Search results

Companies need to innovate to remain in the market and be competitive. Thus, success will depend on your internal resources and the external sources of knowledge used. The cooperation between univerity and industry (U–I) allows companies to access resources that, in general, they do not have, allowing them to achieve innovation, competitive advantages, and competitiveness. The purpose of this study is to understand the determinants that influence U–I cooperation in creating knowledge and innovation.

This study analyzes the determinants considered essential for companies to establish cooperation processes with universities. The research uses the last community innovation survey data set, data from 14 countries, and 28,743 observations. The method uses logistic regression.

The results confirm that the company's size, the innovative capacities associated with R&D, exportation and public funds are essential and significant determinants for the cooperation with universities. On the other hand, the acquisition of machinery and training programs are not a critical factor in establishing cooperation with universities that are not in the same country. The analysis considered companies cooperation with universities of the same country, from the European Union (EU) or other countries outside EU.

In addition to providing substantial theoretical contributions on the subject, this research also provides more information about the importance of U–I cooperation, allowing to characterize companies interested in developing U–I cooperation.

The purpose of this paper is to draw insights from the actors-resources-activities (ARA) model and social capital literature to identify relevant activities shared by university-industry (U-I) actors prior to R & D cooperation.

Based on a qualitative methodology, a series of interviews were carried out with researchers from the biological sciences domain.

This study found that, at the outset of U-I links, companies’ motivations are strongly organizational, while academics are motivated at a personal level. The interactions grow from low-risk activities to partnerships on complex tasks, and depend on relational resources framed within the ARA and social capital theories. Results showed that shared interests are present at the outset of U-I links and grow thereafter. Trust and commitment were not ubiquitous at the outset, but rather at later stages of the cooperation, as a result of the developed interdependencies.

The combination of the ARA model and social capital in U-I links highlighted the different relationship levels (individual vs organizational), the disparities between early and established ties, and the interplay between low- and high-investment activities underlying researchers’ relationships. Several managerial contributions are presented for universities to promote greater integration with industry partners.

A new direction of research is presented towards lower levels of U-I cooperation, taking into account the relational resources and the activities shared in each level. This work distinguished the different actors’ motivations and clarified the role of trust and commitment at the outset of U-I links. This first assessment of Portuguese U-I interactions within the biological sciences provided valuable insights for both academics and practitioners.

This study aims to investigate how small- and medium-sized enterprises (SMEs) perceive the benefits and obstacles with university cooperation for themselves and regional development, setting out from the personal relations the parts have formed.

A quantitative approach was adopted, using a sample of 336 Brazilian SMEs that had undertaken some cooperation with universities in the past years.

From structural equation modelling, results show that interpersonal relations interfere in the type of cooperation formed, these being a catalyst in formalizing the cooperation. These relations also interfere in the perception of barriers and benefits of cooperation for the firm.

The results are clearer in the firm domain and less so in the region, implying that university-SME cooperation does not yet present clearly disseminated benefits so that firms can be more aware of the results. The barriers to cooperation seem to be overcome by interpersonal relations but also by the contracts established since they were more evident in the informal type of cooperation.

This study provides more empirical evidence about these relations in a context of low socio-economic development, a topic which is still under-explored in the field of university-firm cooperation.

This paper aims to refine cross-organizational knowledge creation theory by exploring the knowledge conversion process of University-Industry (U-I) collaboration in Chinese aerospace industry. An ancient Chinese philosophy named I-Ching is also introduced to illustrate dynamics of knowledge creation to achieve enlightenment.

To describe the knowledge conversion tendency, a theoretical framework is developed by reference to Boisot’s (1995) Information Space. The application of the framework is described in the in-depth case study of micro-electrode manufacturing for aerospace vehicles. The dynamics of each stage in knowledge conversion is investigated with the implications from I-Ching.

Analysis of the results suggests that seven certain stages can be especially indicative of cross-organizational knowledge creation, namely: demand codification; knowledge gain; knowledge digestion; knowledge sharing; knowledge propagation; knowledge spillover and knowledge degeneration. A knowledge gain, digestion, sharing and propagation (GDSP) knowledge creation theory is developed accordingly. The form of knowledge in different stages is variable, the change among various forms is effectively explained by I-Ching.

There is clearly a strong requirement to test the framework further with other cases, such as sampling cases from different industries and of different firm scales. Besides, the knowledge creation processes on the organizational level and the individual level are quite different, which call for further study.

First, the theory helps firms to get a better understanding of the nature of U-I collaboration, that is to say, knowledge creation. That will, in turn, power the firm to take the initiative to participate in knowledge creation activities. Second, the illustration through I-Ching provides reasonable and easily understandable interpretations for Chinese corporate managers and executives. Traditional Chinese culture will be beneficial to make U-I collaborations more efficient and effective in China.

A new “GDSP knowledge creation theory” which enriches and advances the typical socialization, externalization, combination and internalization (SECI) knowledge creation theory in some aspects is proposed. The theory is deeply grounded in Chinese culture. Furthermore, the conversion of different knowledge forms in the theory is considered from a totally new perspective of ancient Chinese philosophy: I-Ching.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

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。

The purpose of this paper is to present an approach to start industry–university (I-U) collaboration through a stepped process aimed at building a portfolio of research and development (R&D) projects.

