Examining the Influence of Demographics on Job Performance: A Study of Indian IT Professionals
DOI:
https://doi.org/10.25215/1304.105Keywords:
Employee Performance, Human Capital Theory, IT Professionals, Job Performance, Life-span Development Theory, Social Exchange Theory, Work Experience, Workplace PracticesAbstract
The present research explores the association of demographic characteristics such as gender, income, age, marital status, years of work experience, and the educational qualification with job performance of IT employees in India. Based on Human Capital Theory, Role Theory, Life-Span Developmental Theory, and Social Exchange Theory, study adopts the quantitative approach and was conducted through a survey using structured questionnaires administered to lower and middle management professionals working in top IT companies of India. The findings indicate that income, educational qualification, and work experience affect different aspects of job performance whereas gender, marital status and age have little or no significant influence. These findings argue for a fundamental shift in terms of how we conceptualize performance management, moving away from demographic based assumptions to being centered around individual competencies and the contextual factors involved. Transformational factors outlined are fairness in workplace practices and developmental interventions such as performance rewards, formal learning, and mentorship. The results provide HR practitioners and policy makers with insights into improving recruitment, training and performance appraisal methods. By investigating the role of demographic characteristics, the study provides a more nuanced view based on performance in terms of understanding of the workforce in the context of the rapidly changing Indian IT industry.Published
2025-12-10
How to Cite
Sulakshna Dwivedi, Dharmpal Deepak, & Shashi Kapoor. (2025). Examining the Influence of Demographics on Job Performance: A Study of Indian IT Professionals. International Journal of Indian Psychȯlogy, 13(4). https://doi.org/10.25215/1304.105
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