Prioritization Factors Effecting Productivity of Manpower in the Tile Industry by Combined Approach DEA and Multi Attribute Decision Making

Document Type : Original Article

Authors

1 Professor, Tarbiat Modares University.

2 PhD Student, Tarbiat Modares University.

3 MSc, Jahad Daneshgahi.

Abstract

Human resources compose the original and major capital of one organization that has very important role in the growth and development of organization, due to their abilities, skills and total trait. For this reason, human resource can be most important infrastructure of mental capital. On the other side in the complex and uncertain condition of nowadays that govern on the social, political and economical environment one of the elements that can help to survival of the organization is the productivity problem of human resources. For this reason, in this paper we try to identify most important effective element on Human Resources Productivity and in the next step will take ranking of this elements. After the collecting data by using of questioners, result answer in order to ranking of attributes by using of SAW, TOPSIS, ELECTRE,LA,LINMAP and TAXONOMY methods has been used. Since achieved results in different methods are not same in some cases, we use the DEA method for arriving to one total agreement of element ranks. The results showed that job security, competent supervisor and job satisfaction element toward other elements have more importance. 

Keywords


1. Azar, Adel and Abdolaliipour, Amir Hossein (2006). "An Evaluation of Provincial Business Organizations Using the MADM Approach", Business Research Journal, No. 2, pp. 159-9.
2. Alvani, Seyyed Mahdi and Ahmadi, Parviz (2001). "Designing Patterns of Factors Affecting Human Productivity", Journal of Humanities Teacher, Volume 5, Number 1, pp. 20-1.
3. Emami Meybidi, Ali (2005). "Principles of Measuring Efficiency and Productivity", Second Edition, Tehran: Institute for Business Studies and Research.
4. Ansari Renani, Qassem and Sabzieh Aliabadi, Sara (2009). "Prioritizing Effective Organizational Factors in Promoting Human Resource Productivity in Small Industries", Journal of Business Research, No. 39, pp. 64-49.
5. Saffarzadeh, Mahmoud-Rezaei, Abdolreza & Bazdar, Parisa (2007). "A Model for Measuring Fuel Productivity in the Land Transport Sector", Journal of Economic Research, No. 3, pp. 110-101.
6. Abbassian, Ezatollah and Mehregan, Nader (2007). "Measuring the Productivity Factors of Economic Sectors of the Country by Data Envelopment Analysis (DEA)", Journal of Economic Research, No. 87, pp. 176-153.
7. Mehrgan, MR (2006), "Quantitative Models in Evaluating Organizational Performance", Tehran: Faculty of Management, University of Tehran.
8. Mirnejad, Seyed Ali (2003), "Identification and Ranking of Factors Affecting the Productivity of Pars Refractory Products Using Multi Criteria Decision Making (MCDM) Techniques", MSc Thesis, Tarbiat Modares University.
9. Banker, R.D., Charnes, A & Cooper, W.W. (1984), »Some models for estimating technical and scale inefficiencies in data envelopment analysis«, Management Science, 30, 1078-1092.
10. Becker, B. E., Huselid, M. A. & Ulrich D. (2001), The HR scorecard. Massachusetts: Harvard Business Scholl Press, 235.
11. Cook W.D. and Seiford, L.M. (2009), »Data envelopment analysis (DEA) - Thirty years on«, European Journal of Operational Research, 192, 1-17.
12. Dolan, S & others. (2008), »Predictors of Quality of Work and Poor Health Among Primary Health-Care Personnel in Catalonia«, International Journal of Health Care, 203- 218.
13. Drucker, P.F. (1980), »The Practice of Management«, Harper & Row, New York.
14. Ghobadian, A. & Husband, T. (1990), »Measuring total productivity using production functions«, International Journal of Production Research, 28 (8), 1435-1446.
15. Gordon, R.J. (1987), »Productivity, Wage and Price inside and outside Manufacturing in the U.S, Japan and Europe«, European Economic Review, 31, 685-733.
16. Hwang, C.L. & Yoon, K. (1985), Multiple Attribute Decision Making, Springer.
17. Kuroda, Y. (1995), »Labor productivity measurement in Japanese agriculture 1956-90«, Agricultural Economics, 12, 55-68.
18. Lin, T., Lee, C. & Chiu, T. (2009), »Application of DEA in analyzing a bank's operating performance«, Expert Systems with Applications, 36, 8883-8891.
19. Lovell, C.A & Pastor, J.T. (1999), »Radial DEA models without inputs or without outputs«, European Journal of Operational Research, 118, 46-51.
20. Moseng, B. & Rolstadas, A. (2001), »Success factors in productivity process«, 10th World Productivity Congress.
21. Nassisi, S.M. & Singh, S. (2009). »Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique«, Applied Energy, 86, 1320-1325.
22. Sahay, B.S. (2005), »Multi-factor productivity measurement model for service organization«, International Journal of Productivity and Performance Management, 54, 7-22.
23. Shetty, V. K. (1992), »Management's Role in Declining Productivity«, California Management Review, 25 (1), 33-45.
24. Sink, D. (1985), »Productivity Management«, John Willy & Sons, 54 (1), 7-22.
25. Tangen, s. (2005), »Demystifying productivity and performance«, International Journal of Productivity and Performance Management, 54 (1). 34-46.
26. Wakeford, J. J. (2003), »Productivity, Wage and Employment in South Africa's Manufacturing Sector, 1970-2002«, Development Policy Research Unit.