Determinants of Paleng-QR Ph plus Adoption among Micro-Entrepreneurs in General Santos City Public Market: A Study Using the Unified Theory of Acceptance and Use of Technology

This study examined the determinants influencing behavioral intention to adopt Paleng-QR Ph Plus among micro-entrepreneurs in General Santos City Public Market, Philippines, using an extended Unified Theory of Acceptance and Use of Technology (UTAUT). A descriptive-correlational, quantitative cross-sectional survey was conducted with 120 micro-entrepreneurs (market vendors and tricycle operators) selected through simple random sampling. Data were collected using a modified and structured 39-item, 4-point Likert scale questionnaire adapted from prior UTAUT studies. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to assess the measurement model (outer loadings, reliability, convergent validity) and the structural model. The measurement model demonstrated excellent reliability, with Cronbach's alpha coefficients exceeding 0.90 and all outer loadings above 0.70. The structural model revealed that Effort Expectancy (β = 0.30, p < 0.01), Perceived Trust (β = 0.25, p < 0.01), and Self-Efficacy (β = 0.21, p < 0.05) had significant positive effects on Behavioral Intention, collectively explaining 73% of the variance (R² = 0.73). Performance Expectancy (β = -0.04), Social Influence (β = 0.10), Perceived Risk (β = 0.04), and Perceived Cost (β = 0.13) were not significant predictors. Effort Expectancy, Perceived Trust, and Self-Efficacy are the primary drivers of digital payment adoption among public market micro-entrepreneurs, meaning that ease of use, security trust, and personal confidence matter more than perceived productivity gains, social pressure, risk concerns, or cost. Policymakers and the Bangko Sentral ng Pilipinas may prioritize simplified interfaces, confidence-building training, and trust communication campaigns to accelerate Paleng-QR Ph Plus adoption.

Digital payment adoption, micro-entrepreneurs, Paleng-QR Ph Plus, PLS-SEM, UTAUT

1. Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, 101293. https://doi.org/10.1016/j.techsoc.2020.101293 [Google Scholar] [Crossref]

2. Austria, H. (2025, October 7). DTI, BSP push for digital payments in Pangasinan public markets. Philippine News Agency. https://www.pna.gov.ph/index.php/articles/1260468 [Google Scholar] [Crossref]

3. Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company. [Google Scholar] [Crossref]

4. Bangko Sentral ng Pilipinas. (2022). Paleng-QR Ph Plus program guidelines. https://www.bsp.gov.ph/pages/palengqr.asp [Google Scholar] [Crossref]

5. Bangko Sentral ng Pilipinas. (2023). Digital payments transformation roadmap 2023-2025. https://www.bsp.gov.ph [Google Scholar] [Crossref]

6. Bangko Sentral ng Pilipinas & Department of the Interior and Local Government. (2022). Joint Memorandum Circular No. 1, Series of 2022: Paleng-QR PH Program. [Google Scholar] [Crossref]

7. Bangko Sentral ng Pilipinas & Department of the Interior and Local Government. (2025). BSP seeks Gov. Pam Baricuatro's support for Paleng-QR Ph rollout in Cebu. Province of Cebu – Official Website. https://cebuprovince.org/8980/bsp-seeks-gov-pam-baricuatros-support-for-paleng-qr-ph-rollout-in-cebu/ [Google Scholar] [Crossref]

8. Bangsamoro Information Office. (2025, November 6). First municipality in BARMM adopts cashless payment in public market, local transportation. BARMM Official Website. https://bangsamoro.gov.ph/news/latest-news/first-municipality-in-barmm-adopts-cashless-payment-in-public-market-local-transportation/ [Google Scholar] [Crossref]

9. BPI Direct BanKo, Inc. (2025, May 20). BanKo partners with ECPay to expand touchpoints. BusinessWorld Online. https://www.bworldonline.com/banking-finance/2025/05/20/673444/banko-partners-with-ecpay-to-expand-touchpoints/ [Google Scholar] [Crossref]

10. Caliwan, C. L. (2025, July 11). *180 LGUs go cashless with Paleng-QR PH program*. Philippine News Agency. https://www.pna.gov.ph/index.php/articles/1254070 [Google Scholar] [Crossref]

11. Center for Financial Inclusion. (2025, April 23). Small firms, big impact: Digitization, financial services, and climate resilience in five emerging markets. https://www.centerforfinancialinclusion.org/report/small-firms-big-impact-digitization-financial-services-and-climate-resilience-in-five-emerging-markets/ [Google Scholar] [Crossref]

