• Chirag Gupta

Understanding the dynamics of acceptance-related influence processes is important for theoretical as well as practical reasons. This paper examined the acceptance of Fintech services through a combination of supply side and demand side drivers. The objective of this research is to identify the factors that compel users to accept Fintech services. In order to achieve this goal, this study aimed to develop a model on Fintech service acceptance by utilizing the Elaboration Likelihood Model (ELM) proposed by Petty and Cacioppo and selecting variables of the Technical Acceptance Model (TAM) proposed by Davis and several other variables. In addition, it adopted Concern for Information Privacy (CFIP), an increasingly aggravating problem in India’s financial industry, and self–efficacy as moderating variables to examine their impact on intention to use.

"Analysis of fintech startups in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.k600-k610, April-2024, Available :http://www.jetir.org/papers/JETIR2404A81.pdf

"Analysis of fintech startups in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppk600-k610, April-2024, Available at : http://www.jetir.org/papers/JETIR2404A81.pdf