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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.

The ranking of universities and other research-intensive institutions in global ranking systems is based on numerous indicators, including number of articles with external collaboration, number of articles with international collaboration, number of articles with industry collaboration as well as co-patents with industry. The purpose of this paper is to examine university–industry research collaboration in Ghana, with the aim of exploring the relationship between the research output collaborations in the top four universities in Ghana and industry across different geographical scales.

This study’s data was obtained from the SciVal database, which drawn its data from the Scopus bibliographic and citation database. The bibliographic and citation data were extracted using a search of the publications affiliated to the University of Ghana, for the period 2011–2020.

Key findings demonstrate a constant rise in the number of research publications by the selected universities over time. Research collaboration intensity in the selected universities in terms of co-authored publications was higher as compared to single-authored publications. University–industry research co-authorships were, however, lower when compared to university–university research co-authorships. The university–industry research co-authorships occurred mostly with Europe, Asia-Pacific and North American-based institutions as opposed to African-based institutions. In Ghana, four industry-based institutions were engaged in intensive research with the selected universities.

This study demonstrates that, for each selected university, it is possible to measure the performance of individual universities in both intra-regional and international collaboration. Such results may be useful in informing policy as well as merit-based public funding of universities in Ghana.

The purpose of this paper is to investigate how certain characteristics of the university–industry–government collaboration facilitate knowledge creation and management, hence innovation focusing on particularities of the Brazilian scenario.

As a conceptual basis, there are correlations between theories of knowledge management and the Triple Helix, a model referenced to university–industry–government cooperation. The research was conducted through a multiple case study at two National Institutes of Science and Technology (INCTs in Portuguese).

The main results show the importance of participation in the INCT program, as it enables the creation of an organizational structure with the coordinator’s leadership, who directs the flow of knowledge among organizations and stimulates innovation.

The choice of the topic is justified by the lack of studies on the identification and analyses of the main aspects of this type of collaboration in an integrated way.

This study provides theoretical and empirical insights into how firms can enhance their performance strategically and financially by integrating learning and transformational capabilities into research and development (R&D) activities based on the dynamic capabilities approach. To achieve this, the authors propose that transformational capabilities in R&D mediate the relationship between learning capabilities in R&D and competitive advantage.

Using a purposive sampling technique and standardized questionnaires, data were collected from 118 R&D and senior managers. To analyze the data, multiple regression analysis, along with SPSS PROCESS macro (Model 4), was used.

The results support the theoretical assumption that there are direct and indirect positive and significant effects between learning capabilities in R&D and competitive advantage as mediated by transformational R&D capabilities.

This study explores R&D from a dynamic capabilities perspective and suggests that learning capabilities should come first to enhance businesses’ competitive advantage. Furthermore, transformational R&D capabilities can explain the relationship between learning capabilities in R&D and competitive advantage. The authors recommend that researchers should investigate the contributions of R&D to promote competitive advantage.

The attention to the university–business collaboration (UBC) for its role in the knowledge-based economy is growing in many countries. In this context, the purpose of this paper is to conduct two surveys to explore the causes of low collaboration between the private sector and academia in the Kingdom of Saudi Arabia.

The first survey covers nearly 50 companies to learn their perspectives. Using the findings of the first survey, a second survey was conducted of university researchers to understand the determinants of private and public funding of research and development projects. The survey provided two types of data, namely, categorical and continuous, which were subjected to reliability and normality tests. A linear regression analysis also was utilized to explore the role of different factors on the funded projects by the two sectors.

There is a perception among researchers that the private sector is woefully underestimating research capacity of Saudi universities. One interesting finding is that publishing in journals from the International Scientific Indexing (ISI) is a strong predictor for government funding, but not for private funding. From the private sector perspective, publishing in ISI-indexed journals is not sufficient evidence of research capability. Moreover, high teaching load is a major obstacle in acquiring private funding, but not so for public funding.

The paper provides two main recommendations to improve collaboration. First, universities should incentivize publishing in high-impact journals more than in ISI-indexed journals to increase the faculty’s research capabilities. Second, universities should reduce the teaching load of faculty involved in research projects, particularly those funded by the private sector.

