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                <text>Faculty Publications</text>
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    <name>Book Chapter</name>
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          <name>Creator</name>
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              <text>Singh, Shanu; Anand, Aditi; Kalyani; Awasthi, Yashmita</text>
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          <name>Title</name>
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              <text>From Linear to Circular: A Holistic Strategy for Sustainable Development in Emerging Economies</text>
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              <text>01-01-2025</text>
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              <text>Sustainable Economy Models in the Age of Industry 5.0;pp.119-144</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-96-4104-8_8" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-96-4104-8_8&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105024400247?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105024400247?origin=resultslist&lt;/a&gt;</text>
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              <text>Singh S., Christ University, Bengaluru, India; Anand A., Christ University, Bengaluru, India; Kalyani, Christ University, Bengaluru, India; Awasthi Y., Christ University, Bengaluru, India</text>
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              <text>The immediate upheaval for transitioning and slipping from mundane linear system to deliberately choosing sustainable and equitable circular economy system has been in airs, suggesting its shared benefits and changed outlook. The current research paper proposes a framework RE-GENO which supports the design of responsible circular economy practices and argues that this framework can act as a preliminary tool for improving and expanding the decision-making context for a more equitable transition through use of artificial intelligence. The research papers have discussed the idea of transitioning from linear economy that results in generation of large amount of waste to a circular economy which leads to sustainable form of consumption and have further highlighted the challenges followed by it and application of artificial intelligence in its transition. They have given different frameworks which could form base of transitioning into it but at the same time, there has not been enough insight on implementation of it in Indian based economy. This research paper brings up a modified version for a framework whose main aim is to provide a new base for moving to circular economy and focusing on strategies on its efficient implementation in developing nation like India. It is found that application of this framework in India requires multifaceted approach that integrates all aspects such as technology, education, government initiatives and monitoring through risk analysis to foster sustainable growth, production, and consumption. Hence, the paper suggests that successful implementation might open the way for more sustainable and efficient resource management strategies across a variety of businesses.  2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Artificial intelligence; Circular economy; Framework; Framework; SDG; Sustainable practices</text>
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              <text>Springer Science+Business Media</text>
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              <text>ISBN: 978-981964104-8; 978-981964103-1;</text>
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              <text>English</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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              <text>online</text>
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