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The purpose of this study is to explore the benefits and barriers for learning in industrial PhD education through the perspectives of industrial PhD students. A work-integrated learning (WIL) approach is applied to highlight key issues that university and industry need to consider promoting mutual learning.

The empirical context is a Swedish university profiling WIL offering PhD programs in three disciplines for industrial PhD students from both the private and public sectors. Data was gathered using qualitative methods; 19 semistructured interviews with industrial PhD students.

Findings show that industrial PhD students are developing practical and transferable skills, hence, contributing to research of interest for academia and work–life. Identified benefits for learning include proximity and access to data, project and networks and contextual understanding and tacit knowledge. Barriers for learning are the perceived limited understanding of employers, the dilemma of balancing and switching between different roles, lack of belonging and identity, deficient collaboration agreements and ethical dilemmas.

Contributes insights into an industrial PhD education transforming along with societal needs promoting a future workforce of researchers with skills, new work practices and learning capabilities applicable in the work–life of contemporary society.

This study contributes to the emerging field of studies of alternative doctoral educations by identifying benefits and barriers for learning and providing recommendations for how university and industry may promote learning in a resilient industrial PhD education collaboration.

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.

This study aims at advancing the understanding of University-Industry Collaboration (UIC) by proposing an adapted conceptual model for comprehensive contextual analysis taking industry perspective and identifying effective mechanisms for stimulating UIC in sub-Saharan Africa (SSA).

This study was designed as a multicase qualitative study. Data were collected through interviews of focus groups representing 26 agro-processing companies operating in Rwanda. The process consisted of two sessions evaluating the current collaboration patterns, and two sessions identifying the desired future and the mechanisms to realize it. Data were analyzed using ATLAS.ti software with the grounded theory techniques.

Findings indicate that current interactions are unidirectional and focus on educational collaboration. Results are short-term and do not yield sufficient benefit for the companies involved. Industry aspirations for future collaboration were identified, along with linkages between inputs, activities and outcomes.

This study has two noteworthy limitations. First, this study did not consider the capacity of firms to collaborate. Second, for simplification purposes, this study did not integrate other complementary sources of knowledge for firms. To overcome these omissions, a short introduction of University–Industry Collaboration (UIC) was presented to participants highlighting and justifying the scope of the study. As research implications, this paper presents a new integrated conceptual framework, which can be useful for studies focusing on a comprehensive analysis of the UIC context and identifying effective mechanisms for improvement in the future. A construct of policies that stimulate UIC is proposed, thereby facilitating further operationalization and testing of context-specific hypotheses on policy stimuli.

In practice, the identified conceptual framework allows to holistically capture and reflect on the interrelationships between UIC factors and outcomes for a specific context, hence, informing better UIC decision-making. In this way, this paper advances the operationalization of the argument for reconciling organizational theories with their practices.

This paper presents a systemic means for organizational theories to perform their adaptive role in society. Indeed, as demonstrated by the empirical results, the proposed framework is effective not only in systematically assessing the current situation, but also in predicting the desired state in the future. In other words, the proposed framework facilitates prescience theorizing, which is a mechanism for ensuring that organizational theories adapt to future requirements of the society.

This study develops a new integrative conceptual framework to accommodate the interaction between UIC’s institutional decision-making and existing macrolevel frameworks of innovation ecosystems. In terms of methodology, the value of this study lies in its adoption of an ex ante approach to the development of mechanisms to stimulate UIC. This use of prescience theory (Corley and Gioia, 2011) constitutes an important – but long-neglected – approach to UIC and its adaptive role in society.

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 study aims to explore the conditions of successful implementation of Quality 4.0 in higher education institutions (HEIs) and the key factors affecting it, as well as the role of the Triple Helix collaborative (THC) framework in enhancing the integration of Quality 4.0 principles and Industry 4.0 technologies.

A survey-based strategy was adopted, adopting questionnaires distributed amongst researchers chosen based on their publications related to the aforementioned fields.

The successful integration of disruptive technologies, Quality 4.0 and THC in HEIs heavily relies on educators' continuous learning and professional development. Faculty members must acquire digital skills and competencies to effectively adopt disruptive technologies and implement Quality 4.0 principles in their teaching practices. HEIs should provide opportunities for faculty members to engage in ongoing training programmes, workshops and communities of practice that focus on enhancing their technological proficiencies, pedagogical strategies and collaborative skills.