The outcomes of this survey-based study are very valuable to the ecosystem of academia, business and government in general and for Saudi Arabia in particular, where there is a vital need to implement the right policies regarding UBC in the country.

The purpose of this paper is to identify the compensation between research groups and companies that contribute the most for the innovative performance of Brazilian public higher educational institutions (PHEI), using as database the 2010’s tabular plan from CNPq’s Directory of Research Groups.

Descriptive and multivariate statistical techniques such as spearman correlation, cluster analysis, ANOVA and discriminant analysis were used.

Compensations that contribute the most for the updating of the PHEI are identified as transfer of financial resources from the partner to the group; providing grants for the group; transfer of material supplies to partner’s activities; temporary physical transfer of human resources from the group to the activities conducted by the partner; other forms of compensation that do not fit in the previous categories; and partnering with transfers of resources of any kind going in any direction.

As a limitation, it is pointed out the discontinuity of the tabular plan, which presents 2010 as the last available data.

The results can contribute to programs and policies to encourage innovation within universities.

It may be inferred that the stimulus to specific compensations may expand the quantitative idea of interaction points between the university and companies, linking qualitative aspects, which leads to an understanding that such interactions may, in fact, contribute directly to the activity of generating and spreading knowledge and innovation.

Universities, when collaborating with industry, are generally assumed to be the motors for innovation. Inspired by a case on a university’s collaboration with small- and medium-sized enterprises (SMEs) in a regional strategic network (RSN), this paper aims to put forth how the university makes important contributions through transferring knowledge on innovation processes that is a teaching role, rather than sees itself as the party producing innovations. This paper describes and discusses the university’s teaching role and its consequences in university-industry collaborations for innovation.

Empirically, the paper departs from a mid-Swedish RSN where nine SMEs started to work with a university. Interviews with representatives of the nine SMEs participating in the innovation project, along with university and RSN representatives, comprise the main data source. The paper analyzes the university’s teaching role and the consequences of it.

Findings point at how the SMEs developed structured innovation processes, improved their market intelligence and increased their efficiency in providing new solutions. The university facilitated knowledge, while the SMEs responded through creating knowledge both on how to innovate and in terms of innovations.

The teaching role, which would mean that the university stays with one of its core functions, indicates a need to rethink university-industry collaboration related to expectations and role division. Moving from producing innovations to facilitating knowledge on how to innovate, would, for universities, mean that they minimize those conflicts emerging from their various roles and indicate that the production of innovation is placed at those devoted to run and grow businesses.

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 paper is to investigate the academic side of university–firm linkages, reporting the results of research (called the “BR Survey”, a primary database) conducted in Brazil with leaders of research groups that interacted with firms. The authors analysed the answers from 662 research groups (from both universities and research institutes) to investigate whether the intensity of private funds affects the results of the interactions. The main intent is to answer the following question: Is there a difference between funding sources and the type of results achieved by research groups when interacting with firms?

To verify the impact of some variables on the perception of the main results of university–firm interactions, highlighting the impact of funding sources, the authors present a Logit Model defined with binary dependent variables. The null value is categorized as a “scientific result” (new scientific discoveries and research projects; publications, theses and dissertations; human resources’ and students’ education) and the value 1 is classified as an “innovative/technological result” (new products, artefacts and processes; improvement of industrial products and processes; patents, software, design and spin-off firms).

The authors found that the modes of interaction (relationship types) and some knowledge transfer channels, besides the number of interactions with firms, have statistically significant coefficients, so their values present different impacts on the results of the interaction. The results suggest that the Brazilian innovation policy towards a more active and entrepreneurial role of universities is fostering innovative/technological results from university–firm interactions.

The originality of the study lies on the results found that given the fact that private funding sources do not affect the conventional mission of Brazilian universities – teaching and research – university research groups should be even more incentivized to search for private funds to carry out their research. This may be a solution to the public fund scarcity and may help in reducing the historical distance between universities and firms in Brazil.