Mapping the field: a bibliometric analysis of the literature on university–industry collaborations

Scientific mapping of the nexus between entrepreneurial orientation and environmental sustainability: bibliometric analysis

Entrepreneurial orientation (EO) and environmental sustainability (ES) has recently become the subject of extensive research. The objective of this paper is to comprehensively analyze of EO and ES by conducting a bibliometric network and systematic review analysis of over ten years of publications. A total of 390 articles were identified using the Scopus and Mendeley search engines. One hundred-eighteen articles published in 53 journals between 2012 and 2021 were identified for analysis. Association analysis was conducted by author, co-author, and keyword, as well as keyword analysis by title and abstract fields, abstract field, and title field words with the highest frequency and highest relevance score under the binary counting approach. Performance, entrepreneurial orientation, relationship, entrepreneurship, entrepreneur, and business keywords were the most dominant occurrences in the abstracts. Key topics included models for entrepreneurial orientation; environmental sustainability was potentially more comprehensive in understanding the review work. This comprehensive review holds substantial theoretical significance for advancing the agenda of ecological entrepreneurial orientation and environmental sustainability. The findings of the study will help academics and researchers to identify future research directions and subject areas.

Mechanisms of exercise intervention in type 2 diabetes: a bibliometric and visualization analysis based on CiteSpace

Objective

Type 2 diabetes (T2D) is a common chronic metabolic disease, and its prevalence is increasing globally. Exercise is crucial for T2D management, yet many aspects of its mechanisms remain unclear. This study employs CiteSpace to reveal research hotspots and frontier issues in exercise intervention for T2D.

Method

A literature review spanning from January 1, 2013 to December 31, 2022, was conducted using the Web of Science Core Collection (WoSCC), with keywords including "exercise," "type 2 diabetes," and "mechanisms." We analyzed network diagrams generated by CiteSpace, which depicted relationships among countries, authors, and keywords.

Results

This study includes 1,210 English papers from 555 journals, affiliated with 348 institutions across 80 countries/regions. Notably, the United States, China, and the United Kingdom account for nearly half of all publications. The University of Copenhagen leads in publication volume, followed by Harvard Medical School and the University of Colorado. Key authors include Kirwan, John P (Case Western Reserve University), Malin, Steven K (Rutgers University), and Pedersen, Bente Klarlund (University of Copenhagen). Based on co-occurrence analysis of keywords, it is evident that terms such as "disease," "glucagon-like peptide 1," and "cardiovascular risk factor" exhibit high intermediary centrality.

Conclusion

The analysis highlights ongoing investigations into molecular mechanisms, such as β-cell function enhancement, exerkines, and epigenetic mechanisms. Emerging areas include exercise response heterogeneity, circadian rhythm regulation, transcription factors, neurotrophic factors, and mitochondrial function. Future studies should prioritize understanding interactions between different exercise mechanisms and optimizing exercise prescriptions for T2D. Exercise prescriptions are crucial for effective interventions. Collaboration between countries and institutions is essential to understand the influences of different genetic backgrounds and environmental factors. Currently, a combination of aerobic and resistance training is considered the optimal form of exercise. However, considering time efficiency, high-intensity interval training (HIIT) has gained widespread attention and research due to its ability to achieve similar exercise effects in a shorter duration. Additionally, circadian rhythm regulation may affect the exercise outcomes of diabetic individuals at different times of the day, particularly concerning the specific types, doses, and intensities used for precision intervention in T2D.

Mapping the field: A bibliometric literature review on technology mining

Technology mining (or tech mining, TM) is an emerging research field in science, technology, and innovation studies. However, due to the rapid increase and widespread application of TM research, accurately capturing research topics and emerging developments in TM has become a challenge for scholars. Therefore, this bibliometric literature review combines quantitative methods and content analysis to explore the research foundation and development frontiers of TM and distinguish emerging research topics from relatively mature ones, aiming to deepen the understanding. More specifically, it utilizes co-citation analysis and bibliographic coupling techniques to analyze the TM publication dataset. The results indicate that TM research is mainly based on four foundational areas, and there are five current frontier clusters. Emerging topic detection further shows that technology topic analysis, technology opportunity analysis, and technology management and decision support are currently emerging TM research topics.

