Bagaimana Mengembangkan Industri Fintech Syariah di Indonesia? Pendekatan Interpretive Structural Model (ISM)
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Published:
Jan 28, 2019
Keywords:
Interpretive Structural Model, Islamic fintech, Islamic finance
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Abstract
Fintech in Indonesia is an untapped market opportunity. As a country with the largest muslim population in the world, the prospect of Islamic fintech in Indonesia is very good. This study tries to answer the problems that occur, strategy, and stakeholders involved in developing Islamic fintech in Indonesia using the Interpretive Structural Model (ISM) approach. The core problem faced in developing the Islamic finance technology industry is the lack of policy instruments that maintain the work process of fintech and the availability of human resources for fintech. The strategy needed in the framework of developing Islamic fintech is the ability to manage and analyze data in the big data era and human resources in digital marketing. For ecosystem aspects or actors involved in developing Islamic fintech in Indonesia, important actors include government or regulators, educational institutions (universities), as well as existing industries (banks and other financial institutions).
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References
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Kanungo, S. & Batnagar, V.V. (2002). Beyond generic models for information system quality: The use of Interpretative Structural Modelling (ISM). Journal of System Research and Behavior Science, 19(2), 531-549.
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Marimin (2004). Pengambilan Keputusan Kreteria Majemuk: Teknik dan Aplikasi. Jakarta, Gramedia Widiasarana Indonesia.
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Pollari, I. (2016). The rise of fintech: Opportunities and challenges. The Finsia Journal of Applied Finance, 3.
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Rusydiana, A.S. (2016). Analisis masalah pengembangan perbankan syariah di Indonesia: Aplikasi metode Analytic Network Process. Esensi: Jurnal Bisnis dan Manajemen, 6(2), 237-246.
Rusydiana, A.S. (2009). Ekonomi Islam Substantif. Jakarta, GP Press.
Sage, A. (1977). Interpretive Structural Modeling: Methodology for Large-Scale Systems. New York, McGraw-Hill.
Saksonova, S. & Merlino, I.K. (2017). Fintech as financial innovation: The possibilities and problems of implementation. European Research Studies Journal, XX(3A), 961-973.
Thakkar, J., Deshmukh, S.G., Gupta, A.D., & Shankar, R. (2006). “Development of a balanced scorecard, an integrated approach of Interpretive Sructural Modeling (ISM) and Analytic Network Process (ANP)”. International Journal of Productivity and Performance Management, 56(1), 25-59.
Todorof, M. (2018). Shariah-compliant fintech in the banking industry. ERA Forum, doi:10.1007/s12027-018-0505-8.
Venkatesh, V.G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in indian apparel retail chains and proposal of risk prioritization model using interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153-167.
Warfield, J.N. (1974). Developing interconnected matrices in structural modeling. IEEE Transactions on System, Man, and Cybernetics, 4(1), 81-87.
Webster, I. & Pizalla, J. (2015). Fintech: Are banks responding appropriately?. EY Publication 2015.
[BI] Bank Indonesia. (2016). Booklet Keuangan Inklusif. Jakarta, Departmen Pengembangan Akses Keuangan dan UMKM Bank Indonesia.
Bolanos, R., Fontela, E., Nenclares, A., & Pastor, P. (2005). Using Interpretive Structural Modelling in strategic decision-making groups. Management Decision, 43(6), 877-895.
Chuen, D.L.K., & Teo, G.S. (2015). Emergence of fintech and the LASIC principles. The Journal of Financial Perspectives: Fintech, Winter 2015, 24-37.
CIBAFI (2018). ‘Evaluating future impacts: Strategic thinking, branding, and financial technologies’. Global Islamic Bankers’ Survey 2018.
Devi, A. & Rusydiana, A.S. (2016). Islamic group lending model (GLM) and financial inclusion. International Journal of Islamic Business Ethics, 1(1), 80-94.
[GIFR] Global Islamic Finance Report (2017a). ‘Islamic finance in the digital age: Fintech revolution’. Global Islamic Finance Report 2017, 282-290.
[GIFR] Global Islamic Finance Report (2017b). ‘Embracing fintech by sharia fraternity’. Global Islamic Finance Report 2017, 291-296.
