1 Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

2 Industrial Engineering Department, Malek-Ashtar University of Technology, Iran


Due to the progress of organizations and the increased competition among them, they are paying more attention to supporting factors of their operations. One of the factors that has highly been considered by organizations is enhancement of knowledge level of the organization. In recent years, organizations have found out that they can achieve competitive advantage through enhancement of their knowledge level and thus use its advantages and realize their agility at all dimensions of the organization, because increased level of knowledge management increases agility of employees and clients besides making the organization agile. Given the importance of knowledge management and organizational agility, performance of the Municipality in Isfahan province is evaluated using the above two approaches. To this end, data envelopment analysis is employed. Then, the most important dimensions of organizational agility are determined by means of sensitivity analysis.


Banker, R.D., Charnes, A. and Cooper, W.W. (1984). “Some models for estimating technical and scale inefficiencies in data envelopment analysis”. Management Science. Vol. 30, No. 9, pp. 1078–1092.
Bose. R, (2004), “Kowledge Management Metrics”, Knowledge management And data Sayatems, Vol.104, No.6, PP 457-468 Bruno. A, Liedecker. J, (1984), “ Identifying And Using Critical Success Factors”, Long Range Planning, Vol.17, No.1, PP 23-32
Charnes, A., Cooper, W.W., Rhodes, E. (1978). “Measuring the efficiency of decision making units”. European Journal of Operational Research. Vol. 2, No. 6, pp. 429–444.
Charnes, A., Cooper, W.W., Lewin, A.Y. and Seiford, L.M., )1995(. Data Envelopment Analysis: Theory, Methodology and Applications. Kluwer Academic Publishers., Boston.
Kabnurkar, A.(2001). “Mathematical Modeling for Data Envelopment Analysis with Fuzzy Restrictions on Weights”. Masters Thesis, Virginia Polytechnic Institute: Faculty of Science in Industrial and Systems Engineering.
Kuah, C.T., Wong, K.Y. and Wong, W.P. (2012). “Monte Carlo Data Envelopment Analysis Knowledge Management Performance Measurement”, Expert Systems With applications, Vol. 39, No. 10, pp. 9648-9358.
Lee, K.C., Lee, S. and Kang, I.W. (2005). “KMPI: Measuring Knowledge Management Performance”, Information and Management, Vol. 42, No. 3, pp. 469-482.
Lin, C., Chiu, H. and Tseng, Y. (2006). “Agility evaluation using fuzzy logic”. International Journal of Production Economics. Vol. 101, No. 2, pp. 353-368.
Mun J., Shin M., Lee K., Jung M.; (2009), “Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise”, Computers & Industrial Engineering, Vol. 56, No. 3, pp. 888-901.
Othman, A., Yao, L., Mahdi, O.R. and Jing, W. (2011). “A Novel Statistical Model Assessing The Self Performance Of Knowledge Management Within Smes In China”, Procedia Engineering, Vol. 15, No. 1, pp 1758-1763.
Sharifi, H. and Zhang, Z. (1999), “A methodology for achieving agility in manufacturing organizations, an introduction” , International Journal of Production Economics, Vol. 62, No. 1–2, pp. 7–22.
Tavakoli, M.M., Shirouyehzad, H. and Dabestani, R. (2013). “Efficiency evaluation of a private bank’s branches with service quality approach by data envelopment analysis”, Int. J. Services and Operations Management, Vol. 16, No. 4, pp.427–442.
Tseng, Y. and Lin, C.T. (2011). “Enhancing enterprise agility by deploying agile drivers, capabilities and providers”, Information Sciences, Vol. 181, No. 17, pp. 3693–3708.
Wang, T. and Lee, H. (2009). “Developing a fuzzy TOPSIS approach based on subjective weights and objective weights”. Expert Systems with Applications, Vol. 36, No. 5, pp. 8980–8985.
Wu, W.W. and Lee. Y, (2007). “Seelection Knowledge Management Strategies By Suing Analytic Network Proccess”, Expert Systems With Applications, Vol. 32, No. 2, pp. 841- 847.
Zeleny,M. (1996(. Multiple criteria decision making, New York: Springer. Zhang, D.Z. and Sharifi, H. (2007), “Towards Theory Building in Agile Manufacturing Strategy -A Taxonomical Approach”, IEEE Transactions on Engineering Management, Vol. 54, No. 2, pp. 351-370.
Zhoe, H. (2011). “The Study on Knowledge Management Performance Evaluation using Neural Network”, Procedia Engineering, Vol. 23, No. 1, pp. 144-149.