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BARRIERS IN ADOPTION OF FINTECH BY STREET VENDORS AND HAWKERS IN INDIA USING INTERPRETIVE STRUCTURAL MODELING

  • Priti Bakhshi
  • , Reena Agrawal
  • , Suhan Mendon
  • , Daniel Frank
  • , Cristi Spulbar
  • , Ramona Birau*
  • , Robert Dorin Filip
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The adoption of financial technology (fintech) has the potential to make banking and financial services more accessible and convenient for all, but there are significant barriers preventing the adoption of fintech by street vendors and hawkers in India. This study aims to identify and analyse the barriers to fintech adoption using interpretive structural modelling (ISM). The research identified nine key barriers to fintech adoption, including perceived risk, lack of trust, lack of perceived benefit, social influence, lack of awareness, cash culture, lack of literacy, perceived ease of use, and lack of financial literacy. The study utilizes ISM to develop a hierarchy of these barriers and their interrelationships. The findings suggest that to promote the adoption of fintech, it is essential to build trust and awareness of fintech services through education and outreach programs. This research provides a comprehensive understanding of the barriers to fintech adoption among street vendors and hawkers in India and offers insights into how these barriers can be overcomed. The study contributes to the development of strategies that can help promote the adoption of fintech among marginalized populations and advance financial inclusion in India.

Original languageEnglish
Pages (from-to)231-240
Number of pages10
JournalBusiness: Theory and Practice
Volume25
Issue number1
DOIs
Publication statusPublished - 25-04-2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

All Science Journal Classification (ASJC) codes

  • Strategy and Management

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