MUSLIM MILLENNIAL’S INTENTION OF DONATING FOR CHARITY USING FINTECH PLATFORM

  • Farokhah Muzayinatun Niswah University of Indonesia, Indonesia
  • Lu'liyatul Mutmainah University of Indonesia, Indonesia
  • Diah Ayu Legowati University of Indonesia, Indonesia
Keywords: fintech, donation, millennial, intention

Abstract

Financial Technology (fintech) has been a part of human life. Fintech becomes a solution of human needs without limits of space and time. Fintech makes it easy for people especially millennials to make donation. This study aims to explore the factors that influence Muslim millennial’s intention in giving donation through fintech. This study uses an integration model of Technology Acceptance Model (TAM) and Theory of Planned  Behavior (TPB). Online survey is used in this research including 115 Muslim millennials as sample. Data analized by Structural Equation Model (SEM) using Smart PLS. The results indicate that Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) have no significant effect on Attitude Towards Usage (ATU), Attitude Towards Usage (ATU) has no significant effect on Behavioral Intention (BI), Perceived Usefullness (PU), Subjective Norm (SN) and Perceived Behavioral Control (PBC) significantly have a positive effect on Behavioral Intention (BI). Overall fintech improves Muslim millennial’s intention to make donation easily and almost all of respondents know about fintech, even not all of the use fintech to donate. This research contributes both theoretically and practically.

References

Accenture. (2012). Ready for Indonesia’s Digital Future?. Retrieved from http://ict4ngo.com/wp-content/uploads/Ready-for-Indonesias-Digital-Future-Accenture.pdf

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes 50, 179-211. Retrieved from https://doi.org/10.1016/0749-5978(91)90020-T

Asfarina, M., Ascarya., Beik, I.S. (2019). Classical and Contemporary Fiqh Approaches to Re-Estimating the Zakat Potential in Indonesia. Journal of Islamic Monetary Economics and Finance, 5(2), 387-419. Retrieved from https://doi.org/10.21098/jimf.v5i2.1068

Bradford, S. C. (2012). Crowdfunding and the Federal Securities Laws. Columbia Business Law Review, 1-150. Retrieved from https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1118&context=lawfacpub

Charities Aid Foundation. (2018). CAF World Giving Index 2018 A Global View of Giving Trends. Retrieved from https://www.cafonline.org/about-us/publications/2018-publications/caf-world-giving-index-2018

Chen, Y., Dai, R., Yao, J., Li., Y. (2019). Donate Time or Money? The Determints of Donation Intention in Online Crowdfunding. Sustainability, 11, 4269, 1-21. Retrieved from https://doi.org/10.3390/su11164269

Chuang, L. M., Liu, C. C., & Kao, H. K. (2016). The Adoption of Fintech Service: TAM Perspective. International Journal of Management and Administrative Science (IJMAS), 3(7), 1-15. Retrieved from https://www.ijmas.org/vol3no72016.htm

Dapp, T., Slomka, L., AG, D. B., & Hoffmann, R. (2014). Fintech–The digital (r) evolution in the financial sector. Deutsche Bank Research”, Frankfurt am Main. Retrieved from http://www.dbresearch.com/PROD/RPS_EN-PROD/PROD0000000000451941/Fintech_%E2%80%93_The_digital_%28r%29evolution_in_the_financia.pdf

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Management Information Systems Research Center, 13(3), 319-340. Retrieved from https://doi.org/10.2307/249008

Fenwick, M., McCahery, J.A., & Vermeulen, E.PM. (2017). Fintech and the Financing of Entrepreneurs: From Crowdfunding to Marketplace Lending. ECGI Working Paper Series in Law. ISSN 2213-9419 Retrieved from http://ssrn.com/abstract=2967891

Financial Stability Board. (2019). FinTech and Market Structure in Financial Services: Market Developments and Potential Financial Stability Implications. Retrieved from https://www.fsb.org/wp-content/uploads/P140219.pdf

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, Behavior: An Introduction to Theory on Research. Addison-Wesley

Gujarati, D. N. (2004). Basic econometrics, Fourth Edition. The McGraw-Hill Companies.

Gulamhuseinwala, I., Bull, T., & Lewis, S. (2015). FinTech is gaining traction and young, high-income users are the early adopters. Journal of Financial Perspectives, 3(3). Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3083976

GSM Association. (2019). Connected Society, The State of Mobile Internet Connectivity 2019. Retrieved from https://www.gsma.com/mobilefordevelopment/wp-content/uploads/2019/07/GSMA-State-of-Mobile-Internet-Connectivity-Report-2019.pdf

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433. Retrieved from https://link.springer.com/article/10.1007/s11747-011-0261-6

Hair, J.F, 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. Retrieved from https://www.emeraldinsight.com/doi/abs/10.1108/EBR-10-2013-0128

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20. Retrieved from https://www.emeraldinsight.com/doi/pdfplus/10.1108/IMDS-09-2015-0382.

Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/(SICI)1097-0266(199902)20:2%3C195::AID-SMJ13%3E3.0.CO;2-7

KPMG. (2019). The Pulse of Fintech 2019. Retrieved from https://kpmg.com/fintechpulse

Kim, Y., Park, Y.J., Choi, J., & Yeon, J. (2016). The Adoption of Mobile Payment Service for “Fintech”. International Journal of Applied Engineering Research, 11 (2), 1058-1061. Retrieved from https://pdfs.semanticscholar.org/2c96/8789b918883f6f189943f325b44aa69c9b9c.pdf

Langley, P. (2016). Crowdfunding in the United Kingdom: A cultural economy. Economic geography, 92(3), 301-321. Retrieved from https://www.tandfonline.com/doi/abs/10.1080/00130095.2015.1133233?casa_token=bCB_VZhRAGQAAAAA:zE5_NgR_iLD2qZgCxjk31y--tlSEJ6mfQyQn9PRQlU7Eo2pH4OrgLnx9J8d3ic95SPM5rn01AIPdyQ

Langley, P., & Leyshon, A. (2017). Capitalizing on the crowd: The monetary and financial ecologies of crowdfunding. Environment and Planning A, 49(5), 1019-1039. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/0308518X16687556?casa_token=Swf-QYxQG68AAAAA:iGTlsEjKM82IMl6jZzvPop0mmqrkFzapvMH-ena38_6pwfX4MM9UDcL3G3l0ha5tA76k5QLytqU

Leong, K., & Sung, A. (2018). Fintech: What Is It and How Use Technologies to Create Business Value in Fintech Way?. International Journal of Innovation, Management and Technology, 9(2), 74-78. Retrieved from https://doi.org/10.18178/ijimt.2018.9.2.791

Mannheim, K. (1952). Essays on the sociology of knowledge.

Oxford, UK: Oxford University Press. Retrieved from https://doi.org/10.5840/thought195328264

McKinsey&Company. (2016). Unlocking Indonesia’s Digital Opportunity. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Locations/Asia/Indonesia/Our%20Insights/Unlocking%20Indonesias%20digital%20opportunity/Unlocking_Indonesias_digital_opportunity.ashx

Muzdalifa, I., Rahma, I.A., & Novalia, B.G. (2018). Peran Fintech dalam Meningkatkan Keuangan Inklusif pada UMKM di Indonesia (Pendekatan Keuangan Syariah). Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah, 3(1). Retrieved from http://journal.um-surabaya.ac.id/index.php/Mas/article/view/1618/1306

Nasution, M.E., & Usman, H. (2007). Proses Penelitian Kuantitatif. Jakarta: Lembaga Penerbitan Fakultas Ekonomi Universitas Indonesia

Pew Research Center. (2011). The Future of the Global Muslim Population, Projections for 2010-2030. Retrieved from http://assets.pewresearch.org/wp-content/uploads/sites/11/2011/01/FutureGlobalMuslimPopulation-WebPDF-Feb10.pdf

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), 224-235. Retrieved from https://www.emeraldinsight.com/doi/abs/10.1108/10662240410542652

Pyöriä, P., Ojala, S., Saari, T., & Järvinen, K. M. (2017). The millennial generation: a new breed of labour?. Sage Open, 7(1), 2158244017697158. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/2158244017697158

Rahma, T. I. F. (2018). Persepsi Masyarakat Kota Medan terhadap Penggunaan Financial Technology (FINTECH). At-Tawasuth, 3(1), 642-661. Retrieved from http://jurnal.uinsu.ac.id/index.php/tawassuth/article/view/1704

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of research in Marketing, 26(4), 332-344. Retrieved from https://www.sciencedirect.com/science/article/pii/S0167811609000639

Rusydiana, A. S. (2018). Developing Islamic Financial Technology in Indonesia. Hasanuddin Economics and Business Review, 2(2), 143-152. Retrieved from https://doi.org/10.26487/hebr.v2i2.1550

Ryu, Hyun-Sun. (2018). What Makes Users Willing or Hesitant to use Fintech? The Moderating Effect of User Type. Industrial Management and Data Systems, 113(3), 541-569. Retrieved from https://doi.org/10.1108/IMDS-07-2017-0325

Saksonova, S., & Merlino, I.K. (2017). Fintech as Financial Innovation-The Possibilities and Problems of Implementation. European Research Studies Journal, 20(3A), 961-973. Retrieved from https://econpapers.repec.org/article/ersjournl/v_3axx_3ay_3a2017_3ai_3a3a_3ap_3a961-973.htm

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176. Retrieved from https://www.jstor.org/stable/23011007?seq=1#page_scan_tab_contents

Venkatesh, V., & Davis, F. (2000). A Theoritical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2),186-204. Retrieved from https://econpapers.repec.org/article/inmormnsc/v_3a46_3ay_3a2000_3ai_3a2_3ap_3a186-204.htm

Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of partial least squares (Vol. 201, No. 0). Berlin: Springer. Retrieved from https://link.springer.com/content/pdf/10.1007/978-3-540-32827-8.pdf

We Are Social. (2019). Digital 2019 Indonesia. Retrieved from https://andi.link/hootsuite-we-are-social-indonesian-digital-report-2019/

Won-jun, Lee. (2018). Understanding Counsumer Acceptance of Fintech Service: An Extension of the TAM Model to Understand Bitcoin. IOSR Journal of Business and Management, 20 (7), 34-37. Retrieved from https://doi.org/10.9790/487X-2007023437

Wulandari, P.P., Wijayanti, A., & Fitriasari, R. (2018). Business Analysis and Designing Models of Governance and Also Risk Management for Fintech as Efforts of Financing Optimization in MSMEs. The International Journal of Accounting and Business Society, 26(2), 106-134. Retrieved from https://doi.org/10.21776/ub.ijabs.2018.26.2.5

Published
2019-11-01
How to Cite
Niswah, F., Mutmainah, L., & Legowati, D. (2019). MUSLIM MILLENNIAL’S INTENTION OF DONATING FOR CHARITY USING FINTECH PLATFORM. Journal of Islamic Monetary Economics and Finance, 5(3), 623-644. https://doi.org/10.21098/jimf.v5i3.1080
Section
Articles