RESEARCHER PROFILE

Shamina Sharmin Jishan

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National University Bangladesh

Big Data and Business IntelligenceImpact of AI and Big Data on Business and SocietyConsumer Market Behavior and PricingCompetitive and Knowledge IntelligenceSupply Chain and Inventory Management

Shamina Sharmin Jishan works in Big Data and Business Intelligence, Impact of AI and Big Data on Business and Society, Consumer Market Behavior and Pricing, Competitive and Knowledge Intelligence, Supply Chain and Inventory Management. Recorded institutional associations include National University Bangladesh, Gannon University.

7Publications
6Citations
2H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.

    2025 · 3 citations

  2. How Digital Marketing Affiliates the Digital Stores: A Deep Dive into Shopify, Amazon, Walmart, and Other E-Commerce Giants

    2025 · 2 citations

  3. Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks

    2025 · 1 citations

  4. The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector

    2025 · 0 citations

  5. Investment & Market Growth Analysis: Insights into U.S. Retail Stock Performance, Emerging Players, M&A Trends

    2025 · 0 citations

  6. Visual Analytics in U.S. Retail: A Data-driven Business Intelligence Framework for Mapping the Retail KPI Matrix

    2026 · 0 citations

  7. Advancing U.S. Retail Supply Chain Efficiency and Resilience by Integrating IoT Sensing, Artificial Intelligence (AI)-driven BI Analytics, and Robotic Automation.

    2026 · 0 citations

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