Author:
Nandru Prabhakar,Senthilkumar S. A.
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.
Publisher
Informatics Publishing Limited
Reference34 articles.
1. 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.
2. 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.
3. 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
4. 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
5. 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