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The purpose of this paper is to study the triple helix (TH) of Chinese university‐industry‐government relationships.

Following an evolution path of TH in China, the relations among the actors for innovation have been analyzed and then it is realized that it is not university‐government‐academe relations, but “university‐industry‐government relations”.

The paper points out some limitations and flaws of university‐industry‐academy and brings forward the evolutionary path to TH of university‐industry‐government collaboration and development to cope with these practical and theoretical problems.

The author asserts that university‐industry‐government should be affirmed, not university‐industry‐academy in China for truth, which can dialogue with international academic circles.

The purpose of this paper is to present a strategic framework of successful knowledge transfer through the development of university‐industry interactions in China.

The research is designed based on a single case study with qualitative analysis. Data were collected through documentary analysis, semi‐structured interviews and participated observations of the commercialization project within Tsinghua University (China), which is one of the world leading research universities in science and technological innovation.

Four modes of university‐industry interactions during the process of knowledge transfer have been identified, which contribute to the success of knowledge transfer at different stages of university‐industry relations. They are: university‐dependent low sticky interaction; university‐dependent high sticky interaction; mutual‐dependent high sticky interaction; mutual‐dependent low sticky interaction. In addition, the development of entrepreneurial spirit within the university and the implementation of Professors of Practice have also been recognized as vital for building and maintaining effective university‐industry interactions.

The distinctiveness of this paper lies in contributing to the existing theories of knowledge transfer between university and industry by identifying the specific modes of interactions that contribute to the success of knowledge transfer between university and industry. The findings also have important implications for government policy makers, university academics and business practitioners for designing and implementing knowledge‐base innovation strategies and creating sustainable competitive advantages through successful knowledge transfer between university and industry. This may enable policy‐makers to understand the complexity and dynamics involved in the process of technology commercialization and take into account the importance of the institutional arrangement and appropriate incentive system in supporting effective knowledge transfer and commercialization.

This paper aims to explore the determinants of firms’ attitudes to R&D cooperation with universities with the goal to propose a model of knowledge transfer university-firm.

By understanding university-industry cooperation as a process, the model in this study is based on two factors: the “promoter of university-industry relations” (PUIR) and a technological system that is able to match the research supply of universities with the demand for innovation of the firms. A total of 375 firms, 420 research groups and 18 experts in knowledge transfer from Spain, Portugal and France have been involved in this study.

This study provides the first evidences of the relation between the number of matches’ demand-supply of research, the number of university-firm relations and the willingness to cooperate; all of these presented in the knowledge transfer model. Results also reinforce the utility of the role of PUIR and the matching system in the open innovation process.

However, more evidences are necessary to get a complete validation of the model. In the future, the continuous utilization of the matching system by the PUIRs of the selected regions will allow the authors to evaluate how well the system is working by analysing the possible increases in formal collaboration university-firm in the area of R&D.

This study contributes to the literature through aligning the open innovation and intellectual capital theories in the specific and complex context of university-firm collaboration. Also, little research regarding this topic has been noticed in SUDOE European Union (EU) countries (SUDOE is an EU territorial cooperation programme that supports regional development by funding transnational projects).

This study aims to make government usage of technology research grants more efficient and to evaluate how to use university–industry–research cooperation to promote industrial innovation in Taiwan.

This case study aims to use the triple helix model and other references to develop indicators which can estimate the performance of university–industry–research cooperation in Taiwan. The study selects three facets: “(prior) mechanisms,” “(in-progress) regulations” and “(post-hoc) operations” to find out the critical indicators contributing the final outcome. The study found that a successful university–industry–research cooperation requires the following factors: strengthening review methods for the mechanisms; its relationships of rights and obligations; policy needs in regulations; and plan incentives in operations.

It is recommended that, to promote university–industry–research cooperation in Taiwan, resource distributors and program management units should not only continue program application incentives and strengthen interdepartmental resource integration, they should also consider the establishment of a fair, just and open review mechanisms, and they should enhance the relationship between the rights and obligations of university–industry–research cooperation.

