Abstract
Product portfolio analysis is used for analyzing company products’ strategic market position, in order to decide which products should receive more or less investment. The Boston Consulting Group (BCG) growth-share matrix is the best known approach for product portfolio analysis. It is a strategic tool for identifying products’ strategic market positions and formulating resources allocation strategies. However, traditional BCG matrix is a static historic analysis, which different time frames are not considered. Thus, the main purpose of this study was to propose a new BCG method, which is a dynamic trend analysis method and different time frames are considered for product portfolio analysis. A numerical case study was conducted to demonstrate that the proposed BCG method has achieved the objectives of the study for company products’ portfolio analysis. First, the rule-based BCG method has contributed a new vague set based data collection method. Second, the rule-based BCG method has contributed a new application for identifying company products’ strategic market positions and resources allocation strategy formulation.
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References
Wilson, R.M.S., Gilligan, C.: Strategic MARKETING MANAGEMENT: PLANNING, IMPLEMENTATION AND CONTROL, 3rd edn. Elsevier, Butterworth Heinemann, Oxford, England (2008)
Henderson, B.: Corporate Strategy. Abt Books Publisher, Cambridge (1979)
Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)
Atanassov, K.T.: On Intuitionistic Fuzzy Sets Theory. Springer, Berlin, Heidelberg (2012)
Zadeh, L.A.: Fuzzy sets. Inf. Control. 8, 338–356 (1965)
Gau, W.L., Buehrer, D.J.: Vague sets. IEEE Trans. Syst. Man, Cybernetics. 23, 610–614 (1993)
Bustince, H., Burillo, P.: Vague sets are intuitionistic fuzzy sets. Fuzzy Sets Syst. 79, 403–405 (1996)
Chen, S.M., Tan, J.M.: Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets Syst. 67, 163–172 (1994)
Lin, K.S., Chiu, C.C.: Multi-criteria group decision-making method using new score function based on vague set theory. In: Proceedings of International Conference on Fuzzy Theory and Its Applications (iFUZZY 2017, Pingtung, Taiwan), IEEE Xplore Digital Library. https://doi.org/10.1109/ifuzzy.2017.8311795
Boston Consulting Group: Perspectives on Experience, Boston. The Boston Consulting Group, MA (1974)
Chen, S.M.: Measures of similarity between vague sets. Fuzzy Sets Syst. 74(2), 217–223 (1995)
Chen, S.M.: Similarity measures between vague sets and between elements. IEEE Trans. Syst., Man, Cybern.-Part B: Cybernetics. 27(1), 153–158 (1997)
Henderson, B.: The Product Portfolio. https://www.bcg.com. Retrieved 8 Sept 2018
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Chiu, CC., Lin, KS. (2020). Rule-Based BCG Matrix for Product Portfolio Analysis. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2019. Studies in Computational Intelligence, vol 850. Springer, Cham. https://doi.org/10.1007/978-3-030-26428-4_2
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DOI: https://doi.org/10.1007/978-3-030-26428-4_2
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