About the Journal

International Journal of Data-Driven Management and Business Strategy (IJDDMBS) is a peer-reviewed, double-blind refereed, and open-access scholarly journal focused on the intersection of data analytics, technology, and strategic business management. Published quarterly by Orgavox Publications, the journal provides a global platform for academics, data scientists, business leaders, and industry professionals to publish high-quality original research, case studies, and review articles that explore how data influences modern business decision-making and strategic planning.

The journal accepts manuscripts in English and strictly adheres to academic integrity, transparency, and ethical publishing practices. IJDDMBS is accessible through its official portal at https://orgavox.com/journals/index.php, and all editorial correspondence may be directed to *************@gmail.com.

Scope of the Journal

IJDDMBS invites contributions in, but not limited to, the following areas:

  • Data-Driven Decision Making

  • Business Intelligence and Analytics

  • Strategic Management Using Big Data

  • Predictive Analytics in Business

  • Artificial Intelligence in Business Strategy

  • Data Visualization and Reporting

  • Customer Relationship Management Analytics

  • Marketing Analytics and Consumer Insights

  • Operations and Supply Chain Analytics

  • Financial Forecasting and Risk Analytics

  • Data Governance and Ethical Use of Data

  • Digital Transformation and Strategic Innovation

Key Features

  • Quarterly Publication

  • Double-Blind Peer Review

  • Open Access

  • Crossref DOI Assignment

  • Global Reviewer and Editorial Panel

  • Ethics Compliance (COPE Standards)

Vision

IJDDMBS envisions becoming a leading resource for research and innovation in data-driven business management. The journal seeks to empower organizations and researchers by promoting the integration of analytics and strategic thinking to drive performance, innovation, and sustainable growth in today's data-centric world.