Privacy frontiers in customers’ relations with banks

Authors

  • Dariusz Piotrowski Department of Financial Management, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, Poland https://orcid.org/0000-0001-8482-8064

DOI:

https://doi.org/10.18559/ebr.2023.1.5

Keywords:

privacy, personal data processing, Artificial Intelligence, banking ethics, social media

Abstract

The widespread use of digital technologies in banking allows banks to obtain and analyse huge amounts of data from different communication channels. While this phenomenon is conducive to improving the quality of services it also increases the risk of privacy breaches. The aim of this study is to identify what factors determine consumer acceptance of banks’ use of public access personal data found on social media accounts. The results indicate the importance of the financial incentive and consumers’ assessment of banks’ information activities regarding the processing of personal data. Determinants relating to the technological sophistication of respondents were also found to be significant, with a particular focus on the ethical evaluation of decisions made by Artificial Intelligence algorithms. The results of the work may be used by banks in practice to adapt the area of personal data management to the requirements of e-privacy and Trustworthy Artificial Intelligence.

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References

Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–515.
View in Google Scholar

Acquisti, A., & Grossklags, J. (2006). Privacy and rationality. In K. J. Strandburg & D. S. Raicu (Eds.), Privacy and technologies of identity. A cross-disciplinary conversation (pp. 15–29). Springer.
View in Google Scholar

Acquisti, A., Taylor, C. R., & Wagman, L. (2016). The economics of privacy. Journal of Economic Literature, 54(2), 442–492.
View in Google Scholar

Arfan, M., & Khan, R. (2017). Ordinal logit and multilevel ordinal logit models: An application on wealth Index MICS-Survey Data. Pakistan Journal of Statistics and Operation Research, 13(1), 211–226.
View in Google Scholar

Ashworth, L., & Free, C. (2006). Marketing dataveillance and digital privacy: Using theories of justice to understand consumers’ online privacy concerns. Journal of Business Ethics, 67(2), 107–123.
View in Google Scholar

Askar, M. A. E., Aboutabl, A. E., & Galal, A. (2022). Utilizing social media data analytics to enhance banking services. Intelligent Information Management, 14, 1–14.
View in Google Scholar

Azucar, D., Marengo, D., & Settanni, M. (2018). Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis. Personality and Individual Differences, 124, 150–159.
View in Google Scholar

Balaban, D., & Mustățea, M. (2021). Privacy concerns in mobile communication. A user’s perspective. Philobiblon, 26, 101–114.
View in Google Scholar

Barth, S., & De Jong, M. (2017). The privacy paradox—investigating discrepancies between expressed privacy concerns and actual online behavior—a systematic literature review. Telematics and Informatics, 34(7), 1038-1058.
View in Google Scholar

Batrinca, B., & Treleaven, P. C. (2015). Social media analytics: A survey of techniques, tools and platforms. AI & Society, 30(1), 89–116.
View in Google Scholar

Behrendt, H., & Loh, W. (2022). Informed consent and algorithmic discrimination—is giving away your data the new vulnerable? Review of Social Economy, 80(1), 58–84.
View in Google Scholar

Bejger, S., & Elster, S. (2020). Artificial Intelligence in economic decision making: How to assure a trust? Ekonomia i Prawo. Economics and Law, 19(3), 411–434.
View in Google Scholar

Belanger, F., & Crossler, R. (2011). Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35(4), 1017–1041.
View in Google Scholar

Betzing, J. H., Tietz, M., vom Brocke, J., & Becker, J. (2020). The impact of transparency on mobile privacy decision making. Electronic Markets, 30(3), 607–625.
View in Google Scholar

Cai, Y., Yee, G., Gu, Y., & Lung, Ch. H. (2020). Threats to online advertising and countermeasures: A technical survey. Digital Threats: Research and Practice, 1(2), 1–27.
View in Google Scholar

