The relation between Artificial Intelligence (AI), Eco Innovation (EI) and Green Innovation (GI) and effects on Sustainability

The rapid advancement of AI has positioned it as a key driver of EI and sustainability, transforming industries through green product and process innovation, organizational efficiency, and environmentally conscious business strategies. This study explores the role of AI in EI and sustainability, focusing on its impact on green product and process innovation, organizational efficiency, and environmental sustainability. A systematic literature review and comparative analysis were conducted to assess AI’s effectiveness in reducing carbon emissions, enhancing energy efficiency, and supporting circular economy practices. Findings show that AI significantly improves GI and corporate sustainability, yet challenges like greenwashing and ethical concerns remain. The study recommends aligning AI with sustainability policies, enhancing transparency, and prioritizing energy-efficient AI solutions. Future research should explore AI’s long-term environmental impact and industry-specific sustainability strategies.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-01
DOI
https://doi.org/10.1051/matecconf/202541310004/pdf
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.00
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article

The relation between Artificial Intelligence (AI), Eco Innovation (EI) and Green Innovation (GI) and effects on Sustainability

Lana Freihat
Springer Link (Chiba Institute of Technology)
Environmental Sustainability in Business
article

The relation between Artificial Intelligence (AI), Eco Innovation (EI) and Green Innovation (GI) and effects on Sustainability

Lana Freihat
article en

Abstract

The rapid advancement of AI has positioned it as a key driver of EI and sustainability, transforming industries through green product and process innovation, organizational efficiency, and environmentally conscious business strategies. This study explores the role of AI in EI and sustainability, focusing on its impact on green product and process innovation, organizational efficiency, and environmental sustainability. A systematic literature review and comparative analysis were conducted to assess AI’s effectiveness in reducing carbon emissions, enhancing energy efficiency, and supporting circular economy practices. Findings show that AI significantly improves GI and corporate sustainability, yet challenges like greenwashing and ethical concerns remain. The study recommends aligning AI with sustainability policies, enhancing transparency, and prioritizing energy-efficient AI solutions. Future research should explore AI’s long-term environmental impact and industry-specific sustainability strategies.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 21%
Environmental Sustainability in Business
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