Identified criteria and sub-criteria based on the DC theoretical framework
| DC dimension | Criteria | Description | Sub-criteria | Sources |
|---|---|---|---|---|
| Sensing | Market Responsiveness (F13) | Ability to scan and interpret market signals and future EV demands | Trend identification (SF131): Ability to anticipate market trends in EV battery technology | Ren et al. (2024) |
| Policy sensitivity (SF132): Responsiveness to regulatory changes such as extended producer responsibility (EPR) and battery recycling mandates | ||||
| Technological Foresight (F14) | Capability to sense technological disruptions or emerging battery tech | Technology scouting (SF141): Mechanism to monitor evolving chemistries like solid-state/LFP | Cammarano et al. (2024) | |
| Patent portfolio analysis (SF142): Active tracking of innovation through IP | ||||
| Seizing | Resource Mobilisation (F15) | Ability to reconfigure and commit internal/external resources for green innovation | Green investment (SF151): Allocation of capital for eco-innovation | Jones et al. (2025) |
| Talent acquisition (SF152): Hiring and developing battery scientists and skilled labour | ||||
| Strategic Collaboration (F16) | Willingness to co-develop with OEMs or R&D partners to capture value | Determine enterprise boundaries (SF161): Deciding which battery technologies and processes to outsource and which to retain in-house, based on the firm's strategic needs for digital innovation. It enables the firm to quickly scale and adapt by working with suppliers where they provide the greatest value, while concentrating on internal efforts | Zhong et al. (2023) | |
| Knowledge sharing platforms (SF162): Structures that support learning across the supply chain | ||||
| Transforming capabilities | Organisational Learning (F17) | Continuous adaptation and learning for sustainable transformation | Learning orientation (SF171): Culture of experimentation and learning to adopt sustainable transformation | Mittal et al. (2024) |
| Post-implementation review (SF172): Mechanisms to learn from sustainability failures | ||||
| Process Reconfiguration (F18) | Re-engineering existing processes to align with sustainability goals | Digital transformation (SF181): Adoption of IoT/AI for battery performance and traceability | Naresh et al. (2024) | |
| Flexible manufacturing (SF182): Ability to shift processes to newer battery types or cleaner methods |
| DC dimension | Criteria | Description | Sub-criteria | Sources |
|---|---|---|---|---|
| Sensing | Market Responsiveness (F13) | Ability to scan and interpret market signals and future EV demands | Trend identification (SF131): Ability to anticipate market trends in EV battery technology | |
| Policy sensitivity (SF132): Responsiveness to regulatory changes such as extended producer responsibility (EPR) and battery recycling mandates | ||||
| Technological Foresight (F14) | Capability to sense technological disruptions or emerging battery tech | Technology scouting (SF141): Mechanism to monitor evolving chemistries like solid-state/LFP | ||
| Patent portfolio analysis (SF142): Active tracking of innovation through IP | ||||
| Seizing | Resource Mobilisation (F15) | Ability to reconfigure and commit internal/external resources for green innovation | Green investment (SF151): Allocation of capital for eco-innovation | |
| Talent acquisition (SF152): Hiring and developing battery scientists and skilled labour | ||||
| Strategic Collaboration (F16) | Willingness to co-develop with OEMs or R&D partners to capture value | Determine enterprise boundaries (SF161): Deciding which battery technologies and processes to outsource and which to retain in-house, based on the firm's strategic needs for digital innovation. It enables the firm to quickly scale and adapt by working with suppliers where they provide the greatest value, while concentrating on internal efforts | ||
| Knowledge sharing platforms (SF162): Structures that support learning across the supply chain | ||||
| Transforming capabilities | Organisational Learning (F17) | Continuous adaptation and learning for sustainable transformation | Learning orientation (SF171): Culture of experimentation and learning to adopt sustainable transformation | |
| Post-implementation review (SF172): Mechanisms to learn from sustainability failures | ||||
| Process Reconfiguration (F18) | Re-engineering existing processes to align with sustainability goals | Digital transformation (SF181): Adoption of IoT/AI for battery performance and traceability | ||
| Flexible manufacturing (SF182): Ability to shift processes to newer battery types or cleaner methods |
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