AI-INFUSED BLOCKCHAIN INNOVATIONS IN MANUFACTURING SUPPLY CHAINS FOR ECO-FRIENDLY PRACTICES TOWARDS A SUSTAINABLE FUTURE
Abstract
Developing countries are the center of attention as this study delves into the ways in which blockchain and AI might improve supply chain sustainability. We argue that these technologies provide unique answers to the problems associated with implementing sustainability standards in these types of situations by employing theoretical, empirical, and anecdotal data. Based on our research into several case studies, we have developed seven hypotheses that outline how blockchain technology might improve supply chains in developing countries with regard to sustainability, social impact evaluation, and product quality. Additionally, we explore how blockchain and AI might inspire recycling, circular business models, and carbon accounting, with a focus on the value of inclusive governance frameworks. The research we conducted focused on the environmental benefits and efficiency gains that may be achieved by combining these technologies. In order to reduce any bad consequences, particularly on disadvantaged groups, it is crucial to have inclusive decision-making procedures. Our policy ideas aim to pave the way for supply chains to use blockchain and AI in a way that promotes openness, accountability, and traceability in ecological practices. Overall, this study emphasizes the need of inclusive governance in maximizing positive results and minimizing negative ones, and it also shows how digital innovation may greatly help with sustainability goals.
Keyword : Environmental Impact, Social Responsibility, Digital Technologies, Blockchain, Developing Countries, Sustainability, and Supply Chains
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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