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This paper aims to study knowledge integration mechanisms in an interdisciplinary research project. It develops the theoretical literature on the concept of knowledge integration, particularly the adoption of different organizational mechanisms. The research helps to explain how to adopt different integration mechanisms in the various steps of a typical university industry research project.

This research relies on a case study. The authors used three data collection techniques: internal document analysis, observation/site visits and semi-structured interviews. Documentary analysis was used to understand the organizational structure and to identify knowledge integration issues. Observation and site visits at university research laboratories were used to increase understanding on particular issues. Staff interviewed included managers and academic researchers.

Findings are primarily related to a better understanding of choices of knowledge integration mechanisms in a university industry research project. A crucial aspect was the level of mutual understanding of specialist knowledge. When project members were derived from different sides of the university-industry border, there was a major need for recurring to more structured knowledge integration mechanisms, even if the scientific background of participants was homogeneous.

Previous studies on the relationships between university and industry deals with the issue of governing the knowledge exchange on the border at a macro level; conversely, an interesting research gap is represented by knowledge integration mechanisms to be deployed on the university-industry border, especially at micro level. In this paper, the authors do not cope explicitly with university-industry coordination mechanisms but use the University-Industry border to study knowledge integration in interdisciplinary setting. The study is exploratory, which may be useful in generating future research hypotheses, connecting the features of research projects with the need to achieve knowledge integration.

The purpose of this paper is to improve the understanding of university‐industry research collaboration through the development of a new process model.

A literature review was carried out on collaborative partnering and supporting factors namely social capital and the role of knowledge. Empirical research involved a series of 32 structured interviews with relevant stakeholders, with subsequent grouping and conceptualisation allowing common themes to be identified and a new process model to be proposed.

The study finds that there is a lack of integrative frameworks for the management of research collaborations. Through building on the suggested best practice described in the paper, application of the model to the management of an engineering research programme has allowed the benefits of this approach as well as some of the underlying issues to be explored in detail.

The research focused on university‐industry research collaborations and although it may be applicable to other forms of collaborations, e.g. industry‐to‐industry, there could be features that are particular to the area under investigation.

A model has been proposed, which is a logical methodology that can be utilised by practitioners from both academia and industry in order to improve the process of research collaboration and facilitate more effective transfer of knowledge.

The model builds on previous literature on alliance and collaboration management but crucially is based on an innovative new process‐based methodology, which provides practitioners with a “route map” of how to develop and manage research collaborations. The model uses a holistic approach to collaboration through capturing process, knowledge and social elements.

In this paper, we depart from extant conceptualisations of knowledge translation mechanisms to examine projects as a way to achieve effective knowledge transfer. Our empirical analysis focused on a university–industry research project in the automotive industry.

The empirical analysis was based on a qualitative investigation. We analysed material collected within a research project involving a partnership between two universities and Fiat-Chrysler Automotive (FCA), a multi-brand auto manufacturer with a product range covering several different market segments. We used three data collection techniques: internal document analysis, participant observation and semi-structured interviews.

Our findings show that, in a U-I research project, goals represent a key dimension to support knowledge translation. Defining the goal implies an ongoing negotiation process, where researchers and company employees work together, in order to converge towards a shared meaning of the goal. In this sense, goal orientation and goal-based interaction have significant implications for knowledge translation processes.

Studies to date have focussed on the concept of knowledge translation as a way to contextualise the transfer from the source of knowledge to the receiver and to interpret the knowledge to be exchanged. This study expands the understanding of knowledge translation mechanisms in university–industry research settings. It investigates the concept of projects as powerful knowledge translation mechanism in a dynamic and longitudinal perspective. Our contribution provides insight, reflecting on how the use of projects may represent a way to facilitate knowledge transfer and build up new ideas and solutions.

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 purpose of this paper is to contribute to the understanding of the variables that play a relevant role in the management of university-industry linkage and technology transfer in the context of a public university in Mexico.

This study is quantitative, and the method is based on an exploratory factor analysis (EFA), to identify the group of variables that relates to university-industry technology transfer, by applying a questionnaire to full time professors and researchers.

The EFA allowed for the analysis of the relationships within a group of variables, and found that the structure of the principal components presents a close connection to the literature review. The first, second and third factors, named institutional support in the linkage and technology transfer activities, research results management, and university linkage activities planning, respectively, explain the original problem in a greater percentage. Additionally, it is suggested to include other variables, to increase the explained variance percentage of the components.

The study of university-industry linkage and technology transfer allows for improvement in the institutional management of these activities, their entrepreneurship, and consequently, their use by companies, government and society.

This study focuses on analyzing a group of variables in a questionnaire, in order to identify those that are related to the university-industry technology transfer management, in the context of a public university in Mexico.

This paper aims to present a general framework for fostering research collaboration and knowledge flow between university and industry in Thailand.

With the aim of comprehending complex interactions of the university‐industry (U‐I) linkage, the adopted research methodology for collecting data is based on a combination of various approaches, such as qualitative methods encompassing in‐depth interviews, researcher participations and various documents analysis.

A framework (Government, University, Industry and Networks: G‐U‐I‐N) was developed encompassing the main factors that could make U‐I relationships more successful in Thailand. Knowledge management is an important enabler of this framework.

