29, December 2025

Trust Evaluation System Construction and Empirical Research of BNPL Platform Based on Reconstructed 5C Model

VOLUME-11; ISSUE-12; DEC-2025

Author(s): I-Ching Chen, Xiao Xin Liang

Authors Affiliations:

1＊Associate Professor, School of Economics and Management, Zhaoqing University, Zhaoqing, Guangdong, China

2Student, School of Economics and Management, Zhaoqing University, Zhaoqing, Guangdong, China

DOIs:10.2015/IJIRMF/202512010     |     Paper ID: IJIRMF202512010


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Abstract: Building upon the traditional 5C credit evaluation framework, this study develops a user-centric trust assessment system for BNPL platforms targeting college students. The framework integrates key factors including accounting transparency and e-commerce service quality, establishing a multi-tiered indicator structure comprising five dimensions: character, capability, capital, collateral, and condition. Quantitative analysis of survey data through the Analytic Hierarchy Process (AHP) reveals distinct decision-making priorities among students: the "character" dimension (particularly platform compliance and brand credibility) ranks highest, followed by "capability" (with technical reliability as the core focus), and then "capital" (cost transparency). In contrast, "safeguards" related to data security and "condition" concerning macro-environmental factors receive comparatively lower attention. The findings demonstrate that young consumers prioritize mitigating short-term transaction risks over long-term structural risks. These insights provide critical guidance for enhancing personal finance education, improving fintech corporate governance, and optimizing relevant policy frameworks.

Key Words: buy now pay later, college students, 5C model reconstruction, analytic hierarchy process, trust evaluation system.

I-Ching Chen, Xiao Xin Liang (2025); Trust Evaluation System Construction and Empirical Research of BNPL Platform Based on Reconstructed 5C Model, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-12, Pp. 75-88.         Available on –   https://www.ijirmf.com/

