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University–industry (UI) collaboration is essential for knowledge and technology exchange between higher education institutions and industries, enabling enterprises to accelerate innovation. However, few studies have investigated the collaborative innovation mechanism through which UI collaboration can enhance the accumulation of firms' intellectual capital (IC) and how this, in turn, affects their innovation-driven development.

Drawing from the knowledge management and collaborative innovation theory, this research proposes a theoretical framework of the inter-organization relationship between enterprises and universities to investigate the influence mechanism of UI collaboration, including academic engagement and commercialization, on corporate performance as well as the mediating role of IC by employing survey that covers 177 UI collaborations.

Empirical results show that human capital and relational capital fully mediate the relationship between academic engagement UI collaboration and corporate economic performance, while human capital partially mediates the relationship between commercialization UI collaboration and corporate economic performance. Additionally, structural capital and relational capital partially mediate the relationship between academic engagement and corporate innovation performance, while structural capital fully mediates the relationship between commercialization and corporate innovation performance.

This study empirically investigates how academic engagement and commercialization impact corporate performance (i.e. innovation dimension or economic dimension). It uncovers this relationship's underlying mechanism by documenting the IC's mediating impact.

The purpose of the study was to examine the factors that are important for strengthening university–industry collaboration (UIC). This study also investigates the outcome of UIC in the light of creativity, skill, knowledge, and research work.

A survey method has been used to collect data for the study. This study applied a purposive judgmental sampling technique where particular types of respondents like university faculty members and the top officials of the organizations were selected who are knowledgeable and can provide the desired information. The current study used the structural equation modeling method to analyze the data. In the first stage, this research assessed the demographic factors of the respondent. Then this study conducts confirmatory factors analysis and convergent and discriminant validity and reliability test. Finally, the hypotheses are tested by using nonparametric.

This study finds that knowledge transfer mechanism, governmental factors, organizational design factors, technology transfer and the collaborative network has a significant impact on strengthening UIC, which ultimately facilitates creativity, knowledge creation, skills development and supply of graduate according to the requirement of the industry, good research work.

The current study identified some important determinant that has a substantial influence on strengthening UIC. According to the study organizational design, government, technology, collaborative network and mechanism for knowledge transfer play very crucial roles in strengthening collaboration that ultimately increases the creativity, skills, knowledge and research capability of graduates.

Background and objective: The lack of human and intellectual resources and capital has affected the survival of different industries and organizations in this globally competitive world. Universities have failed to provide necessary human resources to these organizations. The coordination between industries and universities is not optimal. Such challenges are being faced in the United Arab Emirates (UAE); therefore, there is a need to investigate the reasons behind these challenges to develop an ideal university-industry relationship in UAE. The present study aims to evaluate the missing links in the relationships between universities and industries of UAE.

Methods: A quantitative research design has been used to recruit 100 department heads and senior professors from 20 public and private universities in the UAE. Descriptive statistics, regression analysis and factor analysis have been used to analyze the data collected through SPSS v.20.

Results: The results have shown a significant and positive impact of intellectual property (IP) policies (p=0.045) and scientific knowledge (p=0.023) on knowledge transfer; IP policies (p=0.067), shared governance (p=0.018) and scientific knowledge (p=0.017) on trust; IP policies (p=0.069), shared governance (p=0.034) and scientific knowledge (p=0.018) on innovation performance.

Conclusion: The findings have suggested that the role of interorganizational governance mechanisms is important in university industry collaborations to increase trust, innovation, and shared governance.

The purpose of this study is to investigate university–industry partnerships in Armenia from the viewpoint of universities. By doing so, it contributes to the existing literature on university–industry collaboration by identifying and addressing the specific challenges that impede the establishment of successful university–industry partnerships in Armenia and other post-Soviet countries.

A comprehensive literature review was conducted to examine the barriers, benefits and institutional, functional framework of collaboration. Additionally, this study used a survey methodology to gather data from faculty managing staff members at six Armenian higher educational institutions on various aspects of university–industry collaboration as well as the perceptions and experiences of the participants.

The results show that the effectiveness and applicability of the university–industry collaboration channels and institutional structures in six higher educational institutions are limited. Specifically, the channels that rely on academic entrepreneurship and innovation were found to be currently unviable. Moreover, the existence of spin-offs and start-ups is notably absent. Furthermore, limited access to funding and inadequate entrepreneurial support systems pose significant barriers to developing university–industry partnerships in Armenian reality.

This study represents a pioneering effort within the context of Armenian higher educational institutions, as it is the first time a survey has been organized to specifically investigate the topic of university–industry partnerships. Before this study, there was a lack of empirical research and data collection on this topic in Armenian higher education settings. Therefore, this research holds significant originality and contributes to filling the existing gap in knowledge regarding university–industry partnerships in Armenia. The research is shedding light on a previously unexplored area and providing a valuable contribution to the field of university–industry collaboration research in Armenia and other post-Soviet countries.

This work aims to analyze the university–industry interaction in innovation ecosystems. The problem under study addresses how agents can operate in university–industry interactions to enhance the connections, specifically in the aspect of operational mechanisms of an innovation ecosystem.

