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Examining Training as a Moderator in the Relationship Between People Analytics and Employee Performance.
- Source :
- Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p6236-6242, 7p
- Publication Year :
- 2024
-
Abstract
- This paper seeks to establish how employee training mediates the relationship between people analytics and employee performance in organized retail stores. People analytics, the use of data to inform human capital decision making, has been popularized as a strategy for increasing workplace productivity. However, the utilization of these analytics can be affected by some factors such as lack and/or poor quality of training programmes for employees. The following is the research question that is in line with the objective of this research: Is training a moderating factor that will help in cementing the positive relationship between people analytics and employees' performance? The data was collected through a quantitative survey of employees and managers in organized retail stores in Punjab. Data analysis was done using regression analysis to confirm the proposed hypotheses and moderation analysis. The research evidence shows that with employee training, people analytics has a positive effect on performance as the application of data-driven insights is enhanced. This study highlights the important finding that organizations can achieve more effective people analytics training and ensure better employee outcomes as a consequence by focusing on the areas of greatest benefit. This research enriches the body of knowledge in human resource analytics through underlining the role of training as an essential element in the enhancement of performance through the application of people analytics. The theoretical findings are applied to HRM and the management of organizations, focusing on the application of analytics and training for human capital. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09701052
- Volume :
- 44
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Library of Progress-Library Science, Information Technology & Computer
- Publication Type :
- Academic Journal
- Accession number :
- 180917807