International Research and Innovation Summit 2017 | |
The Impact of Soft Factors on Quality Improvement in Manufacturing Industry | |
Chan, Shiau Wei^1 ; Ahmad, Md Fauzi^1 ; Kong, Mei Wan^1 | |
Department of Production and Operation Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Johor, Batu Pahat, Malaysia^1 | |
关键词: Correlation analysis; Descriptive analysis; Employee involvement; Manufacturing industries; Organisational performance; Quality improvement; Supplier relationships; Training and education; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/226/1/012025/pdf DOI : 10.1088/1757-899X/226/1/012025 |
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来源: IOP | |
【 摘 要 】
Nowadays, soft factors have become the key factors of success in quality improvement of an organisation. Many organisations have neglected the importance of soft factors, this may influence the organisational performance. Hence, the purpose of this research is to examine the impact of soft factors on quality improvement in manufacturing industries. Six hypotheses were examined while considering six dimensions of soft factors including management commitment, customer focus, supplier relationship, employee involvement, training and education, and reward and recognition that have a positive impact on quality improvement. In this study, eighty one managers from the quality department were randomly selected in the manufacturing industry in Batu Pahat, Johor. The questionnaires were distributed to them. The researcher analysed the quantitatively collected data using descriptive analysis and correlation analysis. The findings of this study revealed that all soft factors are correlated to the quality improvement in an organisation with a high significant value but the regression analysis shows that the supplier relationship and employee involvement has more significant impact on quality improvement as compared to other soft factors which contributes of this study.
【 预 览 】
Files | Size | Format | View |
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The Impact of Soft Factors on Quality Improvement in Manufacturing Industry | 267KB | download |