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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.

University–industry projects provide special challenges in understanding and expressing the values required of project management (PM) in delivering stakeholder benefits. This paper presents a framework for understanding, identifying and managing the values of PM in major university–industry R&D projects.

The value framework identifies for each of the key stakeholders, the key PM values that may require to be managed and are largely derived from research literature. Empirical research then explores, prioritises and selects key PM values that need to be managed for a specific project. A large case study is used involving one university and one industry collaborating on a multi-million Euro initiative over six years. Empirical research was conducted by researchers who observed at close quarters, the challenges and successes of managing the competing values of key stakeholders.

The value framework takes a stakeholders' perspective by identifying the respective PM values for each of six stakeholders: university–industry consortium, university, industry, R&D external entities, funding entity and society.

The research was performed using only one case study which limits the generalisability of its findings; however, the findings are presented as a decision support aid for project consortia in developing values for their own collaboration.

Guidance and decision support are provided to multi-stakeholder research consortia when selecting values that need to be managed for achieving tangible and intangible project benefits.

The paper demonstrates a proposed framework for designing and managing the value of PM in large multi-stakeholder university–industry R&D projects.

The purpose of this paper is to investigate how knowledge management and university-industry-government collaboration – including the triple helix – relate with each other in influencing organizations’ performance. In the competitive environment nowadays, an organization’s ability to create and use knowledge becomes ever more essential in the search for sustainable competitive advantage, even leading to the search for new forms of inter-organizational arrangements.

The representatives of such collaborations selected for this study are the National Institutes of Science and Technology. The categorical content analysis technique was used for the qualitative analysis of the data.

The principal contribution was the proposal of an analytical model relating the knowledge management and triple helix theories and the proposed dimensions (namely, structural, relational, cognitive and the context), considering the peculiarities of the Brazilian context. The findings show that the organizational structure (structural) influences not only the relationship among members (relational) but also the flow of knowledge (cognitive), as well as how relational elements (collaborative culture, trust and leadership) facilitate knowledge sharing. Moreover, the context affects these three other dimensions. The main obstacles identified were cultural differences, bureaucracy and the socio-economic reality, while facilitators were the existence of technology parks and incubators, government incentives and geographical proximity between universities and industry.

This topic was chosen as there are few empirical studies that comprehensively relate the topics of knowledge management and university-industry-government cooperation focusing on the Brazilian context.

Despite evaluating the performance of university-industry alliances being extremely important, scholars have not developed any structured and commonly accepted systems of indicators aimed at measuring the results of these collaborations. In this article, the aim is to review the literature on the evaluation of the performance of university-industry alliances and to identify a series of issues that future studies on this topic should take into account.

The paper opts for a literature review on university-industry collaborations. The review is based on papers in management, economics, and organization science. Systems of indicators to evaluate the performance of these collaborations are discussed. Directions for further research are proposed.

The literature review on firm-industry collaborations highlights a large number of contributions on the topic. However, it shows that there is still room for further inquiry on systems of indicators to evaluate the performance of these collaborations.

The literature review offers a good guideline to researchers intending to study the performance of industry-university collaborations. The discussion on the system of indicators paves the way to further empirical research on the topic.

The authors are confident that the paper has interesting practical implications. Indeed, it is a valuable guideline for policymakers, university managers, and entrepreneurs interested in evaluating the performance of industry-university collaborations.

Industry collaborations are the third mission of university systems. When this mission is accomplished in a proper manner, it benefits firms, universities, and society at large.

The paper adds to the debate on university-industry collaborations by offering literature on the topic with a particular emphasis on an under-researched theme: systems of indicators to evaluate the performance of these collaborations.

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

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

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

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

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry collaborative innovation. This paper aims to answer the question of how geographically proximate university and industry influence cognitive, social, organizational, institutional and cultural proximity within university-industry joint laboratories and finally, what is the outcome of these interplays on collaborative innovation.

The study uses an exploratory multiple-case study approach. The results are derived from 53 in-depth, semistructured interviews with laboratory directors and representatives from both the company and the university within 8 joint laboratories of Telecom Italia (TIM). The data collection was carried out in 2014 and 2015. The analysis follows a multi-grounded theory approach and relies on a mix of deductive and inductive reasoning with the final goal of theoretical elaboration.

This study finds the role of social and cultural proximity at the individual level as a result of geographical proximity as an enabler of collaborative innovation by triggering mutual learning, trust formation and frequent interactions. Cognitive proximity at the interface level could systematically influence collaborative innovation, while organizational and institutional proximity has marginal roles in facilitating collaborative innovation. The qualitative analysis offers a conceptual framework for proximity dimensions and collaborative innovation within university-industry joint laboratories.

The framework not only advances state-of-the-art university-industry collaboration and proximity dimension but also offers guidance for managers in designing collaborative innovation settings between university and industry.

With this study, the paper advances the understanding beyond solely the relationship between proximity and collaboration and shed light on the interplay between geographical proximity and other proximity dimensions in this context, which has received limited scholarly attention.

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.

The study aims at disclosing the evolution process to an entrepreneurial university in the government‐pulled triple helix in China through the analysis of MIT and Stanford model of “university‐pushed triple helix” in which academic institutions take the lead in regional innovation.

The paper is based on a case study of the Northeastern University (NEU), which is located in the Northeast China where there is a dominant government‐pulled triple helix and with the establishment of China's first science park in which a highly successful software company (Neusoft) was created.

The pathway to an entrepreneurial university begins with government‐pulled + industry‐university collaboration, to university‐industry collaboration + interaction triple helix. This may be followed by a gradually developing “university‐industry collaboration” in which companies fund academic research with potential industrial use, the beginnings of a university‐pushed triple helix.

The analysis of NEU exemplifies the emergence of the entrepreneurial university in China and provides strategic implications for policy makers in terms of designing the appropriate policy to support university enterprising strategy.

The purpose of this paper is to explore university‐industry collaboration in research centres.

The paper builds on an explorative study of three research centres at a technical university in Sweden, using in‐depth interviews. The three research centres, Alpha, Beta and Gamma, have various degrees of involvement with industry.

A total of four broad forms of collaboration are suggested: distanced, translational, specified and developed collaboration.

The paper shows that the different institutional logics of academic actors, industry actors and funding agencies can be present in collaborations in (at least) four different ways resulting in four different types of research processes. Since not all actors are likely to be equally satisfied in all types of collaborations, the continued development of the research centres will be at risk.

If the role of the research centre is to be a forum for collaboration, the research centre has to be a good mediator between the actors in order to ensure their satisfaction with the research centre within and between projects. If, in contrast, the role of the research centre is to be a facilitator of collaboration, the research centre needs to enable the actors to learn how to interact with each other in order for the distanced, translational, specified collaboration to evolve into developed collaboration.

Few studies have focused on the collaborations per se in research centres, taking the different institutional logics of the actors involved in the collaboration into account.