The impact of industry-university-research projects on biopharmaceutical companies' innovation performance: moderating roles of government subsidies for innovation

Innovation holds paramount importance for both nations and businesses. This article presents a panel regression model designed to assess the fixed effects of industry-university-research (IUR) cooperation projects on innovation performance. Furthermore, it examines the moderating impact of government innovation subsidies by utilizing data spanning from 2007 to 2021, encompassing 326 listed Chinese biopharmaceutical firms. Our findings reveal that industry-university-research-cooperation projects have the potential to significantly enhance innovation performance across three key metrics: input, output, and quality for firms. The presence of government innovation subsidies as a moderator is found to have a positive influence on IUR-cooperation projects and their innovative inputs. However, it can yield adverse effects on IUR-cooperation projects with respect to innovation outputs and quality. The insights presented in this paper introduce innovative recommendations for elevating corporate innovation quality and refining the policies governing IUR cooperation.

Examining the impact of university-industry collaborations on spin-off creation: Evidence from joint patents

The literature on entrepreneurship and technology transfer highlights several factors that impact the creation of university Spin-Offs. However, there is a limited body of research that specifically explores the impact of university-industry collaborations on the performance creation of these spinoffs. This study aims to fill this gap by examining the effects of university-industry collaborations on the creation of Spin-Offs from two perspectives: the number of university collaborations with different companies and the number of previous collaborations between the same university-industry dyad. The research employs joint patents as a source to measure the university-industry collaborations and statistical methods to empirically examine the impact of these collaborations on Spin-Off creation. The study is based on data from 108 universities between the years 2014 and 2017. The findings of this study reveal that both the number of collaborations and specially the presence of previous collaborations between the university and industry have a positive effect on the creation of Spin-Offs. These results suggest that universities and companies should consider these findings when formulating their strategies or policies for technology transfer and innovation management by encouraging university-industry collaborations.

The Global Trend of Microplastic Research in Freshwater Ecosystems

The study of microplastics and their impact on aquatic ecosystems has received increasing attention in recent years. Drawing from an analysis of 814 papers related to microplastics published between 2013 and 2022 in the Web of Science Core Repository, this paper explores trends, focal points, and national collaborations in freshwater microplastics research, providing valuable insights for future studies. The findings reveal three distinct stages of microplastics: nascent development (2013-2015), slow rise (2016-2018), and rapid development (2019-2022). Over time, the focus of research has shifted from "surface", "effect", "microplastic pollution", and "tributary" to "toxicity", "species", "organism", "threat", "risk", and "ingestion". While international cooperation has become more prevalent, the extent of collaboration remains limited, mostly concentrated among English-speaking countries or English and Spanish/Portuguese-speaking countries. Future research directions should encompass the bi-directional relationship between microplastics and watershed ecosystems, incorporating chemical and toxicological approaches. Long-term monitoring efforts are crucial to assessing the sustained impacts of microplastics.

A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities

The Sustainable Development Goals (SDGs) are a global appeal to protect the environment, combat climate change, eradicate poverty, and ensure access to a high quality of life and prosperity for all. The next decade is crucial for determining the planet's direction in ensuring that populations can adapt to climate change. This study aims to investigate the progress, challenges, opportunities, trends, and prospects of the SDGs through a bibliometric analysis from 2015 to 2022, providing insight into the evolution and maturity of scientific research in the field. The Web of Science core collection citation database was used for the bibliometric analysis, which was conducted using VOSviewer and RStudio. We analyzed 12,176 articles written in English to evaluate the present state of progress, as well as the challenges and opportunities surrounding the SDGs. This study utilized a variety of methods to identify research hotspots, including analysis of keywords, productive researchers, and journals. In addition, we conducted a comprehensive literature review by utilizing the Web of Science database. The results show that 31% of SDG-related research productivity originates from the USA, China, and the UK, with an average citation per article of 15.06. A total of 45,345 authors around the world have contributed to the field of SDGs, and collaboration among authors is also quite high. The core research topics include SDGs, climate change, Agenda 2030, the circular economy, poverty, global health, governance, food security, sub-Saharan Africa, the Millennium Development Goals, universal health coverage, indicators, gender, and inequality. The insights gained from this analysis will be valuable for young researchers, practitioners, policymakers, and public officials as they seek to identify patterns and high-quality articles related to SDGs. By advancing our understanding of the subject, this research has the potential to inform and guide future efforts to promote sustainable development. The findings indicate a concentration of research and development on SDGs in developed countries rather than in developing and underdeveloped countries.

