Adoption of Digital Payment Systems Among Semi-Urban MSMEs: Barriers, Enablers, and Working Capital Outcomes

Authors

Keywords:

Digital Payments, Micro Small and Medium Enterprises, Technology Adoption, Financial Inclusion, Working Capital, Semi-Urban Economy

Abstract

Micro, small and medium enterprises in semi-urban settlements occupy an awkward position in the literature on digital payments. They are neither the rural households studied in the financial inclusion tradition nor the formalised urban firms studied in the technology adoption tradition, and the theoretical apparatus of each transfers only partially. This paper reviews what is known about digital payment adoption by such firms, organised around three questions: what impedes adoption, what enables it, and what happens to working capital once adoption occurs. It argues that the dominant explanatory frame — individual-level acceptance models built on perceived usefulness and ease of use — systematically under-weights the constraints that actually bind for a small trader, which are the cost of acceptance, the reconciliation burden, and the consequences of becoming visible to tax and regulatory systems. The enabling side has been transformed by interoperable public payment infrastructure, which decouples acceptance from the merchant’s choice of provider and reduces the fixed cost of entry to close to zero, but the literature has not yet caught up with the implications for adoption theory. On working capital, the review finds a mechanism-rich but evidence-poor situation: the causal pathways from digital acceptance to shorter cash conversion cycles and improved credit access are well articulated, while the empirical base rests largely on cross-sectional self-report designs that cannot separate adoption from the firm characteristics that produced it. A research agenda is proposed centred on transaction-level data, credible identification, and the neglected question of who is left behind.

References

Ahamed, M. M., & Mallick, S. K. (2019). Is financial inclusion good for bank stability? International evidence. Journal of Economic Behavior & Organization, 157, 403–427.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Asongu, S. (2015). The impact of mobile phone penetration on African inequality. International Journal of Social Economics, 42(8), 706–716. https://doi.org/10.1108/IJSE-11-2012-0228

Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141–164. https://doi.org/10.1016/j.elerap.2006.12.004

Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior. Information Technology & People, 20(4), 352–375. https://doi.org/10.1108/09593840710839798

Beck, T., Demirgüç-Kunt, A., & Maksimovic, V. (2005). Financial and legal constraints to growth: Does firm size matter? The Journal of Finance, 60(1), 137–177.

Bhanot, D., Bapat, V., & Bera, S. (2012). Studying financial inclusion in North-East India. International Journal of Bank Marketing, 30(6), 465–484.

Chakravarty, S. R., & Pal, R. (2013). Financial inclusion in India: An axiomatic approach. Journal of Policy Modeling, 35(5), 813–837. https://doi.org/10.1016/j.jpolmod.2012.12.007

Chiou, J. S., & Shen, C. C. (2012). The antecedents of online financial service adoption: The impact of physical banking services on Internet banking acceptance. Behaviour & Information Technology, 31(9), 859–871.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

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.

Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. World Bank.

Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), 200–216.

Jack, W., Ray, A., & Suri, T. (2013). Transaction networks: Evidence from mobile money in Kenya. American Economic Review, 103(3), 356–361.

Jack, W., & Suri, T. (2014). Risk sharing and transactions costs: Evidence from Kenya’s mobile money revolution. American Economic Review, 104(1), 183–223.

Khera, P., Ng, S., Ogawa, S., & Sahay, R. (2022). Measuring digital financial inclusion in emerging market and developing economies: A new index. Asian Economic Policy Review, 17(2), 213–230.

Patil, S. S., & Vashishtha, A. (2024). Determinants of technology adoption in Indian MSMEs: An exploratory factor analysis. Academy of Marketing Studies Journal, 28(5), 1–13.

Petersen, M. A., & Rajan, R. G. (1997). Trade credit: Theories and evidence. The Review of Financial Studies, 10(3), 661–691.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Suri, T., & Jack, W. (2016). The long-run poverty and gender impacts of mobile money. Science, 354(6317), 1288–1292. https://doi.org/10.1126/science.aah5309

Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

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.

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.

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Published

2026-09-03

How to Cite

Sharma, D. (2026). Adoption of Digital Payment Systems Among Semi-Urban MSMEs: Barriers, Enablers, and Working Capital Outcomes. Journal of Emerging Multidisciplinary Research, 2(3), 06–10. Retrieved from https://journals.koshubhresearchfoundation.org/index.php/jemr/article/view/18