DETERMINANTS OF BEHAVIOR INTENTION TO ADOPT PEER-TO-PEER LENDING SERVICES AMONG INDONESIA MSMES

  • Ferdinand Murni Hamundu Universitas Terbuka, Jakarta, Indonesia
  • Iis Solihat Department of Mathematics, Faculty of Mathematics and Natural Sciences, Halu Oleo University
  • Hendrian Universitas Terbuka, Jakarta, Indonesia
  • Milde Wahyu Universitas Terbuka, Jakarta, Indonesia
Keywords: Financial inclusion, financial technology, peer-to-peer, MSMEs, UTAUT2, structural equation modeling

Abstract

An alternative for Micro Small and Medium-Sized Enterprises (MSMEs) against the barriers of financial inclusion is peer-to-peer (P2P) lending services. Despite its effectiveness in advancing financial inclusion, the factors that influence its adoption among MSMEs are unique. The purpose of this study is to analyze the factors influencing the intention of Indonesia MSMEs to adopt P2P lending services using the unified theory of acceptance and use of technology (UTAUT) 2 model. The results of this study show that five variables significantly affect MSMEs including performance expectancy, social influence, price value hedonic motivation, and effort expectancy. Meanwhile, the result shows that the factors of facilitating conditions and habits were not significant. This study contributes a reflective insight on the determinants of the P2P lending adoption among MSMEs in a developing country.

References

Abad-Segura, E., González-Zamar, M. D., López-Meneses, E., & Vázquez-Cano, E. (2020). Financial technology: Review of trends, approaches and management. Mathematics, 8(6), 951.

https://doi.org/10.3390/math8060951

Abd Ghani, M., Rahi, S., Yasin, N. M., & Alnaser, F. (2017). Adoption of internet banking: Extending the role of technology acceptance model (TAM) with e-customer service and customer satisfaction. World Applied Sciences Journal, 35(9), 1918-1929.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

https://doi.org/10.1016/0749-5978(91)90020-T

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams M. D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145-157.

https://doi.org/10.1057/fsm.2015.5

Anderman, E. M., Gray, D. L., & Chang, Y. (2012). Motivation and classroom learning. Handbook of Psychology, Second Edition, 7.

https://doi.org/10.1002/9781118133880.hop207005

Bank Indonesia. Economic Report on Indonesia (2017); Bank Indonesia: Central Jakarta, Indonesia, 2018.

Bernards, N., 2019. 'Fintech' and financial inclusion. In: T.M. Shaw, L.C. Mahrenbach, R. Modi, and X. Yi-Chong, eds. The Palgrave Handbook of contemporary International Political economy. London: Palgrave Macmillan, 317-329.

https://doi.org/10.1057/978-1-137-45443-0_20

Cholifaturrosida, A. P., Mawardi, M. K., & Bafadhal, A. S. (2018). Pengaruh hedonic dan utilitarian motivation terhadap behavioral intention pada pemilihan tas mewah (survei online terhadap konsumen wanita yang membeli tas mewah pada store urban icon di surabaya). Jurnal Administrasi Bisnis, 55(2), 75-83.

Chua, P.Y.; Rezaei, S.; Gu, M.L.; Oh, Y.; Jambulingam, M. Elucidating social networking apps decisions: Performance expectancy, effort expectancy and social influence (2018). Nankai Business. Review. International, 9, 118-142.

https://doi.org/10.1108/NBRI-01-2017-0003

Darma, D. C., Kadafi, M. A., & Lestari, D. (2020). FinTech and MSMEs Continuity: Applied in Indonesia. International Journal of Advanced Science and Technology, 29(4), 4676-4685.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 3(9), pp. 982-1002.

https://doi.org/10.1287/mnsc.35.8.982

Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319.

https://doi.org/10.1177/002224379102800305

Dzulfiqar, R., & Ariyanti, M. (2020). Tools for analyzing factors affecting marketplace usage by micro, small, and medium enterprises: Using a modified unified theory of acceptance and a technology 2 model in Bandung. In Managing Learning Organization in Industry 4.0 (pp. 27-33). Routledge.

https://doi.org/10.1201/9781003010814-6

Farah, M.F., Hasni, M.J.S. & Abbas, A.K. (2018). Mobile-banking adoption: Empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7), 1386-1413. DOI:10.1108/IJBM-10-2017-0215.

