Malmquist productivity index to measure progression and regression in the network and its application to study at a university School
Subject Areas : Business ManagementMorteza Azarbad 1 , Farhad Hosin zadeh 2
1 - Department of industrial Engineering,Bandar Abbas Branch,Islamic Azad University,Bandar Abbas,Iran
2 - Department of Mathematics Science and Research, Branch,Islamic Azad University,Tehran,Iran
Keywords: calculation of progression and regression, two-step network structure, inaccurate and relative performance data,
Abstract :
Improve productivity leads to progress and development and developed and developing countries in order to promote the attitude towards the use of techniques and methods to improve the efficiency and extend the done a lot of investments. Oneofthe important parts ofthe performance evaluation, performan cemeasurement organization. Performance measureand comparethe performan ceoftheirvarious organizations, includingthe main pointsof interestarelocated.One of the fundamental issues of education and research institutions and universities in particular are faced with the lack of a coherent system of performance appraisal. Development Environment Data (DEA) mathematical technique and management to evaluate theDecision Making Units (DMUs) with the input and output of multiple and diverse that combining this technique with Multiple Criteria Decision Making (MCDM) a technical engineering and taking into account dependencies and system structure as well as measures to assess systematic feedback interactions are paid DMU performance. This approach (combining two techniques, DEA and MCDM) to eliminate restrictions on the complete ranking in the classic DEA method.In this study, measure and compare the performance of the eighteen schools of Islamic Azad University, Science and Research branch in the field of research has been done for two time periods.
Abbot, M., & Doucouliagos, C.(2003),The Efficiency of Australian University: A Data Envelopment Analysis. Economics of Education Review, 22(1), 89-97.
Aliannezhad, Z. (2014),The Performance Review to Help of DMUs Ideal and Anti-Ideal in DEA. Master's Thesis, Islamic Azad University: Science and Research Branch, (In Persian).
Antonio, A., & Santos, M. (2008), Students and Teachers: A DEA Approach to the Relative Efficiency of Portuguese Public Universities. IDEAS, 13(1), 67-87.
Chen, Y., Cook, W., & Li., D. (2009), Additive Efficiency Decomposition in Two-Dtage DEA. European Journal of Operation Research, 196, 1170-1176.
Chen, Y., & Zhu, J. (2004), Measuring Information Technology Sin Direct Impact on Firm Performance. Information Technology and Management Journal, 5(1-2), 9-22.
Cooper, W. W., Deng, H., & Huang, Zh. Li., S. X. (2004), Chance Constrained Programming Approaches to Congestion in Stochastic Data Envelopment Analysis. Journal of European Journal of Operational Research, 155, 487-501.
DaneshvarRoyendegh, B., & Frol, S. (2010), A DEA-ANP Hybrid Algorithm Approach to Evaluate a University's Performance. International Journal of Basic and Applied Sciences, 9(10), 76-86.
Ebrahimzade Edlimi, M. (2012), The Relative Efficiency Calculate and Modeling in Two-Stage Decision Making Units. Master's Thesis, Islamic Azad University: Zahedan Branch, (In Persian).
Farrell, M. J. (1957), The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120, 90-115.
Hamze, P. (2005), The Performance Evaluation of Departments in Islamic Azad University,s Science and Research Branch. Master's Thesis, Islamic Azad University: Qazvin Branch, (In Persian).
Jahanshahloo, G. R., & Afzalinejad, M. (2006), A Ranking Method Based on a Full-Inefficient Frontier. Applied Mathematical Modeling, 30, 248-260.
Jahanshahloo, GH., Alirezaei, M., Mehrabian, S. (1995), The Performance Evaluation of Efficiency in Tarbiat Moallem University of Tehran. Development Management, 4, 35-46, (In Persian).
Journady, O., & Ris, C. (2005), Performance in European Higher Education: A Non-Parametric Production Frontier Approach. Education Economics, 13(2),189-205.
Kao, C., & hung, H. T. (2008), Efficiency Decomposition in Two-Stage Data Envelopment Analysis: An Application to Non-Life Insurance Companies in Taiwan. European Journal of Operational Research, 185(1), 418-429.
Mousakhani, M., Vadoudi Mofid, B., & Hamidi, N. (2006), The Develop of Model for Assessing the Efficiency and Productivity Growth in Higher Education Institutions (Case study: Islamic Azad university). Journal of Industrial Strategic Management, 6, 34-53, (In Persian).
