Study and prioritizing factors of Productivity of the Employees of Steel Manufacturing Industry, Kanjikode by extended ACHIEVE Model

Q3 Business, Management and Accounting
V. Vinu, A. Bright
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引用次数: 0

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.
运用扩展的ACHIEVE模型对钢铁制造业员工生产率要素进行研究和排序
员工的生产力是制造企业成功的关键因素。绩效分析研究与广泛的方法被用于试图提高员工的生产力。然而,这些研究只考虑了一两个因素,这可能不会为他们面临的生产力问题提供全面的解决方案。为了克服这个问题,提出了一个名为MACHIEVE模型的扩展ACHIEVE模型,并增加了M-“材料”因素。在此基础上,对钢铁制造企业职工进行了调查分析。这是一个结构方程建模分析,它使用了从1,280名员工中随机选择的420名员工的填写问卷数据。结果表明,MACHIEVE模型的8个因素都对员工生产率有影响。分析还表明,C-Clarity和H-Help对劳动生产率的影响最大。
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来源期刊
International Journal of Enterprise Network Management
International Journal of Enterprise Network Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
0.90
自引率
0.00%
发文量
28
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