Graphical abstract

Industry-research fronts – Private sector collaboration with research institutions in Latin America and the Caribbean

In which research fields is industry involved with research institutions in Latin America and the Caribbean (LAC)? To shed light on this question, we applied bibliographic coupling to 13,000+ research articles and 500,000+ references indexed in Scopus for 1996–2021 as a means of determining the research fronts in which LAC-based research institutions collaborated with knowledge-intensive companies. Fields with higher betweenness centrality were those multidisciplinary, followed by physical (e.g. computer science applications), life (e.g. genetics), health (e.g. public health, environmental and occupational health) and social sciences and humanities (e.g. strategy and management). Furthermore, the period-by-period analysis unveiled a focused venturing into the physical sciences from 1996 to 2002. However, from the 2003–2021 periods, the new fields explored were mainly in the social sciences and humanities. Finally, we identified several unexplored research fronts, particularly in health (e.g. care planning) and the social sciences and humanities (e.g. demography).

Measuring the current state-of-the-art in lean healthcare literature from the lenses of bibliometric indicators

Purpose

Lean healthcare (LHC) applies lean philosophy in the healthcare sector to promote a culture of continuous improvement through the elimination of non-value-added activities. Studies on the subject can be classified as conceptual (theoretical) or analytical (applied). Therefore, this research compares bibliometric indicators between conceptual and analytical articles on LHC.

Design/methodology/approach

For data collection, the PRISMA Protocol was employed, and 488 articles published from 2009 to 2021, indexed in the Scopus and WoS databases, were retrieved.

Findings

This study reveals how conceptual and analytical LHC studies are organized in terms of the most relevant journals, articles, institutions, countries, the total number of citations, collaboration networks (co-authorship, international collaboration network and institutional collaboration network) and main co-words.

Originality/value

Only four papers conducting bibliometric analysis on LHC studies were identified in the Scopus and Web of Science databases. In addition, none of these papers compared conceptual and analytical bibliometric indicators to reveal the evolution, organization and trends of each category. Therefore, this work is not only the first to make this comparison but also the first to analyze the collaboration between authors, institutions and countries in relation to studies on LHC. The analyses performed in this work allow one new possible understanding, by researchers and health professionals, of the literature behavior in this field of study.

Obtaining interactions among science, technology, and research policy for developing an innovation strategy: A case study of supercapacitors

Comprehensive observations of science, technology, and research policy transactions are important for developing an innovation strategy. We propose a new method that combines the academic landscape and matrix analysis to understand the relationships among activities of three aspects of the technological landscape: science, technology, and research policy. First, we divided academic research into 28 knowledge domains by clustering a citation network of scientific papers. Next, we developed a new matrix classifying them into three groups: “mature technology,” “intermediate technology,” and “emerging technology.” The results showed that research domains in “emerging technology” showed a high rate of patent increase, indicating that they were commercializing rapidly. Finally, we identified the group that each country focused on, and this result reflected the countries' research policies. China and Singapore showed high rates, whereas Japan, France, and Germany had low values. This result reflects countries’ research policies and implies that specialty research areas differed by country. As above, our research result implies that academia, industry, and government have paid attention to knowledge domains in “emerging technology” and these are important for creating innovation. A supercapacitor, also known as an electric double layer capacitor or ultracapacitor, was selected as an example in our method. This research could help academic researchers, industrial companies, and policymakers in developing innovation strategies.

An Orchestration Perspective on Open Innovation between Industry–University: Investigating Its Impact on Collaboration Performance

Since open innovation between industry–university is a highly complex phenomenon, its orchestration may be of great support for better collaboration between these organizations. However, there is a lack of evidence on how an orchestration framework impacts the collaboration performance between these organizations in such a setting. Based on a research model that investigates the influence of the main orchestration dimensions on the performance of collaboration, this study offers one of the first perspectives of an orchestration process between the industry and university actors in open innovation. The developed research model was assessed using a deep learning dual-stage PLS-SEM and artificial neural network (ANN) analysis. In the first stage, the hypotheses of the research model were tested based on a disjoint two-stage approach of PLS-SEM, and the results reveal the orchestration dimensions that have a significant impact on collaboration performance. In the second stage, a deep learning network approach was successfully employed to capture the complex relationships among the significant orchestration dimensions identified through the PLS-SEM analysis. An importance–performance map analysis provided useful insights into the relative importance of the components of each orchestration dimension based on their effects on the collaboration performance.

