How to Boost the Penetration of Mobile Banking Micro-Fisheries Enterprises in the Rural Small Islands Region?
Keywords: Mobile banking, Micro-enterprises, Fisheries, TAM
Abstract
Purpose – The objective of the study was to examine and analyze the determine factors of intention to use mobile banking for micro fisheries enterprises in Kei Islands, eastern Indonesia, using technology adoption model (TAM)
Methodology – We used purposive sampling and surveyed 320 future users of mobile banking in Kei Islands, eastern Indonesia from August to October 2024. Based on questionnaire validation there were 290 sample that fit to be used. Using PLS-SEM for data analysis.
Findings – The study offers valuable insights for the government and banking industry to enhance mobile banking in coastal island fisheries micro-enterprises by improving design effects mobile banking usage because it impacts utility, which is mediated by security and comfort
Originality – The outcome of the study recommends for government to improve literacy of micro-enterprises in small islands region and at the same bank industry can make sure to design mobile banking that offer simplicity but also maintain the security and functionality for not micro-enterprises in the region but also as guidance for region with similar socio-economy and geographical characteristic.
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References
Albastaki, Y. A. (2024). Toward a cashless society: Assessing the acceptance of Bahrain BenefitPay using TAM and SEM. Competitiveness Review, 34(1), 193–207. https://doi.org/10.1108/CR-12-2022-0184
Ali, K. A. A., & Subramanian, R. (2024). Current status of research on mobile banking: An analysis of literature. Vision, 28(1), 7–18. https://doi.org/10.1177/09722629211073268
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Chaouali, W., Ben Yahia, I., Lunardo, R., & Triki, A. (2019). Reconsidering the “what is beautiful is good” effect: When and how design aesthetics affect intentions towards mobile banking applications. International Journal of Bank Marketing, 37(7), 1525–1546. https://doi.org/10.1108/IJBM-12-2018-0337
Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43(8), 950–963. https://doi.org/10.1016/j.im.2006.08.009
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Farooq, M., & Radovic-Markovic, M. (2016). Modeling entrepreneurial education and entrepreneurial skills as antecedents of intention towards entrepreneurial behaviour in single mothers: A PLS-SEM approach. In Entrepreneurship: Types, Current Trends and Future Perspectives (pp. 198–216).
Fernando, E., Meiyarni, Ikhsan, R. B., Daniel, H., Halim, S. K., Heryatno, R., Ayal, R., Hidayat, D., Suci, A. K., & Sistarani, M. (2021). 2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE).
Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601–620. https://doi.org/10.1108/02635570610666403
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, Article 7. https://doi.org/10.17705/1CAIS.00407
Hair, J. F., Jr., Anderson, R. E., Babin, B. J., & Black, W. C. (2013). Multivariate data analysis (Pearson New International Ed.). Pearson Education UK.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
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
Husna, N., Novita, D., Kharisma, O., Ayuning, N. W., & Mundarsih, M. (2021). Income and net profit of culinary MSMEs in Bandar Lampung before and after using fintech payments. Jurnal Manajemen dan Bisnis Performa, 18(1), 14–18.
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212. https://doi.org/10.1016/j.techsoc.2019.101212
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
Kumar, J., & Rani, V. (2024). Investigating the dynamics of FinTech adoption: An empirical study from the perspective of mobile banking. Journal of Economic and Administrative Sciences. https://doi.org/10.1108/JEAS-12-2023-0334
Ladhari, R. (2009). Service quality, emotional satisfaction, and behavioural intentions: A study in the hotel industry. Managing Service Quality, 19(3), 308–331. https://doi.org/10.1108/09604520910955320
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/10.1016/j.dss.2010.02.008
Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing - ESIC, 21(1), 25–38.
Musa, H. G., Fatmawati, I., Nuryakin, N., & Suyanto, M. (2024). Marketing research trends using technology acceptance model (TAM): A comprehensive review of researches (2002–2022). Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2329375
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). https://doi.org/10.1177/21582440211029925
Ngangun, T. A., Pentury, F., Teniwut, R. M. K., Hamid, S. K., Rahantoknam, M. A., Hasyim, C. L., & Teniwut, W. A. (2024). Preference and literacy: Fishermen and marine farmers in small islands region to use fintech. Jurnal Riset Bisnis dan Manajemen, 17(2), 95–104.
