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Study and prioritising factors of productivity of the employees of steel manufacturing industry, Kanjikode by extended ACHIEVE model

Author

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  • V.G. Vinu
  • A. Oliver Bright

Abstract

Employee productivity is a key factor for the success of manufacturing companies. Performance analysis studies with a wide range of approaches are used in an attempt to improve employee productivity. However, these studies take only one or two factor into consideration, which may not provide a comprehensive solution to the productivity problem they face. An extended ACHIEVE model by the name MACHIEVE model has been proposed to overcome this, with additional factor M-'Material'. Survey analysis based on this new model has been performed among employees in the steel manufacturing industry in Kanjikode. This is a structural equation modelling analysis which used filled questionnaire data of randomly selected 420 employees from among a population of 1,280 employees. The results indicated that all eight factors of MACHIEVE model has impact on employee productivity. The analysis also suggested that the factors C-Clarity and H-Help have the greatest impact on labour productivity.

Suggested Citation

  • V.G. Vinu & A. Oliver Bright, 2020. "Study and prioritising factors of productivity of the employees of steel manufacturing industry, Kanjikode by extended ACHIEVE model," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 11(3), pages 220-232.
    • Handle: RePEc:ids:ijenma:v:11:y:2020:i:3:p:220-232
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