ISSN (Online): 2321 - 7782
ISSN (Print): 2347 - 1778

VOLUME 13, ISSUE 3, March - 2025

Exploring Dimensions of Workforce Diversity in Higher Education Institutes: An Empirical Study from Northern India

Author(s) :   Kanupriya Thakur1, Dr. Aditi Sharma2

Abstract : This study explores the multidimensional structure of workforce diversity within Higher Education Institutes (HEIs) in Northern India by identifying key dimensions and evaluating the reliability and construct validity of associated measurement items. Employing a descriptive and exploratory research design, the study utilized a systematic multistage sampling approach to collect data from 400 faculty members across various universities. Factor analysis was conducted to assess the underlying structure of workforce diversity, and the findings revealed four distinct and reliable dimensions: Receptivity to Diversity and Diversity Management (RECP), Equal Representation and Developmental Opportunities (EQUAL), Hire and Retain Diverse Employees (HIRE), and Promotion of Gender Diversity (GEND). All dimensions demonstrated strong internal consistency, with Cronbach’s alpha values exceeding the acceptable threshold. The Kaiser-Meyer-Olkin measure (.857) and Bartlett’s test (p < .001) confirmed the data’s suitability for factor analysis. The four extracted components explained 66.81% of the total variance, validating the multidimensional framework of workforce diversity. These findings provide empirical support for the structured assessment of diversity practices in academic institutions and offer insights for policymakers and administrators aiming to foster inclusive organizational cultures in HEIs.

Keywords: Workforce Diversity, Receptivity to Diversity, Equal Representation, Gender Diversity etc.

DOI : 10.61161/ijarcsms.v13i3.7

Pages : 62-68



How to Cite this aricle?
Thakur, K., Sharma, Dr. A. (2025). Exploring Dimensions of Workforce Diversity in Higher Education Institutes: An Empirical Study from Northern India. International Journal of Advance Research in Computer Science and Management Studies, 13(3), 62–68 https://doi.org/10.61161/ijarcsms.v13i3.7

*Authors are invited to submit papers through E-mail at editor.ijarcsms@gmail.com