Author(s): Neha Sangwan and Anjala Kalsie
Purpose – The purpose of this paper is to provide comprehensive analysis and synthesis of the antecedents affecting mapping of digital finance or fin-tech in India. Methodology/Design/approach – This study proposes to provide a comprehensive literature review on Scopus database using relevant keywords and perform PRISMA, weight and meta-analysis. Findings – By reviewing 50 studies, it was found that Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), meta-UTAUT, and Information System Success Theory are major theories used in research studies. The best predictors for digital finance adoption in India are performance expectancy, perceived usefulness, compatibility, facilitating condition, trust, and attitude significantly influence intention to adopt digital payments while social influence, and technology barrier have no significant influence and perceived security, perceived risk, perceived ease of use, and effort expectancy has low significant influence on adoption of fin-tech. Research Limitation – Firstly, the current study provides literature review of papers related to India only. Secondly, the studies for this research were collected only from Scopus. Thirdly, not all published papers reported enough data to perform a meta-analysis and weight analysis, so they could not be included in the analysis. Originality/Value – This study has extended the future scope for researchers to explore the moderating or mediating effect of above and other variables in understanding behavioral intention to use fin-tech services along with effect of demographic variables.