Nugraha, D. P., Setiawan, B., Nathan, R. J., & Fekete-Farkas, M. (2022). Fintech adoption drivers for innovation for SMEs in Indonesia. Journal of Open Innovation, 8(4), 1–16. https://doi.org/10.3390/joitmc8040208
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
Pentury, F. (2021). The role of financing accessibility on boosting micro scale coastal communities’ fisheries-related business activities: Case study from Kei Islands. Agrikan: Jurnal Agribisnis Perikanan, 14(2), 292–299.
Pentury, F. (2023). The role of knowledge and penetration of fintech services in improving MSMEs of fishermen and marine farmers in remote small islands region. Jurnal Manajemen Teori dan Terapan (Online), 16(1), 23–37. https://doi.org/10.20473/jmtt.v16i1.43743
Prayudi, I. G., Sukaatmadja, I. P. G., Yasa, N. N. K., & Giantari, I. G. A. K. (2022). The role of trust in mediating the effect of perception of ease of use and perception of usefulness on intention to reuse the mobile banking service. International Research Journal of Management, IT and Social Sciences, 9(4), 482–493. https://doi.org/10.21744/irjmis.v9n4.2102
Qatawneh, A. M., & Makhlouf, M. H. (2025). Influence of smart mobile banking services on senior banks’ clients’ intention to use: Moderating role of digital accounting. Global Knowledge, Memory and Communication, 74(3/4), 1028–1044. https://doi.org/10.1108/GKMC-01-2023-0018
Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732. https://doi.org/10.1016/j.compedu.2019.103732
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44–65. https://doi.org/10.1504/IJECRM.2017.086751
Rizal, M., Maulina, E., & Kostini, N. (2019). Fintech sebagai salah satu solusi pembiayaan bagi UMKM. AdBispreneur: Jurnal Pemikiran dan Penelitian Administrasi Bisnis dan Kewirausahaan, 3(2), 89–100.
Robbana, A., Akbar, M. A., & Mohd, M. A. B. (2025). A structural equation modeling approach to assess the Algerian Zakat payers’ acceptability and adoption of a Zakat fintech-based model proposed. Journal of Islamic Accounting and Business Research. https://doi.org/10.1108/JIABR-09-2024-0352
Sampaio, C. H., Ladeira, W. J., & Santini, F. D. O. (2017). Apps for mobile banking and customer satisfaction: A cross-cultural study. International Journal of Bank Marketing, 35(7), 1133–1153. https://doi.org/10.1108/IJBM-09-2015-0146
Shams, G., Rehman, M. A., Samad, S., & Oikarinen, E.-L. (2020). Exploring customer’s mobile banking experiences and expectations among generations X, Y and Z. Journal of Financial Services Marketing, 25(1–2), 1–13. https://doi.org/10.1057/s41264-020-00071-z
Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354. https://doi.org/10.1016/j.chb.2009.06.001
Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting with Computers, 13(2), 127–145. https://doi.org/10.1016/S0953-5438(00)00031-X
Ubam, E., Hipiny, I., & Ujir, H. (2021). 2021 International Conference on Electrical Engineering and Informatics (ICEEI).
Vaithilingam, S., Nair, M., & Guru, B. K. (2013). Do trust and security matter for the development of m-banking? Evidence from a developing country. Journal of Asia-Pacific Business, 14(1), 4–24. https://doi.org/10.1080/10599231.2013.728402
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science, 30(4), 362–375. https://doi.org/10.1177/009207002236911
Zhao, H., Khaliq, N., Li, C., Rehman, F. U., & Popp, J. (2024). Exploring trust determinants influencing the intention to use fintech via SEM approach: Evidence from Pakistan. Heliyon, 10(8), e29716. https://doi.org/10.1016/j.heliyon.2024.e29716
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013
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