Robo-Advisor Model Adoption: A Digital Transformation To Accelerate Continuance Usage of Islamic Banking Product

Authors

DOI:

https://doi.org/10.24239/jiebi.v7i2.412.154-176

Keywords:

Robo-Advisor, Digital Transformation, Continuance usage, Islamic Bank

Abstract

As Islamic banking becomes one of vital sectors in driving National economic growth, accelerating its development is prominent. The use of Robo-Advisor in this sector can help Islamic banking increase its existence and market share to compete in a global financial market. This research aims to conduct a model for the adoption of Robo-Advisor in Islamic banking sector to accelerate continuance intention usage of Islamic banking product in Indonesia by exploring the role of sharia financial literacy and halal awareness as mediating variables. This is explanatory research with quantitative and survey method. This research picks Islamic banking users in Indonesia, using quota sampling technique to achieve a representative sample in each province of Indonesia, resulting in 403 respondents. Structural Equation Model (SEM-PLS) is used to analyze the data and the relationship among variables. Empirically, the result revealed that the Robo-Advisor model adoption significantly accelerates the continuance intention usage of Islamic banking product in Indonesia. This research contributes in broadening horizon in terms of Islamic banking continuance usage by proposing integrated model. Furthermore, this research recommends the implementation of Robo-Advisor as a digital transformation for Islamic banking sector to support the growth of Islamic financial industry in Indonesia, remembering that Robo-Advisor is currently not used in either Islamic or conventional banking sectors.

References

Abd Razak, A. H. (2018). Centralisation of corporate governance framework for Is-lamic financial institutions: Is it a worthy cause? ISRA International Journal of Islamic Finance, 10(1), 36–51. https://doi.org/10.1108/IJIF-08-2017-0020

Abdullah, A., Salleh, M. Z. M., Zakaria, M. N., Din, N. M., Aziz, M. I., & Muhammad, M. Z. (2023). Achieving Islamic Financial Literacy in Malaysia: Issues and Challenges (pp. 889–896). https://doi.org/10.1007/978-3-031-08084-5_64

Abdulquadri, A., Mogaji, E., Kieu, T. A., & Nguyen, N. P. (2021). Digital transfor-mation in financial services provision: a Nigerian perspective to the adoption of chatbot. Journal of Enterprising Communi-ties, 15(2), 258–281. https://doi.org/10.1108/JEC-06-2020-0126

Ahmad, G. N., Widyastuti, U., Susanti, S., & Mukhibad, H. (2020). Determinants of the islamic financial literacy. Accounting, 6(6), 961–966. https://doi.org/10.5267/j.ac.2020.7.024

Alam, A. F., & Achjari, D. (2024). Analisis Keberlanjutan Penggunaan Robo Advisor di Indonesia. ABIS: Accounting and Busi-ness Information Systems Journal, 12(2). https://doi.org/10.22146/abis.v12i2.96479

Albaity, M., & Rahman, M. (2019). The inten-tion to use Islamic banking: an explorato-ry study to measure Islamic financial lit-eracy. International Journal of Emerging Markets, 14(5), 988–1012. https://doi.org/10.1108/IJOEM-05-2018-0218

Alshater, M. M., Saba, I., Supriani, I., & Rab-bani, M. R. (2022). Fintech in islamic fi-nance literature: A review. Heliyon, 8(9), e10385. https://doi.org/10.1016/j.heliyon.2022.e10385

Antara, P. M., Musa, R., & Hassan, F. (2016). Bridging Islamic Financial Literacy and Halal Literacy: The Way Forward in Hal-al Ecosystem. Procedia Economics and Fi-nance, 37, 196–202. https://doi.org/10.1016/s2212-5671(16)30113-7

Aristei, D., & Gallo, M. (2025). Financial litera-cy, robo-advising, and the demand for human financial advice: Evidence from Italy. Journal of Behavioral and Experimental Finance, 101125. https://doi.org/10.1016/j.jbef.2025.101125

Ashrafi, D. M. (2023). Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model. Journal of Indonesian Economy and Business, 38(3), 270–301. https://doi.org/10.22146/jieb.v38i3.6242

Aziz, Y. A., & Chok, N. V. (2013). The Role of Halal Awareness, Halal Certification, and Marketing Components in Determining Halal Purchase Intention Among Non-Muslims in Malaysia: A Structural Equa-tion Modeling Approach. Journal of Inter-national Food and Agribusiness Marketing, 25(1), 1–23. https://doi.org/10.1080/08974438.2013.723997

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Patil, P., & Dwivedi, Y. K. (2019). An integrated model for m-banking adoption in Saudi Arabia. International Journal of Bank Marketing, 37(2), 452–478. https://doi.org/10.1108/IJBM-07-2018-0183

