A strategic cooperative game-theoretic model for market segmentation with application to banking in emerging economies Cover Image

A strategic cooperative game-theoretic model for market segmentation with application to banking in emerging economies
A strategic cooperative game-theoretic model for market segmentation with application to banking in emerging economies

Author(s): Faramak Zandi, Madjid Tavana, Aidan O'Connor
Subject(s): Economy
Published by: Vilnius Gediminas Technical University
Keywords: bi-level multi-objective optimization; real option analysis; cooperative n-person game; services and product segmentation; emerging market economies; bank market entry; C71; D70; F23;

Summary/Abstract: Market segmentation is essential to target efficaciously core-segment customers and to obtain a competitive advantage. Firms when confronted by the range of market segments, have difficulty in deciding the core-segment customers who are the most probable purchasers of their product and services. We propose a novel fuzzy group multi-criteria method for market entry and segment evaluation and selection. This proposed method provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with real option analysis (ROA) and fuzzy cooperative n-person game theory. The contribution of the proposed segment evaluation and selection method is fivefold: (1) it addresses the gaps in the marketing literature on the efficacious and effective assessment of market segments; (2) it provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with ROA and fuzzy cooperative n-person game theory; (3) it considers fuzzy logic and fuzzy sets to represent ambiguous, uncertain or imprecise information; (4) it does not insist on consensus but synthesizes a representative outcome based on qualitative judgments and quantitative data; and (5) it is applicable to national and international market segmentation. The practical application of this proposed framework illustrates the efficacy of the procedures and algorithms.

  • Issue Year: 18/2012
  • Issue No: 3
  • Page Range: 389-423
  • Page Count: 25
  • Language: English