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This study aims to develop a Theory of Planned Behavior by analyzing the factors that influence customers to contribute to Islamic P2P lending customers. This study uses a partial least squares structural equation model (PLS-SEM) analysis with 120 respondents. The number of respondents is determined by the five rules of thumb approach, while data collection is done by purposive sampling. This research was conducted for one year, namely in 2021-2022 with the provision that the sample was customers of Islamic P2P lending in Indonesia. The results of the study revealed that attitude, subjective norm and perceived behavior control had a significant positive effect on the intention to contribute to Islamic P2P lending. While piety and intention have a significant positive effect on behavior to contribute to Islamic P2P lending in Indonesia. The results of this study contribute to the development of the theory of planned behavior (TPB), more extensive research is needed such as research in countries that are members of the OIC to validate these results.

Keywords: Muslim Behavior, Islamic Peer-to-Peer Landing, Financial Technology


Muslim Behavior IslaIslamic Peer-to-Peer Landing Financial Technology

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  1. Abid, A., & Jie, S. (2022). Understanding farmers’ decision-making to use Islamic fi-nance through the lens of theory of planned behavior. Journal of Islamic Marketing, a head of print.
  2. Ahmad, A., Sohail, A., & Hussain, A. (2021). Emergence of Financial Technology In Islamic Banking Industry And Its Influence on Bank Performance In Covid-19 Scenario: A Case Of Developing Economy. Gomal University Journal of Research, 37(1), 97–109.
  3. Aji, H. M., Albari, A., Muthohar, M., Sumadi, S., Sigit, M., Muslichah, I., & Hidayat, A. (2021). Investigating the determinants of online infaq intention during the COVID-19 pandemic: an insight from Indonesia. Journal of Islamic Account-ing and Business Research, 12(1), 1–20.
  4. Aji, H. M., Berakon, I., & Riza, A. F. (2020). The effects of subjective norm and knowledge about riba on intention to use e-money in Indonesia. Journal of Islamic Marketing, 12(6), 1180–1196.
  5. Ajzen, I. (1991). The Theory of Planned Behavior-Organizational Behavior and Hu-man Decision Processes 50. Ajzen, I.(2002) Perceived Behavioural Control, Self-efficacy, Locus of Control and the Theory of Planned Behaviour. Journal of Applied Social Psychology, 32(4), 665-683.
  6. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflec-tions. Psychology & health, 26(9), 1113-1127.
  7. Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution process-es. Psychological bulletin, 82(2), 261-277.
  8. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological bulletin, 84(5), 888-918.
  9. Ajzen, I. (2005). EBOOK: Attitudes, Personality and Behaviour. McGraw-hill educa-tion (UK).
  10. Alhazmi, B. M. (2019). The Influence of Customer and Organisational Religiosity on the Development of Customer Trust in Financial Services Marketing Rela-tionships. In The University of Edinburg. The University of Edinburg.
  11. APJII. (2018). Penetrasi & Profil Perilaku Pengguna Internet Indonesia. In Asosiasi Penyelenggara Jasa Internet Indonesia (Apjii).
  12. Au, C. H., Tan, B., & Sun, Y. (2020). Developing a P2P lending platform: stages, strategies and platform configurations. Internet Research, 30(4), 1229–1249.
  13. Baber, H. (2020). Intentions to participate in political crowdfunding from the perspec-tive of civic voluntarism model and theory of planned behavior. Technology in Society, 63(October), 101435.
  14. Bananuka, J., Mukyala, V., Tumwebaze, Z., Ssekakubo, J., Kasera, M., & Najjuma, M. S. (2020). The Intention to Adopt Islamic Financing in Emerging Econo-mies: Evidence From Uganda. Journal of Islamic Accounting and Business Research, 11(3), 610–628.
  15. Bank Indonesia. (2017). Peraturan Bank Indonesia Nomor 19/12/PBI/2017 tentang Penyelenggaraan Teknologi Finansial. In Bank Indonesia.
  16. Bruton, G., Khavul, S., Siegel, D., & Wright, M. (2015). New financial alternatives in seeding entrepreneurship: Microfinance, crowdfunding, and peer-to-peer innovations. Entrepreneurship: Theory and Practice, 39(1), 9–26.
  17. Chawla, D., & Joshi, H. (2020). Role of Mediator in Examining the Influence of An-tecedents of Mobile Wallet Adoption on Attitude and Intention. Global Busi-ness Review,1(17).
  18. Chetioui, Y., Satt, H., Lebdaoui, H., Baijou, M., Dassouli, S., & Katona, S. (2022). An-tecedents of giving charitable donations (Sadaqah) during the COVID-19 pandemic: does Islamic religiosity matter?. Journal of Islamic Marketing, a head of print.
