Impact of workforce diveristy on employee performance with special reference to IT FMCG and Telecom Industry in Gujarat

Abstract

With an easy access to technology and an easier availability of most of the resources, the only thing that can distinguish one organisation from another is its manpower. Organizations with Human capital advantage can always succeed in achieving their objectives as they consider employees as their ultimate strength and believe that investment on employees is definitely going to give high returns and help them achieve their objective. Organizations constantly strive to find out various ways and means of increasing employee productivity and performance and one such technique which is being practiced now a days is recruiting and managing a diverse workforce.Workforce diversity refers to employees with different Age , Gender , Education, Work Experience, Organizational Tenure, Region, Ethnicity , Caste , Colour , Race , Religion , Culture , disability , personality traits ,Work Experience, and similar related things. Acknowledging, understanding, accepting, valuing, and celebrating these differences refer to managing workforce diversity. After investing on and managing workforce diversity there has always been a debate whether there has been a significant impact of workforce diversity on employee performance .When employees with diverse background work together does it really impact their performance or that there is no significant impact of the same.To find out the same a research has been carried out to study the impact of workforce diversity on employee performance. The study has been conducted on a sample of 600 employees in Ahmedabad, Baroda, Surat and Rajkot in IT, Telecom and FMCG industry in the state of Gujarat. Exploratory as well as Descriptive research has been used for the study. Industry practitioners and academicians were contacted under exploratory research and employee survey was carried out under descriptive research. Data Analysis has been done using SPSS and AMOS. Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modeling and Frequency distribution has been used to achi