ISSN: 2225-8329
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Monitoring and evaluation are concepts that has long been considered as one of the main tasks of management and economics, thus the performance evaluation of subject is not an issue that is pointed out today. But what is certain is the attitudinal change that has been made in this regard which it is regarded as a means of improving performance. To gain and maintain competitive advantages, companies should seriously evaluate their performance as well as pay attention to their financial and non-financial aspects of performance. The use of new tools as well as a more precise evaluation of the performance is concerned by many organizations and data envelopment analysis (DEA) is one of these tools. Data envelopment analysis as an efficient tool in the evaluation of decision making units’ function similarly has found great applications. This tool uses a series of tangible organizational inputs and outputs to assess organizational performance. Data envelopment analysis is a mathematical technique that assesses the relative efficiency of a group of decision making units. Now the steel and metals industry is considered as an important and strategic industry in the country and comparative advantages in the production of goods, including the rich mines scattered around the major cities, give special importance to the industry as one of the main engines of the country's industrial growth. Steel and metals industry are one of the industrial products which plays an important role in the development and prosperity of the country and allocated the world’s first industrial production among industrial productions. At present there are about 16 companies in the Stock Exchange. Although Iran is the largest steel producer and metals in the Middle East and their production in the country has increased in the past few years, the plants’ efficiency has not been grown for many reasons and using new methods of performance evaluation in this regard and calculating the efficiency of companies and comparing them together is very important. The researcher of this study is to explain the model and performance evaluation of Manufacturers Metals Exchange.
AAzar, A. (1379). "Data envelopment analysis and hierarchical analysis process: a comparative study", Journal of Management Studies, No. 28-27, p 146-129.
Agharafie, A. (2004). "Performance Evaluation of Insurance Company", Master Thesis on Business Administration, University of Mazandaran, Faculty of Social Sciences.
Asadi, B. (1999). "Sensitivity analysis of DEA models for simultaneous changes in the data," Master's Thesis in Mathematics, University for Teacher Education.
Meibodi, E. A. (2000). “"Principles of mMeasuring the efficiency and productivity", Tehran, Institute for Trade Studies and Research
Rad, P. (2003). "Benchmarking and performance management", First Conference on Performance Management, Faculty of Management, Tehran.
Tarikh, M. J. (2004). "Workshop of introducing BSC», International Conference on Industrial Engineering, University of Technology, July.
Hafeznia, M. (1998). "Introduction to Research Methods in the Human Sciences", SAMT Press.
Dadgar, Y. (2001). "General Economics", Institute of Mofid University Press.
Dashgarzadeh, K. (1993). "Improved methods and scope of their performance," State Management Training Center Press.
Razani, A. (2003). "International Patterns of performance evaluation", First Conference on Performance Management, Faculty of Management, Tehran.
Rahmani, M. (2005). "Performance evaluation from a system approach", Second National Conference on Performance Management, Faculty of Management, Tehran University.
Zali, M. (2003). "Designing performance evaluation model of industrial research organizations," Ph.D. dissertation Management, Faculty of Management, Tehran University.
Zahedi, M. (2004). "The relationship between organizational culture and organizational performance (Research in insurance companies)," Ph.D. dissertation, Management, Science and Research Branch, Islamic Azad University.
Gohar, S. P. (1996). "Introduction on organization improvement", Journal of Management Today, Volume 9, No. 3 & 4.
Sarmad, Z., and Abbas, B. (2004). "Research methods in the behavioral sciences", Tehran.
Sana, M. (2005). "Multidimensional assessment of supply chain performance: use of OLAP», Second National Conference on Performance Management, Faculty of Management, Tehran University.
Engineering Company of Design Parto Pooya. (2004). "Introductory Workshop on Performance Evaluation", International Conference on Industrial Engineering, University of Technology, July.
Sheri, S., and Ameli, J. M. (2005). "Measuring performance by rapid production request", Second National Conference on Performance Management, Faculty of Management, Tehran University.