Cambridge Centre for Alternative Finance. (2020). Transforming paradigms. A global AI in financial services survey. https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/2020-ccaf-ai-in-financial-services-survey.pdf
View in Google Scholar

Chai, S. (2020). Does cultural difference matter on social media? An examination of the ethical culture and information privacy concerns. Sustainability, 12(19), 8286.
View in Google Scholar

Chai, S., & Kim, M. (2012). A socio-technical approach to knowledge contribution behavior: An empirical investigation of social networking sites users. International Journal of Information Management, 32(2), 118–126.
View in Google Scholar

Chen, H. T., & Chen, W. (2015). Couldn’t or wouldn’t? The influence of privacy concerns and self-efficacy in privacy management on privacy protection. Cyberpsychology, Behavior, and Social Networking, 18(1), 13–19.
View in Google Scholar

Cheung, C., Lee, Z. W., & Chan, T. K. (2015). Self-disclosure in social networking sites: The role of perceived cost, perceived benefits and social influence. Internet Research, 25(2), 279–299.
View in Google Scholar

Chowdhury, R. M. M. (2019). The moral foundations of consumer ethics. Journal of Business Ethics, 158(1), 585–601.
View in Google Scholar

Cottrell, A., & Lucchetti, R. (2014). Gretl user’s guide. Gnu regression, econometrics and time-series library. https://www.academia.edu/31887034/Gretl_Users_Guide_Gnu_Regression_Econometrics_and_Time_series_Library
View in Google Scholar

Credit Suisse. (2020). Data protection information. https://www.credit-suisse.com/media/assets/private-banking/docs/uk/data-privacy-policy.pdf
View in Google Scholar

Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of Social Issues, 59(2), 323–342.
View in Google Scholar

Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80.
View in Google Scholar

Directive on privacy and electronic communications. (2002). Directive 2002/58/EC of the European Parliament and of the Council of 12 July 2002 concerning the processing of personal data and the protection of privacy in the electronic communications sector. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32002L0058&from=EN
View in Google Scholar

Du, J., Kerkhof, P., & Van Koningsbruggen, G. M. (2019). Predictors of social media self-control failure: immediate gratifications, habitual checking, ubiquity, and notifications. Cyberpsychology, Behavior, and Social Networking, 22(7), 477–485.
View in Google Scholar

European Commission. (2017). Proposal for a regulation of the European Parliament and of the Council concerning the respect for private life and the protection of personal data in electronic communications and repealing Directive 2002/58/EC. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52017PC0010&from=EN
View in Google Scholar

European Commission. (2019). Ethics guidelines for trustworthy AI. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
View in Google Scholar

European Parliament. (2018). Directive (EU) 2018/843 of the European Parliament and of the Council of 30 May 2018 amending Directive (EU) 2015/849 on the prevention of the use of the financial system for the purposes of money laundering or terrorist financing, and amending Directives 2009/138/EC and 2013/36/EU. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32018L0843&from=EN
View in Google Scholar

Fife, E., & Orjuela, J. (2012). The privacy calculus: Mobile apps and user perceptions of privacy and security. International Journal of Engineering Business Management, 4, 1–10.
View in Google Scholar

Financial Stability Board. (2017, November 1). Artificial Intelligence and machine learning in financial services. https://www.fsb.org/2017/11/artificial-intelligence-and-machine-learning-in-financial-service/
View in Google Scholar

Flender, C., & Müller, G. (2012). Type indeterminacy in privacy decisions: the privacy paradox revisited. In J. Busemeyer, F. Dubois, A. Lambert-Mogiliansky & M. Melucci (Eds.), Quantum interaction. Lecture notes in computer science (pp. 148–159). Springer-Verlag.
View in Google Scholar

Floridi, L. (2006). Four challenges for a theory of informational privacy. Ethics and Information Technology, 8(3), 109–119.
View in Google Scholar

Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions of the Royal Society A, 374(2083), 20160360.
View in Google Scholar