This paper presents the various elements (enablers) necessary for an emerging country, such as Thailand, to establish or strengthen successful collaboration and research projects between universities and industries in order to remain competitive.

The purpose of this chapter is to illustrate the role of higher education establishments in Middle Eastern countries specifically Saudi Arabia. The contributions of higher education establishments are particularly significant in relation to regional and national innovation system, which have been earmarked as engine for growth of the local economy across the region. Our study has chartered the dynamic nature of higher education in the region and their networking capabilities in order to be recognized as key stakeholders of the emerging economy. The study is informed by theoretical dimensions of “open innovation” and how the framework can accommodate the dynamic nature of higher education establishments in order to provide further impetus to ambitious projects such as Vision 2030 in Saudi Arabia. Our study is limited by further empirical evidence but has implication for the region in offering new insights around the evolving conceptualization of entrepreneurial universities and national innovation system.

This study aims to understand in what way international cooperation between universities and/or firms can be seen as a vehicle in the transfer of knowledge and innovation for implementation of environmentally sustainable practices.

To do so, a qualitative approach was adopted, resorting to the case study method: the EdgeWise project. Data were obtained from interviews, documentation provided by partners and observation, and the content analysis technique was also used.

The results lead to the conclusion that this type of international cooperation is supported by solid dimensions, such as knowledge transfer and appropriate choice of partners. In addition, the dimension related to organisational culture is not considered a barrier in the cooperation process studied here, but rather as a form of learning among partners.

The empirical evidence suggests that it will add value to the understanding of the various issues surrounding resources (water and energy) that differ from country to country. However, the administrative-bureaucratic dimension is identified as a barrier to this type of cooperation/project, with its analysis being suggested for future studies.

This innovative study shows that the literature and the case study made identified various dimensions; motivations, barriers and drivers, of knowledge transfer, choice of partners and organisational culture. In addition, this study contributes for international universities-firms cooperation in sustainability area.

The Kingdom of Saudi Arabia (KSA) has a comprehensive and coherent innovation system producing significant outcomes. However, as with every system, continuous improvement is required to optimize system performance. This chapter analyzes KSA’s innovation system based on the 2018 Global Innovation Index indicators among 127 countries. The chapter identifies the highlighted performance areas of the system and its market failures. In turn, the systemic analysis of the country’s NIS reveals the strong interactions but also the system’s failures, proposing a set of action policies to be undertaken that will generate a significant improvement over the expected results of the system. The main system failures identified are the low knowledge diffusion or knowledge spillover effects and the minimal access to equity funding for startups, or the absence of a risk capital culture. However, the country’s innovation system is coherent, presenting strong interaction linkages between the research, innovation, and commercialization node. It presents a remarkable improvement since 2011, presenting an above-average performance in terms of allocated resources for research and innovation.

The purpose of this study is to explore the antecedents of digital technology adoption by firms, specifically the role of strategic leader social ties such as board networks and executive academic connections in promoting digital transformation. Moreover, the authors also aim to examine the moderating effect of exploratory innovation strategy on the relationship between board networks, academic connections and digital transformation.

This study uses the panel data of Chinese A-share listed companies from 2010 to 2019. Through text analysis of data such as company annual report, media interaction, asset annotation and International Patent Classification, the authors measure degrees of digital transformation from four dimensions: management attention, media discussion, digital input and digital output. Further, this study employs social network analysis and instrumental variable method to examine the causal relationship between strategic leader social ties and digital transformation.

The study finds that an expansive board network can significantly promote the digital transformation process of companies, in which academic connection of senior executives plays a positive synergistic role with board network. Additionally, firms with exploratory innovation strategies are more likely to utilize board networks to accelerate their digital transformation process.

One limitation of this study is the use of Chinese A-share listed companies as the sample, which may limit the generalizability of the findings to other contexts. Additionally, the study focuses only on two types of strategic leader social ties and does not consider other potential antecedents of digital transformation.

This research provides insights for governments to promote digital economy and industrial upgrading. Policymakers can facilitate industrial digital transformation by creating a supportive policy environment that encourages university–industry collaboration. By fostering academic entrepreneurship and cross-border knowledge transfer, governments can create a thriving ecosystem for digital innovation, thereby enhancing industrial competitiveness and economic growth.

This study helps to improve social welfare. By reducing production costs and enhancing customer experience, digital transformation increases economic surplus for both consumers and manufacturers, enabling society as a whole to benefit from the digital dividend. By promoting collaboration across borders and embracing a digital-friendly culture, businesses and governments can achieve long-term success in the digital age and contribute to building more prosperous and sustainable societies.

This research makes several contributions to the literature on digital transformation and leadership. Firstly, this paper empirically examines the role of board network and executive academic connection in promoting the adoption of digital technology, filling the research gap of leadership antecedents of digital transformation. Secondly, the authors put forward a relatively comprehensive measure for digital transformation, which could help to advance the literature on digital transformation and provide a more nuanced perspective on this topic. Finally, the paper enriches the theoretical understanding of board network and executive academic connection from the perspective of social capital theory and organizational learning theory.