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Climate change, a complex global issue, has prompted a wide range of actors – from nations to tiny communities – to seek solutions to mitigate its consequences. The growing emphasis on collaborative governance has resulted in substantial research on the topic. This paper aims to address the existing research void by using a bibliometric approach to investigate the evolution of studies on collaborative governance in the context of climate change.

This study conducted a bibliometric mapping of research on collaborative governance on climate change issues from the first study presented in 2007 to the research conducted in 2023, using 222 articles derived from the Scopus database and Web of Science. Steps for comprehensive bibliometric literature mapping via the VOSviewer software.

The study includes a complete overview of significant themes, including the most cited research, contributions from authors, countries, and institutions, as well as network analysis including co-citation, bibliographic coupling, and co-occurrence. Notably, the study looks at which countries have made the most substantial contributions, with the United States dominating with 40 studies over the last decade. The analysis reveals that collaborative governance in climate change, emphasizing its importance as a tool for governments and communities to mitigate climate risks. This is consistent with research emphasizing the need for coordination across multiple players to accomplish effective climate adaptation. The paper focuses on nine diverse research clusters, including community engagement, urban governance, disaster response and economic implications.

This study is restricted to bibliometric analysis, which is conducted using sources from the Scopus and Web of Science databases. Future research is required to investigate the use of additional databases that offer a wider range of sources. In the interim, this investigation provides an overview of the concept of Collaborative Governance, which has the potential to serve as a strategy for the adaptation and resilience to climate change in global regions, cities and urban areas.

This study conducts a rigorous bibliometric review that improves our theoretical knowledge and practical use of collaborative governance in addressing climate change. It reveals innovative trends, research gaps and important recommendations for future studies, strengthening the strategic approach to collaborative climate action.

This study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.

This study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.

The study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.

This research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.

The empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.

This study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.

The agricultural supply chain is susceptible to disruptive geopolitical events. Therefore, agri-food firms must devise robust resilience strategies to hasten recovery and mitigate global food security effects. Hence, the central aim of this paper is to investigate how supply chains could leverage digital technologies to design resilience strategies to manage uncertainty stemming from the external environment disrupted by a geopolitical event. The context of the study is the African agri-food supply chain during the Russian invasion of Ukraine.

The authors employ strategic contingency and dynamic capabilities theory arguments to explore the scenario and conditions under which African agri-food firms could leverage digital technologies to formulate contingency strategies and devise mitigation countermeasures. Then, the authors used a multi-case-study analysis of 14 African firms of different sizes and tiers within three main agri-food sectors (i.e. livestock farming, food-crop and fisheries-aquaculture) to explore, interpret and present data and their findings.

Downstream firms (wholesalers and retailers) of the African agri-food supply chain are found to extensively use digital seizing and transforming capabilities to formulate worst-case assumptions amid geopolitical disruption, followed by proactive mitigation actions. These capabilities are mainly supported by advanced technologies such as blockchain and additive manufacturing. On the other hand, smaller upstream partners (SMEs, cooperatives and smallholders) are found to leverage less advanced technologies, such as mobile apps and cloud-based data analytics, to develop sensing capabilities necessary to formulate a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty and take mainly reactive mitigation strategies. Finally, the authors integrate their findings into a conceptual framework that advances the research agenda on managing supply chain uncertainty in vulnerable areas.

This study is the first that sought to understand the contextual conditions (supply chain characteristics and firm characteristics) under which companies in the African agri-food supply chain could leverage digital technologies to manage uncertainty. The study advances contingency and dynamic capability theories by providing a new way of interacting in one specific context. In practice, this study assists managers in developing suitable strategies to manage uncertainty during geopolitical disruptions.