Back, C., Morana, S., & Spann, M. (2023). When do robo-advisors make us better investors? The impact of social design el-ements on investor behavior. Journal of Behavioral and Experimental Economics, 103, 101984. https://doi.org/10.1016/j.socec.2023.101984

Badan Pusat Statistik. (2023, November 6). Per-tumbuhan Ekonomi Indonesia triwulan III-2023. Badan Pusat Statistik. https://www.bps.go.id/id/pressrelease/2023/11/06/2000/ekonomi-indonesia-triwulan-iii-2023-tumbuh-4-94-persen%E2%80%93y-on-y-.html

Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147. https://doi.org/10.1037/0003-066X.37.2.122

Bank Indonesia. (2024). Kajian Ekonomi dan Keuangan Syariah Indonesia 2023.

Barile, D., Secundo, G., & Bussoli, C. (2025). Exploring artificial intelligence robo-advisor in banking industry: a platform model. Management Decision, 63(10), 3323–3349. https://doi.org/10.1108/MD-08-2023-1324

Bashir, A. M. (2019). Effect of halal awareness, halal logo and attitude on foreign con-sumers’ purchase intention. British Food Journal, 121(9), 1998–2015. https://doi.org/10.1108/BFJ-01-2019-0011

Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management and Data Systems, 119(7), 1411–1430. https://doi.org/10.1108/IMDS-08-2018-0368

Boonsiritomachai, W., & Pitchayadejanant, K. (2017). Determinants affecting mobile banking adoption by generation Y based on the Unified Theory of Acceptance and Use of Technology Model modified by the Technology Acceptance Model con-cept. Kasetsart Journal of Social Sciences. https://doi.org/10.1016/j.kjss.2017.10.005

Boustani, N. M. (2022). Artificial intelligence impact on banks clients and employees in an Asian developing country. Journal of Asia Business Studies, 16(2), 267–278. https://doi.org/10.1108/JABS-09-2020-0376

Candra Sari, R., Rika Fatimah, P. L., Ilyana, S., & Dwi Hermawan, H. (2022). Augmented reality (AR)-based sharia financial literacy system (AR-SFLS): a new approach to vir-tual sharia financial socialization for young learners. International Journal of Is-lamic and Middle Eastern Finance and Man-agement, 15(1), 48–65. https://doi.org/10.1108/IMEFM-11-2019-0484

Chang, H. H., Fu, C. S., & Jain, H. T. (2016). Modifying UTAUT and innovation diffu-sion theory to reveal online shopping be-havior. Information Development, 32(5), 1757–1773. https://doi.org/10.1177/0266666915623317

Cheng, Y. M. (2021). Will robo-advisors con-tinue? Roles of task-technology fit, net-work externalities, gratifications and flow experience in facilitating continuance in-tention. Kybernetes, 50(6), 1751–1783. https://doi.org/10.1108/K-03-2020-0185

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theo-retical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Dewasiri, N. J., Karunarathne, K. S. S. N., Menon, S., Jayarathne, P. G. S. A., & Rathnasiri, M. S. H. (2023). Fusion of arti-ficial intelligence and blockchain in the banking industry: Current application, adoption, and future challenges. In Trans-formation for Sustainable Business and Man-agement Practices: Exploring the Spectrum of Industry 5.0 (pp. 293–307). Emerald Pub-lishing Limited. https://doi.org/10.1108/978-1-80262-277-520231021

Eren, B. A. (2024). Antecedents of robo-advisor use intention in private pension investments: an emerging market country example. Journal of Financial Services Mar-keting, 29(3), 683–698. https://doi.org/10.1057/s41264-023-00229-5

Ewe, S. Y., Yap, S. F., & Lee, C. K. C. (2015). Network externalities and the perception of innovation characteristics: Mobile banking. Marketing Intelligence and Plan-ning, 33(4), 592–611. https://doi.org/10.1108/MIP-01-2014-0006

Fatima, S., & Chakraborty, M. (2024). Adop-tion of artificial intelligence in financial services: The case of robo-advisors in In-dia. IIMB Management Review, 36(2), 113–125. https://doi.org/10.1016/j.iimb.2024.04.002

Gan, L. Y., Khan, M. T. I., & Liew, T. W. (2021). Understanding consumer’s adop-tion of financial robo‐advisors at the out-break of the COVID‐19 crisis in Malaysia. Financial Planning Review, 4(3). https://doi.org/10.1002/cfp2.1127

Gong, X., Cheung, C. M. K., Zhang, K. Z. K., Chen, C., & Lee, M. K. O. (2020). Cross-Side Network Effects, Brand Equity, and Consumer Loyalty: Evidence from Mobile Payment Market. International Journal of Electronic Commerce, 24(3), 279–304. https://doi.org/10.1080/10864415.2020.1767427

Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Per-formance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Model-ing (PLS-SEM). In SAGE Publications Inc. SAGE Publications Inc.

