kerostig | Tag : data intelligence https://kerostig.org/tag/data-intelligence/ Derniers appels à publications avec le tag 'data intelligence'. Mon, 05 Oct 2026 10:15:17 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr kerostig | Tag : data intelligence https://kerostig.org/public/favicon/android-chrome-96x96.png https://kerostig.org/tag/data-intelligence/ Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs. <![CDATA[Data Intelligence Drives Innovation in E-Commerce Enterprises]]> https://kerostig.org/call/tandf-data-intelligence-drives-innovation-in-e-commerce-enterprises/ tandf-data-intelligence-drives-innovation-in-e-commerce-enterprises Tue, 11 Aug 2026 00:55:16 GMT

Jingsha He, Beijing University of Technology

Sohail S. Chaudhry, Villanova University

Galina Ilieva, University of Plovdiv

This special issue examines how data intelligence and advanced technologies are transforming e-commerce enterprises. The rapid integration of big data analytics and AI with e-commerce has enabled innovations such as dynamic pricing, personalized recommendations, and optimized supply chains. However, challenges remain in handling massive data volumes, processing both structured and unstructured data, and differentiating competitive offerings through algorithms.

The special issue seeks research addressing current bottlenecks in data-driven e-commerce, including operational efficiency improvements, data processing complexity, and reducing over-reliance on historical data. Contributions should explore how emerging technologies like AI and generative AI can enhance recommendation systems, marketing strategies, and cross-channel retail integration while overcoming algorithm homogenization issues.

Appel publié par Enterprise Information Systems. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

  • Paths to enhance e-commerce efficiency driven by big data
  • Data intelligence empowers innovation in e-commerce operations and service upgrading
  • Optimization of complex data processing in e-commerce operations through data intelligence
  • AI enables solving the problems of structured and unstructured data processing in e-commerce
  • E-commerce marketing strategies and accurate capture of user behavior based on in-depth AI analysis
  • AI enables optimization of the guidance effectiveness and accuracy of recommendation systems for e-commerce users
  • Generative AI breaks through algorithm homogenization to realize personalized services in e-commerce
  • Data intelligence promotes the format innovation of integration between e-commerce and physical retail

Timeline

  • September 30, 2026: Submission of manuscript
  • November 15, 2026: First notification
  • December 31, 2026: Submission of revised manuscript
  • February 15, 2027: Final paper due
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