https://doi.org/10.1108/IJBM-10-2017-0215

Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach. International Journal of Interactive Mobile Technologies, 12(4).

https://doi.org/10.3991/ijim.v12i4.8525

Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: an empirical study of small and medium US businesses. Information & Management, 42(1), 197-216. doi:10.1016/j.im.2003.12.010

https://doi.org/10.1016/j.im.2003.12.010

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.

https://doi.org/10.1108/EBR-11-2018-0203

Harrison, D. A., Mykytyn Jr, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information systems research, 8(2), 171-195.

https://doi.org/10.1287/isre.8.2.171

Hong, W., Chan, F.K.Y., Thong, J.Y.L., Chasalow, L., & Dhillon, G. (2014). A framework and guidelines for context-specific theorizing in information systems research. Information Systems Research, 25(1), 111-136.

https://doi.org/10.1287/isre.2013.0501

Internet World Stats (2021, May 10), World Internet Usage and 2021 Population Stats, Year-Q1 Estimates, Miniwatts Marketing Group. Retrieved May 10, 2021, from https://www.internetworldstats.com/stats.htm

Internet World Stats (2021, May 10), World Internet Usage and 2021 Population Stats, Year-Q1 Estimates, Miniwatts Marketing Group. https://www.internetworldstats.com/stats.htm

Iweka, H., Babajide, A., & Olokoyo, F. O. (2016). Dynamics of small business in an emerging market: challenges and opportunities. Paper presented at 3rd International Conference on African Development Issues, Ota, Nigeria, May 9-11; pp. 91-99.

Kementerian Koperasi dan Usaha Kecil dan Menengah Republik Indonesia (2018). PerkembanganData Usaha Mikro, Kecil, Menengah (UMKM) dan Usaha Besar (UB) Tahun 2017-2018.

Latifah, L., Setiawan, D., Aryani, Y. A., & Rahmawati, R. (2020). Business strategy-MSMEs' performance relationship: Innovation and accounting information system as mediators. Journal of Small Business and Enterprise Development, 28, 1-21.

https://doi.org/10.1108/JSBED-04-2019-0116

Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604-5620.

https://doi.org/10.1016/j.eswa.2013.04.018

Mishra, L., & Kaushik, V. (2021). Application of blockchain in dealing with sustainability issues and challenges of financial sector. Journal of Sustainable Finance & Investment, 1-16.

https://doi.org/10.1080/20430795.2021.1940805

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.

https://doi.org/10.1287/isre.2.3.192

Musa, Z. K. C., Muhayiddin, M. N., Yusoff, M. N. H., Ismail, M., & Muhamad, M. (2019). Intention to use cloud accounting system among SMEs in Malaysia: A conceptual framework of a modified unified theory of acceptance and use of technology (UTAUT) model. Research in World Economy, 10(2), 74-78. https://doi.org/10.5430/rwe.v10n2p74

https://doi.org/10.5430/rwe.v10n2p74

Nguyen, T. H., & Waring, T. S. (2013). The adoption of customer relationship management (CRM) technology in SMEs: An empiricial study. Journal of Small Business and Enterprise Development, 20(4), 824-848

https://doi.org/10.1108/JSBED-01-2012-0013

Nordhoff, S., Louw, T., Innamaa, S., Lehtonen, E., Beuster, A., Torrao, G., Bjorvatn, A., Kessel, T., Malin, F., Happee, R. and Merat, N. (2020). Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries. Transportation research part F: Traffic psychology and behaviour, Vol 74, pp 280-297.

https://doi.org/10.1016/j.trf.2020.07.015

OECD/ERIA. (2018). SME policy index: ASEAN 2018: Boosting competitiveness and inclusive growth. OECD Publishing, Paris/Economic Research Institute for ASEAN and East Asia, Jakarta. https://doi.org/https://doi.org/10.1787/9789264305328-enPatma

Onaolapo, S., & Oyewole, O. (2018). Performance expectancy, effort expectancy, and facilitating conditions as factors influencing smart phones use for mobile learning by postgraduate students of the University of Ibadan, Nigeria. Interdisciplinary Journal of e-Skills and Lifelong Learning, 14, 95-115.

