voigt, P., Von dem Bussche, A.: The EU General Data Protection Regulation (GDPR). A Practical Guide, 1st edn., vol. 10, pp. 10–5555 Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57959-7
Culnan, M.J., Armstrong, P.K.: Information privacy concerns, procedural fairness, and impersonal trust: an empirical investigation. Organ. Sci. 10(1), 104–115 (1999)
Robinson, C.: Disclosure of personal data in ecommerce: a cross-national comparison of Estonia and the united states. Telematics Inform. 34(2), 569–582 (2017)
Leach, E.: Social BEhavior: Its Elementary Forms. Harcourt, Brace (1961)
Martin, K.D., Murphy, P.E.: The role of data privacy in marketing. J. Acad. Mark. Sci. 45(2), 135–155 (2016). https://doi.org/10.1007/s11747-016-0495-4
Kokolakis, S.: Privacy attitudes and privacy behaviour: a review of current research on the privacy paradox phenomenon. Comput. Secur. 64, 122–134 (2017)
Punyatoya, P.: Effects of cognitive and affective trust on online customer behavior. Market. Intell. Plann. 37(2018)
Huang, J.S., Pan, S.L.: China’s suning: combining online and offline businesses units. In: Digital Enablement and Innovation in China: A Casebook, pp. 39–44. World Scientific, Beijing (2019)
Corritore, C.L., Kracher, B., Wiedenbeck, S.: On-line trust: concepts, evolving themes, a model. Int. J. Hum Comput Stud. 58(6), 737–758 (2003)
Liu, Y., Tang, X.: The effects of online trust-building mechanisms on trust and repurchase intentions: an empirical study on eBay. Inf. Technol. People 31(2018)
Liang, Y.: Research on factors affecting mobile E-commerce consumer trust. In: Zhang, R., Zhang, Z., Liu, K., Zhang, J. (eds.) LISS 2013, pp. 1023–1028. Springer, Berlin (2013). https://doi.org/10.1007/978-3-642-40660-7_153
Hoffman, D.L., Novak, T.P., Peralta, M.A.: Information privacy in the marketspace: implications for the commercial uses of anonymity on the web. Inf. Soc. 15(2), 129–139 (1999)
Jarvenpaa, S.L., Tractinsky, N., Vitale, M.: Consumer trust in an internet store. Inf. Technol. Manage. 1(1), 45–71 (2000)
Jarvenpaa, S.L., Knoll, K., Leidner, D.E.: Is anybody out there? Antecedents of trust in global virtual teams. J. Manag. Inf. Syst. 14(4), 29–64 (1998)
Swaminathan, V., Lepkowska-White, E., Rao, B.P.: Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. J. Comput. Mediat. Commun. 5(2), JCMC523 (1999)
Steel, J.L.: Interpersonal correlates of trust and self-disclosure. Psychol. Rep. 68(3 suppl), 1319–1320 (1991)
Wakefield, R.: The influence of user affect in online information disclosure. J. Strateg. Inf. Syst. 22(2), 157–174 (2013)
Dinev, T., Hart, P.: An extended privacy calculus model for e-commerce transactions. Inf. Syst. Res. 17(1), 61–80 (2006)
Bansal, G., Zahedi, F.M., Gefen, D.: Do context and personality matter? Trust and privacy concerns in disclosing private information online. Inf. Manag. 53(1), 1–21 (2016)
Smith, H.J., Dinev, T., Xu, H.: Information privacy research: an interdisciplinary review. MIS Q. 35, 989–1015 (2011)
Dinev, T., Hart, P.: Internet privacy concerns and social awareness as determinants of intention to transact. Int. J. Electron. Commer. 10(2), 7–29 (2005)
Eastlick, M.A., Lotz, S.L., Warrington, P.: Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. J. Bus. Res. 59(8), 877–886 (2006)
Sheehan, K.B., Hoy, M.G.: Flaming, complaining, abstaining: how online users respond to privacy concerns. J. Advert. 28(3), 37–51 (1999)
Dinev, T., Hart, P., Mullen, M.R.: Internet privacy concerns and beliefs about government surveillance–an empirical investigation. J. Strateg. Inf. Syst. 17(3), 214–233 (2008)
Yu, L., Li, H., He, W., Wang, F.K., Jiao, S.: A meta-analysis to explore privacy cognition and information disclosure of internet users. Int. J. Inf. Manage. 51, 102015 (2020)
Bol, N., et al.: Understanding the effects of personalization as a privacy calculus: analyzing self-disclosure across health, news, and commerce contexts. J. Comput.-Mediat. Commun. 23(6), 370–388 (2018)
Fernandes, T., Pereira, N.: Revisiting the privacy calculus: why are consumers (really) willing to disclose personal data online? Telematics Inform. 65, 101717 (2021)
