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              <text>Integrating AI Tools into HRM to Promote Green HRM Practices</text>
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              <text>AI; Green HRM; HRM; Sustainability</text>
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              <text>The image of Human Resource Management (HRM) is undergoing a drastic transformation. The conventional methods are evolving due to the emergence of technology, especially with the integration of Artificial Intelligence (AI) and data analytics into the HR processes. With the rapidly changing concept of the overall growth of an organization, AI is becoming a vital stimulant for sustainable growth. AI-powered tools promote data-driven decision-making for talent acquisition, performance management, workforce training and development, optimization of energy consumption and waste reduction. Green HRM aligns these efforts by integrating sustainability considerations into talent management strategies, nurturing employees eco-engagement, and promoting environmentally responsible practices within the workforce. This research paper aims to explore the synergies between AI tools and Green HRM practices, investigating how the integration of AI technologies into HR processes can contribute to the promotion of environmental sustainability. By examining real-world case studies, this study aims to investigate the potential of AI-powered solutions in shaping the future of HRM through the lens of sustainability.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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              <text>John J.E.; Pramila S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-878, pp. 249-259.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-99-9489-2_22" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-99-9489-2_22&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189563916&amp;amp;doi=10.1007%2F978-981-99-9489-2_22&amp;amp;partnerID=40&amp;amp;md5=4395bfc01da2b0b6604fb46b36f2cb5b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189563916&amp;amp;doi=10.1007%2f978-981-99-9489-2_22&amp;amp;partnerID=40&amp;amp;md5=4395bfc01da2b0b6604fb46b36f2cb5b&lt;/a&gt;</text>
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              <text>ISSN: 23673370; ISBN: 978-981999488-5</text>
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              <text>John J.E., Christ (CHRIST (Deemed to be University), Delhi NCR, India; Pramila S., Christ (CHRIST (Deemed to be University), Delhi NCR, India</text>
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