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    Leveraging Generative Artificial Intelligence to Enhance Cognitive Agility in Supply Chain Decision-Making: A Real-Time Empirical Analysis by Augustine Okeke (21034832)

    Published 2025
    “…</p><p dir="ltr">Methodological Overview </p><p dir="ltr">Design: Mixed methods (Quantitative experimentation, qualitative semi-structured interviews) </p><p dir="ltr">Sample: Quantitative: 200 senior supply chain managers Qualitative: 25 supply chain executives (purposively sampled for depth of insights) </p><p dir="ltr">Tools Used: Scenario-based experiments using GPT-based generative AI tools NVivo 12 software for thematic qualitative analysis SmartPLS (PLS-SEM), Bayesian network modelling for quantitative analysis </p><p dir="ltr">Data Collected </p><p dir="ltr">Quantitative Data: Decision accuracy, response time, adaptability (Likert-scale assessments) Pre- and post-experiment psychometric scales measuring perceived cognitive agility, decision-making confidence, and perceived usefulness of generative AI </p><p dir="ltr">Qualitative Data: Semi-structured interview transcripts Thematic categories: cognitive capabilities enhancement, implementation challenges, and strategic alignment factors Direct participant quotes providing granular, context-specific insights </p><p dir="ltr">Key Findings Quantitative Outcomes: Generative AI significantly enhances cognitive agility (β = 0.64, p < 0.001). …”