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Determinants of Employee Performance: An Analytical Study with Reference to Public Power Generating Organizations of West Bengal

Author

Listed:
  • Saikat Chatterjee

    (Asstt. Manager (HR&A),The West BengalPower DevelopmentCorporation Ltd., India)

  • Dr. Debasish Biswas

    (Assistant Professor,Department of Business Administration,Vidyasagar University, India)

Abstract

The research has been conducted on state owned power sector of West Bengal to explore the factors which can influence performance of the employee. After 90s different private entrepreneurs are entering in this sector with modern technology which has actually made the business environment more challenging. State Public Sector Undertakings (PSUs) are trying to enhance their efficiency by improving performance of their employees. Since inception, these organizations have been operated almost without profit motive and largely as a social welfare purpose. Like other government organizations, pay is not related with performance of the employees rather it is governed by Revision of Pay and Allowance (ROPA) framed by the organization. Out of five state owned organizations, The West Bengal power Development Corporation Ltd (WBPDCL) has been identified as major stakeholder. The entire study focused on performance of the class III employees of WBPDCL who actually remain engage in Operation & Maintenance job of the organization. Out of 2072 number class III employees, 466 number employees have been identified as sample under stratified random sampling method. Respective reporting officers have been requested to rate the identified employees based on 18 parameters which has been identified from the review of existing literature in line with the research. On receipt of the response in prescribed questionnaire, the same has been classified under five dimensions using SPSS software. A model has been developed based on said factors which can predict potential performance of the Class III employees. A crystal clear understanding in this aspect will help the management to formulate appropriate strategy to manipulate performance of the employees.

Suggested Citation

  • Saikat Chatterjee & Dr. Debasish Biswas, 2017. "Determinants of Employee Performance: An Analytical Study with Reference to Public Power Generating Organizations of West Bengal," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 8(2), pages 38-46, May.
  • Handle: RePEc:aii:ijcmss:v:08:y:2017:i:2:p:38-46
    DOI: 10.18843/ijcms/v8i2/05
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    References listed on IDEAS

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    1. Vegard Skirbekk, 2004. "Age and Individual Productivity: A Literature Survey," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 133-154.
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