1Research scholar at GNA Business School (GBS), Phagwara and an Industry Fellow at SoB-UPES.
2Sr Lecturer at the Birmingham City University - RAK Campus.
3Associate Professor (Human Resource Function) at GNA Business School (GBS), GNA University, Phagwara, Punjab (India).
4Faculty in REC Institute of Power Management & Training (RECIPMT), the training arm of REC Ltd.
Online Published on 01 December, 2022.
The HR Digitalisation and AI research trend in Water and Energy Sector using a four-step review methodology is the aim of this paper. The selection criteria resulted in three hundred twenty-seven publications applying the exclusion-inclusion criterion and validation tool, MMAT leading to twenty articles for content analysis. The HR Digitalisation and AI highlight the research trends on the role of Energy in nexus to land-water-transport infrastructure technology and its role in the development and the importance of commoner's awareness in using technology for sustainable practices. The findings indicate that social and employee readiness is a category that is less addressed in HR Digitalisation and AI literature, especially in the energy and water sector. However, the nexus approach is pretty managed. The Water & Energy (W&E) sector's Digitalisation literature shows the deployment of cutting-edge tools like Artificial Intelligence and Cloud-based integration of performance management processes. Data analytics tools like predictive analytics are also being deployed to understand employee performance patterns and inject predictability in predicting star performers. Cutting-edge tools like AI, Cloud-based, and mobile-based solutions are now increasingly used to manage people's performance-related processes. The review contributes by discussing the research trend in the light of industry examples of Adani Enterprise Limited, Tata Power, JSW Power, NTPC and NHPC.
Water and Energy Sector, Digital Human Resource, Digital Tools, Review Methodology, Cloud-based Digital Technology, Artificial Intelligence
