A fuzzy clustering-based method for scenario analysis in strategic planning: The case of an Asian pharmaceutical company

South African Journal of Business Management

 
 
Field Value
 
Title A fuzzy clustering-based method for scenario analysis in strategic planning: The case of an Asian pharmaceutical company
 
Creator Pishvaee, M. S. Fathi, M. Jolai, F.
 
Subject — —
Description In today’s rapid changing market situations, many nations and companies try to keep or make better their situation and gain more market share by creating competitive advantages. Because of growing number of uncertain parameters in the environment and lack of information about the future, the strategic choice has become very complex and critical. One of the popular tools for solving the problem is scenario analysis. In this paper based on fuzzy clustering we propose a method for building, analyzing and ranking the possible scenarios. To cope with the issue of uncertain parameters of the environment in strategic planning, we use the concept of fuzzy set theory to enhance the proposed method. Finally the performance of the proposed method is illustrated in a strategic planning case in a pharmaceutical company.
 
Publisher AOSIS
 
Contributor
Date 2008-09-30
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion —
Format application/pdf
Identifier 10.4102/sajbm.v39i3.564
 
Source South African Journal of Business Management; Vol 39, No 3 (2008); 21-31 2078-5976 2078-5585
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajbm.org/index.php/sajbm/article/view/564/493
 
Coverage — — —
Rights Copyright (c) 2018 M. S. Pishvaee, M. Fathi, F. Jolai https://creativecommons.org/licenses/by/4.0
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