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Collaboration with universities is an important innovation strategy for enterprises. However, currently very little research has focused on how such university-industry collaborative innovation activities should be managed. The paper aims to discuss this issue.

This paper introduces the university-industry collaborative innovation practices of Zhejiang NHU Company in China. By using a case study as the method, this paper aims to illustrate the mechanism of university-industry collaborative innovation and how to manage the collaborative innovation activities efficiently.

Zhejiang NHU Company established a university-industry collaborative innovation link through three innovation platforms: the technology R&D center, the ZJU-NHU joint-research center, and the national engineer center. Zhejiang NHU Company manages its collaborative relationships with universities through this innovation network.

NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.

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 research purpose is to analyse when and how innovation support programmes (ISPs) can affect collaboration between universities and established small and medium sized enterprises (SMEs). The paper specifically considers SME’s absorptive capacity.

A Swedish research centre is studied in the context of innovation support and two of its SME-ISPs are examined with regards to industry–university collaboration and impact on firm innovation capabilities. Data collection and analysis are performed, using interviews, survey answers, document search and reflectional analysis to evaluate processes and effects of the centre and the programmes.

A developed research centre, integrated into both academia and industry, can support translational collaboration and promote SME innovation absorptive capacity. The action learning elements and the organisational development approaches used when coaching in the ISPs contribute to the SMEs internal absorption capacity and collaborational skills. Organising collaboration into ISPs can provide a relational path to future collaboration with universities, which, for example start with student projects.

The study, though limited to one Swedish region, adds to empirical innovation research as it connects industry–university collaboration and absorptive capacity to organisational learning.

The empirical results indicate possible long-term gains for industry and universities in building collaborative innovation into SME-ISPs.

The contribution of this study pertains to the practice of innovation support for established SMEs with the inclusion of absorption capacity and collaborative innovation development.

The purpose of this paper is to examine the influence of the innovation ability of universities (IAU) on the efficiency of University–Industry knowledge flow and investigate whether the level of provincial innovative agglomeration (PIA) moderates the relationship between IAU and the efficiency of the University–Industry knowledge flow.

This study uses the super-efficiency data envelopment analysis model to measure knowledge research efficiency (KRE) and knowledge transformation efficiency (KTE) and then studies the influencing mechanism of the two kinds of efficiency using the spatial Tobit model with panel data from 2008 to 2017.

The results show that the overall KRE in Chinese universities is higher than the KTE. IAU has a significantly positive impact on KRE and KTE. PIA has a significantly inverted U-shaped influence on KRE and KTE and positively moderates the promoting effect of IAU on KRE and KTE.

Due to the limitations of the data, this paper only selects several secondary indicators to measure KRE and KTE with reference to previous studies.

This study enriches the future research of University–Industry cooperation and knowledge flow and it is conducive to promoting the efficiency of University–Industry knowledge research and transformation from the perspective of universities, enterprises and local governments.

This study proposes the concept of University–Industry knowledge flow and divides the knowledge flow into the knowledge research stage and the knowledge transformation stage based on the knowledge supply chain theory. Moreover, the paper expands the theoretical framework of the impact of IAU on the efficiency of University–Industry knowledge flow and provides findings on the moderating effect of PIA.

University–industry (UI) collaboration is essential for knowledge and technology exchange between higher education institutions and industries, enabling enterprises to accelerate innovation. However, few studies have investigated the collaborative innovation mechanism through which UI collaboration can enhance the accumulation of firms' intellectual capital (IC) and how this, in turn, affects their innovation-driven development.

Drawing from the knowledge management and collaborative innovation theory, this research proposes a theoretical framework of the inter-organization relationship between enterprises and universities to investigate the influence mechanism of UI collaboration, including academic engagement and commercialization, on corporate performance as well as the mediating role of IC by employing survey that covers 177 UI collaborations.

Empirical results show that human capital and relational capital fully mediate the relationship between academic engagement UI collaboration and corporate economic performance, while human capital partially mediates the relationship between commercialization UI collaboration and corporate economic performance. Additionally, structural capital and relational capital partially mediate the relationship between academic engagement and corporate innovation performance, while structural capital fully mediates the relationship between commercialization and corporate innovation performance.

