Evaluating the strategy of local public technology centers in regional innovation systems: evidence from Japan

Fukugawa, Nobuya

doi:10.3152/030234208x299062

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…It emphasizes the behavior of actors through inter-regional exchange and learning and the generation of knowledge commons through competition and cooperation, thus forging a number of formal and informal relationships to reduce uncertainty and lower transaction costs. Some scholars suggest that innovation stems from the network environment of local culture, including the underlying entrepreneurship, the system of competition and cooperation between enterprises, and the social structure (Asheim, 2007;Cooke, 2010;Fukugawa, 2008). These elements are characterized by their strong regional embeddedness (Maskell and Malmberg, 1999), which are greatly interoperable with regional innovation systems.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of critical factors for the regional innovation system within the HsinChu science-based park

Tsai

Chang

2016

Kybernetes

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Purpose – The purpose of this paper is to collate relevant literature on the theoretical background of regional innovation systems and factors that impact the operational effectiveness of regional innovation systems. Design/methodology/approach – The collated information is then used to determine the opinions of experts from industries within science-based parks, and the scholars on the researches of regional innovation systems in Taiwan. The analytic hierarchy process (AHP) is used to evaluate the critical factors of regional innovation systems. Findings – This study finds that industry cluster effects constitute the most significant operating factor for regional innovation systems within the Taiwanese science-based parks. In addition, this study not only confirms that partners or parent firm location which were advocated by Tödtling et al. are also critical to Taiwanese regional innovation systems, but also verifies how well the relationships to partners or parent firm are equally important for expansion the regional innovation systems. Research limitations/implications – The concepts of regional innovation system have been established since 1990, and related articles have been published from European and Asian scholars, however, seldom does literature offer questionnaires or research items to measure the operational effectiveness of a regional innovation system. Therefore this study has developed a questionnaire, by reviewing literature and verifying it by the AHP method, with Taiwan’s HsinChu Science Park as the subject case. For the contribution on theories, this study inducted the construction of new innovation environments, new interactional behavior in regional organization innovation, and injection of new resources into regional innovation as the three main constructs to influence the operational effectiveness of regional innovation systems. In addition, this study has used experts’ questionnaire answers and the AHP method to clarify the priority of factors to operate the regional innovation system. Practical implications – Industry cluster effect, construction of knowledge infrastructure and how close partners or parent firm are (distance and relationship) are the top three factors in HsinChu Science Park. The duties of the government are not merely picking good firms for the regional innovation system, but also making policies and defining regimes, providing a good business environment for campus firms, universities, and research institutions, as well as offering plenty of R & D funding to encourage industry-academia cooperation. Governments must invest in infrastructures, such as: establishing databases, libraries, information networks, the national technical standards for certification, and other public services, to facilitate industry-academia cooperation. Social implications – These research results indicate the operating essentials of regional innovation systems are not limited to interactions among regional organizations. This study suggests that the success or failure of a new regional innovation system would instead, be dependent on the regional environment, as in software planning and support, as well as the relationship of innovation with policy implementation and administration. Originality/value – Results showed that the top-five factors influencing the operational effectiveness of regional innovation systems are the industry cluster effect, the construction of knowledge infrastructure, how close to partner’s or parent’s firm (distance and relationship), import of foreign capital and technology, and the implementation of regional innovation policy.

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Section: Introductionmentioning

confidence: 99%

Evaluation of critical factors for the regional innovation system within the HsinChu science-based park

Tsai

Chang

2016

Kybernetes

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“…LTCs and universities in the same region do not compete but complement one another, and LTCs often help local companies in absorbing advanced academic knowledge. Thus the existence of LTCs is a distinctive characteristic of RTH in Japan (Fukugawa, 2008).…”

Section: Common Features Of the Regional Triple Helix In Japanmentioning

confidence: 96%

“…The main duties of LTCs are to lend research equipment, consult with companies on technical issues and joint R&D as well as to match academia with industries for collaboration in the prefecture. In Japan, LTCs have played an important role in the innovation activities of local companies (Fukugawa, 2008). With regard to academia, central government established more than one national university in each prefecture for human resource development and R&D. Japan has two types of national universities: traditional research; and local universities.…”

Section: Regional Innovation Initiative In Japan and Profile Of Threementioning

confidence: 99%

Regional Triple Helix and the Contextualization of Regional Policy

Nozawa¹

2015

Industry and Higher Education

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A system of university–industry–government (UIG) collaboration in a region can take the form of a Regional Triple Helix (RTH) model. RTH can be regarded as the collective relations of universities, companies and governments. The study was conducted by postal survey, targeting the collaborative activities of companies and examining the case of three selected regions in Japan. When the Triple Helix approach is adopted at regional level, territoriality becomes a critical issue. The more companies that accumulate experience of UIG collaboration, the greater is their ability to exploit external knowledge. Consequently, the RTH structure may become increasingly vulnerable as it evolves. Even though the three regions studied displayed similar local infrastructures, their RTHs differed. To understand the features of RTH clearly, it is argued that regional conditions must be investigated in more detail and thus that RTH, as a regional policy, must be contextualized.

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“…From the perspective of researchers, discussion on RIS focuses on technology, people, and money and the main actors include firms, research institutes, the financial sector, and governments (Sternberg 1996). Fukugawa (2008) pointed out that it is important for regional innovation policymakers to design incentive mechanisms for knowledge transfer according to the characteristics of the regional innovation systems. Development of certain regional innovation systems has been spontaneous, such as EmiliaRomagna in Italy where there is no major participation of national or the provincial governments; and instead experience in industrial novelty was adopted as strategic guideposts.…”

Section: Regional Innovation Systemsmentioning

confidence: 99%

How Industrial Clusters and Regional Innovation Systems Impact the Knowledge Innovation Within the Taiwanese Science-Based Parks Firms?

Chang¹,

Tsai²,

Henderson³

2012

New Research on Knowledge Management Applications and Lesson Learned

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Evaluating the strategy of local public technology centers in regional innovation systems: evidence from Japan

Cited by 12 publications

References 29 publications

Evaluation of critical factors for the regional innovation system within the HsinChu science-based park

Evaluation of critical factors for the regional innovation system within the HsinChu science-based park

Regional Triple Helix and the Contextualization of Regional Policy

How Industrial Clusters and Regional Innovation Systems Impact the Knowledge Innovation Within the Taiwanese Science-Based Parks Firms?

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