Evaluation of Knowledge Management Tools by Using An Interval Type-2 Fuzzy TOPSIS Method

Autor: Gülçin Büyüközkan, Ismail Burak Parlak, A. Cagri Tolga
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Computational Intelligence Systems, Vol 9, Iss 5 (2016)
Druh dokumentu: article
ISSN: 18756891
1875-6883
DOI: 10.1080/18756891.2016.1237182
Popis: Knowledge management (KM) systems can provide businesses a wide range of advantages and efficiency improvements. Increasing competition forces companies to seek new ways to streamline their processes and manage their information and knowledge better, leading to increased demand for KM solutions. Considering various needs of organizations and diverse features of available KM alternatives, choosing the most suitable KM tool is an important decision for businesses. The contribution of this paper to the KM literature is a KM evaluation framework for decision makers to compare available KM products of different vendors by first identifying relevant evaluation criteria and then proposing a group decision making framework using the Interval Type-2 TOPSIS technique. This method has more flexibility in handling uncertainties compared to the Type-1 fuzzy sets and enables decision makers to effectively analyze, compare and select the most appropriate KM tools. The framework is also used in a case study for the sake of demonstrating its potential in businesses.
Databáze: Directory of Open Access Journals
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