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Many firms engage in co-opetitive projects during which they have simultaneously competitive and collaborative relationships with many rivals in a complex network. A co-opetitive network offers them access to a large volume of resources and knowledge, for example, to support new markets and/or territories. So, does the network grow with the scope of the co-opetition project? The paper aims to discuss this issue.

An empirical study of 106 French boating intermediate-sized enterprises (ETIs) and small and medium enterprises provides a descriptive and explanatory analysis of co-opetitive networks.

The results support this definition of a complex co-opetitive network only when the objectives of a firm are part of the geographical expansion of its activities. In contrast, these relations remain simple (dyadic) when a firm favours a strategy of diversifying its activities while maintaining its unique local geographical market.

First, the work is based on a quantitative methodology, so is static. It would be interesting to analyze the process of the building of co-opetitive relationships and opportunism between rival firms, for example, through a qualitative study. Second, this work focusses on boating companies in France. It may be appropriate to consider the sanctions placed on the opportunism of foreign firms in co-opetition. Third, future work could increase understanding, not only of the nature of reprisals inflicted on individualistic co-opetitors, but also on the structure, objectives and results of these reprisals.

The study deepens our knowledge of the definition, composition and determinants of co-opetitive networks.

The purpose of this paper is to examine how a performance measurement system (PMS) can be designed for a collaborative network and to identify which factors affect such a design.

This is a single-case study of a collaborative network. The data have been collected from semi-structured interviews conducted during 2008-2009 and after the design process in 2010 and 2012, respectively.

The research results present a five-step process model for designing a PMS for a collaborative network. The findings show that a participatory development style that enhances socialisation, the positive development of a network culture and an outside facilitator all have beneficial effects on the design process.

The practical contribution of this study is related to knowledge about the PMS design process for a collaborative network to support its measurement-related development projects. This knowledge involves the phases of such a process as well as the various factors supporting or hindering it.

The study presents a PMS design process for the case network, which can be utilised in other collaborative networks in a similar context. It also highlights the most essential practical experiences related to this process.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

Knowledge transfer (KT) has been attracting significant attention from the scientific community. The need to establish collaborative network relationships to achieve effective KT has led to a large volume of studies that attempt to identify how collaborative networks influence KT processes. However, papers, which link KT and networks have not been systematised. This study aims to provide an overview of this academic field and sets an agenda for future research.

The authors followed the preferred reporting items for systematic reviews and meta-analyses method to conduct a systematic review of the literature published in 2000–2020. The authors sourced the sample from the Web of Science and Scopus databases. The authors screened the references under the management and business categories that were published in the first two quartiles of the Journal Citation Report. This search returned 190 impactful papers across the 53 journals that were analysed.

The authors present the main results in two sections. First, this paper elaborates a conceptual model of the field; second, the authors review KT between firms and other agents, which allows us to identify KT flows within and between companies, universities and public institutions.

This paper provides the first systematic review of collaborative networks and KT. Five areas of action are identified for future research and are specified in several research questions. The authors also provide several practical implications. In a world in which more and more dynamic agents coexist, it is important to be aware of the needs of organisations that create and disseminate specific knowledge.

Partners' knowledge is an essential source of knowledge for organizations in the collaborative innovation. Exploratory innovation is an innovation strategy that is significant to the organization and is characterized by learning and absorbing new knowledge for new products and technology. The purpose of this study is to investigate the impact of partners' knowledge utilization on exploratory innovation and to analyze further the moderating effect of previous competitive and collaborative relationships between organizations on the above relationships.

In this study, the patent data of 1,636 organizations in the nano-biopharmaceutical field collaboratively from 1998 to 2020 are used as a sample. The knowledge networks and collaboration networks are constructed through the patent data. A negative binomial regression method is used to conduct the empirical study.

The results indicate that partners' knowledge utilization has an inverted U-shaped effect on exploratory innovation. The competitive relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the left. The collaborative relationship steepens the inverted U-shape effect of partners' knowledge utilization on exploratory innovation and makes the turning point to the right.

This study is the first to examine the impact of partners' knowledge utilization on exploratory innovation and to explore the role of the competitive and collaborative relationships between organizations. It extends current research in organizational innovation and knowledge management by providing insight into partners' knowledge utilization.

Within New Zealand, cultural festivals play a vital role in the local representation of diasporic cultures. By analysing the production design of festivals, in Auckland, New Zealand representing Indian culture between 1995 and 2015, the purpose of this paper is to create a deeper understanding of collaborative networks and power relationships. Using Richard’s pulsar/iterative network theory and Booth’s notion of cultural production networks, a new theoretical model is proposed to visually track the collaborative networks that sustain and bridge cultures, empower communities and fulfil political agendas.