Framework Directive. (2002). Directive 2002/21/EC of the European Parliament and of the Council of 7 March 2002 on a common regulatory framework for electronic communications networks and services. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32002L0021&from=pl
View in Google Scholar

Gancarczyk, M., Łasak, P., & Gancarczyk, J. (2022). The fintech transformation of banking: Governance dynamics and socio-economic outcomes in spatial contexts. Entrepreneurial Business and Economics Review, 10(3), 143–165. https://doi.org/10.15678/EBER.2022.100309
View in Google Scholar

General Data Protection Regulation (GDPR). (2016). Regulation (Eu) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2016.119.01.0001.01.ENG
View in Google Scholar

Giza, W., & Wilk, B. (2021). Revolution 4.0 and its implications for consumer behaviour. Entrepreneurial Business and Economics Review, 9(4), 195–206. https://doi.org/10.15678/EBER.2021.090412
View in Google Scholar

Hacker, P. (2021). A legal framework for AI training data—from first principles to the Artificial Intelligence Act. Law, Innovation and Technology, 13(2), 257–301.
View in Google Scholar

Hagerty, A., & Rubinov, I. (2019). Global AI ethics: A review of the social impacts and ethical implications of Artificial Intelligence. ArXiv, 1907.07892. https://doi.org/10.48550/arXiv.1907.07892
View in Google Scholar

Hasal, M., Nowaková, J., Saghair, K. A., Abdulla, H., Snášel, V., & Ogiela, L. (2021). Chatbots: Security, privacy, data protection, and social aspects. Concurrency and Computation. Practice and Experience, 33(1), e6426.
View in Google Scholar

Hu, Q., & Ma, S. (2010). Does privacy still matter in the era of web 2.0? A qualitative study of user behavior towards online social networking activities. PACIS, 2, 591–602.
View in Google Scholar

Kehr, F., Kowatsch, T., Wentzel, D., & Fleisch, E. (2015). Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Information Systems Journal, 25(6), 607–635.
View in Google Scholar

Keith, M. J., Thompson, S. C., Hale, J., Lowry, P. B., & Greer, Ch. (2013). Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior. International Journal of Human-Computer Studies, 71(12), 1163–1173.
View in Google Scholar

Kirakosyan, K. (2015). Social media usage in banking industry and its managerial view: Case study for Mexican banking system. Journal of Economic and Social Development, 2(1), 34–43.
View in Google Scholar

Korol, T., & Fotiadis, A. K. (2022). Implementing Artificial Intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan. Oeconomia Copernicana, 13(2), 407–438.
View in Google Scholar

Loh, W. (2018). A practice-theoretical account of privacy. Ethics and Information Technology, 20(2), 233–247.
View in Google Scholar

Margulis, S. T. (2003). Privacy as a social issue and behavioral concept. Journal of Social Issues, 59(2), 243–261.
View in Google Scholar

Martin, K. (2011). Information technology and privacy: conceptual muddles or privacy vacuums? Ethics and Information Technology, 14(4), 267–284.
View in Google Scholar

Martin, K. (2016). Understanding privacy online: development of a social contract approach to privacy. Journal of Business Ethics, 137(3), 551–569.
View in Google Scholar

Martin, K. (2019). Ethical implications and accountability of algorithms. Journal of Business Ethics, 160(4), 835–850.
View in Google Scholar

McGuinness, D. M., & Simon, A. (2018). Information disclosure, privacy behaviours, and attitudes regarding employer surveillance of social networking sites. IFLA Journal, 44(3), 203–222.
View in Google Scholar

Millar, J. (2017). Ethics settings for autonomous vehicles. In P. Lin, R. Jenkins & K. Abney (Eds.), Robot ethics 2.0. From autonomous cars to artificial intelligence (pp. 20–34). Oxford University Press.
View in Google Scholar

Misselhorn, C. (2018). Artificial morality. Concepts, issues and challenges. Society, 55(2), 161–169.
View in Google Scholar

