Mapping the Future of Renewable Energy Supply Chain Management: A Scientometric Review of Trends

Abstract: The connection between renewable energy and supply chain performance has gained increasing recognition among researchers, industry professionals, and global organizations, making it a key area of study. This research aims to analyze academic papers to identify key issues, methodologies, types of renewable energy, and performance metrics used to assess Renewable Energy Supply Chains (RESC). The analysis covers publications up to 2023, providing a comprehensive overview of the field's evolution. Additionally, the study identifies knowledge gaps and explores bibliometric analysis, a technique that uses statistical methods to track research trends and key contributors. This approach offers valuable insights into future research directions in renewable energy and supply chain performance. Keywords: Renewable Energy Supply Chain, Bio-mass, Biofuel, Solar, Wind, Efficiency, Optimization JEL Classification Number: K32, Q42

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.14594524
Primary Topic
Forest Biomass Utilization and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping the Future of Renewable Energy Supply Chain Management: A Scientometric Review of Trends

Zenodo (CERN European Organization for Nuclear Research)
Forest Biomass Utilization and Management
article

Mapping the Future of Renewable Energy Supply Chain Management: A Scientometric Review of Trends

article en

Abstract

Abstract: The connection between renewable energy and supply chain performance has gained increasing recognition among researchers, industry professionals, and global organizations, making it a key area of study. This research aims to analyze academic papers to identify key issues, methodologies, types of renewable energy, and performance metrics used to assess Renewable Energy Supply Chains (RESC). The analysis covers publications up to 2023, providing a comprehensive overview of the field's evolution. Additionally, the study identifies knowledge gaps and explores bibliometric analysis, a technique that uses statistical methods to track research trends and key contributors. This approach offers valuable insights into future research directions in renewable energy and supply chain performance. Keywords: Renewable Energy Supply Chain, Bio-mass, Biofuel, Solar, Wind, Efficiency, Optimization JEL Classification Number: K32, Q42

Zenodo (CERN European Organization for Nuclear Research)
Indian Institute of Foreign Trade (IN)
Affordable and clean energy
Openalex Percentile: Top 62%
Forest Biomass Utilization and Management
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