
Journal of Business Venturing, AI and Data Analytics
About the journal
Recent Articles
Automating Greenhouse Gas Monitoring with Artificial Intelligence for Sustainable Agriculture
Ecotourism and Wildlife Monitoring: Technological Innovations and Business Opportunities
Artificial Intelligence in Business: Prospects and Dangers
Journal Insights
The Journal of Business Venturing, AI and Data Analytics is a premier platform dedicated to advancing knowledge at the intersection of information technology (IT) and business management. The journal provides a comprehensive forum for the dissemination of groundbreaking research, cutting-edge methodologies, and critical applications that shape the evolving landscape of IT and its strategic role in business operations and decision-making.
Our aim is to serve both academic researchers and industry practitioners by publishing original research that enhances the understanding of how technology drives business transformation, innovation, and competitiveness. We welcome studies that explore theoretical frameworks, empirical investigations, and practical solutions across diverse sectors, including but not limited to digital transformation, e-commerce, fintech, business intelligence, data analytics, IT governance, and strategic management.
Types of Manuscripts
Research Articles: Contributions that explore emerging issues and trends at the intersection of IT management and business strategy.
Methodology Papers: Innovative approaches that demonstrate novel applications of IT in business, including quantitative and qualitative research methods.
Review Articles: In-depth reviews that critically analyze existing literature and propose new research directions in IT management and business integration.
Case Studies and Applications: Papers detailing practical implementations of IT systems that address key business challenges, providing valuable insights for both academia and industry.
By encouraging interdisciplinary collaboration, the Journal of Information Technology Management and Business Horizons seeks to foster innovation and bridge the gap between IT research and its practical implications for global business environments.
- • AI-Driven Business Models and Innovation
- • Machine Learning Applications in Business Strategy
- • Data Analytics for Entrepreneurship and Startups
- • Venture Capital and Investment Analytics
- • Predictive Analytics for Business Growth
- • AI in Market Research and Consumer Behavior
- • Business Process Automation and AI
- • Risk Management and AI Decision-Making Systems
- • Big Data and Business Intelligence
- • Data-Driven Venture Capital Decisions
- • AI for Business Performance Optimization
- • Innovation Management and Technology Ventures
- • Digital Transformation and AI Integration
- • Blockchain and AI in Business Ventures
- • Ethical Considerations in AI-Driven Business
This journal offers authors the choice to publish their work open access. To publish open access, an Article Publishing Charge (APC) applies.
- • Google Scholar
- • Directory of Open Access Journals (DOAJ)
Journal Metrics
- Refereed: Yes
- Review Speed: 4-6 Weeks
- Acceptance Rate: 35%
- Frequency: Every Two Months