  19. Chin, W. W. (2010). How to write up and report PLS analyses. In ‘Handbook of Par-tial Least Squares’. (Eds VV Esposito, WW Chin, J Henseler and H Wang) pp. 655–690.
  20. Cohen, J. (1992). A Power Primer. Psychological Bulletin, 112(1), 155–159.
  21. Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574.
  22. DSN MUI. (2008). Tentang Anjak Piutang Syariah, 1.
  23. DSN MUI (Dewan Syariah Nasional-Majelis Ulama Indonesia). (2018) No: 117/DSN-MUI/II/2018 Tentang Layanan Pembiayaan Berbasis Teknologi Informasi Berdasarkan Prinsip Syariah, 14.
  24. de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146(August 2018), 931–944.
  25. Fornell, C., & Larcker, D. F. (1981). Stuctural Equation Models With Unobservable Variables and Measurement Error: Algebra and Statistics. In Working Paper No. 266.
  26. Gait, A., & Worthington, A. (2008). An empirical survey of individual consumer, busi-ness firm and financial institution attitudes towards Islamic methods of fi-nance. International Journal of Social Economics, 35(11), 783–808.
  27. Ghufron, M. N., & Risnawita, R. S. (2017). Teori-teori psikologi. Yogyakarta: ArRuzz.
  28. Graafland, J. (2017). Religiosity, Attitude, and the Demand for Socially Responsible Products. Journal of Business Ethics, 144(1), 121–138.
  29. Haddad, C., & Hornuf, L. (2019). The emergence of the global fintech market: Eco-nomic and technological determinants. Small business economics, 53(1), 81-105.
  30. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (MVDA) (7th ed.). Pearson Education Limited.
  31. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). In Sage. Sage.
  32. Hassani, A., & Moghavvemi, S. (2019). Muslims’ travel motivations and travel prefer-ences: The impact of motivational factors on Islamic service, hedonic and product preferences. Journal of Islamic Marketing, 11(2), 344–367.
  33. Hill, R. J., Fishbein, M., & Ajzen, I. (1977). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Contemporary Sociology, 6(2), 177-188.
  34. Hogg, M. A., Adelman, J. R., & Blagg, R. D. (2010). Religion in the face of uncertain-ty: An uncertainty-identity theory account of religiousness. Personality and Social Psychology Review, 14(1), 72–83.
  35. Johnson, B. R., Jang, S. J., Larson, D. B., & De Li, S. (2001). Does Adolescent Reli-gious Commitment Matter? A Reexamination of the Effects of Religiosity on Delinquency. Journal of Research in Crime and Delinquency, 38(1), 22–44.
  36. JR., J. F. H., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (7th ed). Pearson.
  37. Khan, A., Arafat, M. Y., & Azam, M. K. (2022). Role of halal literacy and religiosity in buying intention of halal branded food products in India. Journal of Islamic Marketing, 13(2), 287–308.
  38. Kraft, P., Rise, J., Sutton, S., & Røysamb, E. (2005). Perceived difficulty in the theory of planned behaviour: Perceived behavioural control or affective attitude? British Journal of Social Psychology, 44(3), 479–496.
  39. Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepre-neurial intentions. Journal of Business Venturing, 15(5), 411–432.
  40. Kumra, R., Khalek, S. A., & Samanta, T. (2021). Factors Affecting BoP Producer In-tention to Use P2P Lending Platforms in India. Journal of Global Marketing, 34(4), 328–352.
  41. Kwon, E. H., & Park, M. J. (2017). Critical factors on firm’s digital transformation ca-pacity: Empirical evidence from Korea. International Journal of Applied Engi-neering Research, 12(22), 12585–12596.
  42. Liébana-Cabanillas, F., Molinillo, S., & Japutra, A. (2021). Exploring the Determi-nants of Intention to Use P2P Mobile Payment in Spain. Information Sys-tems Management, 38(2), 165–180.
  43. Mazambani, L., & Mutambara, E. (2020). Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30–50.
  44. Nakashima, T. (2018). Creating credit by making use of mobility with FinTech and IoT. IATSS Research, 42(2), 61-66.
  45. Narastri, M. (2020). Financial Technology (Fintech) di Indonesia Ditinjau dari Per-spektif Islam. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 2(2), 155–170.
  46. Narayan, P. K., & Phan, D. H. B. (2019). A survey of Islamic banking and finance lit-erature: Issues, challenges and future directions. Pacific Basin Finance Journal, 53(c), 484-496.
