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 Journal of Statistics and Management Systems cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

Connecting the gap between workforce diversity and emotional wellbeing of employees : An empirical study

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pp. 1443–1456Vol. 28Issue 8November 2025DOI: 10.47974/JSMS-1508XML
Received:
08 Apr 2025
Published Online:
24 Nov 2025
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1508
Pages:
1443–1456

Abstract

In the current business context, handling staff diversity has become a crucial component of human-based talent administration. This study investigates the effects of staff diversity administration on the emotional wellbeing of employees in Information Technology (IT) parks throughout Kerala. The research involved sending out surveys to workers from diverse organizations in various IT parks, chosen at randomly. Here, emotional wellbeing is regarded as the dependent variable and workforce diversity as the distinct one. Inadequate management of workforce diversity has the potential to adversely affect employees’ emotional well-being. The results suggest that a varied workforce—considering factors like gender, age, education level, marital status, race, and experience—can have a beneficial impact on the emotional wellbeing of staff in IT parks. There is a significant impact of internal, external and organizational diversity on employee emotional wellbeing in the information technology sector. The goal of this research is to investigate the impact of managing diversity in the staff on the emotional well-being of staff working for companies in IT parks. The empirical results, evaluated with the Statistical Package for the Social Sciences (SPSS), demonstrate a notable connection between managing staff diversity and the emotional wellbeing of workers in IT parks.

Keywords

Subject Classifications

62P2591C20

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