Items included in the measurement model (questionnaire)
| Items included in the questionnaire | Source(s) |
|---|---|
| Regenerative innovation ecosystem (RIE) | |
| AI improves cross-disciplinary collaboration in our creative projects | Yadav and Yadav (2024), Konietzko et al. (2023), Drupsteen and Wakkee (2024) |
| AI-driven tools have led to sustainability-focused redesigns in our business processes | |
| AI enables us to identify and access new market opportunities in creative industries | |
| AI supports the seamless integration of sustainable practices into our creative workflows | |
| AI-driven resource optimization (ARO) | |
| AI optimizes material and resource use in our creative projects | Tutore et al. (2024), Kar et al. (2022), Kulkov et al. (2023) |
| AI-driven predictive maintenance reduces unplanned downtime and enhances creative operational efficiency | |
| Our supply chains for creative production have become more efficient through AI-powered optimization | |
| AI-based systems actively contribute to waste minimization in our creative processes | |
| AI-enhanced environmental sustainability (AES) | |
| AI systems help reduce energy consumption in our creative production processes | Alzoubi and Mishra (2024), de Andreis et al. (2024) |
| AI has improved water management efficiency in our creative operations | |
| Our AI systems are fundamental in minimizing environmental waste across our creative projects | |
| Having real-time data from AI helps lower our creative projects' environmental footprint | |
| Self-learning and adaptability of AI-enabled creative business models (SLA) | |
| Our AI systems autonomously adapt to new challenges in creative projects | Anantrasirichai and Bull (2022), Drupsteen and Wakkee (2024) |
| AI tools are designed for self-learning and continuous improvement based on feedback from creative projects | |
| Our AI-driven creative business models evolve independently without manual intervention | |
| AI technologies in our organization self-adjust and repair in response to unforeseen creative workflow issues | |
| Stakeholder collaboration and co-creation (SCC) | |
| AI tools strengthen collaboration with stakeholders across creative industries | Bujor and Avasilcai (2023), Hsu et al. (2023) |
| We use AI tools to co-create innovative products and services with external partners | |
| AI improves resource and data sharing with our creative collaborators | |
| AI enhances stakeholder engagement quality throughout all stages of our creative projects | |
| Items included in the questionnaire | Source(s) |
|---|---|
| AI improves cross-disciplinary collaboration in our creative projects | |
| AI-driven tools have led to sustainability-focused redesigns in our business processes | |
| AI enables us to identify and access new market opportunities in creative industries | |
| AI supports the seamless integration of sustainable practices into our creative workflows | |
| AI optimizes material and resource use in our creative projects | |
| AI-driven predictive maintenance reduces unplanned downtime and enhances creative operational efficiency | |
| Our supply chains for creative production have become more efficient through AI-powered optimization | |
| AI-based systems actively contribute to waste minimization in our creative processes | |
| AI systems help reduce energy consumption in our creative production processes | |
| AI has improved water management efficiency in our creative operations | |
| Our AI systems are fundamental in minimizing environmental waste across our creative projects | |
| Having real-time data from AI helps lower our creative projects' environmental footprint | |
| Our AI systems autonomously adapt to new challenges in creative projects | |
| AI tools are designed for self-learning and continuous improvement based on feedback from creative projects | |
| Our AI-driven creative business models evolve independently without manual intervention | |
| AI technologies in our organization self-adjust and repair in response to unforeseen creative workflow issues | |
| AI tools strengthen collaboration with stakeholders across creative industries | |
| We use AI tools to co-create innovative products and services with external partners | |
| AI improves resource and data sharing with our creative collaborators | |
| AI enhances stakeholder engagement quality throughout all stages of our creative projects | |
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