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                <text>Faculty Publications</text>
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              <text>Irfan, Mohammad; Agrawal, Sanchit; Yadav, Ajay Kumar; dos Santos Vigario Rodrigues, Rui Manuel; Mir, Shakeeb Mohammad</text>
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              <text>AI-Driven Human Augmentation: Enhancing Productivity, Creativity, and Decision-Making in the Business Process</text>
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              <text>Navigating Digital Transformation Through Business Process Management;pp.1-22</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3373-3336-6.ch001" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3373-3336-6.ch001&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105015903708?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105015903708?origin=resultslist&lt;/a&gt;</text>
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              <text>Irfan M., Chandigarh University, Unnao, India; Agrawal S., Christ University, India; Yadav A.K., Chandigarh University, Unnao, India; dos Santos Vigario Rodrigues R.M., Polytechnic Institute of Setal, Portugal; Mir S.M., Christ University, India</text>
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              <text>This study explores how AI augments human productivity, creativity, and decisionmaking across sectors, positioning it as a tool to enhance human potential. Using a qualitative approach with case studies from healthcare, business, and creative industries-such as IBM Watson-it illustrates AI's practical applications. Central to the study are ethical concerns like data privacy, algorithmic bias, and fairness.  2026, IGI Global Scientific Publishing. All rights reserved.</text>
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              <text>ISBN: 979-833733338-0; 979-833733336-6;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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