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

V.G. Vinu and A. Oliver Bright

International Journal of Enterprise Network Management, 2020, vol. 11, issue 3, 220-232

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.

Keywords: ACHIEVE; MACHIEVE; productivity; employees; steel manufacturing. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijenma:v:11:y:2020:i:3:p:220-232

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