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The aim of the study was to examine the role of collaborative approaches (productive collaboration, collaborative innovation and collaborative risk management) in disaster risk situations. Thus, the study focused on the effect of productive collaboration and collaborative innovation on collaborative risk management, and the effect of collaborative risk management and collaborative innovation on adaptability.

Data were collected from nongovernmental organizations (NGOs). The Covariance Based Structural Equation Modeling software was used to obtain results on the influence of productive collaboration and collaborative innovation on collaborative risk management, the influence of collaborative innovation on adaptability and the influence of collaborative risk management on adaptability.

Findings indicated that both productive collaboration and collaborative innovation influence collaborative risk management, and both collaborative innovation and collaborative risk management influence adaptability.

The study mainly focused on the NGOs eliminating the government, beneficiaries and other actors that may be involved in disaster risk situations. The research has implications to decision makers in government, NGOs and other actors concerned with disaster risk management.

Countries worldwide are focusing on collaborative innovation and productive collaboration in addition to collaborative risk management to respond to epidemics and natural disasters. Despite the relevance of the collaborative initiatives, empirical research explaining the relevance of the variables to adaptability of actors during epidemics or natural disasters is still lacking.

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.

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.

The integration of business processes across multiple companies can provide economic benefits, thus ensuring the sustainability of the involved companies. However these advantages are accompanied by many potential risks. For instance, emerging disruptions within a supply chain can spread over several partners resulting in economic losses. The purpose of this paper is to focus on the development of a collaborative cross-supply chain framework that reduces the extent of loss after the occurrence of unforeseen damaging events in sensitive logistics nodes.

To handle the impacts of unforeseen damaging events in sensitive logistics nodes, the focus of our approach lies on the implementation of a collaboratively applicable concept for sensitive logistics nodes that supports a rapid collaborative decision-making among the partners. Therefore, different damaging events as well as the logistics and transport processes in freight villages are determined and implemented in an agent-based simulation model.

Multi-agent simulation can be used for a scenario-based collaborative risk management in sensitive logistics nodes. By executing simulation experiments the impacts of selected damaging events can be analysed and used for the development of scenario specific strategies for the partners in sensitive logistics nodes with the objective to maintain the flow of goods after disturbances.

The paper proposes a multi-agent simulation, which can be used collaboratively in a cross-supply chain team to support decision-making processes in sensitive logistics nodes after a disruption has occurred. To get an effective and efficient tool, involved companies are included into the development and implementation processes.

The value of this paper lies in the approach of a multi-agent based simulation system that supports a collaborative risk management across different companies and different supply chains in sensitive logistics nodes.

The aim of this paper is to explore the value of collaborative risk management in a decentralised multi-tier global fresh produce supply chain.

This study utilised a mixed methods approach. A qualitative field study was conducted to examine the need for collaborative risk management. The simulation experiments with industry datasets were conducted to assess whether risk-sharing contracts work in mitigating joint risks in parts of and across the supply chain.

The qualitative field study revealed risk propagation and the inefficiency of company-specific risk management strategies in value delivery. The simulation results indicated that risk-sharing contracts can incentivise various actors to absorb interrelated risks for value creation.

The research is limited to risks relevant to supply chain processes in the Australia–China table grrape supply chain and does not consider product-related risks and the risk-taking behaviours of supply chain actors.

Collaborative risk management can be deployed to mitigate systematic risks that disrupt global fresh produce supply chains. The results offer evidence-based knowledge to supply chain professionals in understanding the value of collaborative risk assessment and management and provide insights on how to conduct collaborative risk management for effective risk management.

The results contribute to the supply chain risk management literature by new collaborative forms for effective risk management and strategic competition of “supply chain to supply chain” in multi-tier food supply chains.

The purpose of this paper is to identify and analyse collaborative risk management (CRM) literature to establish its current position in supply chain risk management (SCRM) and propose an agenda for future research.

A systematic literature review of 101 peer-reviewed articles over a 21-year period was employed to analyse literature and synthesise findings to clarify terminology, definitions, CRM capabilities, and underlying theory.

CRM as a field of research is in its infancy and suffers from imprecise definitions, fragmented application of capabilities, and diverse theoretical foundations. The term CRM is identified as a more representative description of relational risk management arrangements. Six capabilities relevant to CRM are identified: risk information sharing, standardisation of procedures, joint decision making, risk and benefit sharing, process integration, and collaborative performance systems.

