Factors Determining Intention to Use Banking Technology in Indonesian Islamic Microfinance |
WIBOWO, Kartiko Adi
(Universitas Islam Indonesia)
ISMAIL, Abdul Ghafar (Islamic Financial Economics, Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia) TOHIRIN, Achmad (Faculty of Business and Economics, Universitas Islam Indonesia) SRIYANA, Jaka (Faculty of Business and Economics, Universitas Islam Indonesia) |
1 | Aivazian, V. A., Callen, J. L., Chan, M. W. L., & Mountain, D. C. (2013). Economies of Scale Versus Technological Change in the Natural Gas Transmission Industry. Journal The Review of Economics and Statistics, 69(3), 556-561. |
2 | Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior And Human Decision Processes, 53(1), 51-58. |
3 | Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29(2), 130-141. https://doi.org/10.1016/j.technovation.2008.07.004 DOI |
4 | Bashir, I., & Madhavaiah, C. (2015). Trust, Social Influence, Self-Efficacy, Perceived Risk, and Internet Banking Acceptance: An Extension of Technology Acceptance Model in Indian Context. Metamorphosis: A Journal of Management Research, 14(1), 25-38. https://doi.org/10.1177/0972622520150105 DOI |
5 | Baumers, M., Dickens, P., Tuck, C., & Hague, R. (2016). The cost of additive manufacturing: Machine productivity, economies of scale, and technology-push. Technological Forecasting and Social Change, 102, 193-201. https://doi.org/10.1016/j.techfore.2015.02.015 DOI |
6 | Bessen, J. (2002). Technology adoption costs and productivity growth: The transition to information technology. Journal of Economic Literature, 5(2), 443-469. https://doi.org/10.1006/redy.2001.0152 DOI |
7 | Bilgihan, A., Okumus, F., Nusair, K. K., & Kwun, D. J. W. (2011). Information technology applications and competitive advantage in hotel companies. Journal of Hospitality and Tourism Technology, 2(2), 139-153. https://doi.org/10.1108/17579881111154245 DOI |
8 | Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Earlbaum Associates |
9 | Chin, W. (1998). Commentary: Issues and Opinion on Structural Equation Modeling. MIS Quarterly, 22(1), Vii-Xvi. Retrieved July 9, 2020, from http://www.jstor.org/stable/249674 |
10 | Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008 DOI |
11 | Diamantopoulos, A., & Siguaw, J. A. (2006). Formative Versus Reflective Indicators in Organizational Measure Development : A Comparison and Empirical Illustration. British Journal of Management, 17, 263-282. https://doi.org/10.1111/j.1467-8551.2006.00500.x DOI |
12 | Elberfeld, W., & Gotz, G. (2002). Market size, technology choice, and market structure. German Economic Review, 3(1), 25-41. https://doi.org/10.1111/1468-0475.00050 DOI |
13 | Gold, A. H., & Arvind Malhotra, A. H. S. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. DOI |
14 | Flor, C. R., & Hansen, S. L. (2013). Technological advances and the decision to invest. Ann Finance, 9(3), 383-420. https://doi.org/10.1007/s10436-012-0191-4 DOI |
15 | Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388. |
16 | Furst, K., Lang, W. W., & Nolle, D. E. (2002). Internet banking. Journal of Financial Services Research, 22(1-2), 95-117. DOI |
17 | Hair, Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications. |
18 | Hair Jr, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). SEM: An introduction. Multivariate data analysis: A global perspective, 5(6), 629-686. |
19 | Hair, Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121. DOI |
20 | Hannan, T. H., & Mcdowell, J. M. (2014). The Impact of Technology Adoption on Market Structure. The Review of Economics Economics and Statistics, 72(1), 164-168. DOI |
21 | Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. University of Massachusetts Amherst |
22 | Hudaefi, F. A., & Noordin, K. (2019). Harmonizing and constructing an integrated maqasid al- Shariah index for measuring the performance of Islamic banks. ISRA International Journal of Islamic Finance. https://doi.org/10.1108/ijif-01-2018-0003 DOI |
23 | Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Academy of Marketing Science. Journal, 43(1), 115. DOI |
24 | Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277-319. DOI |
25 | Huda, M. Q., Hidayah, N. A., & Putra, S. J. (2016). A study of social technology use in State Islamic University (UIN) Syarif Hidayatullah Jakarta. In: Cyber and IT Service Management, International Conference (pp. 1-6). |
