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Relationship banking and information technology: the role of artificial intelligence and FinTech

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Abstract

Banks have no time for complacency. They need to re-evaluate their competitive advantages in light of profound changes driven by advances in information technology (IT) and competitive pressure from FinTech companies. This article emphasizes that banks should not abolish relationship banking, which nurtures close contact with bank customers. A long-term orientation of relationship banking streamlines incentives and supports the long-term needs of bank customers. However, banks might be lured into transaction banking due to the presence of IT-driven economies of scale and competition from FinTech start-ups and IT companies. In this light, the article evaluates the role of distances, artificial intelligence, and behavioral biases. Implications for stability in banking are explored. We argue that relationship banking can overcome its drawbacks, but it needs to adjust to the new reality in order to survive.

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Notes

  1. Obtained from the ECB Statistical Data Warehouse (http://sdw.ecb.europa.eu) and from the FDIC webpage (https://www5.fdic.gov/hsob/HSOBRpt.asp).

  2. The evidence from the introduction of retail payments in Europe shows that sometimes IT developments need to be supported by regulation. Increasing competition, establishing customer protection policies, and limiting large cash payments are needed (Hasan et al. 2014).

  3. Fungácová et al. (2016) analyze the level and determinants of trust in banking across countries and point to the importance of socioeconomic factors. Trust in banks is higher for women, increases with income, and is affected by an individual’s religious, political, and economic values.

  4. Directive 2015/2366/EU 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.

  5. A famous example is Microsoft’s artificially intelligent Twitter bot named Tay. After Tay was exploited by a group of users and spammed with inflammatory messages, it began tweeting racist messages itself. Subsequently, Microsoft has released Zo, a censored version of Tay.

  6. Zwikael and Globerson (2006) find a positive but low impact of risk management planning on project performance. Miloš Sprčić et al. (2016) identify a positive impact of enterprise risk management on a firm value in a short run but not in a long run.

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Acknowledgements

The authors would like to thank to the anonymous referee, the editor Igor Lončarski, Arnoud Boot, Iftekhar Hasan, Robin Lumsdaine, Vasja Rant, Lev Ratnovski, and Razvan Vlahu for their valuable comments and suggestions.

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Jakšič, M., Marinč, M. Relationship banking and information technology: the role of artificial intelligence and FinTech. Risk Manag 21, 1–18 (2019). https://doi.org/10.1057/s41283-018-0039-y

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