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February 25, 2026SN Business & Economics3 citationsOpen Access

Exploring the constructs of the effectiveness of financial inclusion: a confirmatory structural equation modelling (SEM) approach

SKS Shanker KumarFHFakhrul Hasan

Key Points

  • The study aims to develop and validate a model for measuring the effectiveness of financial inclusion.
  • Descriptive approach using convenience sampling with a sample size of 405.
  • Utilized structural equation modelling (SEM) to analyze parameters and test hypotheses.
  • Focused on various dimensions of financial inclusion, including mobile and blockchain technologies.
  • Financial inclusion levels have improved awareness about financial inclusion schemes.
  • Increased hands-on usage of financial inclusion services observed.
  • Financial inclusion shown to potentially enhance living standards across society.

Abstract

Abstract The Financial inclusion program focuses on providing financial solutions for marginalized segments in India, with practically no indications of imbalance. The aim of the current study is to develop and validate a model that explains various dimensions of measuring the effectiveness of financial inclusion. This study adopted a descriptive approach using a convenience sampling method ( N = 405). The Structural Equation Modelling (SEM) was used to understand the parameters and test the hypotheses. The findings showed that financial inclusion levels have increased familiar progressive opinions about financial inclusion schemes and towards hands-on usage of financial inclusion schemes. Thus, financial inclusion can be used to drive activities across all divisions of society, thereby increasing the standards of living. This outcome shows the potential for financial inclusion towards bring about a change in the state of Tamil Nadu. Thus, research can study diverse dimensions of financial inclusion, such as mobile-based financial services, and concentrate towards progressing financial inclusion schemes using blockchain Technology, Fintech Approach and AI.

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Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/699e91b2f5123be5ed04f6c9https://doi.org/10.1007/s43546-026-01090-z
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