26 | Istijanto, (2009). Practical Applications of Marketing Research. Jakarta, Indonesia: Gramedia Pustaka Utama. |
27 | Kumar, G., & Shenbagaraman, V. M. (2017). The customers' perception of mobile banking adoption in Chennai City. An empirical assessment of an extended technology acceptance model. International Journal of Business Information Systems, 26(1), 46-65. https://doi.org/10.1504/IJBIS.2017.086056 DOI |
28 | Lee, J. W., Becker, K., & Potluri, R. M. (2018). Antecedents of Corporate Adoption of Social Media and the Role of the Technology Acceptance Model in the Path. Journal of Asian Finance, Economics and Business, 3(2), 67-76. https://doi.org/10.13106/jafeb.2016.vol3.no2.67. DOI |
29 | Lien, N. T. K., Doan, T. R. T., & Bui, T. N. (2020). Fintech and banking: Evidence from Vietnam. Journal of Asian Finance, Economics and Business, 7(9), 419-426. https://doi.org/10.13106/jafeb.2020.vol7.no9.419 DOI |
30 | Malhotra, Y., & Galletta, D. F. (1999). Extending the Technology Acceptance Model to account for social influence: Theoretical bases and empirical validation. In: Proceedings of the Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.1999.772658 |
31 | Mitchell, M. F. (2002). Technological change and the scale of production. Journal of Economic Literature, 5(2), 477-488. https://doi.org/10.1006/redy.2002.0171 DOI |
32 | Muafi, M. (2003). The Effect of Employee Spiritual Motivation on Religious Performance: An Empirical Study in the Rungkut Industrial Area, Surabaya. Journal of Siasat Bisnis, 1(8), 1. DOI |
33 | Rahi, S. (2017). Predicting customer's intentions to use internet banking: the role of technology acceptance model (TAM) in e-banking. Management Science Letters, 7, 513-524. https://doi.org/10.5267/j.msl.2017.8.004 DOI |
34 | Rahmawati, A. (2012). Behavior Model of Internet Banking Acceptance in Islamic Banks: The Role of Spiritual Motivation. Sunan Ampel Islamic University. Retrieved December 18, 2019 from http://digilib.uinsby.ac.id/id/eprint/7660 |
35 | Rangkuti, F. (2005). SWOT Analysis of Business Concept Mechanism Techniques. Jakarta, Indonesia: Gramedia Pustaka Utama. |
36 | Rifai, S., Asakdiyah, S., & Setyawan, R. R. (2019). Analysis of Acceptance of Banking System Based on Technology Readiness and Acceptance Model in Sharia Rural Bank of Bangun Drajat Warga at Yogyakarta Indonesia. Perisai : Islamic Banking and Finance Journal, 3(1), 57. https://doi.org/10.21070/perisai.v3i1.2102 DOI |
37 | Rizky, S. (2017). Islamic Maqashid Application in the Field of Islamic Banking. Jurnal Ekonomi dan Keuangan Syariah, 1(2), 231-245. https://doi.org/10.1017/CBO9781107415324.004 DOI |
38 | Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196-202. https://doi.org/10.1057/s41270-019-00058-3 DOI |
39 | Saji, T. G., & Paul, D. (2018). Behavioral Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model. Metamorphosis: A Journal of Management Research, 17(2), 111-119. https://doi.org/10.1177/0972622518792802 DOI |
40 | Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15(3), 325. https://doi.org/10.1086/209170 DOI |
41 | Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. https://doi.org/10.1007/978-3-319-05542-8_15-1 |
42 | Suseno P. (2008). Analysis of efficiency and economies of scale in the Islamic banking industry in Indonesia. Journal of Islamic and Economics, 2 (1), 35-55 |
43 | Sutton, J, (2001). Technology and Market Structure: Theory and History. Cambride, MA: MIT Press |
44 | Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived ease of use, perceived usefulness, perceived security and intention to use e-filing: The role of technology readiness. Journal of Asian Finance, Economics and Business, 7(9), 537-547. https://doi.org/10.13106/jafeb.2020.vol7.no9.537 DOI |
45 | Tangke, N. (2004). Acceptance Analysis of the Application of Computer Assisted Audit Techniques Using the Technology Acceptance Model (TAM) at the Indonesian Financial Audit Board. Jurnal Akuntansi dan Keuangan, 6(1), Mei: 10-28. |
46 | Weeds, H. (2012). Superstars and the long tail: The impact of technology on the market structure in media industries. Information Economics and Policy, 24(1), 60-68. https://doi.org/10.1016/j.infoecopol.2012.01.008 DOI |
47 | Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 425-478. DOI |