The increasing adoption of Artificial Intelligence (AI) has transformed strategic human resource management by enabling organizations to predict workforce outcomes more accurately. However, most existing studies focus primarily on employee attrition prediction and provide limited guidance for translating predictive ins...
A. Bhargava· Journal of Intelligent Decis...· 0 citations
The study suggests an AI-based decision-making model to predict supply chain resilience and aid sustainable operational performance and proposes a framework that effectively combines predictive analytics, sustainability assessment, and operational optimisation in a comprehensive decision-support system.
A. Bhargava, Sahana Shree N, Kush Narayan Dwivedi et al.· The Journal of Theoretical A...· 0 citations
There was little correlation between AI use and job satisfaction and between AI use and reported changes in productivity, and more significant relationships were found among indicators of organizational targets, promotion, and AI tool use and task automation.
A. Bhargava, L. Babu, Mumpi Das· European Journal of Prosthod...· 0 citations
Financial accounting and corporate finance are complementary mechanisms for value creation and risk optimization because both domains influence how firms measure performance, allocate capital, manage financing choices, and control financial risk. The article argues that accounting information is not merely a reporting...
A. Bhargava, Ankita Jain, A. Baral et al.· The Journal of Theoretical A...· 0 citations
The results prove that ensemble machine learning is a credible and explainable approach to electricity price prediction, which can be utilized for procurement planning, budgeting, production scheduling, and decision-making for business and industry.
A. Bhargava· Journal of Intelligent Decis...· 0 citations
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