Developing BSI Agent Networks to Strengthen Islamic Banking Financial Inclusion: Insights from an Analytic Network Process Study

Authors

  • Ismul Fakhri Lubis Universitas Islam Negeri Sumatera Utara
  • Azhari Akmal Tarigan Universitas Islam Negeri Sumatera Utara
  • Andri Soemitra Universitas Islam Negeri Sumatera Utara
  • Muhammad Rizal Universitas Negeri Medan
  • Kaswinata Kaswinata STEBIS Al Ulum

DOI:

https://doi.org/10.55583/invest.v7i1.2264

Keywords:

Bank Syariah Indonesia Agents, Islamic Banking, Financial Inclusion, Analytic Network Process, Agent Banking

Abstract

This study examines strategies for developing Islamic banking financial inclusion services through Bank Syariah Indonesia (BSI) Agents as extended outlets for reaching underserved communities. Despite Indonesia’s large Muslim population, the outreach and service quality of Islamic banking remain limited compared to conventional banks, driven by human resource constraints, unattractive incentive structures, limited product and service features, aggressive competition from conventional bank agents, and inadequate infrastructure in remote areas. To address these challenges, this study employs the Analytic Network Process (ANP) using a qualitative approach based on expert judgment. Primary data were collected through in-depth interviews with five expert informants comprising academics, BSI practitioners, and regulators. Data collection involved observation, interviews, questionnaires, documentation, and literature review, and the analysis was conducted using the Super Decisions software. Kendall’s Coefficient of Concordance (W) was applied to assess the level of agreement among experts. The results indicate that the most critical constraints are low employee awareness, limited agent competence, unattractive incentive structures, and infrastructure limitations in remote areas. Priority solutions include increasing dedicated human resources for agent management, integrating agent performance into key performance indicators (KPIs), expanding product and service features, and strengthening below-the-line promotion. At the strategic level, the findings highlight the importance of strengthening human resources, developing robust and user-friendly digital agent platforms, and implementing cluster-based agent management. The Kendall’s W values indicate a moderate level of expert agreement, supporting the robustness of the ANP results. This study contributes to the literature on Islamic banking and financial inclusion by providing empirical, strategy-oriented insights into the development of agent-based Islamic banking services. The findings offer practical implications for banks, regulators, and policymakers seeking to strengthen inclusive, sustainable, and competitive Islamic banking ecosystems

References

Abdul Hadi, N., & Muwazir, M. R. (2021). Islamic banking selection criteria: A multi-ethnic perspective. Journal of Islamic Marketing, 12(5), 1063–1078. https://doi.org/10.1108/JIMA-02-2019-0033

Ali, M. M., Devi, A., Furqani, H., & Hamzah, H. (2020). Islamic financial inclusion determinants in Indonesia: An ANP approach. International Journal of Islamic and Middle Eastern Finance and Management, 13(4), 727–747. https://doi.org/10.1108/IMEFM-01-2019-0007

Ali, M. M., Devi, A., Sakti, M. R. P., & Furqani, H. (2020). Determinants of Islamic financial exclusion in Indonesia. Journal of Islamic Monetary Economics and Finance, 6(2), 373–402. https://doi.org/10.21098/jimf.v6i2.1093

Allen, F., Demirgüç-Kunt, A., Klapper, L., & Martinez Peria, M. S. (2016). The foundations of financial inclusion: Understanding ownership and use of formal accounts. Journal of Financial Intermediation, 27, 1–30. https://doi.org/10.1016/j.jfi.2015.12.003

Asutay, M. (2015). Islamic finance: Principles, institutions and development. Palgrave Macmillan.

Beck, T., Demirgüç-Kunt, A., & Merrouche, O. (2013). Islamic vs. conventional banking: Business model, efficiency and stability. Journal of Banking & Finance, 37(2), 433–447. https://doi.org/10.1016/j.jbankfin.2012.09.016

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications.

Demirgüç-Kunt, A., Martinez Peria, M. S., Singer, D., & Oudheusden, P. V. (2018). The Global Findex Database 2017: Measuring financial inclusion and the fintech revolution. World Bank.

