ISI Report

The transition to renewable energies is essential for mitigating climate change and ensuring sustainable development. However, the adoption of these technologies often requires significant adaptation at the community level. This study explores the application of Actor–Network Theory (ANT) to analyze the complex interactions among various human and non-human actors involved in the adoption of renewable energy technologies. By focusing on the regulatory mechanisms of gene expression as a metaphor for community adaptation processes, the study provides a novel perspective on how communities adapt to and integrate renewable energy systems. Through a comprehensive literature review, case study analysis, and empirical research, this article identifies key factors that influence the successful adoption of renewable energies within communities and highlights the role of ANT in understanding these dynamics. The results suggest that applying ANT can reveal the intricate networks of relationships that shape community adaptation, offering valuable insights for policymakers and practitioners working to promote renewable energy adoption. This study explores the application of Actor–Network Theory (ANT) to understand gene expression regulation and community adaptation to renewable energies. By leveraging ANT’s framework, which emphasizes the interrelationships and dynamics between human and non-human actors within networks, the research investigates how genetic regulation systems interact with technological and social elements in the context of renewable energy adoption. The study examines how these interactions influence both the biological responses of organisms to new energy sources and the adaptive strategies of communities integrating renewable technologies. The findings reveal how ANT can provide a nuanced understanding of the complex, interconnected processes driving gene expression and community adaptation, offering insights into the broader implications of renewable energy transitions for both ecological and social systems.