TSNs and climate change: a proposed research agenda
| Thematic axis | Climate challenges | Potential research questions | Suggested methodologies |
|---|---|---|---|
| (Re)configuration of TSNs | Natural disasters; supply chain disruptions | How are TSNs activated, reconfigured, and demobilized in response to extreme climate events? Which actors play central roles, and how do interorganizational connections evolve? What factors facilitate or hinder the rapid adaptation of networks during crises? | Multiple case studies could be applied to map the activation, reconfiguration, and demobilization of TSNs. Social network analysis (SNA) could be used to capture the evolution of ties and actor centrality over time. Longitudinal studies in crisis contexts would be valuable for observing real-time decision-making |
| Governance and coordination | Supply chain disruptions; production transitions | How can effective governance mechanisms be developed to address climate crises? What role do norms, rules, and local leadership play in the joint operation of transitions? | Comparative case studies would be valuable for identifying effective governance configurations. Systematic documentary analysis of protocols, emergency contracts, and institutional guidelines would also be appropriate for examining governance mechanisms. Experiments could be designed to test governance mechanisms across different contexts |
| Dynamic capabilities and innovation | Natural disasters; development of new sustainable processes | How do TSNs develop dynamic capabilities to improvise solutions in real time? What types of innovation emerge during extreme events? What role does experimentation in temporary laboratories play in addressing climate challenges? How do rapid learning and local knowledge strengthen the development of dynamic capabilities in TSNs? | Comparative case studies across distinct extreme events could be developed to identify which dynamic capabilities are developed in TSNs and how. Field experiments or quasi-experiments could test emerging solutions and innovations. Ethnographies would be useful for capturing decision-making and experimentation processes under pressure in real time. Action research would be relevant for investigating how local knowledge can be incorporated into TSNs |
| Organizational learning and legacy | Production transitions; sustainable processes; regeneration of natural systems | How can knowledge generated within TSNs be captured and transferred to more enduring arrangements? What long-term impacts do TSNs have on public policy and organizational practices? How can local and traditional knowledge, including Indigenous knowledge, be integrated into the learning and the restoration of natural systems? | Longitudinal studies would be relevant for capturing knowledge-transfer mechanisms and for identifying the impacts of TSNs on public policy and organizational practices. Participatory methodologies would be appropriate for integrating local and Indigenous knowledge into the restoration of natural systems |
| Thematic axis | Climate challenges | Potential research questions | Suggested methodologies |
|---|---|---|---|
| (Re)configuration of TSNs | Natural disasters; supply chain disruptions | How are TSNs activated, reconfigured, and demobilized in response to extreme climate events? Which actors play central roles, and how do interorganizational connections evolve? What factors facilitate or hinder the rapid adaptation of networks during crises? | Multiple case studies could be applied to map the activation, reconfiguration, and demobilization of TSNs. Social network analysis (SNA) could be used to capture the evolution of ties and actor centrality over time. Longitudinal studies in crisis contexts would be valuable for observing real-time decision-making |
| Governance and coordination | Supply chain disruptions; production transitions | How can effective governance mechanisms be developed to address climate crises? What role do norms, rules, and local leadership play in the joint operation of transitions? | Comparative case studies would be valuable for identifying effective governance configurations. Systematic documentary analysis of protocols, emergency contracts, and institutional guidelines would also be appropriate for examining governance mechanisms. Experiments could be designed to test governance mechanisms across different contexts |
| Dynamic capabilities and innovation | Natural disasters; development of new sustainable processes | How do TSNs develop dynamic capabilities to improvise solutions in real time? What types of innovation emerge during extreme events? What role does experimentation in temporary laboratories play in addressing climate challenges? How do rapid learning and local knowledge strengthen the development of dynamic capabilities in TSNs? | Comparative case studies across distinct extreme events could be developed to identify which dynamic capabilities are developed in TSNs and how. Field experiments or quasi-experiments could test emerging solutions and innovations. Ethnographies would be useful for capturing decision-making and experimentation processes under pressure in real time. Action research would be relevant for investigating how local knowledge can be incorporated into TSNs |
| Organizational learning and legacy | Production transitions; sustainable processes; regeneration of natural systems | How can knowledge generated within TSNs be captured and transferred to more enduring arrangements? What long-term impacts do TSNs have on public policy and organizational practices? How can local and traditional knowledge, including Indigenous knowledge, be integrated into the learning and the restoration of natural systems? | Longitudinal studies would be relevant for capturing knowledge-transfer mechanisms and for identifying the impacts of TSNs on public policy and organizational practices. Participatory methodologies would be appropriate for integrating local and Indigenous knowledge into the restoration of natural systems |
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