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    <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/284</link>
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    <pubDate>Mon, 27 Apr 2026 20:13:11 GMT</pubDate>
    <dc:date>2026-04-27T20:13:11Z</dc:date>
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      <title>Generative AI's Direct and Total Effect on Operational Excellence in Manufacturing: A Systematic Literature Review</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/2323</link>
      <description>Title: Generative AI's Direct and Total Effect on Operational Excellence in Manufacturing: A Systematic Literature Review
Authors: Singh, Rupali; Sankhi, Anil; Sikh, Gurmeetsingh H.; Nanavati, Kausumi</description>
      <pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-06-01T00:00:00Z</dc:date>
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      <title>Impact of Generative AI on Operational Excellence in Supply Chain Management: A Quantitative Analysis</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/2322</link>
      <description>Title: Impact of Generative AI on Operational Excellence in Supply Chain Management: A Quantitative Analysis
Authors: Singh, Rupali; Sankhi, Anil; Sikh, Gurmeetsingh H.; Nanavati, Kausumi
Abstract: This study investigates the transformative impact of Generative Artificial Intelligence (GenAI) on operational excellence within supply chain management (SCM), particularly in manufacturing organizations. As supply chains face increasing complexity and volatility, GenAI offers powerful capabilities to enhance efficiency, agility, and decision-making. Using a quantitative research design, the study compares pre- and post-implementation performance metrics across 100 manufacturing firms. Key areas examined include cost reduction, inventory optimization, production scheduling, and risk mitigation. The analysis employs simple linear regression to test two hypotheses related to GenAI’s influence on operational cost and performance. Results reveal a statistically significant positive relationship between GenAI adoption and operational excellence, with an R-squared value of 0.838 indicating strong predictive power. Organizations that integrated GenAI experienced improvements in lead time reduction, on-time delivery rates, and inventory turnover. The findings support the resource-based view and dynamic capabilities theory, suggesting GenAI as a strategic asset that fosters competitive advantage through enhanced supply chain capabilities. This research contributes to both academic literature and managerial practice by offering empirical evidence on the benefits of GenAI in achieving supply chain excellence. The study also highlights critical success factors and suggests directions for future research in AI-driven supply chain transformation.</description>
      <pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-06-01T00:00:00Z</dc:date>
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      <title>Unveiling the Power of E-Content: Exploring Student Behavioral Change</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/2321</link>
      <description>Title: Unveiling the Power of E-Content: Exploring Student Behavioral Change
Authors: Suchak, Priyanka; Mehta, Kausumi Nanavati; Deliwala, Yash
Abstract: This systematic literature review examines the impact of e-content on behavioral commutation in&#xD;
students. E-content material, encompassing virtual instructional materials and online assets, has&#xD;
witnessed widespread adoption in contemporary instructional settings. Evaluation seriously&#xD;
analyzes studies performed as much as the present year, focusing on behavioral adjustments&#xD;
exhibited via students in response to e-content utilization. Key subject matters explored include&#xD;
the effectiveness of e-content in promoting energetic engagement, customized studying reviews,&#xD;
and fostering self-directed learning behaviors. The overview additionally investigates the effect of&#xD;
e-content material on collaborative mastering dynamics and its role in cultivating crucial&#xD;
questioning abilities amongst students. Furthermore, the evaluation encompasses diverse&#xD;
academic tiers and concern domains, supplying a complete know-how of the extensive&#xD;
implications of e-content material on scholar conduct. Synthesizing findings from various&#xD;
researches, this overview contributes insights into the multifaceted methods in which e-content&#xD;
material impacts behavioral styles in instructional contexts. The discussion of the effects of those&#xD;
behavioral adjustments on motivation, instructional effectiveness, and common learning outcomes&#xD;
offers a nuanced view of the rapidly changing landscape of online education. The evaluation ends&#xD;
with suggestions for future study avenues and the design of effective e-content material tactics to&#xD;
unquestionably influence student behavior.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-01-01T00:00:00Z</dc:date>
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    <item>
      <title>मोबाइल आपको जड़ कर रहा है</title>
      <link>http://10.9.150.37:8080/dspace//handle/atmiyauni/2320</link>
      <description>Title: मोबाइल आपको जड़ कर रहा है
Authors: Mehta, Kausumi Nanavati</description>
      <pubDate>Wed, 23 Jul 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-07-23T00:00:00Z</dc:date>
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