Enhancing Bank Performance: Integrating Enterprise Risk Management with Mobile Banking Applications
pdf

Keywords

Enterprise risk management
Mobile banking adoption
Bank performance

How to Cite

Yoewono, H., & Prabowo, A. (2024). Enhancing Bank Performance: Integrating Enterprise Risk Management with Mobile Banking Applications. Journal of Economics, Business, and Accountancy Ventura, 27(2), 207-216. https://doi.org/10.14414/jebav.v27i2.4572

How to Cite

Yoewono, H., & Prabowo, A. (2024). Enhancing Bank Performance: Integrating Enterprise Risk Management with Mobile Banking Applications. Journal of Economics, Business, and Accountancy Ventura, 27(2), 207-216. https://doi.org/10.14414/jebav.v27i2.4572

Abstract

This study investigates how the implementation of mobile banking and enterprise risk management (ERM) contributes to the success of financial institutions in a rapidly evolving financial environment. To understand the relationship between ERM, mobile banking adoption, and bank performance, we surveyed 250 senior bankers from the 25 largest banks in Indonesia using Partial Least Squares Structural Equation Modeling (PLS-SEM). Our findings indicate that effective ERM implementation positively affects bank performance. Mobile banking enhances customer convenience, streamlines operations, and broadens market reach, increasing customer satisfaction, operational efficiency, and profitability. Additionally, using mobile banking applications mediates the positive indirect impact of ERM on bank performance. This research highlights that ERM's effect on Indonesian banking performance is partly mediated by adopting mobile banking applications. The study contributes to the literature on RBV theory, which suggests that banks can create innovative ERM strategies and leverage its unique resources, such as mobile banking, to remain competitive and sustain their performance. The innovation aligns with the principles of TAM, which highlights the significance of perceived usefulness and ease of use in technology adoption.

pdf

References

Abu Afifa, M. M., & Saleh, I. (2021). Management accounting systems effectiveness, perceived environmental uncer-tainty and enterprise risk management: Evidence from Jordan. Journal of Accounting & Organizational Change, 17(5), 704–727. https://doi.org/10.1108/JAOC-10-2020-0165

Adam, M., Soliman, Alaa. M., & Mahtab, N. (2023). Measuring enterprise risk management implementation: A multi-faceted approach for the banking sector. The Quarterly Review of Economics and Finance, 87, 244–256. https://doi.org/10.1016/j.qref.2021.01.002

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

Alawattegama, K. K. (2017). The Impact of Enterprise Risk Management on Firm Performance: Evidence from Sri Lankan Banking and Finance Industry. International Journal of Business and Management, 13(1), 225. https://doi.org/10.5539/ijbm.v13n1p225

Alawattegama, K. K. (2018). The Impact of Enterprise Risk Management on Firm Performance: Evidence from Sri Lankan Banking and Finance Industry. International Journal of Business and Management, 13(1), 225. https://doi.org/10.5539/ijbm.v13n1p225

Al-Nimer, M., Abbadi, S. S., Al-Omush, A., & Ahmad, H. (2021). Risk Management Practices and Firm Performance with a Mediating Role of Business Model Innovation. Observations from Jordan. Journal of Risk and Financial Management, 14(3), 113. https://doi.org/10.3390/jrfm14030113

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008

Esther Akinbowale, O., Eckart Klingelhöfer, H., & Fekadu Zerihun, M. (2022). The use of the Balanced Scorecard as a strategic management tool to mitigate cyberfraud in the South African banking industry. Heliyon, 8(12), e12054. https://doi.org/10.1016/j.heliyon.2022.e12054

Gupta, S., Yun, H., Xu, H., & Kim, H. W. (2017). An exploratory study on mobile banking adoption in Indian metro-politan and urban areas: A scenario-based experiment. Information Technology for Development, 23(1), 127–152. https://doi.org/10.1080/02681102.2016.1233855

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Mod-eling (PLS-SEM) (3rd ed.). SAGE. https://lccn.loc.gov/2021004786

Ho, J. C., Wu, C.-G., Lee, C.-S., & Pham, T.-T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63, 101360. https://doi.org/10.1016/j.techsoc.2020.101360

Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment ser-vices: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111–122. https://doi.org/10.1016/j.chb.2017.10.035

Joshi, R., Goel, R., & Garg, S. (2019). A Study on Customers’ Perception on Adoption of Digital Banking in Indian Banking Sector. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3363623

Kaplan, R. S., & Norton, D. P. (1992). The Balanced Scorecard: Measures that Drive Performance.

