A Structure Evaluation Model for Technology Policies and Programs

• Main Authors: Li, Chung-Wei, 李宗偉
• Other Authors: Tzeng, Gwo-Hshiung
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/36788261396059563211

博士 === 國立交通大學 === 科技管理研究所 === 97 === Most fields in the management of technology experience uncertainty in the environment of decision-making, especially in emerging technology fields. Information technology, biotechnology and nanotechnology are good examples of sectors with complex coordination problems. To deal with complex problems, structuring them through graphical representations and analyzing causal influences can aid in illuminating complex issues, systems, or concepts. The DEMATEL method is a methodology which can be used for researching and solving complicated and intertwined problem groups. The applicability of the DEMATEL method is widespread, ranging from analyzing world problematique decision making to industrial planning. The end product of the DEMATEL process is a visual representation—the impact-relations map—by which respondents organize their own actions in the world. In order to obtain a suitable impact-relations map, an appropriate threshold value is needed to obtain adequate information for further analysis and decision-making. To obtain the reasonable threshold value, with respect to the difficulty of discussions with experts, the researcher may decide upon the value subjectively themselves. This result may differ among researchers. In this dissertation, we propose a method based on the entropy approach, the Maximum Mean De-Entropy (MMDE) algorithm, to achieve this purpose. Using real cases to find the interrelationships between the criteria for planning SIP Mall policy and evaluating effects in E-learning programs as examples, we will compare the results obtained from the respondents and from our method, and discuss that the different impact-relations maps from these two methods.