Can Fuzzy Multi-Criteria Decision Making Improve Strategic Planning by Balanced Scorecard?
|Authors||Daniel, J. and Talaei-Khoei, A.|
Strategic management is momentous for organizational success and competitive advantage in an increasingly turbulent business environment. Balanced scorecard (BSC) is a framework for evaluating strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model.
|Keywords||balanced scorecard; fuzzy logic; performance management; strategic management|
|Conference||20th Pacific Asia Conference on Information Systems, PACIS 2016; Chiayi; Taiwan|
|Publisher||Pacific Asia Conference on Information Systems|
|Web address (URL)||http://www.scopus.com/inward/record.url?eid=2-s2.0-85011051610&partnerID=MN8TOARS|
|Publication process dates|
|Deposited||17 Jun 2022|
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