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| Title: | Key Success Factors of Knowledge Hub: Comparison among Silicon Valley of United States, Hsinchu Science Park of Taiwan, and National Information Technology Park of Mongolia |
| Authors: | Amrita, Batchuluun |
| Contributors: | 經營管理學系 |
| Keywords: | knowledge hub;knowledge spillover;regional development;technology knowledge;innovation;absorptive capacity;learning environment;fuzzy analytical hierarchy process |
| Date: | 2016 |
| Issue Date: | 2017-03-08 08:03:28 (UTC+0) |
| Publisher: | 亞洲大學 |
| Abstract: | In globalized world, variety of industrial and science parks exist to enhance the country development based on own unique platform to impact on economic growth of the country. One of these parks is so–called the knowledge hub, which focuses on entrepreneurs’ development intensifying knowledge–based corporate competition. In order to make a decision on establishment of the knowledge hub to foster the industrial development with collaboration academic institutions and industries, it needs to define the best matched factors and criteria of the knowledge hub. Many factors influence on development and performance of the knowledge hub, however it is questionable, which factors have direct impact and which factors have indirect effects that become a key issue for entire knowledge based economy. Considering this question, the dissertation aims to evaluate the key factors of the knowledge hub. In this perspective, all relevant factors listed from the literature reviews and selected the most leading factors that could drive the knowledge hub, such as technology knowledge, knowledge spillover, learning environment, innovation performance, absorptive capacity and regional development. Then, five to six sub–factors selected from literature reviews related to each main factor, which could shape the knowledge hub. For an efficient outcome, this research compares Silicon Valley of the United States, Hsinchu Science Park of Taiwan and National Information Technology Park of Mongolia to determine the best matching factors of the knowledge hub in developed and developing countries in reality.
Comparing peers is recognized methodology to underlie an effective and efficient gateway and useful insights for successful development of knowledge hub. The methodology of the dissertation divides into three parts: 1) Correlation analysis is to measure a linear relationship between main factors and sub–factors that used a single questionnaire; 2) Analytical hierarchy process (AHP), and 3) fuzzy analytical hierarchy process (FAHP) to evaluate and define the determinant factors of knowledge hub that used one questionnaire for both methods. Fuzzy AHP has more accurate judgment than AHP analysis. A total of 101 respondents for correlation questionnaire and 99 experts responded to AHP and fuzzy AHP questionnaire from three countries. The result shows that innovation performance is the most important factor for knowledge hub by AHP method in both developed and developing countries. However, in accordance with the FAHP analysis, absorptive capacity and learning environment are the most important factor for developed countries and regional development for the developing country. Consequently, knowledge hub becomes a cost effective and intermediary platform for academicians and entrepreneurs in developing countries, if they focus on absorptive capacity and learning environment to maintain regional development in the long–term. The main contribution of this dissertation is an empirical investigation of key factors of knowledge hub comparing developed and developing countries. |
| Appears in Collections: | [經營管理學系 ] 博碩士論文
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