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Robotics and Natural Language Processing and the Financial Performance of Deposit Money Banks (DMBs) in Nigeria

Joshua Adewale Adejuwon, & Felix Unuesiri

Abstract

This study investigated the effect of Robotics and Natural Language Processing (NLP) on the Financial Performance of Deposit Money Banks in Nigeria. The study analysed secondary data of selected DMBs for the period 2015 -2023 (9 years). The data were sourced from the Annual Reports of the DMBs, the Central Bank of Nigeria (CBN) Statistical Bulletin and World Development Indicators to establish cause-effect relationships between the variables. The population of the study was the 27 DMBs in Nigeria as at 31st July, 2023, while the sample size was five (5) DMBs (Access Bank, Zenith Bank, UBA, First Bank and GT Bank)The sampling technique used was the non-probability convenience sampling method chosen based on the availability of the financial statements of the DMBs for the period under study. The study employed Error Correction Model (ECM) for time series regression to analyse equilibrium relationships in short run and long run behaviours. The hypothesis was used to test the impact of deployment of robotics on the financial performance of DMBs in Nigeria. The resultant coefficients were positive, but not significant both during pre-and post-Robotics adoption (coefficient = 0.49718, p<0.05 for pre and 0.32080, <0.05 for post Robotics adoption respectively. Therefore, we reject the null hypothesis and accept the alternate hypothesis to conclude that development and deployment of robotics had impacted positively, though non-significantly on the financial performance of DMBs in Nigeria. The hypothesis was also used to test the impact of deployment of NLP on the financial performance of DMBs in Nigeria. The resultant coefficients were positive, but also not significant both during pre-and post-Robotics adoption (coefficient = 0.33833, p<0.05 for pre and 0.30642, p<0.05 for post Robotics adoption respectively. Therefore, we reject the null hypothesis and accept the alternate hypothesis to conclude that development and deployment of NLP

