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                <text>Faculty Publications</text>
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              <text>Kuwar, Vishakha; Sonawaney, Vandana; Shankar, Uma; Yadav, Amit; Radhakrishnan, V.; Upreti, Kamal; Gupta, Komal; Jain, Rituraj</text>
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              <text>Workforce Transformation and Value Creation in the Era of Industry 4.0, 5.0 and 6.0: Challenges and Enablers</text>
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              <text>01-01-2025</text>
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              <text>International Journal of Basic and Applied Sciences;Volume;14;Issue;1;pp.314-324</text>
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              <text>&lt;a href="https://doi.org/10.14419/r61ag136" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14419/r61ag136&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105006780598?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105006780598?origin=resultslist&lt;/a&gt;</text>
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              <text>Kuwar V., Symbiosis International University, Pune, India; Sonawaney V., Symbiosis International University, Pune, India; Shankar U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaimanyah, Iraq; Yadav A., Banarsidas Chandiwala Institute of Professional Studies, Dwarka, New Delhi, India; Radhakrishnan V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Upreti K., Department of Computer Science, CHRIST University, Uttar Pradesh, Delhi-NCR Ghaziabad, India; Gupta K., Accenture, Bangalore, India; Jain R., Department of Information Technology, Marwadi University, Gujarat, Rajkot, India</text>
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              <text>Industry 4.0, Industry 5.0, and Industry 6.0 have been empowered by the acceptance of several advanced technologies, including the Internet of Things (IoT), artificial intelligence, robotics, and human-centric innovation in releasing industries. Comprehensive studies that can include barriers as well as enablers are difficult to conduct. This study employs a mixed-methods research approach, integrating of AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to evaluate key challenges and enablers in workforce transformation. The Findings indicate that leadership vision, digital investment, and employee up-skilling play a crucial role in transformation navigation. Additionally, automation and AI adoption present both opportunities and challenges for workforce adaptability. The study provides strategic insights for organizations to enhance their workforce resilience, competi-tiveness in the evolving industrial landscape. The study offers actionable advice for businesses, policymakers, and educators, and suc-cessfully adaptation the paradigm and sustainable development in the modern era.  Authors.</text>
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              <text>Enablers; Implementation Challenges; Technological Adoption; Value Creation; Workforce Transformation</text>
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              <text>Science Publishing Corporation Inc.</text>
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              <text>ISSN: 22275053;</text>
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              <text>English</text>
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              <text>All Open Access; Gold Open Access; Green Open Access</text>
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              <text>online</text>
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