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University–industry collaborations are an important driver of innovation that highlights the benefits of collaborative processes across organizational boundaries. However, like in most collaborative processes, many challenges remain when trying to manage the process of knowledge sharing and interaction in university–industry partnerships. In this chapter, the authors specifically investigate how leadership as a managerial dimension facilitates collaboration within university–industry joint laboratories. The authors present an explorative and inductive case study of eight joint laboratories set up by Telecom Italia within five major Italian universities. The results show that the laboratory directors play a crucial role in providing a dynamic and socially active working environment, which is enabled through a process of sensemaking and sensegiving. The authors, moreover, find that this process plays a crucial role by shaping effective communication channels that facilitate knowledge sharing and transfer of information. The authors find that this process ultimately acts as a mediator between charismatic leadership on the individual level and distributed leadership on the collective level.

U.S. industry–university (I–U) relations around intellectual property (IP) have become increasingly contentious since the Bayh-Dole Act of 1980, while especially lucrative patents and licenses resulting from biomedical and pharmaceutical discoveries capture the headlines. Some assert that I–U relations around IP are in crisis, others suggest that no such problem exists, and still others bemoan the “increasing commercialization” of U.S. education. This chapter develops a multi-level model of I–U IP dynamics, drawing on pluralistic, multi-theory perspectives, field interviews, and secondary data. The model includes three levels: the institutional (economy) level, I–U (sector) level, and the organizational level. These levels jointly affect the immediate context of any deal. The chapter closes with a discussion of this model's implications for further research and some theoretical speculations.

We examine the determinants of multinational firms’ propensity to conduct R&D activities in host countries, with specific attention to the influence of host countries’ university research. We consider heterogeneous locational drivers related to the type of R&D activity: basic research, applied research, development for local markets, and development for global markets. Drawing on official survey data on R&D activities by 498 Japanese multinational firms in 24 host countries and estimating two-stage models, we find that the likelihood that firms conduct R&D in a host country is generally increasing in the strength of university research. Conditional on a firm’s R&D presence, university research strength is associated with a greater propensity to conduct (basic) research activities rather than (local) development, while the intensity of host country university–industry collaboration is most strongly associated with applied research. Host country experience and the depth of the firm’s manufacturing presence are also associated higher propensities to engage in research.

The academic experience of top management team (TMT) has a positive impact on firms' innovation performance. However, existing studies predominantly focus on the educational qualifications and institutional prestige of TMT, failing to comprehensively evaluate whether TMT possess genuine academic experience and the role of academic competence. This article aims to examine whether TMT academic competence has a potential influence on firm innovation performance and to understand the mechanisms behind this relationship.

Using firm-level metrics of Chinese listed firms and TMT scholarly publication data spanning 2000–2021, this paper investigates whether TMT academic competence can promote firms' innovation performance and conducts a moderated mediating effect analysis.

(1) Academic competence of TMT can contribute positively to firms’ innovation performance; (2) university–industry collaboration partially mediates this relationship; (3) the mediating effect is enhanced by cognitive proximity and (4) distance proximity does not diminish the mediating effect.

Outcome of this study can assist academia in further understanding the impacts of TMT on firm innovation and aid government in promoting university–industry collaboration. Simultaneously, it can help firms adjust their TMT selection and training strategies to enhance innovation performance.

This article, as the first to construct an index of academic competence and to explore whether it has an impact on firms' innovation performance and its inherent mechanism, can provide a new research perspective for the study of the impact of TMT's characteristics on firms' innovation.

The purpose of this paper is to review the answers to the question posed in the introduction to the themed issue: how can effective university‐industry partnerships be developed?

The paper consolidates the findings of various studies featuring in this theme issue on effective university‐industry partnerships. It addresses the aspects which contribute to effective partnerships and also challenges the issues around such partnerships.

The paper discusses the range of best practices for building effective university‐industry partnerships.

There are lessons for industry, universities and policy makers.

The paper provides multiple perspectives on university‐industry partnerships from various geographies.

University-industry collaboration (UIC) is a symbiosis relationship, brought about through knowledge and resource sharing, with the attendant benefits of innovation and technological advancement. The purpose of this paper is to investigate the state of UIC in quantity surveying profession in Nigeria with a view to ascertaining the situation and chatting the way forward.

Using quantitative survey research approach, primary data were collected through the administration of structured questionnaires on quantity surveying academia and practitioners. A total of 126 respondents were sampled: 52 university lecturers and 74 quantity surveying firms. Of these, 32 university lecturers (61.54%) and 34 quantity surveying firms (45.95%) provided valid responses. In all, this amounts to 52.38% response rate. The quantitative data obtained were analysed using mean score, frequency distribution, percentage and Mann Whitney test.

