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The power industry with its large capital expenditure, complex money movements, and enforcement of stringent regulations is amid a fast-forward digitization journey. In the context of this landscape, blockchain has drawn a lot of interest with its potential to increase financial transparency, operational effectiveness and trust of stakeholders. The current research is an empirical examination of the relationship between blockchain adoption and the health of the financial performance of an organization in the power sector using Trust Theory as a theoretical approach. A questionnaire which comprised structured questions was conducted to 270 professionals working in the industry of generation, distribution, transmission and regulatory organisations in India. To assess the direct and indirect effect of the blockchain adoption on investor outcome and financial performance, the data used were analyzed using partial lease squares structural equation modeling (PLS-SEM). The results prove that blockchain adoption experience extremely positive impacts on the financial efficiency as well as perceived trust which, respectively, have a positive impact on the investor confidence and financial performance. More importantly, the direct relation between blockchain adoption and investor confidence was found to be statistically insignificant, and so the mediational roles of (trust and efficiency) should not be overlooked. The research has practical implications to policymakers, regulators, and energy companies aiming to revolutionize the approaches to financial systems using blockchain. In addition, regulatory uncertainties, their complexity of integration, and magnitude impediments are noted as the most significant adoption obstructions. Future areas of investigation are longitudinal reviews, examinations of hybrid forms of blockchain and cost-benefit analyses of energy sub-sectors.

The organizations negotiate a more dynamic and competitive business environment, strategic utilization of Human Resource Analytics (HRA) has emerged as a vital component impacting organizational agility and operational performance. This research uses the Technological-Organizational-Individual-Environmental (TOIE) model to analyze the factors that influence HRA adoption and its subsequent effects on organizational dynamics. The study collected data from 678 HR manager’s responses from different organizations in India. The data were analyzed utilizing smart pls 4.0 to perform Partial Least Squares Structural Equation Modelling (PLS-SEM). The study found that cloud-based systems, job search engines, Internet of Things (IoT) devices, information systems, team creation, actionable insights, sustainable talent acquisition, performance evaluation, storytelling ability, and competitiveness have a significant impact on HRA adoption. Furthermore, the study shows that HRA adoption has a positive impact on organizational agility and operational performance. Understanding the TOIE model of the study holds implications for academia, practitioners, and organizational leaders seeking to leverage HR analytics for strategic advantage in a quickly evolving business landscape.

This paper explores the impact of advanced technologies on the adoption of human resource (HR) analytics in organizations, with a particular focus on the Indian context. Despite the growing importance of HR analytics for data-driven decision making, many organizations struggle to integrate these tools effectively. This paper addresses the problem of understanding how exponential technologies, such as chatbots, big data, machine learning (ML), artificial intelligence (AI), neural fuzzy networks and social media networks, can facilitate HR analytics adoption. Data collected from 669 HR managers were analyzed using partial least squares-structural equation modeling (PLS-SEM) with SmartPLS 4.0 to validate the research model. The findings reveal that these technologies significantly enhance the adoption of HR analytics, offering practical insights for HR practitioners and organizations seeking to leverage digital tools for competitive advantage. The uniqueness of the study lies in its comprehensive examination of the role of exponential technologies in overcoming the barriers to HR analytics adoption, making it a valuable addition to the existing literature.