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

机译:钢铁制造业员工生产力的研究与优先考虑,Kanjikode通过扩展实现模型

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摘要

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.
机译:员工生产力是制造公司成功的关键因素。使用各种方法的性能分析研究以提高员工生产力。然而,这些研究只考虑了一个或两个因素,这可能无法为他们所面临的生产率问题提供全面的解决方案。已经提出了一个扩展的实现模型,以克服这一点来克服这一点,具有额外的因子m-'material'。基于这一新模式的调查分析已经在Kanjikode钢铁制造业的员工中进行。这是一个结构方程式建模分析,其填写的调查问卷数据从1,280名员工的人口中随机选择的420名员工进行了随机选择的420名员工。结果表明,机械模型的所有八个因素对员工生产力产生影响。分析还表明,C-Clarity和H-Hele的因素对劳动生产率的影响最大。

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