Using the fuzzy best worst method for evaluating strategic planning models
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Publication date
2023
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01A - Journal article
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Processes
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Volume
11
Issue / Number
4
Pages / Duration
1284
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MDPI
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Abstract
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.
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2227-9717
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Gold
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Citation
Ajripour, I., & Hanne, T. (2023). Using the fuzzy best worst method for evaluating strategic planning models. Processes, 11(4), 1284. https://doi.org/10.3390/pr11041284