This journal focuses on the application of data science and management principles to various domains. It covers topics such as artificial intelligence (AI) and machine learning (ML) for prediction, decision support, and analysis in sectors like energy, finance, healthcare, and manufacturing. The journal also explores the impact of digital technologies and big data analytics on business development, quality control, and innovation, alongside challenges and ethical considerations in AI integration.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Artificial IntelligenceQ1
Computer Science ApplicationsQ1
Information SystemsQ1
Information Systems and ManagementQ1
Management Information SystemsQ1
Management Science and Operations ResearchQ1
Subject Classification
Scopus Categories
Information Systems and ManagementInformation SystemsComputer Science ApplicationsManagement Science and Operations ResearchArtificial IntelligenceManagement Information Systems
Research Topics (OpenAlex)
Digital Marketing and Social MediaBig Data and Business IntelligenceAnomaly Detection Techniques and ApplicationsTechnology Adoption and User BehaviourNetwork Security and Intrusion DetectionStock Market Forecasting MethodsMarket Dynamics and VolatilityEnergy, Environment, Economic GrowthSentiment Analysis and Opinion MiningDigital Transformation in Industry