Project management practices in major university-industry R&D collaboration programs - a case study

University-industry collaboration (UIC) projects are complex undertakings, that can involve multiple parties or stakeholders. Effective management of UICs can mean the difference between success and failure, in terms of technology transfer and research commercialization. This research paper focuses on the micro-level analysis of UICs and in particular the project management practices that can help major UICs deliver benefits and broader societal impact. PM has been evolving toward more hybrid approaches involving both traditional and agile practices. A conceptualization of a hybrid approach is presented based on a literature review. This conceptualization is then used as a starting point for exploratory empirical research. Participant observation, document analysis, and thirty semi-structured interviews were conducted in a large UIC case study to help identify PM practices and check their relevance. Data analysis led to a framework comprising 29 transversal or must-have practices distributed throughout the project lifecycle and 30 contingent or optional practices, divided into traditional, agile and common. This research extends the existing knowledge on UICs by giving a micro-level perspective on managing UIC projects and providing evidence of the adoption of hybrid approaches to assure the overall governance of significant inter-organizational endeavors. The framework provides a roadmap for future major UIC projects.

Physical Exercise in the Context of Air Pollution: An Emerging Research Topic

Physical exercise (PE) brings physiological benefits to human health; paradoxically, exposure to air pollution (AP) is harmful. Hence, the combined effects of AP and PE are interesting issues worth exploring. The objective of this study is to review literature involved in AP-PE fields to perform a knowledge-map analysis and explore the collaborations, current hotspots, physiological applications, and future perspectives. Herein, cluster, co-citation, and co-occurrence analysis were applied using CiteSpace and VOSviewer software. The results demonstrated that AP-PE domains have been springing up and in rapid growth since the 21st century. Subsequently, active countries and institutions were identified, and the productive institutions were mainly located in USA, China, UK, Spain, and Canada. Developed countries seemed to be the major promoters. Additionally, subject analysis found that environmental science, public health, and sports medicine were the core subjects, and multidimensional communications were forming. Thereafter, a holistic presentation of reference co-citation clusters was conducted to discover the research topics and trace the development focuses. Youth, elite athletes, and rural population were regarded as the noteworthy subjects. Commuter exposure and moderate aerobic exercise represented the common research context and exercise strategy, respectively. Simultaneously, the research hotspots and application fields were elaborated by keyword co-occurrence distribution. It was noted that physiological adaptations including respiratory, cardiovascular, metabolic, and mental health were the major themes; oxidative stress and inflammatory response were the mostly referred mechanisms. Finally, several challenges were proposed, which are beneficial to promote the development of the research field. Molecular mechanisms and specific pathways are still unknown and the equilibrium points and dose-effect relationships remain to be further explored. We are highly confident that this study provides a unique perspective to systematically and comprehensively review the pieces of AP-PE research and its related physiological mechanisms for future investigations.

Barriers to university–industry collaboration in an emerging market: Firm-level evidence from Turkey

University-industry collaborations (UICs) are one of the main sources of external knowledge and technologies for industrial firms, particularly in the context of emerging markets (EMs) and firm development. It is thus highly relevant to identify potential barriers internal to the firm as well as in the regional innovation system that might prevent firms from using UICs for innovation, in particular in an EM context. In order to address this issue, we conduct a firm-level study of the R&D-related segment of the manufacturing industry in Istanbul. Logistic regression analysis is used to test the effect of potential barriers on using UICs for innovative activities. With this approach, we are able to identify barriers that prevent innovation-related UICs and thus form a bottleneck to collaborations in the first place. Our findings show that lack of information about UIC opportunities as well as lack of financial support for UICs are the most relevant barriers that inhibit firms’ usage of UICs for innovation. This firm-level evidence points out the importance of university technology transfer offices in regional innovation systems and for fruitful UICs. We further find that administrative barriers have no significant effect, while barriers related to trust and skill matching with scientific partners even have a reverse effect to what we would have expected from the literature. This finding might point towards an effect of perceived versus deterring barriers that has been observed in innovation studies before and might be relevant for studying UICs as well.