To the best of the authors' knowledge, this is the first reported study linking the concepts of Quality 4.0 and the Triple Helix of Innovation in HEIs.

The shift toward a circular economy (CE) represents a collaborative endeavor necessitating the presence of efficient frameworks, conducive contexts and a common comprehension. This research serves as a pivotal stride towards this goal, presenting an exclusive prospect for the investigation and fusion of these frameworks, with particular emphasis on the Quintuple Helix Model (5HM), into a unified theoretical framework that underscores the core principles of the CE. This study is centered on three pivotal questions aimed at decoding the CE transition in specific regional settings.

Adopting an abductive approach firmly anchored in a two-stage qualitative process, this study specifically merges the foundational principles from institutional theory, entrepreneurship literature and CE frameworks to provide insights into the dynamics of circular ecosystems, with a specific focus on the Huelva region in Spain.

The findings demonstrate significant potential in the CE, ranging from the integration of product and service systems to innovations in eco-industrial practices. Yet, a notable deficiency exists: the absence of institutional entrepreneurs, highlighting the essential role that universities can play. As recognized centers of innovation, universities are suggested to be key contributors to the transformation toward a CE, aligning with their societal and economic responsibilities.

This study highlights the importance of managing relationships with entities like SMEs and policymakers or academia for effective CE adoption. Policymakers can refine strategies based on the research’s insights, while the impact of university-driven circular ecosystems on sustainable societies is another crucial area for research.

The sustainability models cited in CE literature may not be comprehensive enough to prevent problem shifting, and it can be argued that they lack a sound theoretical and conceptual basis. Furthermore, the connections between sustainability objectives and the three levels of the CE operating system remain vague. Additionally, there is insufficient information on how regions foster the involvement of the environment in fivefold helix cooperation and how this impacts the CE.

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.

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.

Barriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.

Several modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.

The barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.

This identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.

This study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

This paper is part of the ERASMUS+-funded Strengthening University Enterprise Collaboration for Resilient Communities in Asia (SECRA) project. This study aims to map collaborative architecture between partner universities and the public/private sectors to provide a contextualised collaboration framework for disaster resilience (DR) in South-East Asia.

Documentary reviews were conducted in partner countries to establish the current context of university enterprise collaborations (UEC) in South-East Asia. A concept-centric approach permitted the synthesis of concepts from each country review, allowing for comparisons between collaborative practices that impact the success of DR collaborations.

The review identified that funding, continuity, long-term strategic plans and practical implementation are lacking in partner countries. However, each country demonstrated good practices and identified enablers and barriers that impact DR collaborations.

The synthesis revealed a lack of a practical understanding of real-world barriers. Further research is needed to understand real-world experiences in DR collaborations and to provide insights into barriers, enablers and good practices in DR collaborations. Gaining an “on-the-ground” perspective will provide detailed insights and the feasibility of implementation.

The findings provide the foundations for developing a heuristic UEC framework that can inform policies and practices for DR in partner countries.

The findings can inform various stakeholder policies and practices and promote the exchange of ideas between stakeholders to enhance DR in South-East Asia.

The results are relevant within the South-East Asian, as governments have intensified the adoption of measures to encourage UEC for DR.

As university–industry collaboration (UIC) is associated to transfer of knowledge and technology, this collaboration is an extremely important field of study for the world's economies that helps industries become more competitive. UIC will assist universities in fine-tuning universities' educational programs to match with the industrial demand. This study, thus, presents a systematic literature review related to UIC in technology development process and technology commercialization.

The Scopus database is used to extract the relevant articles. First, in presenting the articles, four scientometric analyses are used to visualize the bibliometric clusters, namely articles and journals co-citation analysis, countries collaboration analysis and keywords co-occurrence analysis. Next, a qualitative approach is used to classify the articles according to the methodology used and type of research. Finally, a research trend and keywords' evolution based on keywords are also provided.

Results of this study reveal that majority of the articles used qualitative approach and descriptive analysis to explain the knowledge flow between industries and universities. According to the research trend analysis, researchers in this field were moving from the knowledge-based economy topic (from 2010–2013) to product development (2014–2015), technology commercialization (2016–2017), open innovation (2018–2019) and then currently are focusing on the green entrepreneurship topic.

This study is expected to facilitate scholars to uncover gaps in the literature of UIC.

This study extends the use of scientometric analysis. The combination of “bibliometrix” R-package tool and VOSViewer software to perform the analysis is expected to give a new insight of doing the systematic literature review.