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Jiří Franek and Aleš Kresta VŠB-Technical University of Ostrava
COMPETITIVE STRATEGY DECISION MAKING BASED ON THE FIVE FORCES ANALYSIS WITH AHP/ANP APPROACH Jiří Franek and Aleš Kresta VŠB-Technical University of Ostrava Liberec Economic Forum 2013, Sychrov September 2013
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Decision making processes in firms
Goal and Motivation Goal and Motivation Goal: Implementation of multiple attribute decision making method to strategic decision making with example of Porter‘s Five Forces Analysis Motivation Decision making processes in firms Structure and hierarchy of decision making Application of decision making support using simple tools
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The problem of strategic decision making
Presentation outline Presentation outline Introduction The problem of strategic decision making Multiple attribute decision making methods Analytic hierarchy process Analytic network process Application of AHP/ANP on Five Forces Analysis Results and discussion Introduction The problem of strategic decision making Multiple attribute decision making methods Analytic hierarchy process Analytic network process Application of AHP/ANP on Five Forces Analysis
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Strategic decision making has to adapt to multiple attribute problems
Introduction Introduction Levels of uncertainty are changing but they still seem to have and upward trend Strategic decision making has to adapt to multiple attribute problems Use of decision support tools Application and implementation of multiple attribute decision making methods
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The problem of strategic DM
The problem of strategic decision making Company vision and long-term goals Flexibility and effectiveness Competitive edge
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Original five forces model:
Five Forces ANalysis Five forces analysis The five forces are competitive factors which determine industry competition and include: suppliers, rivalry within an industry, substitute products, customers or buyers, and new entrants (Porter, 1980). Original five forces model:
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Multiple attribute decision making mathods
Multiple attribute decision making methods ❶❷ Ability to evaluate each alternative using a large number of criteria Estimate weights or Finding optimal (best) alternative using: Multi-level decomposition methods (AHP, ANP and Fuzzy AHP an fuzzy ANP) Compromised criteria (TOPSIS, VIKOR) Outranking (ELECTRE, PROMETHEE)
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Multiple attribute decision making methods
Goal: is a specific (or desired) status of attributes or objectives Attributes (Criteria): are the traits, characteristics, qualities, or performance parameters of the alternatives Alternatives: are the possible courses of action in a decision problem
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Analytic hierarchy process
Analytic hierarchy process (AHP) Consists of four steps: hierarchy design (goal definition, identification of alternatives, identification of evaluation factors, assignment of criteria and factor relationships and finishing of the hierarchy), identification of priorities (application of pair-wise comparison, point evaluation of significance, repeating of the procedure for all hierarchy levels), combination and, evaluation (weighted values of alternative solutions).
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Analytic network process
Analytic network process (ANP) The ANP feedback approach replaces hierarchies with networks, and emphasizes interdependent relationships among the decision criteria and permit more systematic analysis. Open structure with networks, loops and clusters of criteria More demanding on time and logic of pairwise comparisons
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General Application of AHP/ANP
AHP (a) ANP(b) b) a) Goal Criteria Alternatives Wij wij Degree Descriptor 1 Criteria i and j are equal 3 Low preference of criteria i before j 5 Strong preference of criteria i before j 7 Very strong preference of criteria i before j 9 Absolute preference of criteria i before j 2, 4, 6, 8 Medium values for more precise preference determination.
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Application of AHP/ANP on Five Forces Analysis
Competitors: market share (c1), product range(c2), distribution channels (c3); Customers: relationship with current customers (c4), customer sensitivity on changes and quality of products and services (c5), potential of new customers (c6); Substitutes: quality of substitutes (c7), availability of substitutes (c8), upcoming substitutes (c9); Threat of new entrants: estimated costs of entrance to the market (c9), other barriers to the entrance (c10); Suppliers: costs of raw materials (c11), currency risk (c12), reliability of suppliers (c13). ST1 Low-cost strategy with sustainable quality C1 C2 C3 GEOMEAN Weight S*w S*w/w Eigenvector 1 2 1,587 0,479 1,521 3,172 3,176 1/2 4 1,260 0,380 1,181 3,104 0,088 1/5 0,464 0,140 0,456 3,253 3,311 3,157 9,529
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Application of AHP/ANP on Five Forces Analysis
Supermatrix of ANP Utility function of AHP
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Results and Discussion
Comparison of results of AHP/ANP
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Results and discussion
Proposed model of Porter’s five forces analysis combined with AHP and ANP enhances the original model with structured decision making hierarchy and process The application can be developed further and could include more variables, levels (internal and external, industry and firm) and quantitative data Another advantage of the ANP is also the supermatrix approach that describes relations among criteria and alternatives (strategies) better than sole AHP tables. After short tutorial managers should be able to use this model tool and apply it on ordinary decision-making tasks.
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References References
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Thank you for your attention!
Jiří Franek Aleš Kresta
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