University–Industry Collaboration: A Sustainable Technology Transfer Model

Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity.

Global Systematic Mapping of Road Dust Research from 1906 to 2020: Research Gaps and Future Direction

Roadside dust resulting from industrialization of society has an adverse effect on the environment and human health. However, despite the global research progress in this field, to date, no bibliometric report on the subject has been documented. Hence, bibliometric mapping is important to assess the quality and quantity of the global research activities on road dust. Data were retrieved from the Web of Science Core Collection and Scopus, while RStudio software was used for data analysis. A total of 1186 publications were retrieved from these databases, and progressive growth in the subject over the last 10 years was observed, considering the positive correlation (y = 0.0024 × 3 − 0.1454 × 2 + 2.6061 × −8.5371; R2 = 0.961) obtained for these indices. China had the highest publications, and environmental science-related journals dominated publications on road dust. The findings suggest that other regions of the world, such as the Middle East and Africa, need to channel their research efforts toward this field, considering the shortage of publications on the subject from these regions. Therefore, this study shows that assessing research activity on road dust is important for planning impactful research directions and setting protective and adaptive policies related to the field.

Dynamic perspectives on technology transfer: introduction to the special section

Theoretical frameworks acknowledge the dynamic and evolving nature of technology transfer. However, there is a scarcity of empirical work in the field incorporating a dynamic and longitudinal perspective. Several literature reviews call for technology transfer research agendas to include longitudinal studies. In response to such calls, this special section comprises selected contributions to the 2018 Technology Transfer Society (T2S) Conference which address this gap from different angles. The three qualitative and three quantitative works chosen contain research questions and methodologies related to dynamic aspects of technology transfer. We argue that historical and processual studies offer additional new directions.

How firms use coordination activities in university–industry collaboration: adjusting to or steering a research center?

University–industry collaboration (UIC) is an important source of knowledge and innovation for firms but is often challenging due to the partners’ different goals. Thus, formal research centers have become a key policy instrument to foster stronger UIC whereby strong mutual relationships are created. This study investigates the establishment of a university–industry research center to gain insights into the coordination activities the focal firms used to achieve their goals with UIC. We find that the firms with goals related to specific innovations and technology development took a more active role by using structured coordination activities in the preformation phase of the research center, whereas the firms with goals related to general knowledge development mainly coordinated through unstructured activities when the center began operations. We map the specific coordination activities used in UIC and theorize on how the partners’ different organizational goals influenced their use of these activities. Our findings have important implications for how activities in UIC, particularly in research centers, can be designed to strengthen the collaboration between universities and their firm partners to enhance knowledge development and innovation.

Ergonomics 4.0: A bibliometric review of Human Factors research in Industrial Revolution 4.0 (IR 4.0)

BACKGROUND

The scientometric study is a visualization method used to collect big data from databases, to explore the relationships between citing and co-cited documents and then visualize the results. Unlike the new term Ergonomics 4.0, bibliometric analysis has been studied in various related fields of Ergonomics.

OBJECTIVE

The aim of this study was to create a bibliometric analysis in related field of Ergonomics and Fourth Industrial Revolution. This analysis can shed light on the new developed research field in both sides of the present study, occupational ergonomics and industry 4.0.

METHODS

After selecting related keywords, Advance search was done in Scopus and Web of Science. Bibliometric results were presented by these databases' analyzer and by exported data to VOS viewer software. No time or language restriction was applied.

RESULTS

Retrieved Articles were 104 and 285 for Web of Science and Scopus respectively. The frequent co-occurrences for keywords were seen between "industry 4.0" and "Human Factors". The USA and Germany were also the most productive countries in this field. Well-known Ergonomics journals had low participation in the Evolution of Ergonomics and Fourth Industrial Revolution topics.

CONCLUSION

Due to more participation of industry 4.0-related researchers in this topic, it is recommended that ergonomists from around the world, and especially Eastern countries, attempt to conduct research in this field. Furthermore, devoting some forth-coming special issues in this field is recommended to top ergonomics journals.