Sun, Y., Wang, N., Shen, X.L., Zhang, J.X.: Location information disclosure in location-based social network services: privacy calculus, benefit structure, and gender differences. Comput. Hum. Behav. 52, 278–292 (2015)
Venkatesh, V., Morris, M.G.: Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Q 24, 115–139 (2000)
Plangger, K., Montecchi, M.: Thinking beyond privacy calculus: investigating reactions to customer surveillance. J. Interact. Mark. 50, 32–44 (2020)
Doney, P.M., Cannon, J.P.: An examination of the nature of trust in buyer–seller relationships. J. Mark. 61(2), 35–51 (1997)
Ganesan, S.: Determinants of long-term orientation in buyer-seller relationships. J. Mark. 58(2), 1–19 (1994)
Burke, P.F., Dowling, G., Wei, E.: The relative impact of corporate reputation on consumer choice: beyond a halo effect. J. Mark. Manag. 34(1314), 1227–1257 (2018)
Earp, J.B., Baumer, D.: Innovative web use to learn about consumer behavior and online privacy. Commun. ACM 46(4), 81–83 (2003)
Imler, B.B., Garcia, K.R., Clements, N.: Are reference pop-up widgets welcome or annoying? A usability study. Ref. Serv. Rev. 44(3), 282–291 (2016)
Adjerid, I., Peer, E., Acquisti, A.: Beyond the privacy paradox: objective versus relative risk in privacy decision making. MIS Q. 42(2), 465–488 (2018)
Acquisti, A., Grossklags, J.: What can behavioral economics teach us about privacy. Digit. Privacy Theory Technol. Pract. 18, 363–377 (2007)
Barth, S., De Jong, M.D.: The privacy paradox–investigating discrepancies between expressed privacy concerns and actual online behavior–a systematic literature review. Telematics Inform. 34(7), 1038–1058 (2017)
Quinn, K.: Why we share: a uses and gratifications approach to privacy regulation in social media use. J. Broadcast. Electron. Media 60(1), 61–86 (2016)
Podsakoff, P.M., MacKenzie, S.B., Podsakoff, N.P.: Sources of method bias in social science research and recommendations on how to control it. Annu. Rev. Psychol. 63, 539–569 (2012)
Ringle, C.M., Wende, S., Becker, J.M.: SmartPLS 3. SmartPLS GmbH, Boenningstedt. J. Serv, Sci. Manag. 10(3), 32–49 (2015)
Sarstedt, M., Ringle, C.M., Hair, J.F., et al.: Partial least squares structural equation modeling. Handb. Market Res. 26(1), 1–40 (2017)
Cronbach, L.J.: Coefficient alpha and the internal structure of tests. Psychometrika 16(3), 297–334 (1951)
Hair, J.F.: Multivariate Data Analysis, 7th edn. Prentice Hall, Upper Saddle River (2009)
Nunnally, J.C.: Psychometric Theory 3E. Tata McGraw-Hill Education, New York (1994)
Forza, C.: Survey research in operations management: a process-based perspective. Int. J. Oper. Prod. Manag. 22(2), 152–194 (2002)
Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A.: An assessment of the use of partial least squares structural equation modeling in marketing research. J. Acad. Mark. Sci. 40(3), 414–433 (2012)
Barclay, D., Thompson, R., Higgins, C.: The partial least squares (PLS) approach to causal modeling: personal computer use as an illustration. Technol. Stud. 2 (1995)
Chin, W.W., Newsted, P.R.: Structural equation modeling analysis with small samples using partial least squares. Stat. Strat. Small Sample Res. 1(1), 307–341 (1999)
Luhmann, N.: Trust and Power. Wiley, Chichester (2018)
Li, S.: Study on development of small and medium-sized enterprises cluster in china with view of regional cultural perspective. Sci. Res. 37, 7–18 (2010)
Manchala, D.W.: E-commerce trust metrics and models. IEEE Internet Comput. 4(2), 36–44 (2000)
Acknowledgments
This study is supported by grants from the Zhejiang University of Technology Humanities and Social Sciences Pre-Research Fund Project (GZ21731320013), the Zhejiang University of Technology Subject Reform Project (GZ21511320030), and China’s National Undergraduate Innovation and Entrepreneurship Training Program (File No. 202110337048).
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Wei, T., Cao, C., Shi, Y. (2022). Personal Information Protection Behaviors of Consumers in Different Country Context and User Interface Designs. In: Rau, PL.P. (eds) Cross-Cultural Design. Applications in Business, Communication, Health, Well-being, and Inclusiveness. HCII 2022. Lecture Notes in Computer Science, vol 13313. Springer, Cham. https://doi.org/10.1007/978-3-031-06050-2_7
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