شناسایی و رتبه‌بندی عوامل موثر بر بهره‌وری سازمان با استفاده از مدل دیماتل
الموضوعات :
1 - کارشناس ارشدمدیریت صنعتی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران
2 - دانشیار، گروه مدیریت صنعتی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات
الکلمات المفتاحية: رتبه بندی, تصمیم‌گیری, بهره‌وری, روش دیماتل,
ملخص المقالة :
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.
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- 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.
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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.