Muhammad, S. S., Dey, B. L., Syed Alwi, S. F., Kamal, M. M., & Asaad, Y. (2022), Consumers’ willingness to share digital footprints on social media: The role of affective trust. Information Technology & People, 36(2), 595–625.
View in Google Scholar

Muhammad, S. S., Dey, B. L., & Weerakkody, V. (2018). Analysis of factors that influence customers’ willingness to leave big data digital footprints on social media: A systematic review of literature. Information Systems Frontiers, 20(3), 559–576.
View in Google Scholar

Muravyeva, E., Janssen, J., Specht, M., & Custers, B. (2020). Exploring solutions to the privacy paradox in the context of e-assessment: Informed consent revisited. Ethics and Information Technology, 22(3), 223–238.
View in Google Scholar

Mutimukwe, Ch., Kolkowska, E., & Grönlund, Å. (2019). Information privacy in e-service: Effect of organizational privacy assurances on individual privacy concerns, perceptions, trust and self-disclosure behavior. Government Information Quarterly, 37(1), 101413.
View in Google Scholar

Nguyen, T., & Dang, T. (2019). Privacy preserving biometric-based remote authentication with secure processing unit on untrusted server. IET Biometrics, 8(1), 79–91.
View in Google Scholar

Nissenbaum, H. (2009). Privacy in context: Technology, privacy, and the integrity of social life. Stanford University Press.
View in Google Scholar

Obar, J., & Oeldorf-Hirsch, A. (2020). The biggest lie on the internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society, 23(1), 128–147.
View in Google Scholar

OECD. (2021). Artificial Intelligence, machine learning and big data in finance: opportunities, challenges, and implications for policy makers. https://www.oecd.org/finance/artificial-intelligence-machine-learning-big-data-in-finance.htm
View in Google Scholar

Parusheva, S. (2017). Social media banking models: A case study of a practical implementation in banking sector. Economic Studies, 3, 125–141.
View in Google Scholar

Payment Services Directive 2. (2015). Directive (EU) 2015/2366 of the European Parliament and of the Council of 25 November 2015 on payment services in the internal market, amending Directives 2002/65/EC, 2009/110/EC and 2013/36/EU and Regulation (EU) No 1093/2010, and repealing Directive 2007/64/EC. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32015L2366&from=PL
View in Google Scholar

Pentina, I., Zhang, L., Bata, H., & Chen, Y. (2016). Exploring privacy paradox in information-sensitive mobile app adoption: A cross-cultural comparison. Computers in Human Behavior, 65, 409–419.
View in Google Scholar

Petronio, S. (2002). Boundaries of privacy: Dialectics of disclosure. State University of New York Press.
View in Google Scholar

Piotrowska, A. I., Polasik, M., & Piotrowski, D. (2017). Prospects for the application of biometrics in the Polish banking sector. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(3), 501–518.
View in Google Scholar

Piotrowski, D. (2022). Consumer perceived ethicality of banks in the era of digitalisation: The case of Poland. Economics and Business Review, 22(1), 90–114.
View in Google Scholar

Pollach, I. (2005). A typology of communicative strategies in online privacy policies: Ethics, power and informed consent. Journal of Business Ethics, 62(3), 221–235.
View in Google Scholar

Recast. (2018). Directive 2018/1972 of the European Parliament and of the Council of 11 December 2018 establishing the European Electronic Communications Code. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32018L1972
View in Google Scholar

Reynolds, S. J. (2008). Moral attentiveness: who pays attention to the moral aspects of life? Journal of Applied Psychology, 93(5), 1027–1041.
View in Google Scholar

Rodrigues, A., Ferreira, F., Teixeira, F., & Zopounidis, C. (2022). Artificial Intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakehol-der cognition-driven framework. Research in International Business and Finance, 60, 101616.
View in Google Scholar

Roessler, B. (2015). Should personal data be a tradable good? On the moral limits of markets in privacy. In B. Roessler & D. Mokrosinska (Eds.), Social dimensions of privacy: Interdisciplinary perspectives (pp. 141–161). Cambridge University Press.
View in Google Scholar