The findings show that collaboration is very strong in the areas of student industrial placement and research cooperation between students and academic researchers. However, collaboration in the areas of funding and staff exchange was found to be lagging behind.

The findings indicate strong collaboration areas (student industrial placement and research cooperation) to be sustained as well as weak areas (funding and staff exchange) to be critically looked into.

The paper represents the first research to empirically assess the state of UIC in quantity surveying profession in Nigeria. In addition, it shows the areas where efforts should be concentrated in maximizing the benefit of UIC.

The purpose of this paper is to propose a framework to improve the effectiveness of university–industry collaboration (UIC). This work enhances the existing body of literature and knowledge regarding collaboration and offers concrete steps to be taken for effective collaboration between universities and industries.

A literature review to study the best practices, impediments to collaboration and the various models proposed in the past for successful UIC was conducted. A workshop and focus-group meetings of practitioners and academic researchers was designed and organised to explore the current state of the university–industry engagement within the Australian Capital Territory (ACT) region and gather inputs regarding possible approaches to improve collaboration. The findings from the literature review and the results from this qualitative research regarding the approaches to improve the effectiveness of the collaboration were analysed.

The study discovers that various measures have been proposed in the form of best practices or models to improve the effectiveness of UIC. However, these measures often address a specific concern such as technology transfer, intellectual property (IP), etc. There is a scope for a comprehensive holistic framework to address many aspects of UIC in order to improve effectiveness and achieve success. A framework for improving the effectiveness of collaboration considering a comprehensive list of factors operating in a broad context within the collaboration system was proposed.

The framework builds on previous literature dealing with measures for successful UIC. However, it is the first of its kind, in the researcher's knowledge, in terms of comprehensiveness of the factors contributing to establishing and sustaining successful collaboration. The value of the individual experience of the participants in this qualitative research, which is on average more than 10 years in the software engineering field, validates the importance and quality of the data collected. The addition of these results to the framework increases its validity.The framework can be utilised by universities and industry practitioners to foster successful and effective collaboration. The results have significant relevance, particularly within the Australian context as the government has intensified the adoption of measures to encourage and improve collaboration between universities and the industry.

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.

The purpose of this paper is to identify important university-industry linkage (UIL) activities that can stimulate the likelihood of employability among students.

A total of 404 respondents located in Tanzania, comprising students, faculty members and employees from 20 companies operating within the oil and gas industry and mining constitute the empirical basis for the study. Descriptive analysis, the Mann-Whitney U-test and a Kruskal-Wallis test were applied to help analyse the data.

The results reveal that UIL activities were strongly perceived to raise the employability of students, in particular student internships in companies followed by joint projects and the involvement of companies in modernizing university curricula. Adoption and diffusion internship strategies are suggested for foreign companies and for local firm, respectively, as vehicles for increasing employability.

Perceived effects on the likelihood of employability are measured, and not actual effects.

The findings have implications for foreign companies exploring resources in the host country, local firms trying to improve competitiveness, universities trying to improve its role in society, students preparing for work-life and policy makers defining premises for resource-extractive foreign companies.

Very few empirical studies of UILs have previously been carried out in a developing country context, and in particular in dealing with student employability. The fact that many developing nations have attractive rich natural resources implies that international companies have a motive to invest in the UILs, and possess valuable competencies that can improve the overall quality of the universities and the attractiveness of graduating students.

The purpose of this paper is to analyse the operation pattern of the virtual university‐industry‐government (GUI) platform from the perspective of knowledge.

Following a theoretical framework, the case of the China Zhejiang Online Technology Market (ZJOTM) is analyzed, which has been viewed as a model of the national virtual GUI platform. The operation pattern and effect of ZJOTM are discussed. The material and data are collected mainly from ZJOTM web site.

According to the types of knowledge interaction between university and industry, this paper recognizes the context needed for knowledge interaction between industry and university as “virtual ba”, “physical ba” and “practice ba”. The virtual GUI platform just provides a virtual ba for knowledge interaction between industry and university. However, only “virtual ba” is not sufficient, “physical ba” and “practice ba” are also needed. Therefore, the operation of virtual GUI should utilize the complementary action of physical ba and practice ba. Moreover, it is better to deploy the ba flexibly according to the knowledge and sector characteristic.

The paper specifies the innovation knowledge rich in industry and university and the knowledge interaction context needed, that provides a favourable framework to study the operation pattern of the virtual GUI platform. The findings also have important implications for government policy makers, university and industry practice for designing and implementing knowledge‐base innovation strategies.