Study and prioritising factors of productivity of the employees of steel manufacturing industry, Kanjikode by extended ACHIEVE model Online publication date: Wed, 29-Jul-2020
by V.G. Vinu; A. Oliver Bright
International Journal of Enterprise Network Management (IJENM), Vol. 11, No. 3, 2020
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.
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