Exploring the Factors Affecting Mobile Payment Adoption Intention Among Women Street Vendors In India

Jump To References Section

Authors

  • Post-Doctoral Research Fellow, ICSSR, New Delhi – 110067, Delhi ,IN
  • Professor, Department of Management, Pondicherry University, Karaikal Campus, Puducherry – 609605 ,IN

DOI:

https://doi.org/10.18311/sdmimd/2024/32806

Keywords:

Digital Financial Literacy, Digital Payments, Perceived Trust, Social Influence, TAM, Women Street Vendors

Abstract

This study aims to explore the major determinants of women’s street vendors’ mobile payment (m-payment) adoption in India. This study is examined by a well-known theory namely, the Technology Acceptance Model (TAM). The additional constructs such as Customers’ Digital Literacy (CDL), Perceived Trust (PT), and Social Influence (SI) incorporated into the basic TAM model. The sample respondents particularly women street vendors were interviewed using a structured questionnaire, a judgment sampling method was employed to collect data from 275 women street vendors. The statistical techniques namely descriptive statistics, measurement model or Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) were used to analyze the data. The findings of the study reveal that factors such as CDL, perceived ease of use (PEOU), perceived usefulness (PU), and Perceived Trust (PT) have significantly determined the intention to adopt and use m-payment methods among women street vendors. However, Social Influence (SI) has shown an insignificant effect on women street vendors’ m-payment payment adoption intention. The study’s empirical results offer valuable insights to the central bank, and policymakers to take strategic steps for reaching the one of the Government of India (GoI) digital India initiatives.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2024-01-19

How to Cite

Nandru, P., & Senthilkumar, S. A. (2024). Exploring the Factors Affecting Mobile Payment Adoption Intention Among Women Street Vendors In India. SDMIMD Journal of Management, 15(1), 41–52. https://doi.org/10.18311/sdmimd/2024/32806

Issue

Section

Articles

 

References

Altwairesh, R., & Aloud, M. (2021). Mobile payments from merchants’ perspective: An empirical study using the TAM Model in Saudi Arabia. International Journal of Computer Science & Network Security, 21(8), 317-326.

Bapat, D. (2022). Exploring the relationship between lifestyle, digital financial element, and digital financial services experience. International Journal of Bank Marketing, 40(2), 297-320. https://doi. org/10.1108/IJBM-12-2020-0575. DOI: https://doi.org/10.1108/IJBM-12-2020-0575

Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioral intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102. https://doi.org/10.1108/ JIBR-02-2014-0013 DOI: https://doi.org/10.1108/JIBR-02-2014-0013

Borborah, P., & Das, K. S. (2022). Building agency: Women vendors and gendered technology in informal markets in Assam. Gender & Development, 30(3), 517-530. https://doi.org/10.1 080/13552074.2022.2131260 DOI: https://doi.org/10.1080/13552074.2022.2131260

Byrne, B. M. (2010). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, 3rd ed.; Multivariate applications series; Routledge. Taylor and Francis Group, New York, NY, USA, 2016. https://doi.org/10.4324/9781315757421 DOI: https://doi.org/10.4324/9781315757421

Chandra, S., Srivastava, S. C., & Theng, Y. L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis. Communications of the Association for Information Systems, 27(1), 561-588. https://doi. org/10.17705/1CAIS.02729 DOI: https://doi.org/10.17705/1CAIS.02729

Chauhan, S. (2015). Acceptance of mobile money by poor citizens of India: Integrating trust into the technology acceptance model, Info, 17(3), 58-68. https://doi.org/10.1108/info-02-2015-0018 DOI: https://doi.org/10.1108/info-02-2015-0018

Chawla, D., & Joshi, H. (2020). Consumer attitude and intention to adopt mobile wallet in India– An empirical study, International Journal of Bank Marketing, 37(7), 1590-1618. https://doi. org/10.1108/IJBM-09-2018-0256 DOI: https://doi.org/10.1108/IJBM-09-2018-0256

Chiapa, C., and Prina, S. (2017). Conditional cash transfers and financial access: Increasing the bang for each transferred buck? Development Policy Review, 35(1), 23-38. https://doi.org/10.1111/ dpr.12199 DOI: https://doi.org/10.1111/dpr.12199

Chopra, K. (2019). M-wallet technology acceptance by street vendors in India. Proceedings of the 2nd International Conference on Data Engineering and Communication Technology, Advances in Intelligent Systems and Computing, Pune, Springer. https://doi.org/10.1007/978-981-13-1610-4_18 DOI: https://doi.org/10.1007/978-981-13-1610-4_18

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 DOI: https://doi.org/10.2307/249008

De Luna, I. R., Liébana-Cabanillas, F., Sánchez- Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depends on the technology applied. Technological Forecasting and Social Change, 146, 931-944. https://doi.org/10.1016/j. techfore.2018.09.018 DOI: https://doi.org/10.1016/j.techfore.2018.09.018

Feyen, E., Frost, J., Gambacorta, L., Natarajan, H., & Saal, M. (2021). Fintech and the digital transformation of financial services: implications for market structure and public policy, (BIS Papers, No 117). https://www.bis.org/publ/bppdf/ bispap117.pdf

Fornell, C., & Larcker, D.F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388. https://doi. org/10.2307/3150980 DOI: https://doi.org/10.1177/002224378101800313

Hair J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis, 8/e, Cengage Learning.

