English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56167/90161 (62%)
Visitors : 11563093      Online Users : 62
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118389


    Title: The Role of Technology Policy for Knowledge Transfer in Building Emergent Sector
    Authors: Chen, Duenkai;Chen, Shihhsin
    Date: 2019-02-15
    Issue Date: 2020-03-24 12:10:26 (UTC+8)
    Abstract: This research considers the interactions between knowledge transfer and technology policy and investigate how technology policy could help technology latecomer countries in maintain its economic competitiveness. We take Taiwan’s attempt to develop Artificial Intelligent sector as an example. Taiwan was one of the first newly-industrialised countries noted for maintaining exceptionally high growth rates and rapid industrialisation between the early 1960s and 1990s (Ash and Greene 2007, Hsu and Perkins 2001, Hong 1997, White and Gray 1988). In the 21st century, the successful development of information technology (IT) and semiconductor industries has played an important role in transforming Taiwan into an advanced emerging economy (Breznitz 2007, Fuller and Rubinstein 2013). In the past three decades, the efforts of the Taiwanese government have included support for and promotion of the emerging sectors such as biotechnology with the hope of upgrading the economic structure of Taiwan into a more advanced knowledge-based economy. However, Taiwan has continuously lost its leading technological status in an era of globalization. In recent years, the government in Taiwan has tried hard to provide incentives to build connections with the US (with special attention paid to the Silicon Valley) to seek the possibility of copying its successful development experience. As an intensively knowledge-based sector, the artificial intelligent sector is an attractive starting point for relatively small economies wanting to build high-value industries. The artificial intelligent sector originated from academic research, which relies heavily on scientific research, the kind that is routinely carried out in the public research sector (Bartholomew, 1997; Carlsson 2010). Previous studies of the biotechnology innovation system in Taiwan laid the foundation for this research by focusing on conflicts between government organisations (Wong, 2005) and the mutual interactions between governance policies and the development of the biotechnology innovation system (Chung, 2011). It is based on a theoretical focus, using the framework of a sectoral innovation system, the concept of knowledge transfer, and analysis of the implementation of technology policies. Empirically it integrated multi-perspective approaches with mixed qualitative-quantitative data gathering from several electronic databases, official publications. Finally, the project will explore the roles academic collaboration play in the networks evolving over time. These analyses will cover few decades to permit a dynamic and longitudinal perspective analysis. These results will be instructive for designing policy incentives to further enhance knowledge transfer between the US and Taiwan. Ultimately, this study hopes to find out how Taiwan can maintain its economic competitiveness in an era of globalization and technological change through developing its artificial intelligent sector.
    Appears in Collections:[Department of Innovative Information and Technology] Proceeding

    Files in This Item:

    File SizeFormat
    index.html0KbHTML3View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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