12. CIMB Bank Philippines. (2025, December 19). CIMB Bank PH upholds financial inclusion mission through MSME webinar and community outreach. The Market Monitor. https://marketmonitor.com.ph/cimb-bank-ph-upholds-financial-inclusion-mission-through-msme-webinar-and-community-outreach/ [Google Scholar] [Crossref]

13. City Government of Dumaguete. (2024, September 27). Bangko Sentral ng Pilipinas, Dumaguete City launched Paleng-QR PH for safer and cashless transactions. https://dumaguetecity.gov.ph/2024/09/27/bangko-sentral-ng-pilipinas-dumaguete-city-launched-paleng-qr-ph-for-safer-and-cashless-transactions/ [Google Scholar] [Crossref]

14. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688 [Google Scholar] [Crossref]

15. Da Silva, A. P. (2021). Making them use it: User perceptions that determine the acceptance of persuasive interventions for child healthcare. In 16th International Conference on Persuasive Technology, PERSUASIVE 2021. Springer. https://research.tue.nl/nl/publications/making-them-use-it-user-perceptions-that-determine-the-acceptance [Google Scholar] [Crossref]

16. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 [Google Scholar] [Crossref]

17. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. [Google Scholar] [Crossref]

18. Dela Cruz, N. A., & Santos, J. M. (2021). Factors affecting the adoption of digital payment systems among micro-enterprises in the Philippines. Philippine Journal of Public Administration, 65(1), 45–67. [Google Scholar] [Crossref]

19. Department of the Interior and Local Government. (2022). Memorandum circular on the implementation of Paleng-QR Ph Plus (DILG MC No. 2022-123). https://www.dilg.gov.ph [Google Scholar] [Crossref]

20. Ding, S., Ruan, Y., & Dou, L. (2025). Rural residents' digital payment: The use and its impact on credit availability: Evidence using extended UTAUT2. SAGE Open, 15(1), 21582440251321861. https://doi.org/10.1177/21582440251321861 [Google Scholar] [Crossref]

21. Fan, J., Shao, M., Li, Y., & Huang, X. (2021). Understanding factors that influence consumer intention to use mobile money services: An application of UTAUT2 with perceived risk and trust. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 618–636. https://doi.org/10.3390/jtaer16040037 [Google Scholar] [Crossref]

22. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3 [Google Scholar] [Crossref]

23. Francas, N. M. (2025, November 27). 2,000 NMSMEs learn digital solutions, financial literacy. Mindanao Times. https://www.mindanaotimes.com.ph/2000-nmsmes-learn-digital-solutions-financial-literacy/ [Google Scholar] [Crossref]

24. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519 [Google Scholar] [Crossref]

25. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications. [Google Scholar] [Crossref]

26. Kharismawan, R., Pramana, E., & Kristian, Y. (2025). Factors influencing mobile payment adoption utilizing extended UTAUT with a case study: Public transportation Trans Jatim buses. Jurnal Teknologi dan Manajemen Informatika, 11(1). https://doi.org/10.26905/jtmi.v11i1.15649Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013 [Google Scholar] [Crossref]

27. Lee, S., & Kim, J. (2024). The effects of seniors' digital literacy and social factors on intention to use public service kiosks. Korean Journal of Digital Policy, 22(1), 45–58. [Google Scholar] [Crossref]

28. Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.005 [Google Scholar] [Crossref]

29. Maglinte, J. M. D., Maluto, S. G. O., & Tenorio, K. B. (2025). Evaluating vendors' level of usage towards Paleng-QR PH Plus in public mall in Ozamiz City. International Journal of Multidisciplinary: Applied Business and Education Research, 6(8), 4038–4050. https://doi.org/10.11594/ijmaber.06.08.24 [Google Scholar] [Crossref]

30. Mallat, N. (2007). Exploring consumer adoption of mobile payments: A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432. https://doi.org/10.1016/j.jsis.2007.08.001 [Google Scholar] [Crossref]

31. 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. [Google Scholar] [Crossref]

32. Philippine News Agency. (2025, October 7). DTI, BSP push for digital payments in Pangasinan public markets. https://www.pna.gov.ph/index.php/articles/1260468 [Google Scholar] [Crossref]

