Predictive Analysis Of The Performance Of Mid-Level Employees At Bharat Electronics Limited, Bangalore

Abstract

The paper reviews the Competency framework at Bharat Electronics Limited (BEL), Bangalore for a mid-level employee and investigates a predictive framework that is based on multiple linear regression. BEL is a Defense Public Sector Undertaking awarded a Navratna status that manufactures electronics and weapons systems for the Indian armed forces. Presently, the performance management at BEL is based on Ernst & Young's (2016) assessment report, however with the changing expectations of business along with the shifting aspirations of employees, there is a need to re-evaluate the underlying constructs that lead to superior performance.

The authors have undertaken an exhaustive literature review and modified the existing competency framework to include additional constructs that relate to the personal profile of the employee. The data for the research was collected using a Structured Questionnaire for a sample size of 141 employees. EFA was applied to the 32 items of behavioral competencies and it emerged that seven factors contributed significantly to the Performance of employees. These factors were then subjected to multiple linear regression to predict the Performance. The finding of the regression indicated that the general model of multiple linear regression is statistically significant for two behavioral competency factors viz. Passion for Achievement & Leveraging partnership, Drive for Excellence & Winning with change along with Technical competency and Emotional Intelligence. Besides, four attributes related to personal profile viz. Tenure, Punctuality, Children and Health of the employee were also found to be statistically significant in determining Performance. The research findings are of significance for management in identifying the constructs of competencies and the attributes of personal profile that lead to higher Performance of employees and for policymakers to seize the opportunity conceptualized by the research work and formulate appropriate competency framework for their organizations.