About the Journal
The Journal of Digital Data Analytics and Business Strategy (JDDABS) is a peer-reviewed, open-access journal dedicated to advancing knowledge at the intersection of data science, digital analytics, and strategic business management. JDDABS publishes original research, review articles, and case studies that explore how data-driven insights shape modern business decisions, digital transformation, and organizational strategy. We welcome contributions from academics, researchers, and industry practitioners worldwide.
Where data intelligence meets business strategy
An international open access journal publishing rigorous, high-impact research at the intersection of digital data analytics, AI-driven intelligence, and strategic business decision-making.
Latest articles
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This study proposes a novel machine learning pipeline that extracts structured early warning signals from unstructured social media streams, enabling real-time detection of supply chain disruptions.
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Drawing on a dataset of 312 firms across Bangladesh, India, and Pakistan, this paper examines how adoption of predictive analytics capabilities moderates the relationship between competitive strategy and firm performance.
Through 48 semi-structured interviews with senior executives across UK, Ghanaian, and Chinese organisations, this study identifies seven systemic barriers and five key enablers for LLM adoption as strategic intelligence tools.
Aims and scope
The Journal of Digital Data Analytics and Business Strategy (JDDABS) is an international, open access, peer-reviewed journal publishing original research at the intersection of data science, digital intelligence, and strategic management.
We welcome submissions across all business disciplines where digital data and analytical methods inform strategic decision-making, including but not limited to supply chain intelligence, marketing analytics, financial data science, consumer behaviour modelling, and AI-driven business transformation.