Multiple-case Research on University: Enterprise Innovation Chain ‘Fractures Repair’ in China

University-enterprise (U-E) innovation chain fractures hinder the commercialisation of knowledge. However, few contributions in the academic field have uncovered how certain mechanisms repair U-E innovation fractures and commercialise their research results. In order to bridge the research gap in the repair mechanism of U-E innovation chain fractures, a multiple-case study of U-E innovation fractures was conducted by proposing a ‘behaviour-process-outcomes’ repair model. The results are as follows: motivation coordination mechanism is the driving force that converges the goals of different organisations; organisation coordination mechanism is the platform that provides the basic support for the weak links and makes up for the defects of a single organisation; capability development and coordination is the element of U-E cooperation through a combination of basic and applied research capability, technological innovation capability and product commercialisation capability; policy coordination mechanism is the vehicle of U-E innovation chain that strengthens U-E cooperation with various preferential policies. The conclusion shows the ‘coordinated innovation’ repair model for U-E innovation chain fractures provides important insights for practitioners and policymakers involved in developing an innovation chain in U-E cooperation.

A Proximity Approach to Understanding University-Industry Collaborations for Innovation in Non-Local Context: Exploring the Catch-Up Role of Regional Absorptive Capacity

The article aims to explore which types of proximity approach can foster university–industry (U-I) collaborations for innovation and discuss the role of different dimension regional absorptive capacity in cooperation to promote inter-regional partnerships from “unbalance” to “coordination”. Therefore, we intercept 484 pairs of cooperative entities and analyze proximity effects and heterogeneity cross-regional U-I collaborations by hierarchical regression. The results show: (1) In non-local contexts, geographic distance is not a hamper for improving innovation performance. The economic development level has no significantly different effects on such a role. (2) Technological proximity plays a negative role in increasing innovative performance, and the eastern region has the most noticeable results. (3) The closer in social distance can get more innovation performance in eastern and western, but the central area negatively affects. (4) The U-I collaborations for innovation performance-enhancing advantages are not equal for all regions but are moderating by specific regional absorptive capacity dimensions. The areas with a higher level of internal human capital can get more catch-up effects. The lagging regions should increase talents to promote cross-regional cooperation for catching up. In contrast, the prosperous areas should take advantage of the talent-gathering effects to promote knowledge spillover.

The “first match” between high-tech entrepreneurial ventures and universities: the role of founders’ social ties

This paper studies the collaborations between entrepreneurial ventures and universities by investigating the “first match”, namely, the probability that a given entrepreneurial venture, which has never established university collaborations before, forms a collaboration with a given university (out of all the possible collaborations it might have formed). Expanding on the literature about university–industry collaborations, we argue that the formation of the first match is socially bounded. Specifically, we contend that individual social ties, which the founders of an entrepreneurial venture have formed with the personnel of a given university as they worked there, increase the probability of a first match because these ties reduce the costs and increase the benefits of forming a collaboration (H1). We also hypothesize that geographical (H2) and cognitive proximity (H3) between entrepreneurial ventures and universities influence these costs and benefits, thus moderating the relation sub H1. Econometric estimations on a large set of dyads, which represent realized and potential first matches between Italian high-tech entrepreneurial ventures and universities, support our hypotheses.

Cooperation University–Industry: A Systematic Literature Review

Knowledge and its transference are increasingly viewed as key factors of companies’ competitiveness. In this sense, our research aims to analyze how the knowledge transfer takes place between the higher education sector and the companies. Although there has been an increase in research related to University–Industry (U–I) cooperation, the existing literature is still relatively fragmented and lacks a comprehensive view. In this way, this study aims to fill this gap by reducing the existing gap in the literature. Thus, this study aims at identifying the different trends and themes prevailing in the literature on U–I cooperation. Through a systematic literature review, using a bibliometric analysis, we identify four themes: (1) Triple Helix, (2) Knowledge Transfer, (3) Determinants of Cooperation and (4) Strategic Alliances. This research makes several important contributions: this review helps highlight not only what the previous literature has analyzed about cooperation between U–I but also prepares the ground for the second wave of research on this topic, synthesizing the main gaps in knowledge and the emerging trends in studies. Another contribution is the challenge of several prevailing theoretical/conceptual assumptions in cooperation between U–I and offering new theoretical/conceptual perspectives that may shape future research on this topic. Last but not the least, this paper defines a roadmap for a future research agenda by proposing multiple directions that can open new avenues for future research and the construction of relevant and appropriate theories for measuring the contributions of cooperation between U–I.

