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FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company

FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company
FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company
In today’s competitive environment, holding companies are usually unable to successfully compete in production of goods and services due to technological sophistication. Therefore, for success of holding companies, selecting appropriate strategic alliance partner is a critical factor. Accordingly, the aim of the paper is to propose a systematic approach for an effective partner selection. Firstly, the underlying motivation and reasons for a strategic alliance building are presented using a SWOT analysis. Criteria of partners’ evaluation are attained on the basis of combining strengths, weaknesses, opportunities and threats. Due to uncertainty of criteria, they are weighted using fuzzy quantitative strategic planning matrix (FQSPM). Because of a large number of criteria obtained from the SWOT-FQSPM analysis, criteria are diminished based on their weights using the Gap analysis with fuzzy data ranking. In the next step, it is proposed to apply four ranking algorithms including the Fuzzy Additive Ratio Assessment (ARAS-F), the Fuzzy Complex Proportional Assessment (COPRAS-F), the Fuzzy Multi-Objective Optimization by Ratio Analysis (Fuzzy MOORA), and the Fuzzy Technique for Order Preference by Similarity to Ideal solution (Fuzzy TOPSIS) to evaluate strategic partners. Finally, the results are combined with the help of the Borda method to choose the best alternative. To illustrate the efficiency of the proposed approach, a real partner selection problem at a holding industries factory in Iran is presented.
ARAS-F, COPRAS-F, FQSPM, Fuzzy MOORA, Fuzzy TOPSIS, MCDM, Partner selection, SWOT, Strategic alliance
2029-4921
165-185
Akhavan, Peyman
eca0b0d7-b286-4a71-851a-6e72f441a029
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3
Maghsoudlou, Hamidreza
31029a70-7ce3-45c8-8db1-8218d39345e0
Antuchevičienė, Jurgita
56b85075-da8a-4ea6-9a65-38aad7eeede0
Akhavan, Peyman
eca0b0d7-b286-4a71-851a-6e72f441a029
Barak, Sasan
f82186de-f5b7-4224-9621-a00e7501f2c3
Maghsoudlou, Hamidreza
31029a70-7ce3-45c8-8db1-8218d39345e0
Antuchevičienė, Jurgita
56b85075-da8a-4ea6-9a65-38aad7eeede0

Akhavan, Peyman, Barak, Sasan, Maghsoudlou, Hamidreza and Antuchevičienė, Jurgita (2015) FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company. Technological and Economic Development of Economy, 21 (2), 165-185. (doi:10.3846/20294913.2014.965240).

Record type: Article

Abstract

In today’s competitive environment, holding companies are usually unable to successfully compete in production of goods and services due to technological sophistication. Therefore, for success of holding companies, selecting appropriate strategic alliance partner is a critical factor. Accordingly, the aim of the paper is to propose a systematic approach for an effective partner selection. Firstly, the underlying motivation and reasons for a strategic alliance building are presented using a SWOT analysis. Criteria of partners’ evaluation are attained on the basis of combining strengths, weaknesses, opportunities and threats. Due to uncertainty of criteria, they are weighted using fuzzy quantitative strategic planning matrix (FQSPM). Because of a large number of criteria obtained from the SWOT-FQSPM analysis, criteria are diminished based on their weights using the Gap analysis with fuzzy data ranking. In the next step, it is proposed to apply four ranking algorithms including the Fuzzy Additive Ratio Assessment (ARAS-F), the Fuzzy Complex Proportional Assessment (COPRAS-F), the Fuzzy Multi-Objective Optimization by Ratio Analysis (Fuzzy MOORA), and the Fuzzy Technique for Order Preference by Similarity to Ideal solution (Fuzzy TOPSIS) to evaluate strategic partners. Finally, the results are combined with the help of the Borda method to choose the best alternative. To illustrate the efficiency of the proposed approach, a real partner selection problem at a holding industries factory in Iran is presented.

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Accepted/In Press date: 22 June 2014
e-pub ahead of print date: 4 March 2015
Published date: 2015
Keywords: ARAS-F, COPRAS-F, FQSPM, Fuzzy MOORA, Fuzzy TOPSIS, MCDM, Partner selection, SWOT, Strategic alliance

Identifiers

Local EPrints ID: 434854
URI: http://eprints.soton.ac.uk/id/eprint/434854
ISSN: 2029-4921
PURE UUID: d794120a-4679-46c6-9702-7c4d474a166b
ORCID for Sasan Barak: ORCID iD orcid.org/0000-0001-7715-9958

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Date deposited: 11 Oct 2019 16:30
Last modified: 19 Nov 2019 01:20

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Contributors

Author: Peyman Akhavan
Author: Sasan Barak ORCID iD
Author: Hamidreza Maghsoudlou
Author: Jurgita Antuchevičienė

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