The paper provides a new definition for CRM; proposes a holistic approach in extending collaboration to SCRM; identifies a new capability; and provides a range of theories to broaden the theoretical scope for future research on CRM.

The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review.

A critical review of 91 scholarly journal articles published between 2000 and 2018 supports the development of an integrated conceptual framework.

The findings emphasize that supply chain integration (SCI) can have both a positive and negative impact on the effectiveness of risk management in supply networks. It is possible to have a positive effect when SCI can be used to develop competencies in joint risk planning within the organization and with wider supply network members and, in turn, to develop collaborative risk management capabilities. Supply network characteristics can influence whether and the extent to which SCI has a positive or negative impact on risk management effectiveness.

The conceptual framework can be used to empirically assess the role of SCI for effective risk management. Dynamic evaluation of the effectiveness of risk management and potential redesign of the supply network by considering other contingent factors are some future research avenues.

There is a need for developing specific competencies in risk planning within organizations and joint risk planning with supply network members which, in turn, can help develop collaborative risk management capabilities to improve the effectiveness of risk management in supply networks. Network characteristics will influence whether and the extent to which SCI results in the effectiveness of risk management.

Moving beyond recent (systematic) reviews on supply chain risk management, this study develops a novel conceptual framework interlinking SCI and the effectiveness of risk management while considering network characteristics.

Based on experience from the UK construction industry, this paper aims to capture the dimensions of the collaborative ethos required for successful implementation of Joint Risk Management, i.e. the cooperative and dynamic risk management approach that continues into the post-contract stage and is jointly undertaken by different project stakeholders.

A mixed methods research approach involving semi-structured interviews and a questionnaire survey was adopted to provide the basis for the statistical analysis encompassing descriptive statistics, non-parametric tests and exploratory factor analysis.

The analysis highlights the critical role of team integration achieved through the diffusion of collaborative values at strategic and practical level. Relevant applications include early stakeholder engagement, common goals and interests, team building activities and contractual flexibility.

This research is beneficial for the industry and academia as it enhances the understanding of an under-utilised management tool and highlights the requirements for its successful implementation.

The purpose of this paper is to identify the current problems and difficulties in automotive project management and explore solutions to improve its efficiency and effectiveness. To meet the industry demands for new project management methods, a strategy‐based scorecard concept was developed to monitor and control collaborative projects, to measure their performance, and to manage risks. The method aims to improve the project management performance of cross‐company projects.

The development of collaborative strategy maps and integrated measures for project control based on key performance indicators (KPIs) is an essential step for successful project management with a collaborative project scorecard. The concept was developed and evaluated on the basis of two workshops organised by the German Project Management Association (GPM e.V.) and interviews with project managers of automotive projects (manufacturers and suppliers).

The application of a balanced scorecard to cross‐company projects in the automotive industry can be facilitated by an impact matrix to develop strategy maps. Examples of collaborative strategy maps, project objectives, and KPIs to manage automotive projects are given and advantages, disadvantages, and limitations discussed. The paper discusses the possibilities of improving project management efficiency and effectiveness, as well as increasing project transparency with a CPS.

This paper fulfils the need to align collaborative project objectives with cross‐company business strategies in the automotive industry. The application of a balanced scorecard to cross‐company projects in the automotive industry is a new approach and would be of interest to all project managers aiming to increase transparency in their projects.

This research addresses the lack of project management research into social procurement by exploring the risks and opportunities of social procurement from a cross-sector collaboration perspective.

A content analysis of five focus groups conducted with thirty-five stakeholders involved in the implementation of a unique social procurement initiative on a major Australian construction project is reported.

Results show little collective understanding among project stakeholders for what social procurement policies can achieve, a focus on downside risk rather than upside opportunity and perceptions of distributive injustice about the way new social procurement risks are being managed. Also highlighted is the tension between the collaborative intent of social procurement requirements and the dynamic, fragmented and temporary project-based construction industry into which they are being introduced. Ironically, this can lead to opportunistic behaviours to the detriment of the vulnerable people these policies are meant to help.

The paper concludes by presenting a new conceptual framework of project risk and opportunity management from a social procurement perspective. Deficiencies in the Project Management Body of Knowledge (PMBOK) are also highlighted around an expanded project management role in meeting these new project management requirements.

Social procurement is becoming increasingly popular in many countries as a collaborative mechanism to ensure construction and infrastructure projects contribute positively to the communities in which they are built. This research addresses the lack of project management research into social procurement by exploring the risks and opportunities of social procurement from a cross-sector collaboration perspective.