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Transformation of Business Model in Finance Sector with Artificial Intelligence and Robotic Process Automation

  • İlker MetEmail author
  • Deniz Kabukçu
  • Gökçe Uzunoğulları
  • Ümit Soyalp
  • Tugay Dakdevir
Chapter
Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Abstract

Organizations operating in this fast pace era must have a dynamic structure to be competitive in a volatile business environment both inside and outside. Automation and data are driving fundamental changes in our daily lives and in the way of doing business. In this respect transforming business processes call upon the technological advancements of two rising technologies of today: artificial intelligence and robotic process operations in finance sector is analysed in terms of their ability of business models in digital age. These two emerging technologies will lead to a transformation in the customer service model and internal operation processes in finance sector with current and future potential impacts. The institutions should prepare their business models and employees for this future in order to turn this development into an opportunity. In this study, it is evaluated that how financial institutions should change their business models in order to benefit from these two developments and a use-case of a bank has been shared.

References

  1. Accenture Latest Thinking: Robotic Process Automation. (2019). The future of technology in financial services. Retrieved January 29, 2019, from https://www.accenture.com/dk-en/insight-financial-services-robotic-process-automation
  2. Beytekin, O. F., Yalçinkaya, M., Dogan, M., & Karakoç, N. (2010). The organizational culture at the university. The International Journal of Educational Researchers, 2(1), 1–13.Google Scholar
  3. Davenport, T. H., & Kirby, J. (2015). Beyond automation. Harvard Business Review, 93(6), 58–65.Google Scholar
  4. Dilek, S., Çakır, H., & Aydın, M. (2015). Applications of artificial intelligence techniques to combating cybercrimes: A review. arXiv preprint arXiv:1502.03552.Google Scholar
  5. Fuller, R. B., & Kuromiya, K. (1981). Critical path. New York: Macmillan.Google Scholar
  6. Gartner: Hype Cycle for Artificial Intelligence. (2018). Retrieved January 28, 2019, from https://www.gartner.com/document/3872994?ref=solrAll&refval=215054371&qid=c9fefbba8154f71d621efbf896f7b6d2
  7. Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, 1(1).  https://doi.org/10.1177/2053951714528481 CrossRefGoogle Scholar
  8. Lévy, P., & Bononno, R. (1997). Collective intelligence: Mankind’s emerging world in cyberspace. Cambridge, MA: Perseus Books.Google Scholar
  9. McCarthy, J. (1998). What is artificial intelligence? Retrieved January 29, 2019, from http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html
  10. Morello, D. (2016). Gartner: Survey analysis: What leading enterprises do differently with talent and organization? (ID: G00313901).Google Scholar
  11. Schilling, D. R. (2013). Knowledge doubling every 12 months, soon to be every 12 hours. Industry Tap, 13.Google Scholar
  12. Searle, S. (2018). Gartner: How virtual assistants, immersive experiences and robots will impact your organization (Technical Report).Google Scholar
  13. Thompson, E., Sarner, A., Travis, T., Bharaj, G., Shen S., & Huang O. (2018). Gartner: What’s hot in CRM applications in 2018 (ID: G00348275).Google Scholar
  14. Toffler, A., Hyman, D. A., Abels, S. L., Abels, P., & Richmond, S. A. (1970). The Future Schock. New York.Google Scholar
  15. Walker, M., Andrews, W., & Cearley, D. (2018). Gartner: Top 10 strategic technology trends for 2018: Intelligent apps and analytics (ID: G00345513).Google Scholar
  16. Willcocks, L. P., Lacity, M., & Craig, A. (2015). The IT function and robotic process automation.Google Scholar
  17. Zahra, S. A., & George, G (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • İlker Met
    • 1
    Email author
  • Deniz Kabukçu
    • 1
  • Gökçe Uzunoğulları
    • 1
  • Ümit Soyalp
    • 1
  • Tugay Dakdevir
    • 1
  1. 1.Enterprise Architecture Group DirectorateAltindagTurkey

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