The study of this program includes application review before, during and after the program, management examination and performance evaluation to formulate recommendations as reference points for resource distributors and grant recipients. And because of industry–university cooperation being the main way of research and technology development, the findings and suggestions of this study may also be helpful for other grant systems in the world.

There are many literatures on the factors that affect innovation performance, but few on the effects of knowledge base of an economy on innovation performance. One of the reason is that knowledge base is difficult to measure. Leydesdorff put forward a new method called the triple‐helix model of “technology, organization, and territory” to measure knowledge base of an economy. So, the purpose of this paper is to attempt to validate empirically whether knowledge base in terms of triple‐helix relations among “technology, organization, and territory” has a positive effect on innovation performance.

The authors developed three hypotheses on the basis of reviews, and used multiple regression models and data from the Statistical Yearbook of China to study empirically the relations between knowledge base of an economy, expressed in terms of the triple‐helix relations among “technology, organization, and territory”, and innovation performance.

Not all types of innovation performance are promoted by knowledge base in terms of the triple‐helix relations among “technology, organization, and territory”. The positive effect of knowledge base on patent produced as innovation performance is significant, but is not significant on technology produced and new product development. The technology level and organizational type of a region are important factors that affect patent produced and technology produced. However, their effect on new product development is not significant. “Size of enterprises” can better represent a helix of triple‐helix relations than “ownership of enterprises”. This means that the effect of “size of enterprises” is more direct. Medium‐tech sectors are more important than high‐tech sectors to patent production when the mechanism of interaction and synergy of technology, organization and territory exists.

This paper designs multiple regression models in terms of the triple‐helix relations among “technology, organization, and territory”, and helps to put forward some suggestions to enhance the innovation performance of a country or region.

Close interaction between universities, industries, and governments has given rise to hybrid organizations incorporating economic development alongside scientific research and higher education. We will approach this phenomenon and the related organization-theoretical problems by looking at two cases of discipline making to discuss the potential of the concept of organizational field introduced by the neoinstitutionalist school of organization theory. As this concept presumes the Bourdieusian theory of social fields, we will consider possibilities of reflective contesting of the states of doxa in discipline making in regard to organizational aspects of disciplinary boundaries in the university-centered system of higher education, its demarcation to business and schooling, as well as to the related ideology of professionalism and science policy. We will also comment on the Bourdieusian conceptuality inscribed in the neoinstitutionalist metaphor of organizational field from the perspective of systems theory inspired by Luhmann. This is because we believe that further development of the semantic focus in the problem of disciplinary boundaries would benefit from Luhmannian tools designed to grasp organizations as social systems that facilitate interrelations of differentiated function systems relevant for discipline making in current technoscience.

This paper aims to extend the existing views of coopetition into the broader context of open coopetition.

The authors build on the literature about open innovation cooperation between competitors in the open-source software industry, which we generalize to show that open coopetition between competitors and third parties can be observed in other industries and institutional settings.

The authors outline a research program on the management challenges of open coopetition-related and argue that open coopetition can not only be observed between business rivals but also between partners from university, industry, government and further institutional backgrounds.

The authors introduce to so-far neglected roots of the emerging research program on open coopetition and extend the prevailing business focus of open coopetition research to also systematically include open coopetition between partners from business and other spheres of society.

University, industry and government relationships, known under the Triple Helix, have been studied under various aspects. The West African region and countries have been analysed with mutual information and transmission power, two information theory-based indicators. The purpose of this paper is to portray the landscape of West African Triple Helix innovation systems using three main game theory indicators (core, Shapley value and nucleolus) with the objective to measure the synergy within the selected innovation systems.

The collaboration between university, industry and government is modelled as a three-person coalitional game. Bibliographical data of selected countries were collected from Web of Science and organised according to collaboration patterns between the three actors. The characteristic functions of the games were computed, the cores plotted, the Shapley values and the nucleoli computed.

Either university or government has more power to create and lead to synergy; government shows solidarity towards university and industry in most of countries; and they are joined in their efforts by industry in two countries. The core exists in all the countries meaning that all the selected innovation systems present synergy; however, the extent is limited and varies over countries.

