Aim & Scope
Advancing the Integration of Academic Research and Business Practice
The Journal of Artificial Intelligence & Business Research (JAIBR) is an international, peer-reviewed, open-access journal dedicated to advancing research, knowledge, and practice in artificial intelligence and its evolving applications across business, industry, science, technology, and society.
Aim
The journal aims to provide a scholarly platform for researchers, academicians, doctoral scholars, technology professionals, industry practitioners, and policymakers to disseminate rigorous research that advances the understanding, development, adoption, and responsible application of artificial intelligence.
JAIBR seeks to bridge the gap between AI research and real-world application by encouraging research that combines theoretical advancement with empirical evidence, technological innovation, managerial relevance, and societal impact. The journal particularly welcomes research examining how AI is transforming organizations, industries, decision-making, human capabilities, economic systems, and social institutions.
The journal is committed to:
Supporting Researchers
Supporting doctoral and postdoctoral researchers in disseminating their work to a global audience.
Practitioner Insights
Showcasing practitioner insights that can inspire academic inquiry and practical application.
Interdisciplinary Dialogue
Encouraging interdisciplinary dialogue across business, management, social sciences, and technology.
Open Access
Promoting open-access publishing to ensure that research is freely available and impactful worldwide.
We uphold a rigorous double-blind peer-review process to maintain academic integrity and publication quality.
Scope
JAIBR welcomes original research, empirical studies, conceptual papers, systematic literature reviews, case studies, methodological contributions, and interdisciplinary research addressing current and emerging developments in artificial intelligence.
The scope of the journal includes, but is not limited to:
Artificial Intelligence & Machine Learning
Covers artificial intelligence, machine learning, deep learning, reinforcement learning, neural networks, natural language processing, computer vision, knowledge representation, intelligent systems, and emerging AI methodologies.
Generative AI & Foundation Models
Covers generative AI, large language models, multimodal models, foundation models, AI agents, prompt engineering, retrieval-augmented generation, synthetic data, AI-assisted content creation, and emerging generative technologies.
AI, Data Science & Analytics
Covers data science, predictive and prescriptive analytics, big data, business intelligence, statistical learning, data mining, data visualization, decision intelligence, and AI-driven approaches to extracting insights from complex datasets.
AI in Business & Management
Covers AI-enabled decision-making, intelligent enterprises, AI strategy, automation, digital transformation, AI-driven business models, organizational applications, productivity, competitive advantage, and the strategic management of AI adoption.
AI in Finance & FinTech
Covers algorithmic trading, financial forecasting, fraud detection, credit scoring, robo-advisory, risk analytics, intelligent banking, financial inclusion, RegTech, InsurTech, blockchain-AI integration, and AI applications in capital markets.
AI in Healthcare & Life Sciences
Covers clinical AI, medical imaging, disease prediction, drug discovery, personalized medicine, digital health, healthcare analytics, biomedical AI, genomics, bioinformatics, pharmaceutical research, and intelligent healthcare systems.
AI in Education & Learning
Covers adaptive learning, intelligent tutoring systems, AI-assisted teaching, learning analytics, automated assessment, educational chatbots, personalized education, academic research applications, AI literacy, and the transformation of teaching and learning.
AI in Engineering, Technology & Industry
Covers robotics, autonomous systems, industrial AI, smart manufacturing, predictive maintenance, digital twins, edge AI, human-machine collaboration, Industry 4.0, intelligent infrastructure, and AI-enabled engineering applications.
AI in Agriculture, Environment & Sustainability
Covers precision agriculture, smart farming, crop and soil analytics, climate intelligence, environmental monitoring, natural-resource management, biodiversity, disaster prediction, energy optimization, circular economy, and AI for sustainable development.
AI, Society, Ethics & Responsible Innovation
Covers responsible AI, AI ethics, algorithmic fairness, bias, transparency, explainability, privacy, accountability, human-AI interaction, societal impact, AI governance, responsible innovation, and the implications of AI for individuals and communities.
AI, Law, Policy & Governance
Covers AI regulation, technology policy, data protection, intellectual property, algorithmic accountability, public-sector AI, digital governance, regulatory technology, international AI policy, and institutional frameworks for responsible AI deployment.
AI, Cybersecurity & Digital Trust
Covers AI-driven cybersecurity, threat detection, adversarial machine learning, privacy-preserving AI, digital identity, secure AI systems, misinformation and deepfakes, cyber risk management, and trustworthy digital infrastructures.
AI, Robotics & Autonomous Systems
Covers intelligent robotics, autonomous vehicles, drones, human-robot interaction, swarm intelligence, industrial robots, service robots, embodied AI, autonomous decision-making, and AI-enabled physical systems.
AI, Language, Culture & Human Behaviour
Covers computational linguistics, multilingual AI, sentiment analysis, conversational systems, cultural intelligence, human-AI interaction, computational social science, behavioural analytics, and the influence of AI on communication and society.
Emerging & Interdisciplinary AI Research
Covers emerging AI technologies, interdisciplinary applications, experimental AI research, AI-human collaboration, quantum-AI intersections, AI and biotechnology, AI for scientific discovery, and novel applications that transcend conventional disciplinary boundaries.