Godet, M. (1986). Introduction to ‘la prospective’: Seven key ideas and one scenario method. Futures, 18(2), 134-157.
Gorvett, R. & Liu, N. (2007). Using Interpretive Structural Modeling to Identify and Quantify Interactive Risks. Orlando (USA), ASTIN Colloquium.
Hadad, M.D. (2017). Financial Technology (Fintech) di Indonesia. Kuliah Umum tentang Fintech, Indonesia Banking School.
Harrison, R., Jaumandreu, J., Mairesse, J., & Peters, B. (2014). Does innovation stimulate employement? A firm level analysis using comparable micro-data from four European countries. International Journal of Industrial Organization, 35, 29-43.
Hasan, S.M. (2018). Fintech in Indonesia: An Islamic outlook”, article in http://ethiscrowd.com.
Jabeen, F., & Faisal, M.N. (2018), “Imperatives for improving entrepreneurial behavior among females in the UAE: An empirical study and structural model”, Gender in Management: An International Journal, 1754-2413.
Jabeen, F., Faisal, M.N., & Katsioloudes, M.I. (2017). Entrepreneurial mindset and the role of universities as strategic drivers of entrepreneurship evidence from the UAE. Journal of Small Business and Enterprise Development, 24(1), 136-157.
Kanungo, S. & Batnagar, V.V. (2002). Beyond generic models for information system quality: The use of Interpretative Structural Modelling (ISM). Journal of System Research and Behavior Science, 19(2), 531-549.
Lee, D.M. (2007). Structured Decision Making with Interpretive Structural Modelling (ISM). Canada, Sorach Inc.
Li, M. & Yang, J. (2014). Analysis of interrelationships between critical waste factors in office building retrofit projects using Interpretive Structural Modeling. International Journal of Construction Management, 14(1), 15-27.
Marimin (2004). Pengambilan Keputusan Kreteria Majemuk: Teknik dan Aplikasi. Jakarta, Gramedia Widiasarana Indonesia.
Nurfalah, I., Rusydiana, A.S., Laila, N., & Cahyono, E.F. (2018). Early warning to banking crises in the dual financial system in Indonesia: The Markov Switching approach. JKAU: Islamic Economics, 31(2), 133-156.
Pollari, I. (2016). The rise of fintech: Opportunities and challenges. The Finsia Journal of Applied Finance, 3.
Rusydiana, A.S. & Devi, A. (2018). Mengembangkan koperasi syariah di Indonesia: Pendekatan Interpretive Structural Model (ISM). Jurnal Economica, 9(1).
Rusydiana, A.S. & Devi, A. (2017). Analisis pengelolaan dana wakaf uang di Indonesia: Pendekatan metode Analytic Network Process (ANP). Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam, 10(2), 115-133.
Rusydiana, A.S. (2016). Analisis masalah pengembangan perbankan syariah di Indonesia: Aplikasi metode Analytic Network Process. Esensi: Jurnal Bisnis dan Manajemen, 6(2), 237-246.
Rusydiana, A.S. (2009). Ekonomi Islam Substantif. Jakarta, GP Press.
Sage, A. (1977). Interpretive Structural Modeling: Methodology for Large-Scale Systems. New York, McGraw-Hill.
Saksonova, S. & Merlino, I.K. (2017). Fintech as financial innovation: The possibilities and problems of implementation. European Research Studies Journal, XX(3A), 961-973.
Thakkar, J., Deshmukh, S.G., Gupta, A.D., & Shankar, R. (2006). “Development of a balanced scorecard, an integrated approach of Interpretive Sructural Modeling (ISM) and Analytic Network Process (ANP)”. International Journal of Productivity and Performance Management, 56(1), 25-59.
Todorof, M. (2018). Shariah-compliant fintech in the banking industry. ERA Forum, doi:10.1007/s12027-018-0505-8.
Venkatesh, V.G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in indian apparel retail chains and proposal of risk prioritization model using interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153-167.
Warfield, J.N. (1974). Developing interconnected matrices in structural modeling. IEEE Transactions on System, Man, and Cybernetics, 4(1), 81-87.
Webster, I. & Pizalla, J. (2015). Fintech: Are banks responding appropriately?. EY Publication 2015.