Parade, J. C., Asmild, M., & Simak, P. C. (2004), Using DEA and Worst Practice Dea in Credit Risk Evaluation. Journal of Productivity Analysis, 21, 153-165.4.
Seiford, L., & Zhu, J. (1999), Profit Ability and Market Ability of the Top 55US Commercial Banks. Management Science, 45(9), 1270-1288.
Wang, Y. M., Liu, J., & Elhag, T. M. S. (2007),An Integrated AHP-DEA Methodology for Bridge Risk Assessment. Journal of Computer and Industrial Engineering, 54(3), 513-525.
Yousefpour, M. (2013), The Presentation VC-DEA Model Developed for Multistage. Master's Thesis, Islamic Azad University: Qazvin Branch, (In Persian).
_||_Abbot, M., & Doucouliagos, C.(2003),The Efficiency of Australian University: A Data Envelopment Analysis. Economics of Education Review, 22(1), 89-97.
Aliannezhad, Z. (2014),The Performance Review to Help of DMUs Ideal and Anti-Ideal in DEA. Master's Thesis, Islamic Azad University: Science and Research Branch, (In Persian).
Antonio, A., & Santos, M. (2008), Students and Teachers: A DEA Approach to the Relative Efficiency of Portuguese Public Universities. IDEAS, 13(1), 67-87.
Chen, Y., Cook, W., & Li., D. (2009), Additive Efficiency Decomposition in Two-Dtage DEA. European Journal of Operation Research, 196, 1170-1176.
Chen, Y., & Zhu, J. (2004), Measuring Information Technology Sin Direct Impact on Firm Performance. Information Technology and Management Journal, 5(1-2), 9-22.
Cooper, W. W., Deng, H., & Huang, Zh. Li., S. X. (2004), Chance Constrained Programming Approaches to Congestion in Stochastic Data Envelopment Analysis. Journal of European Journal of Operational Research, 155, 487-501.
DaneshvarRoyendegh, B., & Frol, S. (2010), A DEA-ANP Hybrid Algorithm Approach to Evaluate a University's Performance. International Journal of Basic and Applied Sciences, 9(10), 76-86.
Ebrahimzade Edlimi, M. (2012), The Relative Efficiency Calculate and Modeling in Two-Stage Decision Making Units. Master's Thesis, Islamic Azad University: Zahedan Branch, (In Persian).
Farrell, M. J. (1957), The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120, 90-115.
Hamze, P. (2005), The Performance Evaluation of Departments in Islamic Azad University,s Science and Research Branch. Master's Thesis, Islamic Azad University: Qazvin Branch, (In Persian).
Jahanshahloo, G. R., & Afzalinejad, M. (2006), A Ranking Method Based on a Full-Inefficient Frontier. Applied Mathematical Modeling, 30, 248-260.
Jahanshahloo, GH., Alirezaei, M., Mehrabian, S. (1995), The Performance Evaluation of Efficiency in Tarbiat Moallem University of Tehran. Development Management, 4, 35-46, (In Persian).
Journady, O., & Ris, C. (2005), Performance in European Higher Education: A Non-Parametric Production Frontier Approach. Education Economics, 13(2),189-205.
Kao, C., & hung, H. T. (2008), Efficiency Decomposition in Two-Stage Data Envelopment Analysis: An Application to Non-Life Insurance Companies in Taiwan. European Journal of Operational Research, 185(1), 418-429.
Mousakhani, M., Vadoudi Mofid, B., & Hamidi, N. (2006), The Develop of Model for Assessing the Efficiency and Productivity Growth in Higher Education Institutions (Case study: Islamic Azad university). Journal of Industrial Strategic Management, 6, 34-53, (In Persian).
Parade, J. C., Asmild, M., & Simak, P. C. (2004), Using DEA and Worst Practice Dea in Credit Risk Evaluation. Journal of Productivity Analysis, 21, 153-165.4.
Seiford, L., & Zhu, J. (1999), Profit Ability and Market Ability of the Top 55US Commercial Banks. Management Science, 45(9), 1270-1288.
Wang, Y. M., Liu, J., & Elhag, T. M. S. (2007),An Integrated AHP-DEA Methodology for Bridge Risk Assessment. Journal of Computer and Industrial Engineering, 54(3), 513-525.
Yousefpour, M. (2013), The Presentation VC-DEA Model Developed for Multistage. Master's Thesis, Islamic Azad University: Qazvin Branch, (In Persian).