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AGILITY EVALUATION IN PUBLIC SECTOR USING FUZZY LOGIC | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 8، دوره 8، شماره 3، دی 2011، صفحه 95-111 اصل مقاله (237.47 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2011.289 | ||
| نویسندگان | ||
| Nazar Dahmardeh1؛ vahid Pourshahabi* 2 | ||
| 1Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran | ||
| 2Member of Young Researchers Club, Islamic Azad University, Zahedan, Iran | ||
| چکیده | ||
| Agility metrics are difficult to define in general, mainly due to the multidimensionality and vagueness of the concept of agility itself. In this paper, a knowledge-based framework is proposed for the measurement and assessment of public sector agility using the A.T.Kearney model. Fuzzy logic provides a useful tool for dealing with decisions in which the phenomena are imprecise and vague. In the paper, we use the absolute agility index together with fuzzy logic to address the ambiguity in agility evaluation in public sector in a case study. | ||
| کلیدواژه‌ها | ||
| Agility index؛ Agility measuring؛ Fuzzy logic؛ Agile government؛ Public sector | ||
| مراجع | ||
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[1] B. M. Arteta and R. E. Giachetti, A measure of agility as the complexity of the enterprise system, Robotics and Computer-integrated Manufacturing, 20 (2004), 495-503. [2] A. T. Kearney, Improving Performance in the Public Sector, 2003. [3] E. Bottani, A fuzzy QFD approach to achieve agility, International Journal of Production Economics, 2009. [4] S. J. Chen and C. L. Hwang, Fuzzy multiple attribute decision making methods and application, Springer, Berlin, Heidelberg, 1992. [5] H. Hassanpour, H. R. Maleki and M. A. Yaghooni, A note on evaluation of fuzzy linear regression models by comparing membership functions, Iranian Journal of Fuzzy Systems, 6 (2) (2009), 1-6. [6] R. Hefner and N. Grumman, Six sigma applied throughout the lifecycle of an automated decision system, (2006), 5-88. [7] M. Jackson and C. Johansson, An agility analysis from a production system perspective, Integrated Manufacturing Systems, 14(6) (2002), 482-488. [8] C. T. Lin, H. Chiu and P. Y. Chu, Agility index in the supply chain, Int. J. Production Economics, 100 (2006), 285-299. [9] A. Maturo, On some structures of fuzzy numbers, Iranian Journal of Fuzzy Systems, 6(4) (2009), 49-59. [10] S. Parker and J. Barlett, Toward agile government, State service authority, 2008. [11] A. W. Scheer, H. Kruppke, W. Jost and H. Kinderman, AGILITY, Aris Business process management, 2007. [12] B. Sherehiy, W. Karwowski and J. K. Layer, A review of enterprise agility: concepts, frameworks, and attributes, International Journal of Industrial Ergonomics, 37 (2007), 445-460. [13] P. M. Swafford, S. Ghosh and N. Murthy, The antecedents of supply chain agility of a firm: scale development and model testing, Journal of Operations Management, 24 (2006), 170- 188. [14] N. C. Tsourveloudis and K. P. Valavanis, On the measurement of enterprise agility, Journal of Intelligent and Robotics Systems, 33 (2002), 329-342. [15] M. Zain, R. C. Rose, I. Abdollah and M. Masrom, The relationship between information technology acceptance and organizational agility in Malaysia, Information and Management, 42 (2005), 829-839. | ||
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