Permanent record
RIR-2012 · Logged 13 July 2026
Integrating Stakeholder Perspectives into Supply Chain Resilience Models for Enhanced Pollinator Network Stability
This research examines how supply chain resilience frameworks can be adapted to understand the stability of pollinator networks. It suggests incorporating diverse stakeholder inputs to improve the predictive power of ecological resilience models.
In plain words
Businesses have tools for judging how well supply chains cope with shocks. Could those tools, with input from the different people involved, help predict how stable pollinator networks are in farming areas that depend on them?
Primary research question
In what ways can supply chain resilience frameworks be adapted to model the stability of pollinator networks?
Knowledge gap
What remains worth asking
The source suggests that cross-disciplinary integration between supply chain management and ecological network theory is currently under-explored.
Potential contribution
Why it may matter
Applying industrial resilience models to ecological networks may offer new insights into managing biodiversity in changing environments.
Academic placement
Academic fields and topic tags
Study frame: Agricultural regions dependent on pollinator-reliant supply chains. · Method signals: Network analysis, Stakeholder interviews, System dynamics modeling
Possible study pathways
One question, different levels
Professional master’s / MBA
Applying supply chain resilience strategies to ecological network management.
Doctoral
Developing integrated models for pollinator network and supply chain resilience.
- originality
- Advanced
- methodology
- Moderate
- Data access
- Moderate
- ethics
- Accessible
Quality and audit
85/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Interdisciplinary approach required.
- Focus on network theory.
- Open-access scholarly source and DOI metadata verified
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Hong, L. J., Li, J., Wu, X., & Yi, S. (2025). Future research of supply chain resilience: Network perspectives and incorporation of more stakeholders. Fundamental Research, 5(2), 486-495. https://doi.org/10.1016/j.fmre.2023.07.012
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