Dusuki, A. W., & Abdullah, N. I. (2007). Why do Malaysian customers patronise Islamic banks? International Journal of Bank Marketing, 25(3), 142–160. https://doi.org/10.1108/02652320710739850

Kurniawan, A., Haryanto, T., & Nugroho, L. (2024). Development of Indonesian Islamic banking financial inclusion strategy using predictive analytics and machine learning. In 2024 International Conference on Sustainable Islamic Business and Finance (SIBF) (pp. 216–220). IEEE. https://doi.org/10.1109/SIBF63788.2024.10883861

Legendre, P. (2010). Coefficient of concordance. In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 164–169). Sage Publications.

Lyman, T., Ivatury, G., & Staschen, S. (2006). Use of agents in branchless banking for the poor: Rewards, risks, and regulation (CGAP Focus Note No. 38). CGAP.

Mas, I., & Radcliffe, D. (2011). Scaling mobile money. Journal of Payments Strategy & Systems, 5(3), 298–315.

Mohieldin, M., Iqbal, Z., Rostom, A., & Fu, X. (2012). The role of Islamic finance in enhancing financial inclusion in OIC countries. Islamic Economic Studies, 20(2), 55–120.

Otoritas Jasa Keuangan. (2023). Indeks inklusi dan literasi keuangan Indonesia. OJK.

Rusydiana, A. S., & Hasib, F. F. (2019). Islamic banking selection criteria: Case in Indonesia using Analytic Network Process. Economica: Jurnal Ekonomi Islam, 10(1), 165–188. https://doi.org/10.21580/economica.2019.10.1.2846

Saini, Y., Bick, G., & Abdulla, L. (2011). Consumer awareness and usage of Islamic banking products in South Africa. South African Journal of Economic and Management Sciences, 14(3), 298–313. https://doi.org/10.4102/sajems.v14i3.193

Saaty, T. L. (2005). Theory and applications of the Analytic Network Process: Decision making with benefits, opportunities, costs, and risks. RWS Publications.

Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the Analytic Network Process (2nd ed.). Springer.

Schmidt, R. C. (1997). Managing Delphi surveys using nonparametric statistical techniques. Decision Sciences, 28(3), 763–774. https://doi.org/10.1111/j.1540-5915.1997.tb01330.x

Siegel, S., & Castellan, N. J. (1988). Nonparametric statistics for the behavioral sciences (2nd ed.). McGraw-Hill.

Sipahi, S., & Timor, M. (2010). The analytic hierarchy process and analytic network process: An overview of applications. Management Decision, 48(5), 775–808. https://doi.org/10.1108/00251741011043920

Taherdoost, H., & Madanchian, M. (2023). Analytic Network Process (ANP) method: A comprehensive review of applications, advantages, and limitations. Journal of Data Science and Intelligent Systems, 1(1), 12–18. https://doi.org/10.47852/bonviewJDSIS3202885

Widiastuti, T., Robani, A., Sukmaningrum, P. S., Mawardi, I., Ningsih, S., Herianingrum, S., & Al-Mustofa, M. U. (2022). Integrating sustainable Islamic social finance: An Analytical Network Process using the Benefit Opportunity Cost Risk (ANP BOCR) framework: The case of Indonesia. PLOS ONE, 17(5), Article e0269039. https://doi.org/10.1371/journal.pone.0269039

World Bank. (2022). Financial inclusion overview. World Bank Group.

Yanıkkaya, H., & Pabuçcu, Y. U. (2017). Causes and solutions for the stagnation of Islamic banking in Turkey. ISRA International Journal of Islamic Finance, 9(1), 43–61. https://doi.org/10.1108/IJIF-07-2017-005

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Published

2026-05-28

How to Cite

Lubis, I. F., Azhari Akmal Tarigan, Soemitra, A., Rizal, M., & Kaswinata, K. (2026). Developing BSI Agent Networks to Strengthen Islamic Banking Financial Inclusion: Insights from an Analytic Network Process Study. INVEST : Jurnal Inovasi Bisnis Dan Akuntansi, 7(1), 421-436. https://doi.org/10.55583/invest.v7i1.2264