Artificial Intelligence in Supply Chains and Finance: Driving Efficiency and Risk Management

(Syed Mohammad Faisal)

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Abstract

The prevailing investigation targets to discover the extent to which artificial intelligence (AI) is significant in enhancing the efficacy of value-creation processes, monetary approaches, and supply chains in Indian corporations. The data was analysed using a quantitative technique, and a sample of 736 respondents was taken from a population of 850 professionals which is of around 86% of the overall response from the respondents that enables robust and reliable findings for the application of structural equation modelling using smart PLS across various industries like financial companies and related Information Technology companies in India.  This sampling approach secures a high response rate to ensure SmartPLS that the data will be accurate for analysis. This study aims to explore the impact of the integration of artificial intelligence on operational efficiency and risk management. Significant outcomes include new value propositions, enhanced supply chain responsiveness, and sound financial decisions. Examining the direct and indirect effects of AI on outcomes finds some significant associations and relationships. These insights on strategic decision-making and competitive advantage call for a more nuanced understanding of the evolving effects of artificial intelligence for Indian enterprises.
KEYWORDS
Competitive advantage, financial decision, financial strategy, indian enterprises, operational efficiency, value creation

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