Klein, M., & Mayer, C. (2011). Mobile banking and financial inclusion: The regulatory lessons. Policy Research Working Paper No. 5664. https://doi. org/10.1596/1813-9450-5664 DOI: https://doi.org/10.1596/1813-9450-5664

Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age, Computers in Human Behavior, 35, 464-478. https://doi.org/10.1016/j. chb.2014.03.022. DOI: https://doi.org/10.1016/j.chb.2014.03.022

Lu, Y., Yang, S., Chau, P. Y., & 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.2011.09.006 DOI: https://doi.org/10.1016/j.im.2011.09.006

Mathews, F., & Bhosale, A. (2021). Understanding the factors influencing street vendors towards use of digital payment systems in India. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). https://doi.org/10.1109/ ICRITO51393.2021.9596315 DOI: https://doi.org/10.1109/ICRITO51393.2021.9596315

Merhi, M., Hone, K., & Tarhini, A. (2019). A crosscultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy, and trust. Technology in Society, 59, 1-12. https://doi. org/10.1016/j.techsoc.2019.101151 DOI: https://doi.org/10.1016/j.techsoc.2019.101151

Mishra, V., Walsh, I., & Srivastava, A. (2022). Merchants’ adoption of mobile payment in emerging economies: the case of unorganized retailers in India. European Journal of Information Systems, 31(1), 74-90. https://doi.org/10.1080/096 0085X.2021.1978338 DOI: https://doi.org/10.1080/0960085X.2021.1978338

Moghavvemi, S., Mei, T. X., Phoong, S. W., & Phoong, S. Y. (2021). Drivers and barriers of mobile payment adoption: Malaysian merchants’ perspective. Journal of Retailing and Consumer Services, 59, Article 102364. https://doi. org/10.1016/j.jretconser.2020.102364 DOI: https://doi.org/10.1016/j.jretconser.2020.102364

Mukhopadhyay, S., & Upadhyay, P. (2022). Institutional intervention in technology innovation: The struggle to increase mobile payment adoption. Digital Policy, Regulation and Governance, 24(1), 74-92. https:// doi.org/10.1108/DPRG-01-2021-0002 DOI: https://doi.org/10.1108/DPRG-01-2021-0002

Noor, N., Batool, I., & Arshad, H. M. (2020). Financial literacy, financial self-efficacy, and financial account ownership behavior in Pakistan. Cogent Economics & Finance, 8(1), 1-17. https://doi.org/ 10.1080/23322039.2020.1806479 DOI: https://doi.org/10.1080/23322039.2020.1806479

Pal, J., Chandra, P., Kameswaran, V., Parameshwar, A., Joshi, S., & Johri, A. (2018). Digital payment and its discontents: Street shops and the Indian government’s push for cashless transactions. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 229.1-13. https://doi.org/10.1145/3173574.3173803 DOI: https://doi.org/10.1145/3173574.3173803

Rahman, M. M., & Sloan, T. (2017). User adoption of mobile commerce in Bangladesh: Integrating perceived risk, perceived cost and personal awareness with TAM. The International Technology Management Review, 6(3), 103-124. https://doi. org/10.2991/itmr.2017.6.3.4 DOI: https://doi.org/10.2991/itmr.2017.6.3.4

Ravikumar, T., & Prakash, N. (2022). Determinants of adoption of digital payment services among small fixed retail stores in Bangalore, India. International Journal of Business Innovation and Research, 28(3), 319-346. https://doi.org/10.1504/IJBIR.2022.124123 DOI: https://doi.org/10.1504/IJBIR.2022.124123

Rana, N. P., Dwivedi, Y. K., Lal, B., Williams, M. D., & Clement, M. (2017). Citizens’ adoption of an electronic government system: towards a unified view. Information Systems Frontiers, 19(3), 549- 568. https://doi.org/10.1007/s10796-015-9613-y DOI: https://doi.org/10.1007/s10796-015-9613-y

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2016). Adoption of online public grievance redressal system in India: Toward developing a unified view. Computers in Human Behavior, 59, 265-282. https://doi.org/10.1016/j. chb.2016.02.019 DOI: https://doi.org/10.1016/j.chb.2016.02.019

Rizwana, M., Singh, P., & Raveendra, P. V. (2021). Promoting financial inclusion through digital wallets: An empirical study with street vendors. (A. Ananda & D. Singh (Eds) Financial Inclusion in Emerging Markets. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-16- 2652-4_14 DOI: https://doi.org/10.1007/978-981-16-2652-4_14

Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675-1697. https://doi.org/10.1108/MD-09-2019-1318 DOI: https://doi.org/10.1108/MD-09-2019-1318

Singh, N., & Sinha, N. (2020). How perceived trust mediates a merchant’s intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, Article 101894. https://doi. org/10.1016/j.jretconser.2019.101894 DOI: https://doi.org/10.1016/j.jretconser.2019.101894

Sleiman, K. A. A., Juanli, L., Cai, X., Lei, H., & Liua, R. (2021). Antecedents of the Adoption of the New Mobile Payment System in Sudan. Revista Argentina de Clínica Psicológica, 30(2), 212. https://doi.org/ 10.24205/03276716.2020.4020

Tiwari, P., Tiwari, S. K., & Gupta, A. (2021). Examining the impact of customers’ awareness, risk and trust in m-banking adoption. FIIB Business Review, 10(4), 413-423. https://doi. org/10.1177/23197145211019924 DOI: https://doi.org/10.1177/23197145211019924