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Group Decision and Negotiation

, Volume 27, Issue 2, pp 251–284 | Cite as

Utilizing the Hierarchy Structural Fuzzy Analytical Network Process Model to Evaluate Critical Elements of Marketing Strategic Alliance Development in Mobile Telecommunication Industry

  • Jia-Wei TangEmail author
  • Tsuen-Ho Hsu
Article

Abstract

Extant studies on marketing strategic alliance development lack systematic measurement models; consequently, they cannot provide a holistic picture of the relationship evaluation stage. In addition, it is difficult to clearly understand the interactive effects between the critical elements of marketing strategic alliance development. Therefore, this study proposes a systematic measurement model, called the hierarchy structural fuzzy analytical network process model (H-S FANP model), to evaluate the correlation, interaction, and mutual dependence of the critical elements at the evaluation stage. This model combines four methods, i.e., the interpretation of structural model, Matrice d’ Impacts Croisés Multiplication Appliquée à un Classement, fuzzy linguistic preference relations, and analytical network process (ANP), to overcome various problems encountered when using the conventional ANP. To illustrate how the H-S FANP model can be applied, this study uses the mobile telecommunications industry in Taiwan as an empirical subject. The findings show that the H-S FANP model can assist the mobile telecommunications industry in its long-term marketing strategic alliance development and help decision-makers in improving their evaluation quality and calculation efficiency when analyzing critical elements during the evaluation stage of development.

Keywords

Marketing strategic alliance Fuzzy linguistic preference relations Analytical network process Interpretation of structural model Matrice d’ Impacts Croisés Multiplication Appliquée à un Classement Mobile telecommunication 

Notes

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. 1.Department of Marketing and Logistics ManagementNational Penghu University of Science and TechnologyMagongTaiwan
  2. 2.Department of Marketing and Distribution ManagementNational Kaohsiung First University of Science and TechnologyKaohsiungTaiwan

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