Kumar, A., Dhingra, S., Batra, V., & Purohit, H. (2020). A Framework of Mobile Banking Adoption in India. Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 40. https://doi.org/10.3390/joitmc6020040

Mbama, C. I., Ezepue, P., Alboul, L., & Beer, M. (2018). Digital banking, customer experience and financial perfor-mance: UK bank managers’ perceptions. Journal of Research in Interactive Marketing, 12(4), 432–451. https://doi.org/10.1108/JRIM-01-2018-0026

Naruetharadhol, P., Ketkaew, C., Hongkanchanapong, N., Thaniswannasri, P., Uengkusolmongkol, T., Prasomthong, S., & Gebsombut, N. (2021). Factors Affecting Sustainable Intention to Use Mobile Banking Services. SAGE Open, 11(3), 215824402110299. https://doi.org/10.1177/21582440211029925

Oyewo, B. (2022). Enterprise risk management and sustainability of banks performance. Journal of Accounting in Emerging Economies, 12(2), 318–344. https://doi.org/10.1108/JAEE-10-2020-0278

Penrose, E. T. (1959). The Theory of the Growth of the Firm. Oxford university press.

Saeidi, P., Saeidi, S. P., Gutierrez, L., Streimikiene, D., Alrasheedi, M., Saeidi, S. P., & Mardani, A. (2021). The influence of enterprise risk management on firm performance with the moderating effect of intellectual capital di-mensions. Economic Research-Ekonomska Istraživanja, 34(1), 122–151. https://doi.org/10.1080/1331677X.2020.1776140

Saputra, I., Murwaningsari, E., & Augustine, Y. (2023). The Role Of Enterprise Risk Management And Digital Trans-formation On Sustainable Banking In Indonesia. Neo Journal of Economy and Social Humanities, 2(1), 17–30. https://doi.org/10.56403/nejesh.v2i1.85

Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile com-merce. International Journal of Information Management, 50, 286–301. https://doi.org/10.1016/j.ijinfomgt.2019.08.008

Shaikh, A. A., Alamoudi, H., Alharthi, M., & Glavee-Geo, R. (2023). Advances in mobile financial services: A review of the literature and future research directions. International Journal of Bank Marketing, 41(1), 1–33. https://doi.org/10.1108/IJBM-06-2021-0230

Sikdar, P., & Makkad, M. (2015). Online banking adoption: A factor validation and satisfaction causation study in the context of Indian banking customers. International Journal of Bank Marketing, 33(6), 760–785. https://doi.org/10.1108/IJBM-11-2014-0161

Songling, Y., Ishtiaq, M., & Anwar, M. (2018). Enterprise Risk Management Practices and Firm Performance, the Me-diating Role of Competitive Advantage and the Moderating Role of Financial Literacy. Journal of Risk and Fi-nancial Management, 11(3), 35. https://doi.org/10.3390/jrfm11030035

Sulistyowati, W. A., Alrajawy, I., Isaac, O., & Ameen, A. (2021). Mobile Banking Adoption—Extending Technology Acceptance Model with Transaction Convenience and Perceived Risk: A Conceptual Framework. In S.-L. Peng, S.-Y. Hsieh, S. Gopalakrishnan, & B. Duraisamy (Eds.), Intelligent Computing and Innovation on Data Sci-ence (Vol. 248, pp. 221–228). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-3153-5_25

Tauringana, V. (2021). Sustainability reporting adoption in developing countries: Managerial perception-based de-terminants evidence from Uganda. Journal of Accounting in Emerging Economies, 11(2), 149–175. https://doi.org/10.1108/JAEE-07-2020-0184

Wanke, P., Azad, Md. A. K., Antunes, J., Tan, Y., & Pimenta, R. (2023). Endogenous and exogenous performance sources in Asian Banking: A hybrid stochastic Multi-Criteria Decision-Making approach based on sign de-composition and transfer entropy. Expert Systems with Applications, 225, 120180. https://doi.org/10.1016/j.eswa.2023.120180

Zaleha Abdul Rasid, S., Ruhana Isa, C., & Khairuzzaman Wan Ismail, W. (2014). Management accounting systems, enterprise risk management and organizational performance in financial institutions. Asian Review of Ac-counting, 22(2), 128–144. https://doi.org/10.1108/ARA-03-2013-0022

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2024 Journal of Economics, Business, and Accountancy Ventura