Journal of Entrepreneurship and Innovation Research

Journal of Entrepreneurship and Innovation Research

Factors affecting people's intention to participate in the peer-to-peer lending model

Document Type : Original Article

Authors
Mehdi Khezrian 1
Ehsan Chitsaz 2
mohamadhassan mobaraki 3
mohammad faridvand 4
1 Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
2 Department of Entrepreneurship Development, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
3 Department of new business, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran.
4 Tehran University Research and Technology Fund, Science & Technology Park, University of Tehran, Tehran, Iran.
10.22034/eir.2024.444673.1063
Abstract
 
Objective: This study investigates the factors affecting the intention to participate in peer-to-peer (P2P) lending using the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB). Given the high failure rate of tech ventures globally and the inherent risks in financial activities, understanding the participation factors in this technology is crucial.
Method: The study utilized standard questionnaires from 260 international cryptocurrency lending practitioners. Data were measured using a Likert scale and analyzed with PLS-SMAR software.
Findings: The findings indicate that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly impact the intention to use P2P lending platforms. Adding perceived risk and collective decision-making variables to the model enhanced prediction accuracy. Financial and time risks were identified as the main factors influencing P2P lending participation intention.
Conclusion:The study suggests that managers and policymakers of P2P lending platforms should focus on improving facilitating conditions and reducing risks.
Keywords
peer-to-peer lending
integrated model of technology acceptance and use
collective decision making
perceived risk
planned behavior model

Subjects

  1. Abbad, M. M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205–7224. https://doi.org/10.1007/s10639-021-10573-5

    Ain, N. U., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306–1321. https://doi.org/10.1177/0266666915597546

    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

    Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4). https://doi.org/10.1348/014466601164939

    Ashraf, M., Hasan, N., Lewis, L., … M. H.-I. J. of, & 2016, undefined. (n.d.). A systematic literature review of the application of information communication technology for visually impaired people. Cambridge.OrgMM Ashraf, N Hasan, L Lewis, MR Hasan, P RayInternational Journal of Disability Management, 2016•cambridge.Org. Retrieved June 11, 2024, from https://www.cambridge.org/core/journals/international-journal-of-disability-management/article/systematic-literature-review-of-the-application-of-information-communication-technology-for-visually-impaired-people/D47B1DD148C063141B5402B0E99D5BE6

    Assegaff, S., & Mulyono, H. (2017). The Role of Benefit and Cost in Acceptance Knowledge Management System: Knowledge Contributor Perspectives. In Social Interactions and Networking in Cyber Society (pp. 233–247). Springer Singapore. https://doi.org/10.1007/978-981-10-4190-7_19

    Bateson, N. (1966). Familiarization, group discussion, and risk taking. Journal of Experimental Social Psychology, 2(2), 119–129. https://doi.org/10.1016/0022-1031(66)90073-4

    Berger, S., Journal, F. G.-B. B. R., & 2009, undefined. (2009). Emergence of financial intermediaries in electronic markets: The case of online P2P lending. Papers.Ssrn.Com, 2(1), 39–65. https://doi.org/10.1007/BF03343528

    Bhukya, R., & Singh, S. (2015). The effect of perceived risk dimensions on purchase intention. American Journal of Business, 30(4), 218–230. https://doi.org/10.1108/AJB-10-2014-0055

    Buhalis, D., Andreu, L., & Gnoth, J. (2020). The dark side of the sharing economy: Balancing value co‐creation and value co‐destruction. Psychology & Marketing, 37(5), 689–704. https://doi.org/10.1002/mar.21344

    Chris Chapman, S. W. (2002). Managing Project Risk and Uncertainty: A Constructively Simple Approach to Decision Making. C. Chapman, S. Ward.

    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982–1003.

    Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211–230. https://doi.org/10.1016/J.GIQ.2017.03.001

    Eckstein, M. P., Das, K., Pham, B. T., Peterson, M. F., Abbey, C. K., Sy, J. L., & Giesbrecht, B. (2012). Neural decoding of collective wisdom with multi-brain computing. NeuroImage, 59(1), 94–108. https://doi.org/10.1016/j.neuroimage.2011.07.009

    Emad Y. Masoud. (2013). The Effect of Perceived Risk on Online Shopping in Jordan.

    Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies, 59(4). https://doi.org/10.1016/S1071-5819(03)00111-3

    Grillos, T. (2022). Participation Improves Collective Decisions (When It Involves Deliberation): Experimental Evidence From Kenya. British Journal of Political Science, 52(4), 1728–1747. https://doi.org/10.1017/S0007123421000375

    Heirsh Soltanpanah. (2012). A review of the literature of perceived risk and identifying its various facets in e- commerce by customers: Focusing on developing countries. AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 6(8). https://doi.org/10.5897/AJBM11.1409

    Jamali, B., MohammadKazemi, R., Farsi, J. Y., & Dehkordi, A. M. (2018). The Study on the Theories’ Gap of Technological Entrepreneurship Opportunities Emergence. International Business Research, 11(2), 79. https://doi.org/10.5539/ibr.v11n2p79

    Jr, H. L., sciences, V. S.-D., & 1999, undefined. (1999). Technology use and performance: A field study of broker workstations. Wiley Online LibraryHC Lucas Jr, VK SpitlerDecision Sciences, 1999•Wiley Online Library, 30(2), 291–311. https://doi.org/10.1111/j.1540-5915.1999.tb01611.x

    Kafeshani A.A, Rezvani.M, Chitsazan.H, & Mohammadkazemi.R. (2018). Entrepreneurial marketing mix in Fundraising from business angels. The Journal of Entrepreneurship Development.

    Klinke, A., & Renn, O. (2002). A New Approach to Risk Evaluation and Management: Risk‐Based, Precaution‐Based, and Discourse‐Based Strategies 1. Risk Analysis, 22(6), 1071–1094. https://doi.org/10.1111/1539-6924.00274

    Kurniadi, E., & Hendityasari, G. G. (2021). Analysis factors affecting lenders intention in P2p lending platform using Utaut2 model. Turkish Journal of Computer and Mathematics Education, 12(3), 3527–3537.

    Lee, J.-H., & Song, C.-H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality: An International Journal, 41(4), 587–597. https://doi.org/10.2224/sbp.2013.41.4.587

    Lee, K., Research, S. T.-J. of B., & 2003, undefined. (2003). E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice. ElsevierKS Lee, SJ TanJournal of Business Research, 2003•Elsevier. https://www.sciencedirect.com/science/article/pii/S0148296301002740

    Liang, C.-C. (2016). Subjective Norms and Customer Adoption of Mobile Banking: Taiwan and Vietnam. 2016 49th Hawaii International Conference on System Sciences (HICSS), 1577–1585. https://doi.org/10.1109/HICSS.2016.199

    Lin, H. F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6(4). https://doi.org/10.1016/j.elerap.2007.02.002

    1. A. Fishbein, I. A. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. MA: Addison-Wesley.

    Mudjahidin, Hidayat, A. A., & Aristio, A. P. (2022). Conceptual model of use behavior for peer-to-peer lending in Indonesia. Procedia Computer Science, 197, 215–222. https://doi.org/10.1016/j.procs.2021.12.134

    Parmar, D., Sugiono, E., Raja, S., & Rueping, M. (2017). Addition and Correction to Complete Field Guide to Asymmetric BINOL-Phosphate Derived Brønsted Acid and Metal Catalysis: History and Classification by Mode of Activation; Brønsted Acidity, Hydrogen Bonding, Ion Pairing, and Metal Phosphates. Chemical Reviews, 117(15), 10608–10620. https://doi.org/10.1021/acs.chemrev.7b00197

    R Sunardi, H. H. A. B. D. P. (2022). Factors Determining Adoption of Fintech Peer-to-Peer Lending Platform: An Empirical Study in Indonesia. The Journal of Asian Finance, Economics and Business.

    Shahriar, A. , & M. J. (2010). Measuring e-shopping intention: An Iranian perspective. . . African Journal of Business Management.

    Sipangkar, S. , W. C. (2020). Factors Affecting Intention to Investing in Peer-to-Peer Lending Platform Toward Universitas Indonesia Students.

    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., Davis, G., quarterly, F. D.-M., & 2003, undefined. (n.d.). User acceptance of information technology: Toward a unified view. JSTORV Venkatesh, MG Morris, GB Davis, FD DavisMIS Quarterly, 2003•JSTOR. Retrieved June 11, 2024, from https://www.jstor.org/stable/30036540

    Venkatesh, V., Morris, M., Davis, G., quarterly, F. D.-M., & 2003, undefined. (2003). User acceptance of information technology: Toward a unified view. JSTORV Venkatesh, MG Morris, GB Davis, FD DavisMIS Quarterly, 2003•JSTOR. https://www.jstor.org/stable/30036540

    Yadollahi Farsi, J., Azizi, M., Mohammadkazemi, R., & Ziya, B. (2019). Identifying Factors of Fitness between Business Model and Entrepreneurial Opportunity for Effective Opportunity Exploitation. Revista Gestão & Tecnologia, 19(5). https://doi.org/10.20397/2177-6652/2019.v19i5.1775

    Yaseen, S. G., & El Qirem, I. A. (2018). Intention to use e-banking services in the Jordanian commercial banks. International Journal of Bank Marketing, 36(3), 557–571. https://doi.org/10.1108/IJBM-05-2017-0082

    Zhang, B. Z., Ziegler, T., Rosenberg, R., Squire, R., Garvey, K., Burton, J., Wardrop, R., & Hernadez, E. A. (2016). Breaking New Ground: The Americas Alternative Finance Benchmarking Report. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.3621308