Keywords

RoboticsNatural Language Processing (NLP)Financial PerformanceDeposit

References

Aazhvaar, V. (2019). Artificial intelligence in Indian Banking Sector: Challenges and Opportunities. International Journal of Advanced Research, 7(5), 1581-1587. Abdul-Rahman, A., & Abdul-Ghani, I. (2021). The Impact of Financial Performance Indicators on the Profitability of Banks in Malaysia. International Journal of Economics and Financial Issues, 11(1), 26-34. Aberg, E., and Khati, Y. (2018). Artificial Intelligence in customers’ perceptions regarding services in the banking industry. Linnaeus University Master’s Thesis. Abubakar, S., & Adnan, M. (2021). Return on Equity as a Performance Indicator in the Banking Sector: A Comparative Study. Journal of Financial Services Research, 41(1), 15-27. Aduaka, U. &Awolusi, O., (2020). Electronic Banking and Profitability in the Nigerian Banking Industry, Information Management and Business Review, 12(2(I)), 20-37. Akyuz, A. (2021). Marketing and Financial Services in the Age of Artificial Intelligence. In: Dinger H., Yuksel S. (eds) Financial Strategies in Competitive Markets. Contribution to Financial and Accounting. Springer, chain 327 – 340. Alvi, S., & Ali, A. (2023). Cost Efficiency, Profitability, and Financial Health: An Analysis of Commercial Banks in Pakistan. Journal of Banking and Finance, 32(3), 15-30. Amaduche, S, et al.(2020). The Impact of Electronic Banking on the Operations and Performance of Deposit Money Banks in Nigeria, International Journal of Operational Research in Management, Social Sciences and Education, 6(1), 45-55. Bashir, A., & Nasser, Y. (2024). The Importance of Net Profit Margin in Comparative Financial Analysis of Banks: Evidence from Emerging Economies. International Journal of Finance & Banking Studies, 13(1), 27-39. Chen, J., et al. (2022). Blockchain Technology in the Banking Sector: Impacts on Performance and Efficiency. Journal of Blockchain Research, 7(2), 80-98. Chen, S., et al. (2020). Automating Credit Assessment: A Case Study of Expert Systems in a Leading Bank. International Journal of Financial Technology, 17(4), 201-215. Chen, W., Wang, Y., & Wang, Y. (2018). A Personalized Recommendation Algorithm for Financial Products Based on Machine Learning. In 2018 IEEE International Conference on Big Data (Big Data), 4084-4091. Cioffi, R. (2020). Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions – MDP, 9. D’Souza, R., et al. (2022). The Role of Self-Service Technologies in Enhancing Operational Efficiency in Banking. Journal of Banking Technology and Innovation, 7(1), 50-65. Davis, F., et al, (1989) User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35, 982-1003. Decker, M., Fischer, M. & Ott, I. (2017). Service Robotics and Human Labor: A First Technology Assessment of Substitution and Cooperation. Robotics and Autonomous Systems, 87, 348-354. Fuster, A., Goldsmith-Pinkham, P., Ramadorai, T., & Walther, A. (2020). Predictably unequal? The effects of machine learning on credit markets. The Journal of Finance, 75(3), 1465- Gupta, S., et al. (2022). Enhancing Customer Service in Banking Through NLP-Powered Chatbots. Journal of Financial Services Technology, 9(3), 104-118. Huang, Y., et al. (2022). The Future of Robotics in Banking: Trends and Innovations. Future Technologies in Finance, 35(1), 203-220. Javed, M., & Aslam, M. (2022). The Relationship Between ROE and Investor Attraction in the Banking Sector. International Journal of Finance and Economics, 27(4), 1801-1812. Johnson, M., et al. (2022). An Analysis of Traditional Financial Metrics in the Banking Sector: ROA, ROE, and Net Interest Margin. Journal of Banking and Finance, 50(3), 215- Jones, M. (2019). Enhancing Security in the Banking Sector: The Role of Robotics in Fraud Detection. Journal of Financial Security, 12(4), 201-215. Khan, A., & Zaman, K. (2022). Exploring the Relationship Between Financial Performance and Management Efficiency in Commercial Banks: Evidence from Pakistan. Journal of Finance and Economics, 10(4), 126- 136. Nwankwo, S. & Agbo, E. (2021), Effect of Electronic Banking on Commercial Bank Performance in Nigeria, European Journal of Accounting, Finance and Investment, 7 (1), 68-81. Okwu, A. T., & Alabi, A. O. (2021). Evaluating the Financial Performance of Commercial Banks in Nigeria: A Cross-Sectional Study. International Journal of Financial Research, 12 (4), 49-59. Okwu, A. T., & Omoniyi, M. (2022). Return on Equity and Financial Performance of Banks: An Empirical Analysis. International Journal of Finance & Banking Studies, 11(1), 1- Omojola, A. A., & Adeyemi, A. A. (2020). Impact of Financial Ratios on the Profitability of Nigerian Commercial Banks. International Journal of Finance & Banking Studies, 9(2), 1-10. Oniore, J. & Okoli, U. (2019), Impact of Electronic Banking on the Performance of Money Deposit Banks in Nigeria, Noble International Journal of Economics and Financial Research, 4(9), 83-90., Ononokpono D., et al (2023), Artificial Intelligence Milieu: Implications for Corporate Performance in the Nigerian Banking Industry. International Journal of Research and Innovation in Applied Science,| 8(5), 34-44. Singh, P., et al. (2022). Impact of Robotic Process Automation on Banking Efficiency: A Case Study Approach. Journal of Banking & Finance Technology, 6(2), 205-220. Smith, J. (2020). Robotic Process Automation in Banking: Transforming Customer Service. Journal of Banking Technology, 15(3), 112-126 Ukwen, C., Akpoji, A., & Abu, A. (2021). Determinants of Bank Performance: Evidence from Nigeria. International Journal of Economics and Business Management, 7(1), 1-20. Vaswani, A., et al. (2022). Multimodal Natural Language Processing: Advances and Challenges in Speech Translation. Journal of Artificial Intelligence Research, 74, 1-21. Zhang, L., et al. (2018). Expert Systems in Fraud Detection: A Case Study of a Global Bank. Journal of Financial Crime, 15(3), 112-126. Zhang, L., Pentina, I., & Fan, Y. (2021). Who do you Choose? Comparing Perceptions of Human vs Robo- advisor in the Context of Financial Services. Journal of Services Marketing, 35 (5), 6344 – 646.

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