Innovation includes all research products; however, this study focuses on publications only.

Synergy within a Triple Helix innovation system is studied up to now with information theory indicators. The paper portrays the landscape of West African Triple Helix innovation systems using three main game theory indicators: the core, the Shapley value and the nucleolus and gives a new way to study university, industry and government relationships.

This paper aims to explore the key anchors of the National Innovation System shaping the nature of collaboration between academic high-performance computing centres (academic HPC centres) and small- to medium-sized enterprises (SMEs) working in the automotive and electronics sectors of the Danube region. With two main research questions, it discusses the importance of knowledge transfer and technology transfer for collaboration between University and Industry (U-I collaboration) in three groups of developmentally distinct countries: competitively advanced, competitively intermediate and competitively lagging. As main anchors of the innovation system, stable legal environment, exciting innovation policies and strong R&D funding are recognised.

A qualitative empirical study in 14 Danube region countries included 92 focus group participants, expert representatives of academic HPC centres and SMEs. The data were audio recorded, transcribed and analysed.

The findings show the main prerequisites of the framework conditions for efficient U-I collaboration evolve through a goal-oriented National Innovation Policy and developed and functioning legal environment supporting labour market and intellectual property (IP) protection and enforcement. Additionally, skilled people are needed to be able to operate with HPC, where it seems all the countries lack such skilled workforce. In competitively lagging countries, the high levels of brain drain exhibit strong impact to U-I collaboration.

Research into relationships between academic HPC centres and SMEs conducted was qualitative; therefore, limitations in terms of generalisation arise from it. On the other hand, the research is promising in terms of offering the guidance for policy makers who can use the findings when delivering innovation policy mix, adjusted to developmental level of own innovation ecosystem.

The study is among the pioneering work in U-I collaboration between academic HPC centres and SMEs from automotive and electronics industries in the Danube region. The research addresses the dynamics of collaboration and offers policy implications to strengthen the particular U-I collaboration.

本文旨在探究國家創新系統的主要支柱; 這些支柱決定了學術性的高速網路與計算中心 (註: 此為直譯) (以下簡稱學術高網算中心) 與於多瑙河地區的汽車製造業和電子產品行業內營運的中小型企業之間的合作性質。本文透過兩條主要的研究問題、去探討知識轉移和技術轉讓對大學與產業界之間的合作的重要性而這些產業是屬於在發展階段上三個明顯不同的國家組別裏的這三個組別是 競爭先進的、競爭性中級的和競爭落後的。穩定的法律環境、令人興奮的創新政策和強大的研究與開發資金被認為是創新系統的三個主要支柱。

研究人員在14個位於多瑙河地區的國家裏進行一個質性觀察研究研究涵蓋92個焦點小組參與者、來自學術高網算中心和中小型企業的專家代表。有關的數據被錄音繼而被轉寫下來最後被分析。

研究結果顯示效率高的大學產業界合作的框架條件的主要先決條件是透過一個以目標為導向的國家創新政策而逐漸形成繼而發展起來; 另外所需的條件是一個支援勞工市場、保障知識產權、並執行有關的法律的正常運作的法律環境。其次若想與學術高網算中心一起工作技術人才是必須的因學術高網算中心內的所有國家似乎欠缺技術勞動力。在落後於競爭對手的國家裏高度的人才外流對大學與產業界之間的合作會產生重大的影響。

由於研究採用的研究方法為質性研究法故研究結果、就普遍化的歸納而言是有其局限的。唯研究結果在實務方面有其作用因政策制定者在推行與科技進步與對策有關的策略時他們可把研究結果作為指引就其自身創新生態系統的發展水準而作出適當的調整。

本研究探討涉及學術高網算中心與於多瑙河地區的汽車製造業和電子產品行業內營運的中小型企業之間合作的大學產業界合作就此而言可說是開創性研究之一。本研究探究有關的大學產業界合作的變革動力並為政策制定者提供啟示以能強化有關的合作。