Integration of Fuzzy Analytic Hierarchy Process (FAHP) with Balance Score Card (BSC) in Order to Evaluate the Performance of Information Technology in Industry

Volume 2, Issue 2, pp 271--283 http://dx.doi.org/10.22436/jmcs.002.02.07

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Authors

Hamid Reza Feili - Assistant Professor, Industrial Engineering, Alzahra University Nazanin Vasheghani Farahani - B.S., Industrial Engineering, K.N.T. University Naghme Vesaghi - B.S., Industrial Engineering, K.N.T. University

Abstract

The degree of effectiveness of information technology (IT) in industry and the way it aids organizational goals are considered as very key sensitive points in industry's communications and interactions in the worldwide scale. In fact information technology has got various functions in different sectors of industry most of which are not simply quantifiable. Usually a large quantity of the information we deal with in industrial atmospheres are ambiguous and in a way fuzzy. That's why it makes it almost impossible to utilize common ways of decision-making in this area. In this research due to integrity of decision-making approach, evaluation of information technology will be based on FAHP and BSC approaches. Ways forward for BSC to express organizational hierarchy are divided into four main sections (financial, buyer, the function's internal process, and training and rate of progress). These factors are considered as functional indicators for each section to be evaluated. The FAHP approach here is mainly advised to be used to clarify the ambiguity of the information. In conclusion this integrated methodology facilitates planning in information systems and gives some clues to create a viable system of information technology in industry. That means provision of ways forward for improvements in performance of information technology in Industries.

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Keywords

• Fuzzy Analytic Hierarchy Process (FAHP)
• Balance Score Card (BSC)
• Information Technology
• Industry.

MSC

•  03B52
•  26E50
•  60K99

References

• [1] A. Abran, L. Buglione, A multidimensional performance model for consolidating balanced scorecards, Advance in Engreening software, 34 (2003), 339--349
  • View Article
  • Google Scholar


• [2] R. S. Kaplan, D. P. Norton, The balanced scorcard: measures that drive performance, Harvard Business Review, 70 (1992), 71--79
  • Google Scholar


• [3] R. S. Kaplan, D. P. Norton, The balanced scorecard to work, Harvard Business Review, 71 (1992), 134--142
  • Google Scholar


• [4] T. L. Saaty, How to make a decision: the analytic hierarchy process, Interfaces, 24 (1994), 19--43
  • View Article
  • Google Scholar


• [5] , , http://gis4.blogfa.com/post-24.aspx, (),
  • Google Scholar


• [6] G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic theory and applications, Prentice-Hall, London (1995)
  • Google Scholar


• [7] C. H. Cheng, Evaluating weapon systems using ranking fuzzy numbers, Fuzzy Sets and Systems, 107 (1999), 25--35
  • View Article
  • Google Scholar


• [8] R. D. Banker, H. Chang, S. N. Janakiraman, C. Konstans, A balanced scor card analysis of performance metrics, Eur. Oper. Res., 154 (2004), 423--436
  • View Article
  • Google Scholar


• [9] K. Milis, R. Mercken, The use of the balanced scorecard for the evaluation of information and communication technology projects, International Journal of Project Management, 22 (2004), 87--97
  • View Article
  • Google Scholar


• [10] R. A. Stewart, S. Mohamed, Utilizing the balanced scorecard for IT/IS performance evaluation in construction, Construction Innovation, 1 (2001), 147--163
  • View Article
  • Google Scholar


• [11] L. C. Leung, K. C. Lam, D. Cao, Implementing the balanced scorecard using the analytic hierarchy process, Management Accounting Quarterly, 3 (2002), 1--11
  • View Article
  • Google Scholar


• [12] M. H. Sohn, T. You, S. L. Lee, H. Lee, Corporate strategies, environmental forces, and performance measures: a weighting decisionsupport system using the k-nearest neighbor technique, Expert Syst. Appl., 25 (2003), 279--292
  • View Article
  • Google Scholar


• [13] Z. Chiang, A dynamic decision approach for long-term vendor selection based on AHP and BSC, In: International Conference on Intelligent Computing, 2005 (2005), 257--265
  • View Article
  • Google Scholar


• [14] T. L. Saaty, The analytic hierarchy process, McGraw-Hill, New York (1980)
  • Google Scholar


• [15] C. T. Chen, Extensions of TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets and Systems, 114 (2000), 1--9
  • View Article
  • Google Scholar


• [16] Expert Choice, Expert Choice, http://www.expertchoice.com/, 2006 (2006),
  • View Article


• [17] Sybase, PowerBuilder 10, http://www.sybase.com/products/developmentintegration/powerbuilder/, 2006 (2006),
  • View Article


• [18] MySQL, MySQL 5.0, http://www.mysql.com/products/database/mysql/, 2006 (2006),
  • View Article