Digitalization and Perceived Financial Efficiency in Rural Banks: Evidence from Employees of PT BPR Dana Raya, North Sulawesi
Abstract
Digital acceleration is a policy pillar for Indonesia's rural banks (Bank Perekonomian Rakyat, BPR), while new IT governance requirements add fixed costs to very small institutions. This study tests whether the digitalization employees experience in their work is associated with their assessment of the bank's financial efficiency. A cross-sectional survey of 40 permanent employees of PT BPR Dana Raya, Manado, was conducted in June–July 2026 and analysed with OLS regression. Both scales were reliable (α = 0.891 and 0.876). Digitalization was positively associated with perceived financial efficiency (B = 0.684; β = 0.688; t = 5.842; p < 0.001), explaining 47.3% of its variance. Because all respondents work in one bank, the variation analysed reflects differences in employees' experience of digital systems, not differences in digitalization between banks. The estimate cannot be read as a causal effect on the cost-to-income ratio (BOPO), and single-source measurement and item-wording overlap are likely to inflate it.
Keywords
Full Text:
PDFReferences
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. The Leadership Quarterly, 21(6), 1086–1120. https://doi.org/10.1016/j.leaqua.2010.10.010
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Beccalli, E. (2007). Does IT investment improve bank performance? Evidence from Europe. Journal of Banking & Finance, 31(7), 2205–2230.
Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98(2), 175–212. https://doi.org/10.1016/S0377-2217(96)00342-6
Berger, A. N., & Mester, L. J. (1997). Inside the black box: What explains differences in the efficiencies of financial institutions? Journal of Banking & Finance, 21(7), 895–947. https://doi.org/10.1016/S0378-4266(97)00010-1
Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169–196. https://doi.org/10.2307/3250983
Brynjolfsson, E. (1993). The productivity paradox of information technology. Communications of the ACM, 36(12), 66–77. https://doi.org/10.1145/163298.163309
Brynjolfsson, E., & Hitt, L. (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541–558. https://doi.org/10.1287/mnsc.42.4.541
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gobble, M. M. (2018). Digitalization, digitization, and innovation. Research-Technology Management, 61(4), 56–59.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Lee, C.-C., Li, X., Yu, C.-H., & Zhao, J. (2021). Does fintech innovation improve bank efficiency? Evidence from China's banking industry. International Review of Economics & Finance, 74, 468–483. https://doi.org/10.1016/j.iref.2021.03.009
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322. https://doi.org/10.2307/25148636
Otoritas Jasa Keuangan. (2024). Roadmap pengembangan dan penguatan industri BPR dan BPRS (RP2B) 2024–2027. https://ojk.go.id/id/Publikasi/Roadmap-dan-Pedoman/Perbankan/Pages/Roadmap-Pengembangan-dan-Penguatan-Industri-BPR-dan-BPRS-(RP2B)-2024---2027.aspx
Otoritas Jasa Keuangan. (2025). Peraturan Otoritas Jasa Keuangan Nomor 34 Tahun 2025 tentang Penyelenggaraan Teknologi Informasi oleh Bank Perekonomian Rakyat dan Bank Perekonomian Rakyat Syariah. https://ojk.go.id/id/regulasi/Pages/POJK-34-Tahun-2025-Penyelenggaraan-Teknologi-Informasi-oleh-Bank-Perekonomian-Rakyat-dan-Bank-Perekonomian-Rakyat-Syariah.aspx
Phan, D. H. B., Narayan, P. K., Rahman, R. E., & Hutabarat, A. R. (2020). Do financial technology firms influence bank performance? Pacific-Basin Finance Journal, 62, 101210. https://doi.org/10.1016/j.pacfin.2019.101210
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wang, Y., Xiuping, S., & Zhang, Q. (2021). Can fintech improve the efficiency of commercial banks? An analysis based on big data. Research in International Business and Finance, 55, 101338. https://doi.org/10.1016/j.ribaf.2020.101338
DOI: https://doi.org/10.5281/zenodo.23984373
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Stevie Alan Lasut

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN : 3025-6704