This ethnographic research draws upon event management studies, industry practice, ethnomusicology and sociology to take a multi-disciplinary approach to an applied research project. Using Richards’ pulsar and iterative event framework Castells’ network theory, combined with qualitative data, this research considers critical collaborative relationships clusters and how they might impact on the temporal nature of festivals.

The 1997 Festival of Asia and the subsequent Lantern Festival in 2000 and Diwali: Festival of Lights in 2002 were pulsar events that played a significant role in collaborative networks that expand across cultures, countries and traditions. The subsequent iterative events have played a vital role in the representation of Asian cultural identity in general and, more specifically, representing of the city’s growing – in both size and cultural diversity – Indian diaspora.

This research proposes a new conceptual model on festival management and diasporic communities in the Asia-Pacific region. Richards’ and Booth’s conceptual models are used, as a starting point, to offer a new way of considering the importance of looking at collaborative relationships through historical perspectives. The framework explored contributes a new approach to cultural festival network theory and a means to understand the complexity of networks required that engage actors from inside and outside both local and global communities.

This paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market.

The present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio.

From the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”.

The proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.

This study aims to explore the influence of the strength of ties (strong ties and weak ties) on contractual flexibility (term flexibility and process flexibility) and relationship quality among stakeholders in a megaproject network.

This study, via a questionnaire survey, collected 380 valid responses from megaproject professionals (including project managers, department managers and project engineers). The data were analyzed using least squares structural equation modeling.

The results show that both strong ties and weak ties have positive effects on relationship quality. The introduction of contractual flexibility can help improve relationship quality by combining the positive effects of the strength of ties. Interestingly, the indirect influence of strong ties on relationship quality is mainly due to term flexibility. However, the influence of process flexibility is not significant, while weak ties have an indirect influence through term flexibility and process flexibility.

This study, while helpful to megaproject management both in theory and practice, is nevertheless subject to several limitations. First, this study only considers the impact of the strength of ties on contractual flexibility and relationship quality; other factors, such as environmental uncertainty, are not explored. Second, the sample data are limited to just a few regions of China. Future research should cover other influencing factors, in order to make the model more substantial; data should also be collected from different cultural and industrial sources, thereby extending and further verifying the results.

This study makes three contributions to extant megaproject literature. First, this study provides a deep and nuanced understanding of the strength of ties. With the distinction between strong ties and weak ties clearly explained, this research furnishes a subtler understanding of relationship governance than has previously been achieved. Second, by precisely identifying the mechanism of how contract flexibility improves contract control and coordination functions, this research offers a complementary view of how contractual flexibility positively contributes to cooperation and relationship quality. Third, this study identifies which dimension of the strength of ties is more influential. This brings a new explanation for the previous controversy and offers some insight into the determinants of how to improve relationship quality in Chinese megaprojects.

This paper aims to determine whether a combined set of process models for university contributions to social innovation can be effectively used to describe how higher education institutions facilitate and disseminate research for social value.

The author applies Cunha and Benneworth’s (2013) social innovation process model, with additions from the Nichols et al. (2013) model of campus-community collaboration and the Jain et al. (2020) social value framework, to a pair of case studies at Portland State University about research projects on homelessness. Information was gathered through primary sources, observation and secondary texts.

Applying the models to the case studies provides additional detail on the types and value of Portland State University’s contributions to addressing homelessness through social innovation. The models are found to be effective in describing and providing guidance for social innovation research projects at other higher education institutions.

The models may have widespread applicability in understanding or designing university contributions to social innovation, but additional case studies and analysis are needed to understand the full range of project types and institutional contexts to which they can be successfully applied.

The projects described in the paper’s case studies have not been analyzed elsewhere using social innovation frameworks and are valuable in their own right as social innovations worthy of replication. The findings of the paper extend the applicability of a process model for university contributions to social innovation.

Previous research focused on open innovation (OI) suggests that enterprises benefit from adopting the journey; however, the relationship among OI, marketing journey and knowledge-intensive innovation marketing activities (KIIMA) remains unclear. The present study proposes a conceptual model of the marketing journey linking heterogeneous modes of marketing collaboration to knowledge-intensive activities.

The conceptual model was tested via ordinary least squares (OLS) linear regression based on a sample of data drawn from the Eurostat database.

The results indicate that strategies are a robust proxy for evaluating KIIMA, and partnerships, heterogeneous sources of knowledge and different marketing modes for collaboration among European knowledge-intensive firms are core antecedents of KIIMA, such as new-product development and marketing innovation, as well as firms' sustainable competitive advantage.

This study fills the gap by tracking the role of the journey within marketing collaborations on KIIMA, and it intervenes in the debate about interactive marketing innovation mechanisms. The study contributes to OI, knowledge management and the marketing literature by identifying the heterogeneous modes for marketing collaborations under which the marketing journey enhances knowledge-intensive activities such as those for marketing innovation.