National Changhua University of Education Institutional Repository : Item 987654321/13513
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6507/11669
Visitors : 30049612      Online Users : 591
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13513

Title: A hybrid selection model for emerging technology
Authors: Shena, Yung-Chi;Chang, Shu-Hsuan;Lina, Grace T.R.;Yu,Hsiao-Cheng
Contributors: 工業教育與技術學系
Keywords: Fuzzy Delphi method;Analytic hierarchy process;Patent co-citation approach;Organic light emitting diode
Date: 2010-01
Issue Date: 2012-08-27T09:30:39Z
Publisher: Elsevier BV
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.
Relation: Technological Forecasting and Social Change, 77(1): 151-166
Appears in Collections:[Department of Industrial Education and Technology] Periodical Articles

Files in This Item:

File SizeFormat
index.html0KbHTML686View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback