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From the dynamic capability perspective, the aim of this paper is to develop a conceptual framework for collaborative capability, including scanning, relational skills and adaptation and to test the impact of each dimension on the acquisition of technological and marketing knowledge from partners. The conceptual framework also suggests that these two types of knowledge acquisition have different impacts on new product development (NPD) creativity and speed.

This study builds a theoretical framework and tests it with survey data from 289 Chinese manufacturing firms.

Firms with strong collaborative capability are identified to gain better knowledge acquisition from their partners and achieve higher NPD performance. While acquired technological knowledge has a greater effect on NPD creativity than acquired marketing knowledge, the latter has a greater effect on NPD speed. In addition, these two types of knowledge acquisition form different mediating paths between collaborative capability and NPD performance.

This study not only underlines the important role of collaborative capability in facilitating knowledge acquisition, which in turn improves NPD performance, but also suggests that decision-makers should note the different roles of technological knowledge and market knowledge in influencing NPD performance.

These findings enrich the understanding of how firms enhance NPD performance by developing collaborative capability in a major emerging economy (i.e. China). In addition to demonstrating the differential effects of heterogeneous knowledge acquisition on NPD performance, different pathways of mediation through knowledge acquisition are also identified in the relationship between collaborative capability and NPD outcomes.

With the advent of the resource-based and dynamic capabilities views of the firm, researchers of collaborative relationships have raised the question as to whether superior management of such relationships does indeed explain observed differences in collaborative performance of individual firms. While most research to-date has concentrated on antecedents and development of such management capabilities, in this chapter we propose a comprehensive construct aimed at capturing what constitutes collaborative capability. Results of an exploratory field study of vertical relationships in the software service sector suggest that collaborative capability consists of structural, cognitive, and affective dimensions. Based on our findings, we believe that the three dimensions of collaborative capability act as complements rather than substitutes, and that superior collaborative performance depends on a proper balance of the three dimensions.

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.

Manufacturers increasingly resort to digital transformation to shape their competitiveness in the digital economy era, while supply chain (SC) collaborative innovation helps them cope with market uncertainties. However, whether and how digital transformation can facilitate SC collaborative innovation remain unclear. To address this gap, we aims to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

We use partial least squares-structural equation modelling (PLS-SEM) with a sample of 210 Chinese manufacturers to investigate the effects of digital transformation (strategy and capability) on SC collaborative (process and product) innovation and market performance.

The results show that digital strategy and capability positively impact SC collaborative process and product innovation, which enhances market performance. In addition, SC collaborative innovation mediates the relationship between digital transformation and market performance.

This study contributes to the literature by identifying how digital transformation drives SC collaborative innovation towards improving market performance and providing practical guidance for enterprises in promoting digital transformation and SC collaborative innovation.

Effective management of risk and knowledge is critical to ensure the success of industry–university collaboration (IUC) projects. However, the intricate dynamics through which these factors influence the performance of IUC projects have yet to be fully investigated. The purpose of this study is to explore the interplay between risk management and knowledge management capabilities and their impact on IUC project performance.

A model was constructed and evaluated through the examination of a sample of 188 collaborative innovation projects located in the United Arab Emirates (UAE), utilizing structural equation models (SEM) and hierarchical regression analysis.

The findings indicate that social system risk, technical system risk and project management risk have a negative impact on the performance of university–industry collaboration (UIC) projects, while cultural, technical and structural knowledge management capabilities can mitigate the negative impact of these risks on the performance of IUC projects.

The study concludes with three recommendations aimed at improving the management of UIC projects, including the establishment of a distinct and precise management strategy, the deployment of a comprehensive and systematized management methodology and the adoption of a balanced management framework.

The originality and value of this study lie in its exploration of the interplay between risk management and knowledge management capabilities in IUC projects. While previous studies have examined either risk management or knowledge management in IUC projects separately, this study provides a comprehensive analysis of both factors and their combined impact on project performance. The study also contributes to the literature by highlighting the specific risks and knowledge management capabilities that are most relevant to the context of IUC projects in the UAE. The practical recommendations offered by the study can help project managers and stakeholders to improve the success of collaborative innovation projects.

Despite over 30 years of focus on supply chain collaboration, companies continue to struggle to achieve collaborative advantage. To better understand why some companies are able to collaborate for competitive advantage and others can't, the authors explore how managerial commitment enables collaborative capabilities.

The authors employed a longitudinal inductive study, interviewing companies with reputations for intense supply chain collaboration at four different times over 20 years.

The authors identified managerial commitment as a super-ordinate enabler. They describe the dynamics of commitment development and explore three types of commitment: instrumental, normative and transformative. The authors document key antecedents and outcomes of each type of commitment.

Theory regarding the antecedents to commitment to collaborative capability is underdeveloped. The authors elaborate these antecedents and the dynamics that enable or undermine the commitment necessary to build effective collaboration capabilities.

The authors provide insight (i.e. a practical and actionable roadmap) into the process companies use to cultivate commitment to collaboration and value co-creation.

Collaboration is critical to value co-creation, including effective supply chain risk mitigation and lasting sustainability efforts. The authors elaborate a theory of commitment dynamics that explains why most companies never go beyond basic levels of collaboration. At the same time, the authors provide a roadmap for deep, transformative collaboration.

The purpose of this paper is to add to the existing knowledge about how firm performance is influenced by their involvement in collaborative innovation. The contextual resource-based dimensions improve the participating firm’s performance through its impact on the job-related attitudes of the firm’s personnel.

Hypotheses were tested using structural equation model to analyze a set of data collected through surveys among a sample of Colombian manufacturers.

This study provides empirical evidence that contributes to the scarce research in the open innovation arena about how human resources influence performance in the inter-organizational collaborative innovations. In particular, it offers strong support for the key mediating role of the employees’ job-related attitudes in the relationship between complementary capabilities and innovation culture as value-creating conditions, and the participating firm’s ultimate sales and financial performance.

The results may be affected by the context of the data set. Further studies considering the influence of specific contextual variables, such as the type of innovation, the national culture or the type of partner, could yield richer insights that would help validate the results of this study.

This study provides useful information for managers. As well as creating the required conditions to add value in the collaborative innovation, they should work to guarantee the better job-related outcomes for the employees involved in collaborative innovation projects.

This research contributes to the open innovation literature. It posits the employee’s attitudes toward collaborative innovations as a factor of the utmost importance in determining how the external collaboration affects internal performance.

Inventory management systems in health-care supply chains (HCSC) have been pushed to breaking point by the COVID-19 pandemic. Unanticipated demand shocks due to stockpiling of medical supplies caused stockouts, and the stockouts triggered systematic supply chain (SC) disruptions inconceivable for risk managers working individually with limited information about the pandemic. The purpose of this paper is to respond to calls from the United Nations (UN) and World Health Organization (WHO) for coordinated global action by proposing a research agenda based on a review of current knowledge and knowledge gaps on the role of collaboration in HCSCs in maintaining optimal stock levels and reinforcing resilience against stockout disruptions during pandemics.

A systematic review was conducted, and a total of 752 articles were analyzed.

Collaborative planning, forecasting and replenishment practices are under-researched in the HCSC literature. Similarly, a fragmented application of extant SC collaborative risk management capabilities undermines efforts to enhance resilience against systematic disruptions from medical stockouts. The paucity of HCSC articles in humanitarian logistics and SC journals indicates a need for more research interlinking two interdependent yet critical fields in responding to pandemics.

Although based on an exhaustive search of academic articles addressing HCSCs, there is a possibility of having overlooked other studies due to search variations in language controls, differences in publication cycle time and database search engines.

The paper relies on COVID-19's uniqueness to highlight the limitations in optimization and individualistic approaches to managing medical inventory and stockout risks in HCSCs. The paper proposes a shift from a fragmented to holistic application of relevant collaboration practices and capabilities to enhance the resilience of HCSCs against stockout ripple effects during future pandemics. The study propositions and suggestion for an SC learning curve provide an interdisciplinary research agenda to trigger early preparation of a coordinated HCSC and humanitarian logistics response to future pandemics.

To further extend the understanding of the aggregating functions of an entrepreneurial business network, this paper attempts to explore the antecedents enabling the organisation of diverse entrepreneurs to engage in a collaborative inter-firm business network project. This paper also elucidates the development of the relational capabilities and performance of entrepreneurial business networks.

An explorative, longitudinal case study design is employed to analyse an Italian agricultural business network, which comprised a group of local small- and medium-sized enterprises (SMEs). Using the network as the focus of analysis, the case study draws insights from key informants comprising the network management team and the entrepreneurs who make up the membership of the business network.

The results of the study provide critical factors for successful organisation of inter-firm engagement. Although these factors are not mutually exclusive, the results show that organising for inter-firm engagement in an entrepreneurial business network context positively influenced the network relational performance and entrepreneurs' innovation capabilities.

The paper extends current understanding of inter-organisational engagement and illuminates the antecedents enabling the development of network relational dynamics capabilities. The empirical results provide unusual insights into the aggregating roles of an entrepreneurial business network, giving practitioners practical insights into managing a successful inter-organisational collaborative project. Using the relevant theoretical frameworks, the study empirically tests the organisation solutions relevant to literature on inter-firm engagement in a business network context and addresses the organisation solutions' interrelationship and linkages to entrepreneurial network relational performance in terms of knowledge practice, information and resources sharing and innovation.

The purpose of this study is to investigate the influence mechanisms of multi-level ecological participants on technological innovation capabilities within the focal small and mid-size enterprises' (SME) innovation ecosystem. The author examines the moderating role of the innovation ecological environment.

With the lenses of innovation ecosystem theory, technological innovation theory and ecological theory, the author constructs and empirically tests a conceptual framework for exploring the effects of the focal SME's connections with universities and research institutions, and the industrial chain and ecosphere on their independent and collaborative innovation capabilities. The innovation ecological environment is employed as a moderating variable in the proposed model. The author issued email questionnaires to managers at innovative SMEs in Shenzhen, Shanghai and Jiangsu provinces. The data were used for multiple regression analyses to test the hypotheses.

As predicted, the author found that SMEs’ cooperation with universities and research institutions positively affects independent and collaborative innovation capability. The relationships between the industrial chain, the ecosphere and independent and collaborative innovation capabilities are all inverted U-shaped. Additionally, the author demonstrates that the innovation ecological environment positively moderates relationships between the focal SME's ecological participants and these two types of technological innovation capabilities.

The results enrich research on innovation ecosystems and technological innovation capability and provide important managerial implications for Chinese SMEs to enhance their technological innovation capability by constructing and coordinating innovation ecosystems. It also allows China, as well as other developing countries, to cultivate world-class enterprises as an innovative nation.