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Online medical teams (OMTs) have emerged as an innovative healthcare service mode that relies on the collaboration of doctors to produce comprehensive medical recommendations. This study delves into the relationship between knowledge collaboration and team performance in OMTs and examines the complex effects of participation patterns.

The analysis uses a dataset that consists of 2,180 OMTs involving 8,689 doctors. Ordinary least squares regression with robust standard error is adopted for data analysis.

Our findings demonstrate a positive influence of knowledge collaboration on OMT performance. Leader participation weakens the relationship between knowledge collaboration and team performance, whereas multidisciplinary participation strengthens it. Passive participation and chief doctor participation have no significant effect on the association between knowledge collaboration and OMT performance.

This study provides valuable insights into how knowledge collaboration shapes OMTs' performance and reveals how the participation of different types of members affects outcomes. Our findings offer important practical implications for the optimization of online health platforms and for enhancing the effectiveness of collaborative healthcare delivery.

As little is known about the productivity levels of small and medium-sized enterprises (SMEs) engaging with universities and the relative changes in productivity of SMEs subsequent to these collaborations, the paper examines the following questions: (1) Does the relative productivity of SMEs engaging in university collaboration differ from those that do not? (2) Are subsequent changes in firm productivity following university collaboration related to their initial levels of productivity?

The paper utilises data on 254 SMEs from the Longitudinal Small Business Survey and uses two statistical techniques: First, bivariate tests of difference were used to inspect the relationships between productivity levels and whether the firm collaborated with a university to introduce its innovation. Second, ordinary least squares regressions were used to test whether the future productivity of SMEs that collaborated with universities was related to their initial productivity levels.

The analysis reveals that SME–university collaboration is unrelated to starting productivity. Furthermore, the analysis suggests a nonlinear relationship exists between the starting productivity of SMEs and their subsequent productivity following a university collaboration. Therefore, higher levels of subsequent productivity are observed among those SMEs where starting productivity was either relatively low or high, suggesting that collaborations have a transformative effect on SMEs with relatively lower initial levels of productivity and a maintenance effect for SMEs with relatively higher levels of initial productivity.

Given the fact that the extant literature also suggests that, overall, university collaboration is beneficial, policymakers should strive to encourage greater levels of collaboration involving SMEs. In light of the evidence that SME–university collaborations can transform less productive firms, it appears unjustified for practitioners and policymakers to only consider stronger-performing firms to be included in such programmes.

The study contributes new theoretical and practical knowledge to the understanding of the role of firm productivity in predicting the proclivity of firms to collaborate with universities. Furthermore, as few studies have examined the impact of these collaborations on the subsequent productivity of firms that collaborate with universities, this paper fills an existing gap in the literature.

Based on the resource orchestration perspective, this paper aims to examine whether family firms are more efficient in their collaboration for innovation process than non-family firms, considering different types of collaboration for innovation depending on the kind of partner.

This study empirically develops and tests the hypotheses based on a panel data sample of 14,937 firm-year observations from 1,867 Spanish manufacturing firms over the period 2007–2014, performing a Propensity Score Matching (Propensity score matching)-based analysis.

Results reveal that family firms outperform non-family firms, despite less collaboration and innovation inputs, thereby extending the ongoing debate surrounding the innovation efficiency of family firms. Family firms obtained better results through vertical collaborations for innovation, both in terms of product and process innovations. For horizontal collaborations, family firms only outperform their non-family counterparts in process innovation. When collaborating with universities and other research centers, there are no significant differences in the innovation outcomes between the two groups.

Recent literature points out that more research is needed to know when, how and under what circumstances family firms show superior innovative efficiency. This work empirically proves that family firms outperform non-family firms in collaboration for innovation. However, not all collaboration partners help family firms to reach this superior innovative efficiency. Family firms obtained better results just through vertical and horizontal collaborations.

The purpose of this paper is to explicate how the processual third context learning approach provides new understandings and dimensions to the well-established terminology within the fields of inter-organizational learning and university–industry collaboration. These understandings and dimensions are empirically informed by an analysis of a collaboration between Aalborg University and Bang & Olufsen, a Danish loudspeaker manufacturer.

To fulfill the research purpose, a case study based on a participatory data collection strategy was applied in the collaboration between Aalborg University and Bang & Olufsen. Data were collected through a qualitative multimethod approach, comprising semi-structured interviews, field observations and field notes. Phenomenologically inspired content analysis revealed the themes outlined and discussed.

The third context framework was useful in outlining the complexity of a bidirectional collaboration. The inter-organizational learning processes were, for example, influenced by the actors’ recurrent inquiry of perplexities regarding the purpose and content of the collaboration. The extracted empirical findings are discussed and related to the fields of inter-organizational learning and university–industry collaboration, thereby explicating how a processual learning perspective provides new understandings and dimensions to collaboration across organizations.