  47. Nugroho, A. P., Hidayat, A., & Kusuma, H. (2017). The influence of religiosity and self-efficacy on the saving behavior of the islamic banks. Banks and Bank Systems, 12(3), 35–47.
  48. OJK (2016). Peraturan Otoritas Jasa Keuangan Nomor: 77 /POJK.01/2016 Tentang Layanan Pinjam Meminjam Uang Berbasis Teknologi Informasi, Otoritas Jasa Keuangan 1. - POJK Fintech.pdf
  49. OJK. (2020). Perkembangan Fintech Lending.
  50. Oladapo, I. A., Hamoudah, M. M., Alam, M. M., Olaopa, O. R., & Muda, R. (2021). Customers’ perceptions of FinTech adaptability in the Islamic banking sec-tor: comparative study on Malaysia and Saudi Arabia. Journal of Modelling in Management. a head of print.
  51. Palinggi, S., & Allolinggi, L. R. (2020). Analisa Deskriptif Industri Fintech di Indone-sia: Regulasi dan Keamanan Jaringan dalam Perspektif Teknologi Digital. Ekonomi Dan Bisnis, 6(2), 177–192. DOI: 10.35590/jeb.v6i2.1327
  52. Pişkin, M., & Kuş, M. C. (2019). Islamic Online P2P Lending Platform. Procedia Computer Science, 158, 415–419.
  53. Pitchay, A. A., Ganesan, Y., Zulkifli, N. S., & Khaliq, A. (2021). Determinants of cus-tomers' intention to use online food delivery application through smartphone in Malaysia. British Food Journal, 124(3), 732-753.
  54. Pralengga, A. D. (2021). Apa Itu P2P Lending? Yuk Pelajari! Alamisharia.Co.Id.
  55. Rahardjo, B., Ikhwan, K., & Siharis, A. K. (2019). Pengaruh financial technology (fintech) terhadap perkembangan UMKM di Kota Magelang. In Prosiding Seminar Nasional Fakultas Ekonomi Untidar 2019, 347–356.
  56. Sa’ad, A. A., Ahmad, K., & Saleh, A. O. H. (2019). P2P Islamic fintech investment in-novation. A proposal of musharakah smart contract model for smes financ-ing and social development. Al-Shajarah: Journal of the International Institute of Islamic Thought and Civilization (ISTAC). 169-184.
  57. Sandikci, Ö. (2011). Researching Islamic marketing: Past and future perspectives. Journal of Islamic Marketing, 2(3), 246–258.
  58. Schaupp, L. C., Festa, M., Knotts, K. G., & Vitullo, E. A. (2022). Regulation as a pathway to individual adoption of cryptocurrency. Digital Policy, Regulation and Governance , 24(2), 199–219.
  59. Schifter, D. E., & Ajzen, I. (1985). Intention, perceived control, and weight loss: an application of the theory of planned behavior. Journal of personality and so-cial psychology, 49(3), 843-851.
  60. Setyaningrum, D. P., & Saputro, E. P. (2019). PERSEPSIAN RISIKO FINTECH. In Prosiding Seminar Nasional Fakultas Ekonomi Untidar 2019.
  61. Shakona, M. Y. (2013). The Influence of religiosity on the intentioan of US muslim tourist to choose a shariah compliant Hotel (Issue December). Clemson Uni-versity.
  62. Sharif, S. P., & Naghavi, N. (2021). Online Financial Trading among Young Adults: Integrating the Theory of Planned Behavior, Technology Acceptance Model, and Theory of Flow. International Journal of Human-Computer Interaction, 37(10), 949–962.
  63. Sitompul, M. G. (2019). Urgensi Legalitas Financial Technology (Fintech): Peer To Peer (P2P) Lending Di Indonesia. Jurnal Yuridis Unaja, 1(2), 68–79.
  64. Ullah, N., Mugahed Al-rahmi, W., & Alkhalifah, A. (2021). Predictors for distributed ledger technology adoption: integrating three traditional adoption theories for manufacturing and service operations. Production and Manufacturing Research, 9(1), 178–205.
  65. Utama, S., & Ilahiyah, I. (2018). Pengembangan Model Low Cost Islamic Peer To Peer Financing Berbasis Financial Technology Untuk Akselerasi Kinerja UMKM. Islamic Economics Journal, 4(2), 249-275.
  66. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178.
  67. Zhao, H., Ge, Y., Liu, Q., Wang, G., Chen, E., & Zhang, H. (2017). P2P lending sur-vey: platforms, recent advances and prospects. ACM Transactions on Intelli-gent Systems and Technology (TIST), 8(6), 1-28.

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