Saber, M. (1994). "Criteria for Audit Management", Knowledge Audit, 1994, Issue 2.
Taleshi, S., Ebrahim. (1999). “Evaluation of operation performance from irrigation networks using data envelopment analysis," MS thesis of Agriculture, Tarbiat Modarres University.
Gholami, H., and Nouralizadeh, H. (2003). "Comparison of performance evaluation methods ", Conference on Performance Management, Faculty of Management, Tehran.
Fazli, S. (2002). "Model for evaluating the performance of managers in government agencies, data envelopment analysis approach", PhD thesis on Management, Tarbiat Modarres University.
Farahmand, F. N. (1992). "Duties of top managers and industrial efficiency," MS Thesis on Management, Tehran University.
Kalantari, K. (2003). "Processing and Data Analysis in the Economic and Social Research Using SPSS», Tehran, Sharif Publishing.
Mehrabian, S. (1999). "Computational concepts in data envelopment analysis", PhD thesis on Mathematics, Tarbiat Modarres University, Faculty of Science.
Motameni, A. (2002). "Dynamic efficiency model for data envelopment analysis approach", PhD thesis on Management, Tarbiat Modarres University.
Mehregan, M. (2002). “Assessment of organizations performance, quantitative approach using data envelopment analysis", Tehran University, Management Faculty.
Mehregan, M. (2004). "Quantitative Models for Evaluation of Organizations Performance (data envelopment analysis)", Tehran, Faculty of Management, Tehran University.
Mirkhani, K. (2000). "Performance evaluation of service unit after sales (authorized representative of Iran Khodro Company)", Master Thesis of Industrial Management.
Amartunga, D., & Baldry, D. (2002). “Moving from Performance Measurement to Performance Management”, Facilities, Vol. 20, No. 5, pp. 217-223.
Band, W. (1990). “Performance Metrics Keep Customer Satisfaction Programmes on Track”, Marketing News, Vol. 12.
Banker, R. D., Charnes, A., Cooper, W. W. (1984). “Models for Estimating Technical Scale Efficiencies in Data Envelopment Analysis”, Management Science, Vol. 30, pp. 1078-1092.
Berger, A. N., Cummins, J. D., Weiss, M. A. (1997). “The Coexistence of Multiple Distribution Systems for Financial Service”, Journal of Business, Vol. 70, pp. 515-546.
Bowlin, W. F. (1998). “Measuring Performance: an Introduction to Data Envelopment Analysis”, Journal of Cost Analysis.
Brockett, P., & Cooper, W. W. (2004). “Evaluating Solvency versus Efficiency Performance and Different from of Organization and Marketing in US Property-Liability Insurance Companies”, European Journal of Operational Research, Vol. 154, pp. 492-514.
Charnes, A., Cooper, W. W., Folony, B., Seiford, L. M., & Statz, J. (1984). “Foundation of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Function”, Journal of Econometrics, No. 30, pp. 91-107.
Charnes, A., & Cooper, W. W. (1985). “Preface to Topics in Data Envelopment Analysis”, Journal of Operation Research, No. 2, pp. 59-70.
Charnes, A., Cooper, W. W., & Thrall, R. M. (1981). “Classifying and Characterizing Efficiencies Inefficiencies in Data Envelopment Analysis”, Operation Research Lett, Vol. 5, pp. 105-110.
Charnes, A., Cooper, W. W., Rhodes. (1984). “Measuring the Efficiency of Decision Making Units”, Journal of Operation Research, No. 2, pp. 429-444.
Cooper, W. W., Deng, H., Huang, Z. M. (2002). “A Non-Model Approach to Congestion in Data Envelopment Analysis”, Socio-Economic Planning Sciences, No. 36, pp. 231-238.
Cummins, J., Tennyson, S., & Weiss, M. (1999). “Consolidation and Efficiency in the US Life Insurance Industry”, Journal of Banking & Finance, Vol. 23, pp. 325-357.
