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This paper aims to identify and examine the factors that influence construction industry-university (IU) collaboration and develop the likelihood model of a potential industry partner within the construction industry to collaborate with universities.

Mix method data collection including questionnaire survey and focus groups were used for data collection. The collected data were analysed using descriptive and inferential statistical methods to identify and examine factors. These findings were then used to develop the likelihood predictive model of IU collaboration. A well-known artificial neural network (ANN) model, was trained and cross-validated to develop the predictive model.

The study identified company size (number of employees and approximate annual turnover), the length of experience in the construction industry, previous IU collaboration, the importance of innovation and motivation of innovation for short term showed statistically significant influence on the likelihood of collaboration. The study also revealed there was an increase in interest amongst companies to engage the university in collaborative research. The ANN model successfully predicted the likelihood of a potential construction partner to collaborate with universities at the accuracy of 85.5%, which was considered as a reasonably good model.

The study investigated the nature of collaboration and the factors that can have an impact on the potential IU collaborations and based on that, introduced the implementation of machine learning approach to examine the likelihood of IU collaboration. While the developed model was derived from analysing data set from Western Australian construction industry, the methodology proposed here can be used as the basis of predictive developing models for construction industry elsewhere to help universities in assessing the likelihood for collaborating and partnering with the targeted construction companies.

Firms tend to transfer more knowledge in technology joint ventures compared to contractual technology agreements. Using insights from new institutional economics, this chapter explores to what extent the alliance governance association with interfirm knowledge transfer is sensitive to an evolving industry norm of collaboration connected to the logic of open innovation. The chapter examines 1,888 dyad-year observations on firms engaged in technology alliances in the U.S. information technology industry during 1980–1999. Using fixed effects linear models, it analyzes longitudinal changes in the alliance governance association with interfirm knowledge transfer, and how such changes vary in magnitude across bilateral versus multipartner alliances, and across computers, telecommunications equipment, software, and microelectronics subsectors. Increases in industry-level alliance activity during 1980–1999 improved the knowledge transfer performance of contractual technology agreements relative to more hierarchical equity joint ventures. This effect was concentrated in bilateral rather than multipartner alliances, and in the software and microelectronics rather than computers and telecommunications equipment subsectors. Therefore, an evolving industry norm of collaboration may sometimes make more arms-length governance of a technology alliance a credible substitute for equity ownership, which can reduce the costs of interfirm R&D. Overall, the chapter shows that the performance of material practices that constitute innovation ecosystems, such as interfirm technology alliances, may differ over time subject to prevailing institutional norms of open innovation. This finding generates novel implications for the literatures on alliances, open innovation, and innovation ecosystems.

This paper aims to identify current challenges that hinder university–industry (U-I) collaboration in Pakistan and presents future opportunities for promoting such collaborations in developing countries.

This exploratory study presents new empirical evidence obtained from Pakistan via a questionnaire survey of 24 universities, 25 interviews with key stakeholders including industry managers and outputs from a high level workshop event.

Although there is limited evidence of U-I engagement in Pakistan, the findings show that a lack of coordination between government, universities and industrial firms has hindered knowledge transfer between universities and industry. Such steps as utilising intermediaries to help broker effective collaborations and building trust-based relationships can help in socialising these types of scientific activities.

Any overall conclusions drawn from this exploratory study can only be tentative, as the findings represent a snapshot of current U-I collaboration initiatives in Pakistan.

Less stringent policy interventions from government entities, as well as more universities willing to invite industry input on their board of studies might enable co-development of some university curriculums with industry partners. U-I collaborations could also help to boost innovation efforts in developing country firms.

This paper also offers awareness into benefits of teaching activity collaboration with industry partners, which has been an under explored area of past U-I collaboration studies. The findings should be of interest for both innovation policy and higher education policy researchers.

University-industry collaboration yields numerous advantages resulting in potential benefits in funding research and innovation. Despite the numerous benefits, there are various perceived disadvantages of such collaboration especially in the field of child and adolescent psychiatry in prominent academic institutes in London, UK. The purpose of this study is to explore the perceptions, opinions, beliefs and attitudes of the academics and clinicians in an academic university department towards industry collaboration.

Two methods were applied, quantitative and qualitative. The quantitative method used an online questionnaire of four-point Likert-Scale, the link of which was emailed to 80 members of the department with a response rate of 32%. The qualitative method included a one-to-one interview with eight researchers from the department to garner in-depth information on the attitude of researchers in child and adolescent psychiatry towards industry collaboration.