Royakkers, L., Timmer, J., Kool, L., & Est, R. (2018). Societal and ethical issues of digitization. Ethics and Information Technology, 20(2), 127–142.
View in Google Scholar

Sarathy, R., & Robertson, C. J. (2003). Strategic and ethical considerations in managing digital privacy. Journal of Business Ethics, 46(2), 111–126.
View in Google Scholar

Schwartz, M. S. (2016). Ethical decision-making theory: An integrated approach. Journal of Business Ethics, 139(4), 755–776.
View in Google Scholar

Shadbolt, N., & Hampson, R. (2018). The digital ape: How to live (in peace) with smart machines. Scribe.
View in Google Scholar

Shane-Simpson, C., Manago, A., Gaggi, N., & Gillespie-Lynch, K. (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, 276–288.
View in Google Scholar

Solove, D. J. (2013). Introduction: privacy self-management and the consent dilemma. Harvard Law Review, 126(7), 1880–1903.
View in Google Scholar

Steppe, R. (2017). Online price discrimination and personal data: A General Data Protection Regulation perspective. Computer Law & Security Review, 33(6), 768–785.
View in Google Scholar

Stutzman, F., Gross, R., & Acquisti, A. (2013). Silent listeners: The evolution of privacy and disclosure on Facebook. Journal of Privacy and Confidentiality, 4(2), 7–41.
View in Google Scholar

Tene, O., & Polonetsky, J. (2013). Big data for all: Privacy and user control in the age of analytics. Northwestern Journal of Technology and Intellectual Property, 11, 239–273.
View in Google Scholar

Toti, J. F., Diallo, M. F., & Huaman-Ramirez, R. (2021). Ethical sensitivity in consumers’ decision-making: The mediating and moderating role of internal locus of control. Journal of Business Research, 131, 168–182.
View in Google Scholar

Trivedi, N., Asamoah, D. A., & Doran, D. (2018). Keep the conversations going: Engagement-based consumer segmentation on online social service platforms. Information Systems Frontiers, 20(2), 239–257.
View in Google Scholar

Waliszewski, K., & Zięba-Szklarska, M. (2020). Robo-advisors as automated personal financial planners—SWOT analysis. Journal of Finance and Financial Law, 3(27), 155–173.
View in Google Scholar

Wernaart, B. (2021). Developing a roadmap for the moral programming of smart technology. Technology in Society, 64(10), 101466.
View in Google Scholar

Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369.
View in Google Scholar

Wooldridge, J. (2010). Econometric analysis of cross section and panel data. MIT Press.
View in Google Scholar

Wottrich, V. M., van Reijmersdal, E. A., & Smit, E. G. (2019). App users unwittingly in the spotlight: A model of privacy protection in mobile apps. Journal of Consumer Affairs, 53(3), 1056–1083.
View in Google Scholar

Xie, W., & Karan, K. (2019). Consumers’ privacy concern and privacy protection on social network sites in the era of big data: Empirical evidence from college students. Journal of Interactive Advertising, 19(3), 187–201.
View in Google Scholar

Yamin, M. (2019). Information technologies of 21st century and their impact on the society. International Journal of Information Technology, 11(4), 759–766.
View in Google Scholar

Yee, G. O. M. (2017). Visualization and prioritization of privacy risks in software systems. International Journal on Advances in Security, 10(1&2), 14–25.
View in Google Scholar

Zuiderveen Borgesius, F., & Poort, J. (2017). Online price discrimination and EU data privacy law. Journal of Consumer Policy, 40(3), 347–366.
View in Google Scholar

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2023-04-17 — Updated on 2023-09-19

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How to Cite

Piotrowski, D. (2023). Privacy frontiers in customers’ relations with banks. Economics and Business Review, 9(1), 119-141. https://doi.org/10.18559/ebr.2023.1.5 (Original work published 2023)

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