Finding Customer Perception of Peer-to-Peer (P2P) Lending Financial Technology in Pohon Dana

Authors

  • Joshua Tandiono British School Jakarta Bintaro Sektor 9 Tangerang 15227, Indonesia
  • Brata Wibawa Djojo Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480
  • Sevenpri Candra Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480
  • Pantri Heriyati Management Department, BINUS Business School, Doctor of Research in Management, Bina Nusantara University, Jakarta 11480

DOI:

https://doi.org/10.21512/bbr.v11i1.6014

Keywords:

customers perception, Peer-to-Peer (P2P) lending, Financial Technology (FinTech)

Abstract

The research aimed to discover some factors influencing customer perception toward Peer-to-Peer (P2P) lending Financial Technology (FinTech). It was an empirical study in which the survey was conducted using an online questionnaire from June to August 2019. The research sample was collected from 56 respondents of Pohon Dana customers by simple random sampling. The data collected were analyzed with Partial Least Square Path Modelling by presenting several factors influencing customer perception. The analysis tool was SmartPLS ver 3.2.8. The research finds out that benefits and security have a positive and significant relationship to customer perception. Meanwhile, ease of use, self-efficacy, and trust have a negative and insignificant relationship to customer perception.

Dimensions

Plum Analytics

References

APJII. (2019). Penetrasi & profil perilaku pengguna Internet Indonesia 2018. Jakarta: Asosiasi Penyelenggara Jasa Internet Indonesia.

Aydin, G., & Burnaz, S. (2016). Adoption of mobile payment systems: A study on mobile wallets. Journal of Business Economics and Finance, 5(1), 73-92.

Candra, S. (2013). Revisit technology acceptance model for Internet banking (Case study: Public banking in Indonesia). In International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013).

Cao, T. K., Dang, P. L., & Nguyen, H. A. (2016). Predicting consumer intention to use mobile payment services: Empirical evidence from Vietnam. International Journal of Marketing Studies, 8(1), 117-124.

Chen, X., & Li, S. (2017). Understanding continuance intention of mobile payment services: An empirical study. Journal of Computer Information Systems, 57(4), 287-298.

Davis, K., Maddock, R., & Foo, M. (2017). Catching up with Indonesia’s fintech industry. Law and Financial Markets Review, 11(1), 33-40.

Djojo, B. W., Arief, M., & Heriyati, P. (2015). Exploring the relationship of distribution channel role to trust and purchase intention of microinsurance. Advanced Science Letters, 21(5), 1108-1112.

Fang, Y. H., Chiu, C. M., & Wang, E. T. (2011). Understanding customers’ satisfaction and repurchase intentions: An integration of IS success model, trust, and justice. Internet Research, 21(4), 479-503.

Gai, K., Qiu, M., & Sun, X. (2018). A survey on FinTech. Journal of Network and Computer Applications, 103(February), 262-273.

Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: An empirical investigation. Information Systems Frontiers, 19(3), 525-548.

Garg, N., & Singh, S. (2018). Financial literacy among youth. International Journal of Social Economics, 45(1), 173-186.

Gavurova, B., Dujcak, M., Kovac, V., & Kotásková, A. (2018). Determinants of successful loan application at peer-to-peer lending market. Economics & Sociology, 11(1), 85-99.

Gunadi, W. (2018). Regulasi fintech pada era Industri 4.0. Retrieved from https://files.acci.or.id/files/presentation/ojk-regulasi-fintech-pada-eraindustri-4.pdf

Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., & Sartstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). United States of America: SAGE Publication.

Iman, N. (2018). Assessing the dynamics of fintech in Indonesia. Investment Management and Financial Innovations, 15(4), 296-303.

Jadhav, V., & Khanna, M. (2016). Factors influencing online buying behavior of college students: A qualitative analysis. The Qualitative Report, 21(1), 1-15.

Kumar, G., & Shenbagaraman, V. M. (2017). The customers’ perception of mobile banking adoption in Chennai City. An empirical assessment of an extended technology acceptance model. International Journal of Business Information Systems, 26(1), 46-65.

Kusairi, S., Sanusi, N. A., Muhamad, S., Shukri, M., & Zamri, N. (2019). Financial households’ efficacy, risk preference, and saving behaviour: Lessons from lower-income households in Malaysia. Economics & Sociology, 12(2), 301-318.

Mayer, R. C., & Norman, P. M. (2004). Exploring attributes of trustworthiness: A classroom exercise. Journal of Management Education, 28(2), 224-249.

Mondego, D., & Gide, E. (2018). The effect of trust on mobile payment adoption: A comprehensive review of literature. International Journal of Arts & Sciences, 11(1), 375-389.

Otoritas Jasa Keuangan. (2019). Statistik fintech lending periode Juni 2019. Retrieved August 20th, 2019 from https://www.ojk.go.id/id/kanal/iknb/data-danstatistik/fintech/Pages/Statistik-Fintech-Lending-Periode-Juni-2019.aspx

Prawirasasra, K. P. (2018). Financial technology in Indonesia: Disruptive or collaborative? Reports on Economics and Finance, 4(2), 83-90.

Pudaruth, S., & Nursing, R. K. (2017). Exploring the determining factors influencing online purchase behaviour among consumers in emerging economies: A case of Mauritius. International Journal of Arts & Sciences, 10(1), 1-22.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology Acceptance Model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.

Respati, A. (2019). Banyak kasus, tingkat kepercayaan terhadap fintech menciut. Retrieved December 7th, 2019 from https://keuangan.kontan.co.id/news/banyak-kasus-tingkat-kepercayaan-terhadapfintech-menciut

Shuhaiber, A. (2016). Factors influencing consumer trust in mobile payments in the United Arab Emirates (Doctoral thesis). Victory University of Wellington.

Sundjaja, A. M., & Tina, A. (2019). The factors of the intention to use P2P lending Financial Technology (Fintech) website at Jadetabek intervening by perceived value. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 3102-3107.

Teoh, W. M. Y., Chong, S. C., Lin, B., & Chua, J. W. (2013). Factors affecting consumers’ perception of electronic payment: An empirical analysis. Internet Research, 23(4), 465-485.

Vasileiadis, A. (2014). Security concerns and trust in the adoption of m-commerce. Socialnės Technologijos, 4(1), 179-191.

Wang, W. T., & Li, H. M. (2012). Factors influencing mobile services adoption: A brand-equity perspective. Internet Research, 22(2), 142-179.

Wu, H., & Zhang, W. (2017). Factors affecting customer initial trust in the mobile payment service providers: An empirical study. Wuhan International Conference on E-Business (WHICEB 2017) (pp. 358-365).

Yan, H., & Yang, Z. (2015). Examining mobile payment user adoption from the perspective of trust. International Journal of U-and E-Service, Science and Technology, 8(1), 117-130.

Yuan, Y. H., Tsai, S. B., Dai, C. Y., Chen, H. M., Chen, W. F., Wu, C. H., ... & Wang, J. (2017). An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer. PloS One, 12(9), 1-22.

Downloads

Published

2020-03-31
Abstract 1017  .
PDF downloaded 532  .