The online questionnaire was completed by 26 researchers, the vast majority perceived industry as biased to favour their product and as having a bad or mixed reputation. One-on-one interviews with eight prominent researchers allowed us to share their perception and attitude towards industry collaboration, although the researchers believe that availability of funding was the major advantage of working in collaboration with industry, many did not know how to access such grants and some raised concerns about industry’s record of presenting partial results.

Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further.

This paper will shed light on how prominent researchers perceive collaboration with industry.

Although researchers are very reluctant to collaborate with industry because of its public opinion and sometimes unethical and lack of integrity among the industry, with rigorous ethical guidelines and policies, the pharmaceutical industry can be a potential and significant source of funding of high-quality research and innovation.

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 conceive the concept of inter-industry creative collaboration; a unique kind of cooperation between business partners from diverse industries. It investigates the motivations that encourage their creation and identifies a method to evaluate consumers’ attitudes towards this kind of partnership. The study analyses consumer-based brand equity and links them to inter-industry creative collaborations within the luxury fashion industry.

Research was conducted using a comparative case design, which was qualitative in nature. Four cases were selected purposively. The data were obtained using semi-structured interviews with industry informants and consumer focus groups. Transcripts were thematically analysed according to common categories identified in the literature to enable cross-case conclusions to be drawn.

The research proposes the existence of a direct relationship between the consumer-based brand equity effects and consumers’ attitudes towards inter-industry creative collaborations. This research not only proves the existence of the stated relationship but also generates a theoretical framework that specifically analyses inter-industry creative collaboration involving luxury fashion brands.

The usage of convenience sampling limited consumer participants to individuals who considered themselves luxury fashion consumers. In addition, the findings are limited to London, UK and cannot be generalised outside the examined cases. That said, the research provides a useful starting point for further empirical research to test the validity and reliability of the model outside of the stated cases.

The proposed theoretical framework serves as a practical guide for luxury managers to assess the planning and execution of inter-industry creative collaborations conducted by their brands.

The research makes a contribution to brand management literature by creating a connection between four topics of academic research: motivations of inter-industry creative collaborations; consumer-based brand equity; consumers’ attitudes towards inter-industry creative collaborations; and the creative and emotional elements of luxury fashion.

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.

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.

This paper aims to propose a collaborative approach model developed based on observations of two aerospace manufacturing small and medium-sized enterprises (SMEs) pursuing their digital transformation toward Industry 4.0.

This research focuses on two manufacturing SMEs in North America, and data were collected using longitudinal case study and research intervention method. Data collection was performed through observation and intervention within the collaborative projects over 18 months.

A model of a collaborative approach to digital transformation (CADT) for manufacturing SMEs was produced. Based on the study findings, the collaboration manifests itself at various stages of the transformation projects, such as the business needs alignment, project portfolio creation, technology solution selection and post-mortem phase.

Research using the case study method has a limitation in the generalization of the model. The CADT model generated in this study might be specific to the aerospace manufacturing industry and collaboration patterns between manufacturing SMEs. The results could vary in different contexts.

The proposed CADT model is particularly relevant for manufacturing SMEs' managers and consultants working on digital transformation projects. By adopting this approach, they could better plan and guide their collaboration approach during their Industry 4.0 transformation.

This research provides a new perspective to digital transformation approaches in the aerospace industry. It can be integrated into other research findings to formulate a more integrated and comprehensive CADT model in industries where SMEs are significant players.

This study aims to discover the influence of researcher competence on University-Industry collaboration via researcher’s domain knowledge.

Quantitative data were collected via survey questionnaire by using purposive sampling technique from a total of 121 academicians from all five research universities in Malaysia. PLS-SEM is used to examine multiple structural relationships between the researcher competence, domain knowledge transfers and spillovers and university-industry collaboration.

Researcher’s competence serves as a success booster to initiate the collaborative endeavour, and the University-Industry collaboration is found to be substantially influenced by the domain knowledge transfers and spillovers.

The size of the sample in this study was however constrained by the characteristics and background of the targeted pool of respondents to be generalised to the population of all universities in Malaysia.

Researcher competence is found to be significant drive to the University-Industry collaboration formation through the development and deployment of domain knowledge transfers and spillovers. Thus, it requires the desire and need for continuous competence development for researchers, and a step change is called for individual principal investigators about extending their leadership across the field of studies and appearing as critical business partners in the University-Industry collaboration.

The paper contributes to the literature by empirically investigating the influence of researcher competence on the University-Industry collaboration via researcher’s domain knowledge. It attempts to show the researcher’s ability to leverage their competencies in increasing the collaborative endeavour in making out business opportunities, which will eventually influence the public university’s sustainability development. In addition, it proves the importance of researcher’s competence and domain knowledge within the entrepreneurial activities, which serves as the significant drivers to ensure successful University-Industry collaboration.