The transformative role of artificial intelligence (AI) in sustainable management: Optimizing circular value chains
DOI:
https://doi.org/10.71068/amwjw653Keywords:
Artificial intelligence, sustainable management, circular economy, value chain, sustainabilityAbstract
This study presents a systematic literature review exploring the convergence between artificial intelligence (AI) and sustainable management, highlighting the role of AI in optimizing the circular value chain and its impact on business sustainability (SDG 12). Based on the thematic analysis of a total of thirty-seven (37) academic articles and various specialized sources, the main practices in which AI contribute throughout the product lifecycle were identified, from the design and production phases to reverse logistics and waste management. The results show that AI is positioned as a reliable catalyst for the transition towards a circular economy (CE), driving new business models such as product as a service (PaaS) and remanufacturing. However, certain important challenges also arise that must be addressed with a critical, humane and deeply reflective sense, including the increase in energy consumption, the associated carbon footprint and the ethical risks associated with biases present in algorithms. The research concludes that successful implementation of artificial intelligence requires a comprehensive management approach capable of anticipating risks, strengthening collaboration among stakeholders, and cultivating adaptive leadership. A strategic framework is proposed to guide managerial action, paving the way for new lines of research, while also contributing to the more ethical, sustainable, and transformative use of artificial intelligence in the business world under SDG 9.
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