شناسایی و رتبه‌بندی عوامل موثر بر بهره‌وری سازمان با استفاده از مدل دیماتل
محورهای موضوعی : مدیریت بازرگانی
ندا کیانی
1
(کارشناس ارشدمدیریت صنعتی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران)
رضا رادفر
2
(دانشیار، گروه مدیریت صنعتی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات)
کلید واژه: رتبه بندی, تصمیم‌گیری, بهره‌وری, روش دیماتل,
چکیده مقاله :
بهبود کیفی عامل کار، کسب مهارتهای جدید وشناسایی عوامل دیگر به سازمان کمک می کند در جهت ارتقای خود تلاش کند. هدف این مطالعه شناسایی مؤثرترین عامل ها برای ارتقای بهره وری سازمان می باشد. این تحقیق به لحاظ روش از نوع پیمایشی و از حیث هدف، کاربردی است. برای جمع آوری داده های پژوهش، پرسش نامه ای تهیه، با بررسی نظر خبرگان و استفاده از آزمون کرونباخ روایی و پایایی سؤالات مورد سنجش قرار گرفته است. تجزیه و تحلیل داده ها با استفاده از مدل دیماتل، ارتباط بین معیارهای علت و معلول را می توان به یک ساختار هوشمند برای سیستم تبدیل کرد، هدف مدل رتبه بندی و شناسایی شاخص های تأثیر گذار بر بهره وری سازمان صندوق رفاه دانشجویان وزارت بهداشت و آموزش پزشکی می باشد. نتایج حاصل از این بررسی نشان می دهد که عوامل اجتماعی-روانی تأثیر شگرفی بر بهره وری سازمان دارند.
Improvement of the quality of work factor, acquisition of new skills, and identification of other factors help the organization to make efforts to upgrade itself. The present study aims to identify the most effective factors on improving organizational productivity. The research is a survey regarding its method and applied from the viewpoint of its objective. For data collection a questionnaire was used. The validity of the questionnaire was confirmed by obtaining the approval of ten experts and its reliability was measured through the use of Cronbach’s alpha. The data were analyzed by DEMATEL modal, which turned the relationship between cause and effect criteria into an intelligent structure for the system. The purpose of the model was ranking and identifying the indices effective on the productivity of the student welfare fund of the Ministry of Health and Medical Education. The results of the research indicate that the social- psychological factors have a significant effect on the productivity of the organization.
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- Tolentino, A. L. (2004). New Concepts of Productivity and its Improvement. The European Productivity Network Seminar.
- Tzeng Gh., Chiang, Ch., & Li, C. W. (2007). Evaluating Intertwined Effects in E-Learning Programs: A Novel Hybrid MCDM Model Based on Factor Analysis and Dematel.
- Wang, W. Ch., Chia-Li, L., & Ming-Tsung, L. (2010). Using SIA and Dematel to Identify the Factors Affecting Design Delays. 27th International Symposium on Automation and Robotics in Construction.
- Wu, L. (2007). Developing Global Managers Competencies Using the Fuzzy Dematel Method.
- Yang, X., & Hiroshi, M. (2013). Efficiency Improvement from Multiple Perspectives: An Application to Japanese Banking Industry. Omega Magazine, 41(3), 501-509.
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- Al Mejren, A. (1999). Labor Productivity and Wages in the Kuwaiti Economy. Journal of Development and Economic Policies, 1(2), 59-88.
- Bernad, C., Lucio, F., & Jaime, G. (2010). The Effect of Mergers and Acquisitions on Productivity: An Empirical Application to Spanish Banking. Empirical Research in the EU Banking Sector and the Financial Crisis, 38(5), 283-293.
- Blocher E., Stout, D., Cokins, G., & Chen, K. (2008). Cost Managemen”t, a Strategic Emphasis, England: Mc Graw Hill.
- Cparadi, J., & Haiyan, Z. H. U. (2013). A Survey on Bank Branch Efficiency and Performance Research with Data Envelopment Analysis. Omega Magazine, 41(1), 61-79.
- Gnote, D. G. (2004). Painless Performance Appraisals Focus on Results. Behaviors.
- Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley.
- GWO-Hushiung, T. (2009). Multiple Attribute Decision Making: Methods and Applications.
- Hiller, L. (2001). Advance Praise For Introduction To Orations Research. McGraw-Hill.
- Hitchens, D., Wagner, K., & Bimie, J. (1991). Improving Productivity Through International Exchange Visits. Omega Magazine, 19(5), 361-368.
- Horngren, C. T., & Foster, D. (2006). Cost Accounting: A Managerial Emphasis. New Jersey: Prentice-Hall.
- Jackson, H. J. (1998). Decision Elements for Using. Human Resource, 18-28.
- Kao, Ch., Liang-Hsuan, Ch., Tai-Yue, W., & Shyanjaw, K. (1995). Productivity Improvement: Efficiency Approach VS Effectiveness Approach. Omega Magazine, 23(2), 197-204.
- Longnecker, O. C. (1997), “Keys to Designing and Running an Effective Performance. Journal of Compensation and Benefits, 28.
- Mathis, L. R., & Jackson, H. J. (2007). Human Resource Management. South- Western College Pub.
- Mitchell, M. (1996). An Introduction to Genetic Algorithms. Cambridge: MIT Press.
- Mawson P., I. K. C. & McLellan, N. (2003). Productivity Measurement: Alternative Approaches and Estimates. Working Paper, 3-12.
- Namazi. M. (2009). Performance Focused ABC. Cost Management Informs Global, 34-45.
- Parrotta P., Pozzoli, D., & Pytlikova, M. (2010). Does Labor Diversity Affect Firm Productivity?. Working Denmark Paper, 10-12.
- Silver, M., & Alan, B. (1986). Potential Productivity: Concepts and Application. Omega Magazine, 14(6), 443-452.
- Sullivan, J. (2011). Increasing Employee Productivity: The Strategic Role That HR Essentially Ignores. Talent Management ERE.
- Sutermeister, A. R. (1976). People and Productivity. McGraw-Hill.
- Tolentino, A. L. (2004). New Concepts of Productivity and its Improvement. The European Productivity Network Seminar.
- Tzeng Gh., Chiang, Ch., & Li, C. W. (2007). Evaluating Intertwined Effects in E-Learning Programs: A Novel Hybrid MCDM Model Based on Factor Analysis and Dematel.
- Wang, W. Ch., Chia-Li, L., & Ming-Tsung, L. (2010). Using SIA and Dematel to Identify the Factors Affecting Design Delays. 27th International Symposium on Automation and Robotics in Construction.
- Wu, L. (2007). Developing Global Managers Competencies Using the Fuzzy Dematel Method.
- Yang, X., & Hiroshi, M. (2013). Efficiency Improvement from Multiple Perspectives: An Application to Japanese Banking Industry. Omega Magazine, 41(3), 501-509.
