Hosted ejournal published by Yayasan Cipta Dharma Nusa Aksara, Indonesia
Riviste
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Journal of Intelligent Transformation in Business and Economics
Journal of Intelligent Transformation in Business and Economics (INTRIBE) is an open-access, peer-reviewed academic journal that serves as a platform for advancing research at the intersection of business, economics, and artificial intelligence (AI). INTRIBE is dedicated to publishing original, high-quality manuscripts that examine how intelligent technologies and data-driven systems are transforming business practices, economic structures, and strategic decision-making.
The journal embraces interdisciplinary perspectives and welcomes qualitative, quantitative, empirical, and conceptual research that demonstrates methodological rigor, theoretical relevance, and practical significance. INTRIBE aims to foster a deeper understanding of how AI and related technologies drive innovation, improve performance, and influence policy across diverse business and economic contexts.Areas / Topics:
1. AI applications in finance, accounting, marketing, operations, and human resource management
2. Predictive modeling and machine learning for economic analysis and business forecasting
3. Intelligent decision support systems for corporate strategy and public policy
4. AI-driven innovation in entrepreneurship, supply chains, and digital commerce
5. Business intelligence, big data, and real-time strategic decision-making
6. AI’s role in organizational transformation, governance, and performance measurement
7. Ethical, legal, and societal dimensions of AI adoption in business and economics
8. Conceptual and theoretical frameworks linking AI with economic and managerial thought -
Journal of Informatics for Sustainable Human Behavior
Journal of Informatics for Sustainable Human Behavior (INSAVIOR) is an interdisciplinary, peer-reviewed, open-access journal dedicated to advancing knowledge at the nexus of informatics, behavioral science, and sustainability research. The journal publishes high-quality original research articles, reviews, and applied studies that explore how computational systems, data analytics, and intelligent technologies can be designed and applied to foster and better understand sustainable human behaviors. Areas of interest include, but are not limited to, environmental conservation, public health, education, mobility, and digital wellbeing. By integrating data-driven approaches with behavioral insights, INSAVIOR aims to provide a platform for innovative solutions that support sustainable living and global wellbeing.
Areas / Topics:
1. Behavioral informatics for sustainable living
2. Human-computer interaction and eco-feedback systems
3. AI for behavior change and sustainability
4. Computational social science and climate action
5. Smart systems for health, education, and ecological behavior
6. Digital interventions for sustainable development goals (SDGs)
7. Ethical, social, and psychological implications of sustainability tech