https://doi.org/10.28945/4085

Premkumar, G. (2003). A meta-analysis of research on information technology implementation in small business. Journal of Organizational Computing and Electronic Commerce, 13(2), 91-121.

https://doi.org/10.1207/S15327744JOCE1302_2

Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing.

https://doi.org/10.1108/JRIM-02-2018-0032

Rosavina, M., Rahadi, R. A., Kitri, M. L., Nuraeni, S., & Mayangsari, L. (2019). P2P lending adoption by SMEs in Indonesia. Qualitative Research in Financial Markets, 11, 260-279.

https://doi.org/10.1108/QRFM-09-2018-0103

Schueffel, P. (2016). Taming the beast: A scientific definition of fintech. Journal of Innovation Management, 4(4), 32-54.

https://doi.org/10.24840/2183-0606_004.004_0004

Stern, C., Makinen, M., & Qian, Z. (2017). FinTechs in China-with a special focus on peer to peer lending. Journal of Chinese Economic and Foreign Trade Studies.

https://doi.org/10.1108/JCEFTS-06-2017-0015

Sun, Q., Cao, H., & You, J. (2010). Factors influencing the adoption of mobile service in China: An integration of TAM. J. Comput., 5(5), 799-806.

https://doi.org/10.4304/jcp.5.5.799-806

T. S., Wardana, L. W., Wibowo, A., Narmaditya, B. S., & Akbarina, F. (2021). The impact of social media marketing for Indonesian SMEs sustainability: Lesson from Covid-19 pandemic. Cogent Business & Management, 8(1), 1953679.

https://doi.org/10.1080/23311975.2021.1953679

Tak, P. & Panwar, S. (2017) Using UTAUT 2 model to predict mobile app based shopping: Evidences from India. Journal of Indian Business Research, 9, 248-264 .

https://doi.org/10.1108/JIBR-11-2016-0132

Tambunan, T. T. (2021). Development of financial technology with reference to Peer-to-Peer (P2P) lending in Indonesia. In Handbook of Research on Disruptive Innovation and Digital Transformation in Asia (pp. 144-164). IGI Global.

https://doi.org/10.4018/978-1-7998-6477-6.ch009

Taylor, D. G., Voelker, T. A., & Pentina, I. (2011). Mobile application adoption by young adults: A social network perspective. International Journal of Mobile Marketing, 6, 60-70.

Taylor, S., & Todd, P. A. (1995b). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176.

https://doi.org/10.1287/isre.6.2.144

Teo, T., Zhou, M., & Noyes, J. (2016). Teachers and technology: Development of an extended theory of planned behavior. Educational Technology Research and Development, 64(6), 1033-1052.

https://doi.org/10.1007/s11423-016-9446-5

Thompson, R. L., Higgins, C. A., & Howell, J. M.(1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.

https://doi.org/10.2307/249443

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, 425-478.

https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.

https://doi.org/10.2307/41410412

Wang, C. L., Abhigyan, S. & Sarkar, J. G. (2018). Building the holy brand: towards a theoretical model of brand religiosity. International Journal of Consumer Studies, 42(6), 736-743.

https://doi.org/10.1111/ijcs.12430

Williams Jr, R. I., Pieper, T. M., Kellermanns, F. W., & Astrachan, J. H. (2018). Family firm goals and their effects on strategy, family and organization behavior: A review and research agenda. International Journal of Management Reviews, 20, S63-S82.

https://doi.org/10.1111/ijmr.12167

Wonglimpiyarat, J. (2018). Challenges and dynamics of FinTech crowd funding: An innovation system approach. The Journal of High Technology Management Research, 29(1), 98-108.

https://doi.org/10.1016/j.hitech.2018.04.009

Yunus, U. (2019). A comparison peer to peer lending platforms in Singapore and Indonesia. . In Journal of Physics: Conference Series; IOP Publishing: Medan, Indonesia, Vol 1235, p. 012008

https://doi.org/10.1088/1742-6596/1235/1/012008

Published
2023-04-07
How to Cite
Ferdinand Murni Hamundu, Iis Solihat, Hendrian, & Milde Wahyu. (2023). DETERMINANTS OF BEHAVIOR INTENTION TO ADOPT PEER-TO-PEER LENDING SERVICES AMONG INDONESIA MSMES . International Journal of Business and Society, 24(1), 543-558. https://doi.org/10.33736/ijbs.5633.2023