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

Q3 Business, Management and Accounting International Journal of Enterprise Network Management Pub Date : 2020-07-17 DOI:10.1504/IJENM.2020.10021930
V. Vinu, A. Bright
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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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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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