33. Philippines Graphic. (2024, August 7). BSP, DILG, GCash empower market vendors in more cities with digital financial services Paleng-QR. https://philippinesgraphic.com.ph/2024/08/07/bsp-dilg-gcash-empower-market-vendors-in-more-cities-with-digital-financial-services-paleng-qr/ [Google Scholar] [Crossref]

34. Philippine Statistics Authority Albay. (2025). PSA Albay joins the launching of the Paleng-QR PH Plus and financial literacy program of LGU Libon. PSA Albay Provincial Statistical Office. https://rsso05.psa.gov.ph/content/psa-albay-joins-launching-paleng-qr-ph-plus-and-financial-literacy-program-lgu-libon [Google Scholar] [Crossref]

35. Pothering, J. (2025, May 1). How digitalization is – and isn't – helping informal and small businesses in emerging markets. ImpactAlpha. https://impactalpha.com/how-digitalization-is-and-isnt-helping-informal-and-small-businesses-in-emerging-markets/ [Google Scholar] [Crossref]

36. Provincial Government of Bulacan. (2024, June 24). BSP, DILG launch Paleng-QR Ph Program in Pulilan town. https://bulacan.gov.ph/bsp-dilg-launch-paleng-qr-ph-program-in-pulilan-town/ [Google Scholar] [Crossref]

37. Rappler. (2024, August 7). Road to cashless PH: More public markets, transport hubs accept digital payments. https://www.rappler.com/business/consumer-issues/digital-payments-accepted-public-markets-transport-hubs-philippines/ [Google Scholar] [Crossref]

38. RCBC & PearlPay. (2025, October 30). RCBC partners with PearlPay to expand QRPh payments among MSMEs. BusinessMirror. https://businessmirror.com.ph/2025/10/30/rcbc-partners-with-pearlpay-to-expand-qrph-payments-among-msmes/ [Google Scholar] [Crossref]

39. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press. [Google Scholar] [Crossref]

40. Sakib, M. N., Akter, M., Sahabuddin, M., & Fahlevi, M. (2025). An application of the extended UTAUT model to understand the adoption of cashless transactions: Evidence from developing country. Journal of Science and Technology Policy Management, 16(5), 912–926. https://doi.org/10.1108/JSTPM-09-2023-0156 [Google Scholar] [Crossref]

41. Sangguniang Panlungsod ng Batac. (2024). *Ordinance No. 6SP 2024-11: An ordinance encouraging all local business establishments and local transportation facilities in the LGU-City of Batac to adopt the QR PH digital payments as an alternative mode of transactions in line with Paleng QR PH Program*. https://sp.batac.gov.ph/ordinance-no-6sp-2024-11/ [Google Scholar] [Crossref]

42. Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005 [Google Scholar] [Crossref]

43. Sharmila Devi, R., Janis Bibiyana, D., Mohanraj, P., Bagilesh, K., Jeffrey Jim Salvius, J., & Dinesh Babu, M. (2025). Sustaining engagement with digital finance: Mobile payment adoption among marginalized women street vendors in an emerging market. Discover Sustainability, 6(1), 1–28. https://doi.org/10.1007/s43621-025-01890-7 [Google Scholar] [Crossref]

44. Singh, S., & Rana, N. P. (2017). Acceptance of mobile payments in India: An empirical investigation. Journal of Enterprise Information Management, 30(5), 719–739. https://doi.org/10.1108/JEIM-08-2016-0145 [Google Scholar] [Crossref]

45. Surendran, P. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research, 2(4), 175–178. [Google Scholar] [Crossref]

46. Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463–479. [Google Scholar] [Crossref]

47. Van Deursen, A. J. A. M., & Van Dijk, J. A. G. M. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354–375. https://doi.org/10.1177/1461444818797082 [Google Scholar] [Crossref]

48. Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. [Google Scholar] [Crossref]

49. 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 [Google Scholar] [Crossref]

50. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540 [Google Scholar] [Crossref]

51. 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, 36(1), 157–178. https://doi.org/10.2307/41410412 [Google Scholar] [Crossref]

52. World Bank. (2025). The Global Findex Database 2025: Connectivity and financial inclusion in the digital economy. World Bank Group. https://globalfindex.worldbank.org [Google Scholar] [Crossref]

53. Ziouache, A., Bin Abd Ghani, A. H., & Bin Bahaman, M. A. (2025). Understanding E-payment acceptance in Algeria: An extended UTAUT approach with trust as mediator and security as moderator. Edelweiss Applied Science and Technology, 9(6), 2191–2202. [Google Scholar] [Crossref]

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