2024 International Conference on Big Data and Digital Management (ICBDDM 2024)
Call For Papers
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Call For Papers

2024 International Conference on Big Data and Digital Management (ICBDDM 2024) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.

Manuscripts passed the peer-review process by expert reviewers from the conference organizing committee will be accepted and published. The published papers will then be submitted to EI Compendex, Scopus for indexing. They need to be combined with computer or other engineering words. Review articles cannot be accepted.

The topics of interest for submission include, but are not limited to:


Track 1:Information Management
  • Business Strategy and Information Systems

  • Management Information System

  • Information Systems Planning and Management

  • Organizational Adoption of Information Technology

  • Human factors in information systems

  • Systems analysis and design methods

  • Object-oriented enterprise modeling

  • E-commerce

  • Information technology management

  • Knowledge-based systems supporting database design

  • Automatic mediation in group support systems

  • Digital business management

  • Risk assessment and management

  • Supply Chain Management

  • Information Security Management

  • IT Management

  • Knowledge management

  • Software copyright infringement

  • Auditing and information technology management

  • Information quality and strategy

  • Decision support systems

  • Enterprise Resource Planning

Track2: Big Data Management
  • Algorithms and Systems for Big Data Search

  • Data Uncertainty Management

  • Big Data Analytics

  • Distributed and peer-to-peer search

  • Cloud Computing

  • Smart Contracts

  • Big Data Search Architecture, Scalability and Efficiency

  • Data acquisition, integration, cleansing and best practices

  • Big Data visualization and analysis

  • Blockchain technology

  • Computational modeling and data integration

  • Large-scale recommender systems and social media systems

  • Link and graph mining

  • Semantic-based data mining and data preprocessing