Aim and Scope

Aim and Scope

The International Journal of Data-Driven Management and Business Strategy (IJDDMBS) provides a comprehensive platform for the dissemination of original research articles, review papers, case studies, and scholarly contributions in the fields of data-driven management, business analytics, and strategic decision-making. The journal focuses on advancing knowledge and promoting innovations that support evidence-based business strategies, digital transformation, and intelligent decision systems.

Aim

  • To publish high-quality, peer-reviewed research that contributes to the advancement of data-driven management and business strategy.
  • To foster innovation in business analytics, artificial intelligence, machine learning applications, and strategic decision-making.
  • To promote the exchange of knowledge among researchers, academicians, industry professionals, and policymakers.
  • To encourage interdisciplinary and multidisciplinary research addressing modern challenges in business, technology, and global markets.

Scope

The journal covers a wide range of topics in data-driven management and business strategy, including but not limited to:

Data Analytics and Business Intelligence

  • Business intelligence systems
  • Data mining and predictive analytics
  • Big data analytics
  • Decision support systems

Artificial Intelligence and Machine Learning

  • AI applications in business
  • Machine learning for decision-making
  • Intelligent automation systems
  • Deep learning in management systems

Strategic Management

  • Data-driven strategic planning
  • Competitive strategy and analysis
  • Organizational performance optimization
  • Strategic decision models

Finance and Risk Analytics

  • Financial data analytics
  • Risk assessment models
  • Investment analytics
  • Fraud detection systems

Marketing Analytics

  • Consumer behavior analytics
  • Digital marketing analytics
  • Customer segmentation
  • Sentiment analysis

Operations and Supply Chain Analytics

  • Supply chain optimization
  • Logistics analytics
  • Operations performance modeling
  • Demand forecasting

Digital Transformation and Innovation

  • Digital business models
  • Industry 4.0 applications
  • E-business strategies
  • Technology-driven innovation

Economics and Policy Analytics

  • Economic forecasting models
  • Policy decision analytics
  • Global market analysis