  1. Aldboush, H. H., & Ferdous, M. (2023). Building trust in fintech: an analysis of ethical and privacy considerations in the intersection of big data, AI, and customer trust. International Journal of Financial Studies, 11(3), 1-18.https://doi.org/10.3390/ijfs11030090
  2. Amir, A. S., Quayyum, C. M., & Isa, E. V. M. (2025). Unlocking fintech disclosure: Exploring factors in Malaysia’s banking sector. Journal of Nusantara Studies, 10(1), 274-323.https://doi.org/10.24200/jonus.vol10iss1pp274-323
  3. Amalia, J., Manalu, A. J. M., Ambarita, J. N. P., & Sihombing, D. (2025). Creditworthiness Classification Utilizing AHP-SVM Based on 5C Criteria. Sinkron: jurnal dan penelitian teknik informatika, 9(3), 1788-1795.https://doi.org/10.33395/sinkron.v9i3.15049
  4. Berg, T., Burg, V., Gombović, A., & Puri, M. (2020). On the rise of fintechs: Credit scoring using digital footprints. The Review of Financial Studies, 33(7), 2845-2897.https://doi.org/10.1093/rfs/hhz099
  5. Berg, T., Fuster, A., & Puri, M. (2022). Fintech lending. Annual Review of Financial Economics, 14(1), 187-207.https://doi.org/10.1146/annurev-financial-101521-112042
  6. Bourne, C. (2020). Fintech’s transparency–publicity nexus: Value cocreation through transparency discourses in business-to-business digital marketing. American Beavioral Scientist, 64(11), 1607-1626.https://doi.org/10.1177/0002764220959385
  7. Budiarti, S., Hardini, R., Sudirdja, P. F., Annisa, R., & Hasannuddin, M. F. (2023). The Influence of Trust and Ease of Using Paylater on Impluse Buying in Users E-Commerce. Jurnal MANDIRI: Ilmu Pengetahuan, Seni, Dan Teknologi, 7(2), 116-128.https://doi.org/10.33753/mandiri.v7i2.258
  8. Chen, I. C., & Huang, J. (2025). Research on the Service Quality of E-commerce Platforms-From the Perspective of Politeness Framework. International Journal of Multidisciplinary Research and Growth Evaluation, 6(1), 286-291.https://doi.org/10.54660/.ijmrge.2025.6.1.286-291
  9. Desai, P. S., & Jindal, P. (2024). Better with buy now, pay later?: A competitive analysis. Quantitative Marketing and Economics, 22(1), 23-61.https://doi.org/10.1007/s11129-023-09271-y
  10. Fan, L., & Ryu, S. (2023). Financial debts and subjective well‐being of young adults: An adaption of the stress process model. Journal of Consumer Affairs, 57(4), 1576-1604.https://doi.org/10.1111/joca.12560
  11. Fitrisam, S. A., Iradat, M. I., Iskandar, R., Utami, A. P., & Rhamadhani, R. F. (2025). Digital natives and deferred payments: A qualitative study of young consumers’e-commerce BNPL behaviors. Priviet Social Sciences Journal, 5(9), 47-65.https://doi.org/10.55942/pssj.v5i9.575
  12. Ho, W., & Ma, X. (2018). The state-of-the-art integrations and applications of the analytic hierarchy process. European Journal of Operational Research, 267(2), 399–414. https://doi.org/10.1016/j.ejor.2017.09.007
  13. Кутбі, А., Алсілімані, А., & Хан, Р. М. (2024). The effect of buy now, pay later Fintech on traditional financial services and consumer behavior in Saudi Arabia. Financial and credit activity problems of theory and practice, 2(55), 281-297.https://doi.org/10.55643/fcaptp.2.55.2024.4323
  14. Koul, S., Verma, R., & Ajaygopal, V. (2024). Privacy preferences of consumer and lender: A case of digital credit systems in India. Journal of Internet Commerce, 23(4), 414-444.https://doi.org/10.1080/15332861.2024.2418175
  15. Li, C. (2022). Quantitative measurement and analysis of FinTech risk in China. Economic research-Ekonomska istraživanja, 35(1), 2596-2614.https://doi.org/10.1080/1331677x.2021.1970606
  16. Liu, Y., Abdul Rahman, A., Imna Mohd Amin, S., & Ja’afar, R. (2025). Navigating fintech and banking risks: insights from a systematic literature review. Humanities and Social Sciences Communications, 12(1), 1-16.https://doi.org/10.1057/s41599-025-05055-9
  17. Lu, Y., Yang, L., Shi, B., Li, J., & Abedin, M. Z. (2025). A novel framework of credit risk feature selection for SMEs during industry 4.0. Annals of Operations Research, 350(2), 425-452.https://doi.org/10.1007/s10479-022-04849-3
  18. Martínez-López, F. J., Li, Y., Feng, C., & López-López, D. (2021). Buying through social platforms: perceived risks and trust. Journal of Organizational and End User Computing, 33(4), 70-93.https://doi.org/10.4018/joeuc.20210701.oa4
  19. Mahmud, M. R., Hoque, M. R., Ahammad, T., Hasib, M. N. H., & Hasan, M. M. (2024). Advanced AI-driven credit risk assessment for Buy Now, Pay Later (BNPL) and e-commerce financing: Leveraging machine learning, alternative data, and predictive analytics for enhanced financial scoring. Journal of Business and Management Studies, 6(2), 180-189.https://doi.org/10.32996/jbms.2024.6.2.19
  20. Muhammad, T., & Melemi, A. (2021). Assessment of 5Cs relationship towards credit risk management: evidence from Islamic banks. Journal of Islamic Finance, 10(1), 76-89.https://doi.org/10.31436/jif.v10i1.564
  21. Mursalim, M., & Mardainis, M. (2016). Penerapan Metode AHP Dan TOPSIS Untuk Mengevaluasi Pemohon Kredit Suku Cadang Motor Suzuki (Studi Kasus: PT. Riau Jaya Cemerlang Pekanbaru). Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 7(2), 115-128.https://doi.org/10.31849/digitalzone.v7i2.603
  22. Relja, R., Ward, P., & Zhao, A. L. (2024). Understanding the psychological determinants of buy-now-pay-later (BNPL) in the UK: a user perspective. International Journal of Bank Marketing, 42(1), 7-37.https://doi.org/10.1108/IJBM-07-2022-0324
  23. Rerung, A., Paranita, E. S., AY, R. A. A., Budiandru, B., & Tandililing, E. M. (2024). The influence of fintech innovations, ESG reporting, and blockchain technology on financial transparency and accountability. The Journal of Academic Science, 1(2), 111-117.https://doi.org/10.59613/fb73ds14
  24. Saaty, T. L. (1990). THE ANALYTIC HIERARCHY PROCESS IN CONFLICT MANAGEMENT. International Journal of Conflict Management, 1(1), 47–68. https://doi.org/10.1108/eb022672
  25. Shehadeh, M., Ahmed, F., Hussainey, K., & Alkaraan, F. (2025). Nexus between corporate governance and FinTech disclosure: a comparative study between conventional and Islamic banks. Competitiveness Review: An International Business Journal, 35(4), 701-726.https://doi.org/10.1108/cr-05-2024-0089
  26. Tang, M. B., Sa’adi, N., & Andam, J. L. (2025). Buy Now, Pay Later Services: Adoption Drivers among Digitally Fluent Generations in Sarawak. Journal of Technology Management and Business, 12(1), 119-136.https://doi.org/10.30880/jtmb.2025.12.01.009
  27. Threadgold, S., Shannon, B., Haro, A., Cook, J., Davies, K., Coffey, J., … & Burrows, R. (2025). Buy Now, Pay Later technologies and the gamification of debt in the financial lives of young people. Journal of Cultural Economy, 18(1), 52-67.https://doi.org/10.1080/17530350.2024.2346210
  28. Van Tuan, P., Tram, N. T. P., Chi, V. M., Hao, N. T., & Linh, N. K. (2024). Factors Affecting the Intention to Buy Now-Pay Later for Online Payment of Generation Z. Journal of Business and Econometrics Studies, 1(2), 1-6.https://doi.org/10.61440/jbes.2024.v1.12
  29. Tang, J. A. (2019). An Exploration of the Relationship between College Students’ Competitive Consumption and Marketing Strategies of Financial Services for Platform Consumption—Based on the Investigation of College Students in Songjiang University Town, Shanghai. Finance, 9(6), 647-656.https://doi.org/10.12677/fin.2019.96072
  30. Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy, 20(1), 165-179.https://doi.org/10.3846/20294913.2014.892037
  31. Zhu, X., Ren, W., Chen, Q., & Evans, R. (2021). How does internet usage affect the credit consumption among Chinese college students? A mediation model of social comparison and materialism. Internet Research, 31(3), 1083-1101.https://doi.org/10.1108/intr-08-2019-0357
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