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Improving the E-Store Business Model for Satisfying Customers’ Needs Using a Hybrid MCDM Combined DANP with Grey Relational Model

  • Wan-Yu Chiu
  • Gwo-Hshiung Tzeng
  • Han-Lin Li
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 4)

Abstract

The current paper aims to qualitatively and quantitatively measure and evaluate e-store index criteria used to achieve the aspired levels for satisfying customers’ needs. Such research should help e-store managers understand customers’ feelings and requirements for improving the e-store business. Therefore, in the current approach, we use a hybrid MCDM model to address the dependent relational problems among the criteria. Specifically, we combine DANP (DEMATEL-based ANP) and grey relation analysis (GRA) methods to calculate the relative importance weights and relation of the criteria between interdependence and feedback. We also propose a strategy to improve the criteria gap for closing to the aspired levels of human life and convenient service. As such, this research can provide e-store managers with an understanding of how to improve business models in order to achieve consumers’ needs and promote more repurchases and enable them to devise the best marketing strategies to provide the most effective and efficient service for their customers.

Keywords

Analytic Hierarchy Process Grey Relation Analysis Information Search Grey Relation Grade Relative Importance Weight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Wan-Yu Chiu
    • 1
  • Gwo-Hshiung Tzeng
    • 2
    • 3
  • Han-Lin Li
    • 1
  1. 1.Institute of Information ManagementNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Institute of Management of TechnologyNational Chiao Tung UniversityHsinchuTaiwan
  3. 3.Institute of Project ManagementKainan UniversityTaoyuanTaiwan

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