It devises from an 18-month action-research program held between a multinational automotive manufacturer and the a top-ranked Brazilian university.

The three-stage R&D shared portfolio methodology results from a combined application of quality function deployment-like correlation matrices and roadmapping. A first matrix tackles industry interests and correlates product performance dimensions and components to reveal broad research areas of interest. A second matrix correlates research areas and engineering competences, highlighting the types of the required know-how from the university standpoint. Thirdly, academic experts help to fill a roadmap-like layer with possible collaborative R&D deliverables over time.

Since the study lies on a single experience, extensions to other contexts should be made with care. However, the proposal offers robust rationale and a set of supporting tools to nurture new applications.

Theoretical and methodological reflections help managers tackling the long-standing problem of setting a shared R&D agenda.

Literature on I-U collaboration tends or to over-emphasize the role of technology transfer offices in promoting the partnerships or to seek implications for public policy. This research offers a valuable approach to build shared R&D project portfolio from a managerial viewpoint, filling an academic gap and offering guidance for managers in both sides.

The purpose of this paper is to assess how technology‐based university research drives innovation in Europe and China.

This paper draws on extensive theoretical research and literature reviews, and presents a framework based on theories on networking, knowledge creation and innovation. It then introduces three European cases to illustrate practical applications of the framework, and also links the findings to three Chinese cases to make comparative observations as well as recommendations related to Triple Helix concepts and their implications in the China context. It addresses the issue of how learning from universities can enhance company flexibility and performance in innovation, and outlines three different models of collaboration.

The framework and empirical research suggests that weak ties are useful for inspiration in exploration, but that strong industry‐university (I‐U) ties are required to support exploitation. This finding applies both to Europe and China in the industries covered.

This paper provides a new theoretical rationale for I‐U learning alliances as a natural way out from the managerial problem of trying to perform both exploration and exploitation within the same company boundaries. Through the theoretical framework, the academic science domain becomes a logical partner to handle the full phase of exploration and support the process of exploitation. The presented European cases of Bang & Olufsen, Combibloc and Porsche offer new insights into how to perform this act in practice, while the three China‐related cases allow us to cross analyse empirical findings and draw initial conclusions with policy implications for China.

After receiving advertising messages, most consumers rarely purchase the advertised products at once, which results in a delay between advertising exposure and its effect. This paper is devoted to exploring the advertising decision and coordination issues for a supply chain system subject to advertising immediate and delayed effects.

By applying the game theory, the differential game models with delay are constructed for the supply chain to examine the equilibrium advertising efforts, brand goodwill and the optimal profits under the different cooperation situations. A class of transfer payment contracts is designed to achieve the best outcome of the supply chain. Illustrative examples are given to demonstrate the effectiveness of addressed results and provide some managerial perspectives.

It can be found that the complete cooperation situation can stimulate the advertising investment, drive the product demand and improve the economic profit. Also, a class of transfer payment contracts is designed in this paper, such that the supply chain can perfectly realize the profit maximization, and each member can achieve the Pareto improvement.

This work does not address the random market environment, which can be filled in the future. Furthermore, this paper has been done in a single supply chain structure. It is an interesting future line of research when taking competitive behavior (e.g. competition among manufacturers, retailers or supply chains) into account.

This study will help managers make advertising strategies, advise an optimal cooperation way and design the coordination contracts to ensure the economic development of the supply chain. These obtained conclusions may provide a valuable decision-support for marketing management.

For a supply chain, the most previous literature about dynamic advertising models focused on a single advertising effect-immediate effect. This work explores advertising strategy with double advertising effects and investigates the coordinating power of new transfer payment contracts.

The purpose of this paper is to examine the issues of integrating R&D globalization, national innovation system, university‐industry (U‐I) knowledge transfer, and international U‐I collaboration.

A framework for research on internationalization of U‐I collaboration is proposed and the process of international U‐I collaboration could be categorized Processes A (including A1‐A2‐A3), B, C and D. The framework is applied to explore the process and contribution of international U‐I collaboration in China based on the cases studies of Philips' Brainbridge program and institute for the study of the ancient world (ISAW) international cooperation.

Processes A and B are confirmed in this research. Through the international U‐I collaboration, foreign universities contribute to the development of innovative capabilities of industries in China, while the foreign companies could play roles in the China's national innovation system. The research suggests that the international U‐I collaboration could be used as a bridge to connect strategies of R&D globalization to the improvement of national innovation system. With the internationalization of U‐I collaboration, the national innovation system would be developing to global innovation system. Moreover, this paper provides a method of technological internationalization and practical suggestions to the management of U‐I collaboration.

More empirical research is necessary to further examine this framework.

This paper provides a framework to analyse the process of international U‐I collaboration. Additionally, it enriches the research on R&D globalization from the industrial fields to the academics and the research on national innovation system. The findings will contribute to the practice and diffusion of international U‐I collaboration from the industrial and governmental levels.