Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India

Research Article

Exploring the Innovativeness of Street Vendors in Embracing AI-powered FinTech services: A Comparative Study

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  • @INPROCEEDINGS{10.4108/eai.23-11-2023.2343169,
        author={David  Joseph and Grish  S},
        title={Exploring the Innovativeness of Street Vendors in Embracing AI-powered FinTech services: A  Comparative Study},
        proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India},
        publisher={EAI},
        proceedings_a={IACIDS},
        year={2024},
        month={3},
        keywords={artificial intelligence fintech post pandemic street vendors tam},
        doi={10.4108/eai.23-11-2023.2343169}
    }
    
  • David Joseph
    Grish S
    Year: 2024
    Exploring the Innovativeness of Street Vendors in Embracing AI-powered FinTech services: A Comparative Study
    IACIDS
    EAI
    DOI: 10.4108/eai.23-11-2023.2343169
David Joseph1,*, Grish S1
  • 1: CHRIST (Deemed to be University) India
*Contact email: david.joseph@christuniversity.in

Abstract

The integration of AI-powered FinTech services into daily life is increasingly crucial, with the Indian Government's Digital India initiatives driving rapid adoption, particularly among post-pandemic street vendors. This study focuses on understanding the determinants that shape the intention for using AI-powered FinTech facilities through mobile platforms, a critical component of Digital Financial Services (DFS). It employs an modified Technology Acceptance Model (TAM) to explore determinants that impact or inhibit AI-powered FinTech adoption. Gathering 580 responses, with 415 actively using these services, this research utilizes Partial Least Squares-Structural Equation Model (PLS-SEM) analysis. Notably, this research pioneers validated evidence on AI-powered FinTech adoption, emphasizing perceived value over perceived ease of use. Educational qualifications negatively impact ease of use, making technology acceptance a crucial predictor for street vendors.