10 papers analyzed
These studies suggest that data analytics, including big data and AI, play a significant role in enhancing environmental conservation and sustainability across various sectors by improving supply chain management, predicting risks, and aiding in decision-making, although there may be limitations based on organizational orientation and potential ethical concerns.
The role of data analytics in environmental conservation is an emerging field that leverages large datasets and advanced analytical techniques to improve sustainability practices and environmental performance across various sectors.
Key Insights:
Conclusion:
Data analytics plays a crucial role in environmental conservation by providing insights that lead to improved sustainability practices. It enhances social and environmental performance in various industries, supports green supply chain processes, and mitigates risks. The integration of AI and big data analytics is transforming decision-making and governance in conservation efforts. Additionally, the application of data analytics in organic farming shows promise for enhancing environmental sustainability. Overall, the use of data analytics in environmental conservation is a powerful tool that can lead to significant improvements in sustainability outcomes.
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