Factors Affecting the Acceptance of Modern Payment Systems in the Delhi NCR: An Empirical Study
Ramesh Kumar
Associate Professor, Department of Commerce
PGDAV College Eve (University of Delhi)
ORCID ID https://orcid.org/0000-0001-9601-2193
https://doi.org/10.47191/jefms/v7-i9-55
ABSTRACT:
Purpose:
This study looks at the factors affecting the acceptance of modern payment systems in the Delhi NCR area. It expects to recognize key segment and conduct determinants affecting the reception of advanced payment innovations.
Methodology:
An observational methodology was utilized, including an overview of 135 respondents from the Delhi NCR locale. Information were investigated utilizing ANOVA and relationship examinations to evaluate the effect of factors like age, orientation, training, pay, saw security, and convenience.
Findings/Results:
The study finds that younger age groups, higher income levels, and higher education levels are significantly associated with greater acceptance of modern payment systems. Perceived security and ease of use also play critical roles in influencing adoption rates.
Originality/Value:
This research provides a comprehensive analysis specific to the Delhi NCR context, filling gaps in existing literature on digital payment adoption in emerging markets. It offers valuable insights for financial institutions and policymakers aiming to enhance the adoption of digital payment systems.
Implications:
The findings suggest that targeted educational programs and security enhancements could improve the acceptance of modern payment systems. Policymakers and financial institutions can use these insights to design strategies that address the barriers and promote the benefits of digital payments.
Paper Type:
Empirical research paper focused on the factors affecting the acceptance of modern payment systems, providing actionable insights for stakeholders in the financial sector.
KEYWORDS:
Modern payment systems, digital payment adoption, Delhi NCR, demographic factors, perceived security, ease of use, financial technology, socio-economic variables.
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