IJIET 2011 Vol.1(2): 107-113 ISSN: 2010-3689
DOI: 10.7763/IJIET.2011.V1.18

ANP-FIS Method for Determining the Knowledge Management Strategy

Ahmad Nadali, Hamid Eslami Nosratabadi, and Sanaz Pourdarab

Abstract—The suitable strategy is the critical influential factor on the success of knowledge management (KM) implementation in an organization. The purpose of this research is presenting a hybrid method to determine the knowledge management strategy. Here, a model has been proposed with the use of ANP as one of the MCDM techniques to identify the most suitable knowledge management strategy and a Fuzzy Expert System has been designed to specify the best hybrid dynamic strategy. The presented steps have been run in an Iranian Bank as the empirical study.

Index Terms—Knowledge Management Strategy, Dynamic Strategy, Human Oriented Strategy, System Oriented Strategy, Analytic Network Process (ANP), Fuzzy Expert System

First Author, Ahmad Nadali is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran (Email:Nadali.ahmad@gmail.com).
Second Author, Hamid Eslami Nosratabadi is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran (Corresponding author’s email is Hamideslami.na@gmail.com).
Third Author, Sanaz Pourdarab is with the Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran (Email:Pourdarab.sanaz@yahoo.com).

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Cite: Ahmad Nadali, Hamid Eslami Nosratabadi, and Sanaz Pourdarab, "ANP-FIS Method for Determining the Knowledge Management Strategy," International Journal of Information and Education Technology vol. 1, no. 2, pp. 107-113, 2011.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net