Sep 2026· International Journal of Economics and Financial Management· 0 citations
TL;DR
The findings suggest that blockchain adoption has a significant positive effect on market risk management, and the values of the coefficients indicate that blockchain adoption has a moderate to strong positive impact on market risk management.
Abstract
This study investigates the impact of blockchain technology on market risk management among
financial institutions. A quantitative cross-sectional survey design was employed, and data were
collected from 35 respondents using a structured questionnaire. The findings suggest that
blockchain adoption has a significant positive effect on market risk management (β = 0.50, p <
0.001). Perceived benefits also have a significant positive effect on market risk management (β =
0.30, p < 0.01), while perceived challenges have a significant negative effect (β = -0.20, p < 0.05).
The study's findings support the Technology Acceptance Model (TAM) and the Diffusion of
Innovation (DOI) theory. The values of the coefficients indicate that blockchain adoption has a
moderate to strong positive impact on market risk management. The perceived benefits of
blockchain technology, such as improved transparency and efficiency, contribute to its adoption
and positive impact on market risk management. However, perceived challenges, such as
regulatory uncertainty and technical complexity, hinder the adoption and impact of blockchain
technology.
The study's findings have implications for financial institutions, regulators, and policymakers.
Financial institutions should invest in blockchain technology to improve market risk management.
Regulators should provide clear guidelines and regulations for the adoption of blockchain
technology, and policymakers should provide incentives for financial institutions to invest in
blockchain technology.
These findings create a data-driven framework for human resources managers, digital transformation agents, and policy makers to collaboratively utilize AI and blockchain technology to increase their efficacy in talent prediction, credential validation, and workforce management within the context of developing economies...
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