Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Daniel, J; Talaei-Khoei, A

Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Daniel, J

Talaei-Khoei, A

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Publication Type:: Conference Proceeding
Citation:: Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, 2016
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Daniel, J https://orcid.org/0000-0002-8668-2502	en_US
dc.contributor.author	Talaei-Khoei, A	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, 2016	en_US
dc.identifier.isbn	9789860491029	en_US
dc.identifier.uri	http://hdl.handle.net/10453/52051
dc.description.abstract	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.	en_US
dc.relation.ispartof	Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings	en_US
dc.title	Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

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.

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http://hdl.handle.net/10453/52051