- Title
- Collaborative risk management and supply chain resilience
- Creator
- Friday, Derek
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2018
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- Collaborative approaches to supply chain risk management potentially increase supply chain resilience in the face of increasingly global and volatile business environments. For firms in developing countries, supply chain collaboration and risk management present special challenges, especially as they enter global supply chain networks. While these firms benefit from knowledge and technology transfer, they are vulnerable to frequent and intense global risks and disruptions among other dependence risks. Supply chain resilience is basic to survival for these firms. However, current collaborative approaches are fragmented and rely on individual firm level actions. Based on a systematic literature review, the research develops a collaborative risk management framework with five collaborative capabilities: risk information sharing; joint decision-making; risk and benefit sharing; process integration; and collaborative performance systems. In the contexts of Australia (a developed economy) and Uganda (a developing economy), and through the lens of Relational View Theory, the aim of the research was to test the framework and its ability to explain supply chain resilience. A cross sectional survey of risk managers from 292 supply chain firms in Australia (44) and Uganda (252) was undertaken. Using Smart-PLS software, data was analysed to establish the predictive power of collaborative risk management, together and for each of the five capabilities, on supply chain resilience. Additional consideration was given to the mediating effects from relational factors and supply chain complexity and the moderating effects from supply chain uncertainty and institutional environments (country differences). The results confirm the significant and positive relationship between the collaborative risk management capabilities and resilience, in particular they indicate the greater effect on resilience when all five capabilities are used concurrently. Among the five factors, an Importance-Performance Matrix Analysis showed process integration has the greatest positive impact on resilience. Both relational factors and supply chain complexity are confirmed mediators, and institutional factors are a moderator. However, supply chain uncertainty was not confirmed as a moderator of the relationship between collaborative risk management and resilience. Using a Multi Group Analysis, the results suggest differences between Australian and Ugandan risk managers in relation to information sharing, joint decision making, collaborative performance systems, and responsiveness. These differences arise from national institutional factors particularly contrasting levels of legal regulation and enforcement, technology advancement and cultural perspectives typical of developing and developed nations. The research contributes to the theory and practice of supply chain risk management through proposing a shift away from fragmented and idiosyncratic firm level risk management to a comprehensive collaborative risk management strategy that streamlines risk management practices across entire supply chains to increase overall supply chain resilience. From a practice perspective, the findings on the relative contributions of strategic CRM capabilities can guide decision making on priority practices for optimising inter-firm relationships. The research opens up new questions about collaborative risk approaches in digitalised environments as well as the theoretical and practical challenges to building resilience among supply chains in developing countries.
- Subject
- collaborative risk management; supply chain resilience; supply chain complexity; supply chain uncertainty; relational factors; relational view theory; supply chain risk management
- Identifier
- http://hdl.handle.net/1959.13/1394368
- Identifier
- uon:33690
- Rights
- Copyright 2018 Derek Friday
- Language
- eng
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 3 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 384 KB | Adobe Acrobat PDF | View Details Download |