Identifying the human capital challenges of banking 4.0 affected by the progress of artificial intelligence: A meta-synthesis study

Document Type : Original Article

Authors

1 Department of Technology Management, Malik Ashtar University of Technology, Tehran, Iran.

2 Department of Technology Management, Branch of South Tehran, Islamic Azad University, Tehran, Iran.

Abstract
Purpose: With the advancement of transformative technologies, changes have occurred in businesses, especially in industries such as banking. One of these technologies is artificial intelligence, which is changing the structure of banks and their performance, and this affects the future of human resources. As artificial intelligence advances, the accuracy and speed of information analysis and the prediction of patterns, trends, financial risks, and crises will improve, but it must be said that it will inevitably force societies to change. To keep pace with these developments, it is necessary to identify the human capital challenges. This research aims to identify the human capital challenges arising from advances in artificial intelligence in fourth-generation banking.
Methodology: This research uses a qualitative research approach and the meta-synthesis tool, which includes the seven steps of Sandelowski and Barso, to evaluate and systematically analyse 84 cases from previous research in order to identify the challenges. In this regard, the opinions of 15 experts were collected through a questionnaire, and the weights of the identified challenges were determined using Shannon's entropy.
Findings: The result of this research leads to the identification of staff challenges which are grouped into four categories and they are health (staff health, user morale, communication with tools), operation (specialised training, user experience, speed of work, accuracy analysis), job and structure (simplification of processes, job enrichment, job change, unemployment or promotion), transparency and security (data manageability, trust in data entry, user security, information security and confidentiality).
Originality/Value: With the advancement of artificial intelligence and other new technologies, human capital in Banking 4.0 faces many challenges that require special attention and careful planning. Identifying these challenges and providing appropriate solutions can improve performance and increase employee satisfaction in this industry. The study of metacombination as an effective tool helps managers respond to these challenges with a comprehensive, scientific perspective.

Keywords

Subjects


[1]  Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., … & Williams, M. D. (2021). Artificial intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. DOI:10.1016/j.ijinfomgt.2019.08.002
[2]   Boobier, T. (2020). AI and the Future of Banking. John Wiley & Sons.
[3]   Caron, M. S. (2019). The transformative effect of AI on the banking industry. Banking & finance law review, 34(2), 169–214. 
[4]   Gorian, E. (2021). Artificial intelligence technology and investments guarantees in banking: the cybersecurity aspect. European proceedings of social and behavioural sciences, 103, 547–552. DOI:10.15405/epsbs.2021.03.69
[5]   Jafarnjad, A. (2000). Management of modern technology. Publications of the Institute of Printing and Publications of the University. (In Persian). https://www.gisoom.com/book/1171688/
[6]   Ramezan Yarandi, M., Behnam Nia, A., Aref, M. R., & Khorashadi Zadeh, M. R. (2020). The role and influence of the digital economy on the strategic model for development of cryptographic science and technology in the islamic republic of Iran. National security, 10(35), 327-358. (In Persian). https://ns.sndu.ac.ir/article_951.html?lang=en
[7]    Nouri, M., & Tabatabaee Nia, S. B. (2019). Studying the factors affecting the growth of the digital economy, its opportunities and threats, and islamic republic of Iran’s appropriate strategiesto counteract the threats. Defense economics and sustainable development, 4(11), 117-147. (In Persian). https://eghtesad.sndu.ac.ir/article_925.html?lang=en
[8]    Moradi, M. A., & Hedayati, M. (2018). Designing the evolutionary model of Iran’s transition to digital economy. Economics research, 18(68), 219-251. (In Persian). https://joer.atu.ac.ir/article_8692_en.html
[9]   Iran, D. (n.d.). National Roadmap Executive Summary (2020-2025) -draft version. www.irandigitaltransformation.ir
[10]  Purwaamijaya, B. M., & Prasetyo, Y. (2022). The effect of artificial intelligence (AI) on human capital management in Indonesia. Jurnal manajemen dan kewirausahaan, 10(2), 168–174. DOI:10.26905/jmdk.v10i2.9130
[11]   Ghandour, A. (2021). Opportunities and challenges of artificial intelligence in banking: systematic literature review. TEM journal, 10(4), 1581–1587. DOI:10.18421/TEM104-12
[12]  Zel, S., & Kongar, E. (2020). Transforming digital employee experience with artificial intelligence. 2020 IEEE/ITU international conference on artificial intelligence for good (AI4G) (pp. 176–179). IEEE. DOI: 10.1109/AI4G50087.2020.9311088
[13]  Jarrahi, M. H. (2018). Artificial intelligence and the future of work: human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577–586. DOI:10.1016/j.bushor.2018.03.007
[14]  Crosman, P. (2018). How artificial intelligence is reshaping jobs in banking. American banker, 183(88), 1. https://files.parsintl.com/eprints/S060220.pdf
[15]  Lee, A. (2017). Banking on artificial intelligence. Abu dhabi university. https://adu.on.worldcat.org/oclc/6930602068
[16]   Buzko, I., Dyachenko, Y., Petrova, M., Nenkov, N., Tuleninova, D., & Koeva, K. (2016). Artificial Intelligence technologies in human resource development. Computer modelling & new technologies, 20(2), 26–29. 
[17]   Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia-social and behavioral sciences, 195, 564–573. DOI:10.1016/j.sbspro.2015.06.134
[18]   Bench, S., & Day, T. (2010). The user experience of critical care discharge: a meta-synthesis of qualitative research. International journal of nursing studies, 47(4), 487–499. DOI:10.1016/j.ijnurstu.2009.11.013
[19]   Sandelowski, M., & Barroso, J. (2007). Handbook for synthesizing qualitative research. Springer publishing company.