Human Resources Analytics: A Systematic Review From A Sustainable Management
Loading...
Files
Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
The use of data analysis to improve decision-making, increase efficiency, and align with sustainability goals has revolutionized human resources practices, or HRA. The impact of HRA on sustainable management is highlighted as this systematic review follows its development starting in the early 2000s. Descriptive, predictive, and prescriptive analytics are just a few of the analytical techniques used by HRA to improve human capital management. In order to get insight into historical occurrences, HR first relied on descriptive analytics. But as more advanced techniques became necessary, predictive analytics was used, allowing HR specialists to anticipate future patterns and take preemptive measures. With this change, a culture of learning, creativity, and adaptation was fostered and the integration of sustainability into HR procedures got underway.
Because predictive analytics in HRA analyzes data from multiple sources to comprehend employee preferences and behaviors, it has had a tremendous impact on both talent acquisition and retention. This methodical technique expedites the hiring process and guarantees that employee goals and organizational requirements are perfectly aligned.
Performance management has also changed from old, subjective evaluations to continuous
performance management tools. Data-driven assessments are made possible by these systems, allowing for customized development programs that match organizational strategy with individual goals. Utilizing sentiment analysis and social network analysis to anticipate
possible burnout and proactively address issues, HRA also improves employee engagement by measuring aspects like work-life balance and job satisfaction.