Short answer
Integrate AI capabilities into your sustainability strategy, focusing on how it can enhance both circular economy operations and your green marketing messages.
- Field
- Innovation & Markets
- Source
- Business Strategy & Development (2025)
- Method
- Mixed-method study (quantitative survey and qualitative content analysis)
- Sample
- 310 participants in 115 firms
- Evidence
- Strong effect
Strategic integration of Artificial Intelligence can amplify the positive impact of circular economy practices and green marketing initiatives on a company's environmental performance. This innovation & markets research insight is drawn from a 2025 study published in Business Strategy & Development. Using Mixed-method study (quantitative survey and qualitative content analysis) with 310 participants in 115 firms, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate AI capabilities into your sustainability strategy, focusing on how it can enhance both circular economy operations and your green marketing messages.
AI Orchestration Drives Circular Economy and Green Marketing for Superior Environmental Performance
Strategic integration of Artificial Intelligence can amplify the positive impact of circular economy practices and green marketing initiatives on a company's environmental performance.
Business Strategy & Development · 2025
Key Findings
- 01Circular economy capacity directly enhances environmental performance.
- 02Circular economy capacity also enhances environmental performance indirectly through strategic green marketing orientation.
- 03Strategically orchestrated Artificial Intelligence strengthens both the direct and indirect pathways from circular economy capacity to environmental performance.
Application
Design takeaway
Integrate AI capabilities into your sustainability strategy, focusing on how it can enhance both circular economy operations and your green marketing messages.
How to apply
Evaluate how AI tools can be leveraged to improve material traceability, optimize resource use in production, and enhance the communication of your environmental efforts to customers.
Project actions
- 01When researching AI applications, consider how they support broader business strategies like sustainability.
- 02Think about how AI can connect different aspects of a product's lifecycle, from design to end-of-life.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Integration of multiple theoretical perspectives (ROV, DCV, Complementarity Theory).
- +Mixed-method approach providing both quantitative evidence and qualitative context.
Limitations
The complexity of measuring 'strategic orchestration' of AI and isolating its impact from other business factors can be challenging.
Reliability & validity
The study uses established scales for measuring constructs and a mixed-method approach to enhance both reliability and validity. However, self-reported data in surveys can introduce bias.
Think critically
To what extent can the 'orchestration' of AI be objectively measured, and how might other external factors influence the observed relationships between AI, CE, SGMO, and EP?
Design Principles
"AI acts as a strategic orchestrator, amplifying the synergistic effects of complementary sustainability initiatives."
In today's market, demonstrating strong environmental performance is increasingly crucial for brand reputation and long-term viability. This research suggests that AI is not just a tool for efficiency, but a strategic enabler that can unlock greater value from sustainability efforts.
What This Means for Your Design
Using AI smartly can make your company's efforts to be more eco-friendly and market itself as green much more effective.
How to use in your project
- 1.Reference this study when discussing how technological advancements can support sustainable design practices and market positioning.
Add to My Project
Quick Cite
Paragraph starter
This study by Keskin et al. (2025) highlights the crucial role of Artificial Intelligence in enhancing environmental performance by strategically orchestrating circular economy practices and green marketing. Their findings suggest that AI acts as a powerful amplifier, strengthening the positive links between these sustainability initiatives and measurable environmental outcomes, offering valuable insights for design projects aiming for impactful eco-innovation.
Source
Business Strategy & Development
The Role of Artificial Intelligence ( <scp>AI</scp> ) in Enhancing Circular Economy and Strategic Green Marketing for Environmental Performance: A Mixed‐Method Study
journal · 2025
View sourceQuestions About This Research
- What does the research say about ai orchestration drives circular economy and green marketing for superior environmental performance?
- Integrate AI capabilities into your sustainability strategy, focusing on how it can enhance both circular economy operations and your green marketing messages. Evidence: Business Strategy & Development (2025).
- Why does "AI Orchestration Drives Circular Economy and Green Marketing for Superior Environmental Performance" matter for design?
- In today's market, demonstrating strong environmental performance is increasingly crucial for brand reputation and long-term viability. This research suggests that AI is not just a tool for efficiency, but a strategic enabler that can unlock greater value from sustainability efforts.
- How can designers apply this research?
- Integrate AI capabilities into your sustainability strategy, focusing on how it can enhance both circular economy operations and your green marketing messages.
- What were the main findings?
- Circular economy capacity directly enhances environmental performance.. Circular economy capacity also enhances environmental performance indirectly through strategic green marketing orientation.. Strategically orchestrated Artificial Intelligence strengthens both the direct and indirect pathways from circular economy capacity to environmental performance.
- What research method was used?
- Mixed-method study (quantitative survey and qualitative content analysis) with 310 participants in 115 firms.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Business Strategy & Development.
- What should I do differently in my next project?
- Evaluate how AI tools can be leveraged to improve material traceability, optimize resource use in production, and enhance the communication of your environmental efforts to customers.
- What are the limitations?
- The study's findings are based on a specific set of theoretical frameworks (ROV, DCV, Complementarity Theory) and may not generalize to all industries or AI applications.