Hartani, N. H., Ridwan, M., & Asnawi, N. (2020). The moderating role of religiosity to determine the influence of halal awareness and emotional marketing strategy for Shariah based banking in In-donesian. International Journal of Innova-tion, Creativity and Change, 10(10), 373–387. https://api.elsevier.com/content/abstract/scopus_id/85079661351

Hasibuan, I. H., Basri, Y. Z., & Mahfudz, A. A. (2021). The Effect of Religiosity and Maslahah Orientation on Halal Aware-ness, Satisfaction And Loyalty of Con-sumers of Halal Labeled Food. Interna-tional Journal of Science and Society, 3(2), 154–175. https://doi.org/10.54783/ijsoc.v3i2.327

Ibrahim, D., Harun, R., & Mohamed Isa, Z. (2009). A Study on Financial Literacy of Malaysian Degree Students. Canadian Academy of Oriental and Occidental Culture, 5(4), 51–59. https://doi.org/10.3968/j.ccc.1923670020090504.006

Kementerian Keuangan. (2021, August 25). Keuangan Syariah Sangat Berperan dalam Pemulihan Ekonomi Nasional. Kementerian Keuangan RI. Kementerian Keuangan Republik Indonesia. https://fiskal.kemenkeu.go.id/baca/2021/08/25/4308-keuangan-syariah-sangat-berperan-dalam-pemulihan-ekonomi-nasional

Kementerian Keuangan. (2023, January 26). Ciptakan Sumber Pertumbuhan Ekonomi Ba-ru, Wamenkeu: Perdalam Sektor Keuangan Indonesia. Kementerian Keuangan RI. https://www.kemenkeu.go.id/informasi-publik/publikasi/berita-utama/Ciptakan-Sumber-Pertumbuhan-Ekonomi-Baru

Kharisma, D. B., Wiwoho, J., & Arsyad, I. (2025). AI meets Shariah: ensuring robo-advisors for compliance in Islamic mutual funds. Journal of Islamic Accounting and Business Research, 1–14. https://doi.org/10.1108/JIABR-10-2024-0388

Krejcie, R. V., & Morgan, D. W. (1970). De-termining Sample Size for Research Ac-tivities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Kristanto, H., & Gusaptono, H. (2020). The Impact of Financial Literacy on Invest-ment Decisions Between Saving and Credit: Studies on Sharia Bank Customers in the Special Region of Yogyakarta. Journal of Economics and Business, 3(4). https://doi.org/10.31014/aior.1992.03.04.291

Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Hu-man Behavior, 27(3), 1152–1161. https://doi.org/10.1016/j.chb.2010.12.009

Malik, R. F., Hermawan, A., & Asnawi, Y. H. (2019). The Effect of Halal Awareness, Halal Certification and Halal Marketing Toward Halal Purchase Intention of Fast Food Among Muslim Millenials Genera-tion. Russian Journal of Agricultural and Socio-Economic Sciences, 90(6), 76–83. https://doi.org/10.18551/rjoas.2019-06.11

Mansyur, A., & Ali, E. M. T. bin E. (2022). The Adoption of Sharia Fintech Among Mil-lenial in Indonesia: Moderating Effect of Islamic Financial Literacy on UTAUT 2. International Journal of Academic Research in Business and Social Sciences, 12(4). https://doi.org/10.6007/ijarbss/v12-i4/13035

Merhi, M. I. (2016). Towards a framework for online game adoption. Computers in Hu-man Behavior, 60, 253–263. https://doi.org/10.1016/j.chb.2016.02.072

Mohapatra, N., Shekhar, S., Singh, R., Khan, S., Santos, G., & Carvalho, S. (2025). Un-veiling the Nexus Between Use of AI-Enabled Robo-Advisors, Behavioural In-tention and Sustainable Investment Deci-sions Using PLS-SEM. Sustainability, 17(9), 3897. https://doi.org/10.3390/su17093897

Muslichah M., M. M., Abdullah, R., & Abdul Razak, L. (2019). The effect of halal foods awareness on purchase decision with re-ligiosity as a moderating variable. Journal of Islamic Marketing, 11(5), 1091–1104. https://doi.org/10.1108/JIMA-09-2017-0102