The paper contributes empirically informed processual-learning dimensions to the literature on inter-organizational learning and university–industry collaboration.

The ranking of universities and other research-intensive institutions in global ranking systems is based on numerous indicators, including number of articles with external collaboration, number of articles with international collaboration, number of articles with industry collaboration as well as co-patents with industry. The purpose of this paper is to examine university–industry research collaboration in Ghana, with the aim of exploring the relationship between the research output collaborations in the top four universities in Ghana and industry across different geographical scales.

This study’s data was obtained from the SciVal database, which drawn its data from the Scopus bibliographic and citation database. The bibliographic and citation data were extracted using a search of the publications affiliated to the University of Ghana, for the period 2011–2020.

Key findings demonstrate a constant rise in the number of research publications by the selected universities over time. Research collaboration intensity in the selected universities in terms of co-authored publications was higher as compared to single-authored publications. University–industry research co-authorships were, however, lower when compared to university–university research co-authorships. The university–industry research co-authorships occurred mostly with Europe, Asia-Pacific and North American-based institutions as opposed to African-based institutions. In Ghana, four industry-based institutions were engaged in intensive research with the selected universities.

This study demonstrates that, for each selected university, it is possible to measure the performance of individual universities in both intra-regional and international collaboration. Such results may be useful in informing policy as well as merit-based public funding of universities in Ghana.

University-industry collaboration studies have placed greater emphasis on intrinsic motivators that drive academic researchers to pursue collaboration. This paper explores the relationship between spiritual motivation and collaboration intentions mediated the antecedents of university-level collaboration through theories of self-determination and planned behaviour. This study was conducted to validate the proposed relationship between spirituality and academic researchers in the field of engineering affiliated with higher educational institutions in India.

This study surveyed 242 participants and utilised structural equation modelling. Research has found that the beneficial relationship between spiritual motivation and collaboration intentions is mediated by attitudes and perceived behavioural control. This study represents a quantitative investigation within the realm of university-industry collaboration, which aims to document the ways in which spiritual motivation can augment collaboration with industry. The study employs self-determination theory and the theory of planned behaviour to elucidate the underlying mechanism to support entrepreneurial debate.

This study identified attitude and perceived behavioural control as mediators in the relationship between spiritual motivation and collaboration intentions.

The results of this study provide additional support for existing theories and present a diverse perspective on the intrinsic motivation of academic researchers to adopt UIC.

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

There is a lack of clarity about how lecturer collaboration in light of learning and (professional) development fits within the framework of a quality culture in higher education institutions (HEIs). More specifically, it is unclear how collaboration is present or stimulated in the organisational context, triggering working mechanisms leading to quality-related outcomes. Therefore, the purpose of this study is to relate HEIs' quality culture to lecturer collaboration.

This exploratory study relates institutions’ quality culture to lecturer collaboration via semi-structured interviews and document analysis at the institutional level in four Flemish HEIs.

The results demonstrate collaboration as a working mechanism driven by the institutional strategy. In this way, lecturers’ professional development (PD) is stimulated. The results also indicate that collaboration is present within lecturers’ PD: working together during or sharing experiences after PD initiatives is considered useful for quality teaching and learning.

Following the growing attention in research and practice to lecturer collaboration, this study incorporates lecturer collaboration in the framework of quality culture within HEIs.

The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.

The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.

The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.

This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.

Studies of inter-organizational relationships have traditionally overlooked the human resource management (HRM) field, with most research focusing on collaborations in the technical domain. This study endeavors to explore the impact of organizational human resources (HR) collaborations on HR innovativeness, drawing on theories about organizational learning capabilities to explain this connection. By analyzing the synergies arising from inter-organizational HR collaborations, this study aims to seek to shed light on the potential for HRM to contribute to organizational performance and foster innovation.

The study is based on a quantitative survey conducted among 326 Dutch companies. The survey aims to find out whether these companies collaborate with other organizations on HR-related issues, the extent to which they renew their HRM function, and whether they apply organizational learning practices. The data collected for the survey are analyzed using Hayes PROCESS macro to investigate mediation effects.

As per the study, HR collaboration results in innovation. The research suggests that collaborating with HR across different organizations significantly contributes to HR innovation. This relationship can be explained by the inter-organizational learning practices that organizations adopt. Therefore, when organizations collaborate with each other, they learn from each other, which enhances their learning capabilities and ultimately leads to HR innovation.

This study delves into the extent to which organizations collaborate on HR-related issues, which is a relatively new field. Moreover, it contributes to the research on the connection between inter-organizational relationships and innovation by showing how much of it is explained by organizational learning.