Mapping Value Co-creation Literature in the Technology and Innovation Management Field: A Bibliographic Coupling Analysis

Value co-creation has become a very important topic in several disciplines. It is observed that value co-creation has been analyzed mainly from a perspective of marketing or services. The interest of studying value co-creation in relation to innovation is growing but there are no previous literature reviews that focus on the literature that studies value co-creation from a technology and innovation management perspective. The present research aims to close this gap. This research has two aims. First, we make a descriptive analysis of the evolution of documents published from 2004 to 2020. We analyze the main journals and identify the most prolific authors. In addition, we observe collaborative behavior at three different levels – country, institution, and author. Second, we determine the content structure of this literature through a bibliographic coupling analysis, and characterize the resulting groups. As a result of this analysis, we describe eleven thematic groups and characterize them through different metrics. Based on these metrics and the previous analysis, we classify and explain the studies about co-creation in the technology and innovation management field. We obtained three research streams: open innovation, consumer-centric analysis, and service ecosystem and service innovation, and two new trends: servitization and the sharing economy.

Identification of Educational Models That Encourage Business Participation in Higher Education Institutions

In a scenario in which the labour market is increasingly competitive and there is a need to provide students with practical training, Higher Education Institutions (HEIs) must promote the labour integration of students, by building their competences and shaping their skills in accordance with the strategic plans of companies. In the past, cooperation between companies and universities was based on informal agreements. Nowadays, companies are actively involved in the development of educational models. This is not only part of their corporate social responsibility, but also represents a business opportunity. In this context, the research performed to identify collaboration models between companies and HEIs that simplify the integration of training processes in companies is scarce. Therefore, the aim of this research is to identify existing joint educational models between companies and HEIs and to propose a methodology that allows them to select the models most in line with their business. The methodology applies a multi-criteria selection procedure and, in a simple way, enables the businesses to identify how to increase their involvement. Model identification is based on a proposal of common features that uses indicators for involvement quantification. This study selected ten HEI-company cooperation models and subsequently applied the Analytical Hierarchy Process (AHP) method to analyse the level of involvement that these models require of companies. Five models of different involvement levels were selected and detailed by their features.

Mental Health and Well-Being of University Students: A Bibliometric Mapping of the Literature

The purpose of this study is to map the literature on mental health and well-being of university students using metadata extracted from 5,561 journal articles indexed in the Web of Science database for the period 1975-2020. More specifically, this study uses bibliometric procedures to describe and visually represent the available literature on mental health and well-being in university students in terms of the growth trajectory, productivity, social structure, intellectual structure, and conceptual structure of the field over 45 years. Key findings of the study are that research on mental health and well-being in university students: (a) has experienced a steady growth over the last decades, especially since 2010; (b) is disseminated in a wide range of journals, mainly in the fields of psychology, psychiatry, and education research; (c) is published by scholars with diverse geographical background, although more than half of the publications are produced in the United States; (d) lies on a fragmented research community composed by multiple research groups with little interactions between them; (e) is relatively interdisciplinary and emerges from the convergence of research conducted in the behavioral and biomedical sciences; (f) tends to emphasize pathogenic approaches to mental health (i.e., mental illness); and (g) has mainly addressed seven research topics over the last 45 years: positive mental health, mental disorders, substance abuse, counseling, stigma, stress, and mental health measurement. The findings are discussed, and the implications for the future development of the field are highlighted.

Mapping an innovation ecosystem using network clustering and community identification: a multi-layered framework

The existing literature on innovation ecosystem overlooks the differences between knowledge ecosystems and business ecosystems, and mostly focuses on a single-layer analysis of the ecosystem. Also, ecosystem mapping studies involve either whole-network analysis at the macro-level or ego-network analysis at the micro-level, while few studies have investigated network community analysis at the meso-level. Therefore, this paper proposes a framework of Multi-layered Innovation Ecosystem Mapping (MIEM) to explore both knowledge and business ecosystems, thereby extending the analysis to the network communities. Based on multi-source heterogeneous data and machine learning, MIEM includes four steps in conducting the analysis: define the research scope and collect data; construct whole networks; identify communities; and recognize strategic roles. In particular, Newman topological clustering is adopted to identify network communities, and a strategic-role matrix is used to analyze the roles in a community. Based on this framework, a case study of numerical-control machine tool ecosystem mapping is conducted using patents and value-added tax invoice data.