The study is qualitative, applied through grounded theory approach, cross-sectional and multiple sources of evidence – semi-structured interviews were conducted. An explanatory conceptual model was subsequently compared with the literature and validated with specialists.

The results showed that the university–industry interaction is influenced by several factors, such as networking, legal support, facilitating agents, management practices. Despite this, some other factors were identified for the improvement of U–I relationships, such as: strengthening of triple helix, greater legal certainty and encouragement of open innovation.

The small sample size and the heterogeneity among the universities interviewed did not allow full saturation to occur. In spite of that, a significant level of saturation with respect to the challenges and barriers was observed.

This work has a direct dialogue with researchers, managers and actors involved in university–industry interaction with regard to increasing the capacity for creation and dissemination of knowledge among organizations, educational institutions, government and companies.

By adopting a grounded theory approach, a detailed research agenda addresses research needs in two main areas: activities that precede the interaction between universities and companies, and the organization and management of the consequences of collaborative relationships.

This study aims to theoretically and experimentally investigate the literature on university–industry linkages (UILs) through a systematic literature review and bibliometric analysis. Seven research questions were addressed in the present study: (1) descriptive characteristics of the literature on UIL, (2) trends of annual scientific publications on UIL, (3) the most relevant and high-impact sources on UIL, (4) the most globally cited articles on UIL, (5) the most relevant countries on UIL, (6) outcomes of Bradford's Law of Scattering and Lotka's Law of scientific productivity and (7) the trending research areas and avenues for future studies on UIL.

Systematic literature review and bibliometric analysis mapping techniques were applied to the present study to analyze 907 articles extracted from the Scopus database. Analysis tools used were Biblioshiny software and VOSviewer software.

Findings show that the UIL is a progressively growing discipline with a record of a 5.71% average annual growth rate in scientific production each year from 1970 to 2023. The United States, China and the United Kingdom were the most productive countries in the field of UIL in terms of total scientific production and citations. Academic entrepreneurship, industrial ecology, social network analysis, active learning, engineering education, health economics, public health, university–industry relationships, communication, causal layered analysis and competitiveness are the potential avenues for future researchers in the field of UIL based on the thematic map of keywords analysis.

This study contributes to the debate on UIL by offering a comprehensive literature review. The findings of the current study will benefit graduates, universities, industries and the community at large.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

This systematic literature review aims to identify the main areas of study related to co-creation and innovation in Higher Education Institutions (HEIs), as well as the main external and internal stakeholders with whom co-creation is made.

The empirical approach is based on 258 articles selected from the Web of Science (WoS), Clarivate Analytics and Scopus, Elsevier databases, with analysis of titles, abstracts and keywords following a research protocol. VOS viewer and CitNetExplorer software were used, with the twin aim of identifying publications with a higher number of citations and designing maps of reference word co-occurrence.

The analysis led to three clusters being identified: Cluster 1. Management and transfer of knowledge from HEIs to companies; Cluster 2. Co-creation and innovation in HEIs through cooperation between universities and companies; and Cluster 3. Universities’ third mission and their role in developing entrepreneurship education. The results of the literature clusters analysis led to proposing a conceptual model of analysis.

Despite only employing two databases and the content analysis criteria, the three found clusters are linked, recognising the interplay between co-creation and innovation in HEIs, knowledge transfer to enterprises and the influence on HEIs' third goal.

This systematic literature review highlights and gives a picture of the state-of-the-art in co-creation and innovation in HEIs, as well as presenting a model of co-creation and innovation in HEIs that can contribute to reinforcing the University-Industry-Community ties.

This study can lead to a better knowledge of the issue of co-creation and innovation at HEIs, as well as a deeper analysis of the sorts of relationships between HEIs and their stakeholders, as well as its impact on surrounding areas and influence.

The research highlights the interaction between HEIs and their stakeholders on a basis of value co-creation and innovation, providing mutual benefits for all involved, as well as greater development and recognition of HEIs and their surrounding regions’ image andreputation. A future research agenda is also presented on the topic of co-creation and innovation in HEIs.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

This study aimed to develop an adapted collaborative governance model for aviation human resource development in Indonesia's approved training organisations (ATO), considering the expected changes in the industry due to advanced technologies. The model, based on Ansell and Gash's approach, emphasizes multi-stakeholder collaboration to ensure workforce development aligns with industry and regulatory standards and accommodates technological advancements.

Qualitative methods, such as in-depth interviews and focus group discussions, were employed to collect and analyse data.

The results indicated that collaborative governance is a valuable tool for cultivating competent human resources and facilitating industry improvement in the face of rapid technological change.

The proposed model contributes significantly to the field by promoting inclusive and effective human resource development through the Centre for Aviation Human Resource Development (CAHRD), thereby preparing the Indonesian aviation industry for the impact of advanced technologies. Furthermore, this study contributes to the enhancement of Ansell and Gash's collaborative governance theoretical framework by effectively addressing its empirical gaps concerning vocational education and training challenges within Indonesia's air transportation sector.