Cummins, J. D., Weiss, M. A. (2000). “Analyzing Firm Performance in the Insurance Industry Using Frontier Efficiency and Productivity Methods”, Boston, Dluwer Academic Publisher.
Dyson, R. G., & Boussofiane (1996). “A Comparison of Data Envelopment Analysis and Ratio Analysis as Tools for Performance Assessment” Omega, No. 3, pp. 229-244.
Dyson, R. G., Thanassoulis, E., & Bussofian, A. (1990). “A Data Envelopment Analysis Tutorial”, Journal of Operational Research.
Folan, P., & Brown, J. (2005). “A Review of Performance Measurement: Towards Performance Management” Computers in Industry, Vol. 56, pp. 663-680.
Fortuna, T. (2000). “A DEA Model for the Efficiency Evaluation of Nondominated Paths on a Road Network European”, Journal of Operation Research, pp. 549-558.
Fukuyama, H. (2000). “Theory and Methodology Returns to Scale and Scale Elasticity in Data Envelopment Analysis”, European Journal of Operational Research, Vol. 125, pp. 93-112.
Dieter, H. S. (2001). “Business Excellence”, Total Quality Management, Vol. 12, No. 7.
Ingram, H. (1997). “Performance Measurement: Process Quality and Team Working”, International Journal of Contemporary Hospitality Management, No. 9, pp. 290-300.
Kanji, G. (2002). “Performance Measurement System”, Total Quality Management, Vol. 13, No. 5, pp. 705-720.
Kueng, P. (2000). “Process Performance Measurement System”, Total Quality Management, Vol. 11, No. 1.
Latham, G., Almost, J., Mann, S., & Moore, C. (2005). “New Development in Performance Management”, Organizational Dynimcs, Vol. 34, No. 1, pp. 77-887.
Nicholson, W. (1972). “Microeconomics Theory, Basic Principles and Etension”, The Prydenpress.
Norman, M., & Stoker, B. (1991). “Data Envelopment Analysis the Assessment of Performance”, England, J. Willey and Sons.
Parker, C. (2000). “Performance Measurement”, The Journal Available, Vol. 49, No. 2, pp. 56-70.
Ray, S. (2004). “Data Envelopment Analysis Theory and Techniques for Economics and Operations Research”, USA, Cambridge University Press.
Rouse, P., Putterill, M. (1997). “Towards a General Managerial Framework for Performance Management”, No. 8.
Rouse, P., & Putterill, M. (2003). “An Integral Framework for Performance Measurement”, Management Decision, Vol. 41, No. 8, pp. 791-805.
Seifert, L. (1994). “Identifying Excesses and Deficits in Chinese Industrial Productivity (1953-1990): a Weighted Data Envelopment Analysis Approach”, Omega, Vol. 26, No. 2, pp. 229-296.
Tone, K., & Sahoo, B. K. (2005). “Evaluating Cost Efficiency and Returns to Scale in the Life Insurance corporation of India Using Data Envelopment Analysis”, Socio-Economic Planning Sciences, Vol. 39, pp. 261-285.
Wu, D., Yang, Z., Vela, S., & Liang, L. (2006). “Simulation Analysis of Production and Investment Performance of Canadian Life and Health Insurance Companies Using Data Envelopment Analysis”, Computer & Operation Research, Article in Press.
Yinsheny, K. (2000). “Efficiency-Measuring DEA Model for Production System with Independent Subsystems”, Journal of Operation Research, Vol. 43, No. 2.
Yuengert, A. M. (1993). “The Measurement of Efficiency in Life Insurance: Estimate of a Mixed Normal-Gamma Error Model”, Journal of Banking & Finance, Vol. 17, pp. 483-496.
In-Text Citation: (Hirad, 2014)
To Cite this Article: Hirad, A. (2014). Designation and Explanation of Performance Evaluation Model Metals Producers Companies in Iran Stock Exchange with an Approach to Data Envelopment Analysis. International Journal of Academic Research in Accounting Finance and Management Sciences, 4(4), 57–78.
Copyright: © 2014 The Author(s)
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