Enhancing service delivery in humanitarian relief chains: the role of relational capital

Purpose

The study examined the influence of relational capital on inter-cluster coordination and service delivery of humanitarian organisations; the mediating and moderating role of inter-cluster coordination on the relationship between relational capital and service delivery.

Design/methodology/approach

Data was collected from 60 humanitarian organisations. Potential respondents were five officers from each humanitarian organisation involved in delivering humanitarian assistance. Respondents from the different organisations were selected using purposive sampling. The SPSS software, SMART PLS and CB-SEM software were used to obtain results on the influence of relational capital on inter-cluster coordination and service delivery in humanitarian organisations; and the mediating and moderating role of inter-cluster coordination on the relationship between relational capital and service delivery.

Findings

Findings indicated that relational capital influences inter-cluster coordination and service delivery in humanitarian relief chains; inter-cluster coordination partially mediates the relationship between relational capital and service delivery in humanitarian relief chains; and no interactive effect was found when the moderation effect of inter-cluster coordination on the relationship between relational capital and service delivery in humanitarian organisations was examined.

Research limitations/implications

The study was mainly focused on humanitarian organisations excluding beneficiaries and the logistics suppliers. The research has implications to decision-makers in government and humanitarian organisations concerned with providing relief aid to beneficiaries.

Originality/value

The influence of relational capital on inter-cluster coordination and service delivery in humanitarian relief chains; the mediating role and moderating role of inter-cluster coordination on the relationship between relational capital and service in humanitarian relief chains are aspects that have not been given significant attention empirically.

Bibliometric analysis of the papers on urban education

Purpose

The purpose of this paper is to identify the papers published on urban education and analyze the characteristics of these papers to contribute to the urban education research over the recent years.

Design/methodology/approach

Researchers generated a comprehensive list of the articles published between 2010 and 2017 in the field of “urban education” by searching the Social Sciences Citation Index database, using the keywords of “urban” and “education.” As an additional criterion, all the articles published between 2010 and 2017 in the journals of Urban Education and Education and Urban Society were included.

Findings

There are a total of 2,123 publications that were checked and retrieved in the field of “urban education” between 2010 and 2017. Although the number of publications differs year by year, the sum of the citations received the increase from year to year on a regular basis. There are 35 articles that were cited more than h-index, as h-classics in this field for this period and top 10 of these h-classics are reported in this study. Urban Education and Education and Urban Society were revealed as the most prominent journals in the field of urban education. Also, the results show that the most cited articles, the most prolific authors and organizations, and top journals in this field are from the USA.

Research limitations/implications

The scope of this study is not extensive enough, and the data obtained are not comprehensive enough. The survey was limited to the keyword of “urban education” in the fields of title, abstract, author keywords and keywords plus.

Practical implications

This bibliometric analysis contributes to the literature of urban education through a historical perspective. Results show that the “urban education” field attracts more attention of the researchers and the impacts of these publications are increasing from year to year. Also, there is a prevalence of the USA in the field of urban education.

Originality/value

The information presented in this paper provides insight into the development of urban education research over the recent years. The data obtained in this study can be used as a reference for future researchers in urban education.

Multiple-party funding: tensions and related consequences for academic research in Europe

European universities are experiencing increasing financial pressures. Given that governmental budgets are cut, they have to additionally rely on further sources of funding. Multi-party funding, however, is not easily managed and poses serious challenges on academic research. This study explores the question “What tensions result from multiple-party funding, what are possible consequences of the different funding strategies and—transferring the findings to the university context—how can universities establish and manage multiple-party funded research?” We conducted a qualitative single case study in a non-university research center (NRC). NRC has gone through the process of increasing financial pressure and now relies on multiple sources of financing that have to be managed concurrently. Our results discuss opportunities and threats and reveal core tensions related to multiple-party funding activities. Adopting a paradox lens allows us to transfer the insights from this case to the university context. We systematically discuss consequences for universities and academic research and suggest approaches of actively managing tensions via strategies of accepting, differentiating and integrating. We thereby contribute to the discussion how to establish and manage third-party funded research for European universities.