About the Journal

Aim

The Journal of Business, Management, and Intelligent Systems (JBMIS) is a peer-reviewed scholarly outlet dedicated to publishing rigorous, high-impact research that advances knowledge and practice at the intersection of business strategy, management, and intelligent technologies. The journal specifically highlights how AI-driven innovation and data-centric methods transform decision-making, competitiveness, and value creation across organizations and markets. JBMIS promotes interdisciplinary research, academic excellence, and practical impact, serving as a bridge between scholarly insight and real-world implementation, with relevance for both researchers and practitioners.

Scope

JBMIS welcomes original research articles, systematic reviews, conceptual papers, and applied studies (including industry- and SME-oriented research) in areas such as:

Innovation & Entrepreneurship: venture creation, startup strategy, business model innovation, technology commercialization, innovation management.
Marketing & Customer Intelligence: customer engagement, market positioning, customer analytics, digital marketing strategy, brand and growth analytics, AI/GenAI in marketing.
Finance, Accounting & SME Finance: financial management and reporting, SME funding and growth, fintech applications, risk analytics, forecasting, investment decision support.
Management & Organizational Practice: strategic management, operations, HR, project management, governance, performance improvement, and organizational transformation.
Intelligent Systems in Business: business intelligence and analytics; AI methods including machine learning, deep learning, NLP, computer vision, generative AI and LLMs; decision support systems; intelligent automation (RPA, agents, chatbots); knowledge-based, fuzzy, and multi-agent systems.

The journal particularly encourages work that supports applied, industry-engaged scholarship and contributes to organizational competitiveness—especially in SME contexts.

Quality and Audience

JBMIS upholds strong quality standards through double-blind peer review and aims to serve a broad readership including researchers, faculty, PhD students, executives, managers, consultants, and analysts.