A hybrid selection model for emerging technology

Yung Chi Shen, Shu Hsuan Chang, Grace T.R. Lin, Hsiao Cheng Yu

Research output: Contribution to journalArticle

72 Citations (Scopus)

Abstract

Technology selection, which influences the advantages of an enterprise or a country, is a multi-criteria decision issue that can be improved by integrating different methods. In addition, it is more and more difficult to identify the right technologies because the technologies are increasing in number and complexity. This study proposes a technology selection process integrating fuzzy Delphi method, analytic hierarchy process (AHP), and patent co-citation approach (PCA) for technology selection. The former effectively gathers experts' judgments toward technology selection criteria and conducts the fuzziness existing in their responses. The analytic hierarchy process has the strength of identifying criteria and obtaining their relationship and their weights. The patent co-citation approach identifies the major R&D fields of a specific technology from patent data. Through this proposed process, the key technology fields can be identified in the end. The organic light emitting diode (OLED) technology in Taiwan is used to be an example to illustrate the proposed technology selection process.

Original languageEnglish
Pages (from-to)151-166
Number of pages16
JournalTechnological Forecasting and Social Change
Volume77
Issue number1
DOIs
Publication statusPublished - 2010 Jan

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation

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