This study empirically investigates how academic engagement and commercialization impact corporate performance (i.e. innovation dimension or economic dimension). It uncovers this relationship's underlying mechanism by documenting the IC's mediating impact.

The purpose of the study was to examine the factors that are important for strengthening university–industry collaboration (UIC). This study also investigates the outcome of UIC in the light of creativity, skill, knowledge, and research work.

A survey method has been used to collect data for the study. This study applied a purposive judgmental sampling technique where particular types of respondents like university faculty members and the top officials of the organizations were selected who are knowledgeable and can provide the desired information. The current study used the structural equation modeling method to analyze the data. In the first stage, this research assessed the demographic factors of the respondent. Then this study conducts confirmatory factors analysis and convergent and discriminant validity and reliability test. Finally, the hypotheses are tested by using nonparametric.

This study finds that knowledge transfer mechanism, governmental factors, organizational design factors, technology transfer and the collaborative network has a significant impact on strengthening UIC, which ultimately facilitates creativity, knowledge creation, skills development and supply of graduate according to the requirement of the industry, good research work.

The current study identified some important determinant that has a substantial influence on strengthening UIC. According to the study organizational design, government, technology, collaborative network and mechanism for knowledge transfer play very crucial roles in strengthening collaboration that ultimately increases the creativity, skills, knowledge and research capability of graduates.

The mechanism of leadership’s impact on dynamic capabilities has aroused widespread interest, but few studies focus on transactional leadership, especially empirical research by micro foundations in the R&D departments from collaborative innovation alliances. The purpose of this paper is to investigate how the mechanism of transactional leadership affects dynamic capabilities based on the mediating effect of regulatory focus.

In order to better illustrate the role of transactional leadership on dynamic capabilities, the authors introduced regulatory focus as a mediator based on previous research. A sample of 245 dyads comprised of full-time employees and their immediate supervisors was collected from the innovation teams of industry-university alliances through questionnaires in China and analyzed via hierarchical regression method. Non-response bias and endogeneity testing were also conducted to confirm the validity of the findings.

Contingency-reward behavior promotes the development of employee sensing and seizing capability. Management-by-exception promotes the development of employee reconfiguration capability. Promotion focus positively mediates the relationship between contingency-reward and sensing-seizing capability. Prevention focus positively mediates the relationship between management-by-exception and sensing-seizing capability. In addition, management-by-exception is also positively related to sensing capability and promotion focus is positively related to reconfiguration capability.

This paper confirmed different dimensions of transactional leadership favor different dimensions of dynamic capabilities based on different dimensions of regulatory focus, which enriches the theory of strategic leadership and dynamic capabilities, and is conducive to the management of collaborative innovation in technological innovation alliances.

The purpose of this study is to research the effect of leader creativity expectations on follower radical creativity. Highlighting the implications of leader creativity expectations, the authors examined employee creative process engagement as a mediator and follower perceived procedural justice as a moderator in the relationship between leader creativity expectations and employee radical creativity.

A sample of 256 dyads comprising full-time employees and their immediate supervisors were collected from the innovation teams of industry-university alliances through questionnaire in China, the authors hypothesized and found support for a moderated mediation model.

The findings show that leader creativity expectations are significantly and positively related to employee radical creativity; creative process engagement plays a fully mediating role between leader creativity expectations and employee radical creativity; procedural justice moderates the positive relationship between leader creativity expectations and creative process engagement and enhances the positive indirect effect of leader creativity expectations on follower radical creativity.

The creativity expectations of leaders are prerequisite for leadership to drive followers to be creative, which can pose great effect on extra-role behavior of followers such as radical creativity. Leaders can deliberately set role expectations for subordinates to achieve creative goals. Compared with the traditional management practices emphasizing planning, leaders encourage trial practice, provide enough time to ensure employees fully identify problems and provide resources to facilitate information search and coding, may achieve better results. Organizations should also place greater emphasis on the procedural justice, thereby enhancing the positive impact of other factors on employee radical creativity.

This study examined the relationship between leader creativity expectations and follower radical creativity based on the perspective of creative process engagement. The conclusion expanded the evidence of the impact of leader expectations besides this study strongly demonstrate that procedural justice will affect employees creative process engagement which enriches the literature on radical creativity strategic leadership and work engagement.