Short answer
Design AI-powered platforms with a focus on transparency and user environmental identity to foster trust and drive sustainable value co-creation.
- Field
- Sustainability
- Source
- Sustainability (2025)
- Method
- Quantitative survey research
- Sample
- 466 participants
- Evidence
- Strong effect
Leveraging AI platform resources can foster stakeholder trust and environmental identity, leading to enhanced green value co-creation and improved sustainable firm performance. This sustainability research insight is drawn from a 2025 study published in Sustainability. Using Quantitative survey research with 466 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design AI-powered platforms with a focus on transparency and user environmental identity to foster trust and drive sustainable value co-creation.
AI Platform Resources Drive Green Value Co-Creation for Sustainable Firm Performance
Leveraging AI platform resources can foster stakeholder trust and environmental identity, leading to enhanced green value co-creation and improved sustainable firm performance.
Sustainability · 2025
Key Findings
- 01Platform AI resources positively influence green value co-creation.
- 02Trust in AI and environmental identity mediate the relationship between AI resources and green value co-creation.
- 03The positive association between AI resources and green value co-creation is stronger in high-sustainable development contexts.
Application
Design takeaway
Design AI-powered platforms with a focus on transparency and user environmental identity to foster trust and drive sustainable value co-creation.
How to apply
When developing digital platforms, prioritize AI features that enhance transparency, provide clear environmental impact information, and allow users to express or strengthen their environmental identity.
Project actions
- 01When designing a digital product, think about how AI can be used to promote sustainable actions.
- 02Consider how to build user trust in AI features related to environmental impact.
- 03Explore how to connect AI features to users' personal values regarding sustainability.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Large sample size from diverse industries.
- +Integration of multiple theoretical frameworks (RBV, TPB, Institutional Theory).
Limitations
Self-reported data can be biased. The study's focus on specific regions in China might not apply everywhere. The complexity of AI systems can make it hard to isolate the exact impact of specific AI resources.
Reliability & validity
The study likely employed established scales for its constructs, contributing to reliability. Validity would be supported by the theoretical grounding and the multi-industry context, though potential biases in self-reported data could affect it.
Think critically
To what extent can AI truly drive genuine environmental commitment, or does it primarily facilitate 'greenwashing' through perceived trust and identity alignment?
Design Principles
"AI integration should prioritize building stakeholder trust and aligning with environmental values to achieve sustainable business outcomes."
In the digital age, integrating AI into business platforms is not just about efficiency but also about enabling sustainable practices. By designing AI systems that build trust and resonate with users' environmental values, businesses can unlock new avenues for collaborative sustainable development.
What This Means for Your Design
Using AI on online platforms can help businesses become more eco-friendly by making customers and partners trust the AI and care more about the environment. This works best when the company is already trying hard to be sustainable.
How to use in your project
- 1.Reference this study when discussing how digital technologies can support sustainable design goals.
- 2.Use the findings to justify design choices aimed at increasing user trust in AI for environmental purposes.
Add to My Project
Quick Cite
Paragraph starter
This research indicates that AI-driven platforms can significantly contribute to sustainable firm performance by fostering green value co-creation through enhanced stakeholder trust and environmental identity. The findings suggest that designing AI with transparency and a focus on user values is crucial for driving pro-environmental engagement and achieving sustainable development goals within business ecosystems.
Source
Sustainability
Platform AI Resources and Green Value Co-Creation: Paving the Way for Sustainable Firm Performance in the Digital Age
journal · 2025
View sourceQuestions About This Research
- What does the research say about ai platform resources drive green value co-creation for sustainable firm performance?
- Design AI-powered platforms with a focus on transparency and user environmental identity to foster trust and drive sustainable value co-creation. Evidence: Sustainability (2025).
- Why does "AI Platform Resources Drive Green Value Co-Creation for Sustainable Firm Performance" matter for design?
- In the digital age, integrating AI into business platforms is not just about efficiency but also about enabling sustainable practices. By designing AI systems that build trust and resonate with users' environmental values, businesses can unlock new avenues for collaborative sustainable development.
- How can designers apply this research?
- Design AI-powered platforms with a focus on transparency and user environmental identity to foster trust and drive sustainable value co-creation.
- What were the main findings?
- Platform AI resources positively influence green value co-creation.. Trust in AI and environmental identity mediate the relationship between AI resources and green value co-creation.. The positive association between AI resources and green value co-creation is stronger in high-sustainable development contexts.
- What research method was used?
- Quantitative survey research with 466 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Sustainability.
- What should I do differently in my next project?
- When developing digital platforms, prioritize AI features that enhance transparency, provide clear environmental impact information, and allow users to express or strengthen their environmental identity.
- What are the limitations?
- The study was conducted in specific digital economy hubs in China, which may limit generalizability to other geographical or economic contexts. The reliance on survey data may also be subject to self-reporting biases.