AGILITY EVALUATION IN PUBLIC SECTOR USING FUZZY LOGIC

Document Type : Research Paper

Authors

1 Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran

2 Member of Young Researchers Club, Islamic Azad University, Zahedan, Iran

Abstract

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.

Keywords


[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.