Najib, M., & Fahma, F. (2020). Investigating the Adoption of Digital Payment System through an Extended Technology Ac-ceptance Model: an Insight from the In-donesian Small and Medium Enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702–1708. https://doi.org/10.18517/ijaseit.10.4.11616

Otoritas Jasa Keuangan. (2022). Survei Nasional Literasi Dan Inklusi Keuangan Tahun 2022. Otoritas Jasa Keuangan. https://ojk.go.id/id/berita-dan-kegiatan/siaran-pers/Pages/Survei-Nasional-Literasi-dan-Inklusi-Keuangan-Tahun-2022.aspx

Otoritas Jasa Keuangan. (2024a). Outlook Ekonomi dan Keuangan di Tahun 2024. Otoritas Jasa Keuangan. https://www.ojk.go.id/ojk-insti-tute/id/capacitybuilding/upcoming/3983/outlook-ekonomi-dan-keuangan-di-tahun-2024

Otoritas Jasa Keuangan. (2024b). Statistik Per-bankan Syariah: Desember 2023.

Özek, H., & Ferraris, A. (2018). The Role of Self-Awareness and Self-Efficacy on Ca-reer Decision-Making: An Innovative Perspective. In Palgrave Studies of Cross-Disciplinary Business Research, in Associa-tion with EuroMed Academy of Business (pp. 207–229). Springer International Pub-lishing. https://doi.org/10.1007/978-3-319-90945-5_11

Pavković, A., Anđelinović, M., & Mišević, D. (2018). Measuring financial literacy of university students. Croatian Operational Research Review, 9(1), 87–97. https://doi.org/10.17535/crorr.2018.0008

Rahi, S., & Abd Ghani, M. (2021). Examining internet banking user’s continuance in-tention through the lens of technology continuance theory and task technology fit model. Digital Policy, Regulation and Governance, 23(5), 456–474. https://doi.org/10.1108/DPRG-11-2020-0168

Rahi, S., Khan, M. M., & Alghizzawi, M. (2020). Extension of technology continu-ance theory (TCT) with task technology fit (TTF) in the context of Internet bank-ing user continuance intention. Interna-tional Journal of Quality & Reliability Man-agement, 38(4), 986–1004. https://doi.org/10.1108/IJQRM-03-2020-0074

Reher, M., & Sokolinski, S. (2024). Robo advi-sors and access to wealth management. Journal of Financial Economics, 155, 103829. https://doi.org/10.1016/j.jfineco.2024.103829

Robey, D. (1979). User Attitudes and Man-agement Information System Use. Acade-my of Management Journal, 22(3), 527–538. https://doi.org/10.2307/255742

Sari, N. N. (2022). The Use of Technology Ac-ceptance Model to Explain Brand Atti-tude and Loyalty Intention in E-Commerce: The Gamification Case. Asean Marketing Journal, 14(1). https://doi.org/10.21002/amj.v14i1.1151

Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adop-tion and recommendation of mobile wal-let services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Infor-mation Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022

Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Manage-ment Decision, 58(8), 1675–1697. https://doi.org/10.1108/MD-09-2019-1318

Suhartanto, D., Syarief, M. E., Chandra Nugraha, A., Suhaeni, T., Masthura, A., & Amin, H. (2022). Millennial loyalty to-wards artificial intelligence-enabled mo-bile banking: evidence from Indonesian Islamic banks. Journal of Islamic Marketing, 13(9), 1958–1972. https://doi.org/10.1108/JIMA-12-2020-0380

Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137

Tam, C., & Oliveira, T. (2016). Performance impact of mobile banking: using the task-technology fit (TTF) approach. Interna-tional Journal of Bank Marketing, 34(4), 434–457. https://doi.org/10.1108/IJBM-11-2014-0169

Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding FinTech Platform Adop-tion: Impacts of Perceived Value and Per-ceived Risk. Journal of Theoretical and Ap-plied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106

Zakaria, Z., Abdul Majid, M. D., Ahmad, Z., Jusoh, Z., & Zakaria, N. Z. (2018). Influ-ence of Halal certification on customers’ purchase intention. Journal of Fundamental and Applied Sciences, 9(5S), 772. https://doi.org/10.4314/jfas.v9i5s.55

Zhou, T., Lu, Y., & Wang, B. (2010). Integrat-ing TTF and UTAUT to explain mobile banking user adoption. Computers in Hu-man Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013

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2025-12-31

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Robo-Advisor Model Adoption: A Digital Transformation To Accelerate Continuance Usage of Islamic Banking Product. (2025). Jurnal Ilmu Ekonomi Dan Bisnis Islam, 7(2), 154-176. https://doi.org/10.24239/jiebi.v7i2.412.154-176