Exploring the best strategy plan for improving the digital convergence by using a hybrid madm model

Wan Chi Jackie Hsu, Ming Hone Tsai, Gwo Hshiung Tzeng

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


This study proposes a new hybrid MADM model that can explore the best strategy plan according to the environmental attributes that influence digital convergence, with the additional consideration of societal and individual needs for improving the digital convergence toward satisficing users’ needs. The proposed hybrid MADM model employs the DEMATEL method to construct an influential network relationship map (INRM), and find the influential weights of DANP (DEMATEL-based ANP). Next, a modified VIKOR method is employed to assess the weighting of identified attributes to integrate the performance gap for each criterion into dimensions and the overall. Finally, this paper presents Taiwan as an empirical case to demonstrate the effectiveness of the proposed model in practically improving laws and regulations to plan for digital convergence. The contributions of our proposed model can be summarized as follows: (1) The INRM can be used to assist government bodies in understanding the influence and relationships of digital convergence development; (2) The modified VIKOR can be employed to reduce performance-gap towards achieving the aspiration level; (3) The model can help decision-makers to avoid choosing the optimal inferior alternative for reaching a certain aspiration level through continuous improvement.

Original languageEnglish
Pages (from-to)164-198
Number of pages35
JournalTechnological and Economic Development of Economy
Issue number1
StatePublished - 2018


  • Dematel (decision-making trial and evaluation laboratory)
  • Dematel-based analytic network process (danp)
  • Digital convergence development
  • Influential network relation map (inrm)
  • Modified vikor (vlsekriterijumska optimizacija i kompromisno resenje)
  • Multiple-attribute decision-making (madm)


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