DIGITAL TRANSFORMATION AND INTRODUCTION OF ARTIFICIAL INTELLIGENCE IN A BULGARIAN COMMERCIAL BANK IN THE CONTEXT OF BUSINESS PROCESS IMPROVEMENT

Authors

  • Ivelin Kolev University of National and World Economy, Bulgaria

Keywords:

Digital Transformation, Artificial Intelligence, Business Process Management, Banking

Abstract

The purpose of this paper is to conceptualize the relationship between Business Process Improvement (BPI) and digital transformation and introduction of AI in a Bulgarian commercial bank. Using the theoretical framework of Business Process Management this paper aims to examine the role of digitalization in improving the business processes in a bank. Furthermore, the paper discusses the idea of Business Process Improvement aimed to ensure that organizations systematically integrate emerging opportunities, such as those brought about by digital technologies and artificial intelligence. Thus, a BPI method for proactively integrating opportunities like AI and digitalization into business processes is presented and analytically discussed. The methodology in the paper combines Business Process Management methods with Innovation Management methods, provides possibilities to identify opportunities resulting from digital technologies, AI and changing customer needs, and to integrate these opportunities into improved business processes with added value propositions. The application of digital transformation and AI is observed, studied and tested in a Bulgarian commercial bank in the context of business process improvement. The business processes covered in the AI implementation relate to: providing personalized banking information in a digital environment; selling certain banking, insurance, investment and non financial products in the bank’s mobile application; after sales service to individual customers; customer contact management in a digital environment, both in the branch network, as well as in the bank's customer service call centre; automation of internal banking processes with focus on management of communication and sales offers. The fully personalised digital assistant builds on automated banking processes and leverages the full range of data available to the bank to create digital experience that is entirely focused on the customer and their needs. The findings of this paper suggest that there is a need for banks to adjust the management of their business processes with innovation management if they are deliberate to foster innovations and to be sustainable. The implementation of AI in a commercial bank requires radical changes in the bank concept of BPM and a new methodology of business process improvement should be established and experimented. The conclusions of the paper confirm that a commercial bank basing on business process management can implement innovation management and AI thus fulfilling customers’ expectations of digitalization and new value proposition.

Author Biography

Ivelin Kolev, University of National and World Economy, Bulgaria

Department of Management

References

Aartsengel, A., & Kurtoglu, S. (2013). Handbook on Continuous Improvement Transformation. Springer

Ahmad, T., & Looy, A. Van (2020). Business process management and digital innovations: A systematic literature review. Sustainability 12 (17), 2020 6827

Dumas, M. et al (2013). Fundamentals of business process management. Springer, Berlin

Gomez, C., & De Pablos-Heredero, C. (2020). Artificial Intelligence as an Enabling Tool for the Development of Dynamic Capabilities in the Banking Industry. International Journal of Enterprise Information Systems (IJEIS), 16(3), 20–33. https://EconPapers.repec.org/RePEc:igg:jeis00:v:16:y:2020:i:3:p:20-33

Harmon, P. (2003). Business Process Change. Paperback

Heckmann, C.S., & Maedche, A. (2018). IT ambidexterity for business processes: The importance of balance. Bus. Process

Manag. J. 2018, 24, 862–881

Lientz, B., & Rea K. (2001). Professional’s Guide to Process Improvement - Maximizing Profit, Efficiency, and

Growth. Harcourt Professional Publishing, New York

Madison, D. (2005). Process Mapping, Process Improvement and Process Management. Paton Press LLC, Chico

Martelo-Landroguez, S., & Cegarra-Navarro, J. (2014). Linking knowledge corridors to customer value through knowledge processes, Journal of Knowledge Management, Vol.8(2)

Martins, P.V., & Zacarias, M. (2017). An Agile Business Process Improvement Methodology, accepted for the International Conference on Enterprise Information Systems CENTERIS, 2017

McCormack, K. et al (2009). A global investigation of key turning points in business process maturity, Business Process Management Journal, Vol.15(5)

Mendling, J. et al (2020). Building a Complementary Agenda for Business Process Management and Digital Innovation. Eur. J. Inf. Systems

Magalhães, R. (2009). Proposals for an Agile Business Process Management Methodology

Owczarek, D. (2022, March 29). AI in Banking. Applications and Benefits of Artificial Intelligence in Financial Services. https://nexocode.com/blog/posts/ai-in-banking.applications-and-benefits-of-artificial-intelligence-in-financial-services/

Roeser, T., & Kern E. (2015). Surveys in business process management–a literature review, Business Process Management Journal, Vol.21(3)

Rummler, G. et al. (2010). White Space Revisited - Vreating Value Through process. Jossey-Bass, San Francisco

Schmiedel, T., & vom Brocke, J. (2015). Business Process Management: Potentials and Challenges of Driving Innovation. In Driving Innovation in a Digital World. Management for Professionals; Springer: Cham, Switzerland, 2015; pp. 3–15

Siha, S., & Saad G. (2008). Business Process Improvement: empirical assessment and extensions, Business Process Management Journal, Vol.14(6)

Singh, S.K. et al (2019). BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence. Future Gener. Comput. Syst. 2019, 11

Thiemich & Puhlmann (2013) An agile BPM project methodology, August 2013 DOI:10.1007/978-3-642-40176-3_25 Conference: Proceedings of the 11th international conference on Business Process Management

Van Looy, A., & Poels, G. (2019). A Practitioners’ Point of View on How Digital Innovation Will Shape the Future of Business Process Management: Towards a Research Agenda. In Proceedings of the 52nd Hawaii International Conference on System Sciences, Grand Wailea, HI, USA, 8–11 January 2019; Volume 6

Veerla, V. (2021). To Study the Impact of Artificial Intelligence as Predictive Model in Banking Sector: Novel Approach. IJIRT, 7(8)

vom Brocke, J. et al (2014). Ten principles of good business process management, Bus Process Manage Journal, Vol.20(4)

Downloads

Published

2024-03-31

How to Cite

Kolev, I. (2024). DIGITAL TRANSFORMATION AND INTRODUCTION OF ARTIFICIAL INTELLIGENCE IN A BULGARIAN COMMERCIAL BANK IN THE CONTEXT OF BUSINESS PROCESS IMPROVEMENT. KNOWLEDGE - International Journal , 63(1), 73–78. Retrieved from http://ojs.ikm.mk/index.php/kij/article/view/6666