LAPSE:2023.35357
Published Article
LAPSE:2023.35357
Using the Fuzzy Best Worst Method for Evaluating Strategic Planning Models
Iman Ajripour, Thomas Hanne
April 28, 2023
During the last few decades, various strategic planning models have been suggested in the literature. It is difficult for a company to decide which of these models is most useful to adopt, as each of them shows different strengths and weaknesses. We consider this problem a multicriteria decision problem and investigate the evaluation of six strategic planning models in the context of smaller and medium-sized manufacturing companies in Iran. We consider a methodology that supports the analysis of the input from several decision-makers based on multiple criteria and assume vagueness in the input data elicited from them. For the purpose considered, the fuzzy best worst method (FBWM) appears appropriate. Based on a literature review, six evaluation criteria for strategic management models are considered: formality, clarity, measurability, objectivity, coverage, and consistency. These criteria are evaluated based on the input provided by thirteen managers using linguistic variables. FBWM is used to provide criteria weights that are used to determine fuzzy scores for the six considered strategic planning models. Finally, a defuzzification of the scores indicates the model by Wright is best suited for the application purpose. A consistency analysis included in FBWM shows that the input provided by the managers is sufficiently consistent.
Keywords
fuzzy best worst method, fuzzy sets, multicriteria decision making, small and medium-sized manufacturing companies, strategic planning models
Suggested Citation
Ajripour I, Hanne T. Using the Fuzzy Best Worst Method for Evaluating Strategic Planning Models. (2023). LAPSE:2023.35357
Author Affiliations
Ajripour I: Institute of Management Science, University of Miskolc, Egyetemvaros, H-3515 Miskolc, Hungary
Hanne T: Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Riggenbachstrasse 16, 4600 Olten, Switzerland [ORCID]
Journal Name
Processes
Volume
11
Issue
4
First Page
1284
Year
2023
Publication Date
2023-04-20
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11041284, Publication Type: Journal Article
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LAPSE:2023.35357
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doi:10.3390/pr11041284
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Apr 28, 2023
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CC BY 4.0
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Apr 28, 2023
 
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