Ci-STEM Journal of
Management Economics and Analytics

The Ci-STEM Journal of Management Economics and Analytics (CJMEA) is a prestigious, peer-reviewed international journal with focus on the intersection of business strategy, economic theory, and the application of data analytics to solve real-world problems, and their related fields. Considering the anticipated profound impact of AI Applications of Management and Economics on various facets of daily life, CJMEA remains at the forefront of these evolving areas. This journal rigorously reports on both theoretical advancements and practical applications, ensuring comprehensive coverage of the latest developments.
CJMEA welcomes high-caliber, original, and unpublished research contributions from scholars and practitioners globally, aiming to foster innovation and progress within the Economics and Business Management community.
CJMEA invites high-quality original unpublished research papers from all over the world in the following research areas, but not limited to:

Management:

Strategic Management, Human Resource Management (HRM), Organizational Behaviour, Marketing Management, Financial Management, Operations & Supply Chain Management, Entrepreneurship & Small Business Management, Information Systems & Digital Transformation, E-commerce and digital business strategies, Artificial Intelligence & Business Analytics, International Business Management, Leadership & Corporate Culture, Innovation & Technology Management, Sustainability & CSR, Hospitality, Tourism & Service Management, Healthcare Management, Educational Management, Mathematical and Statistical theories in Management.

Economics:

Classical Economics, Mathematical and Statistical Theories in Economics. Neoclassical Economics, Keynesian & Post-Keynesian Economics, Modern Microeconomics, Modern Macroeconomics, Development Economics, green economy, Innovation and entrepreneurship in the digital age. International Economics, Public Economics, Monetary Economics, Financial Economics, Industrial Organization, Labor Economics, Health Economics, Environmental & Resource Economics, Econometrics, Digital, Artificial intelligence in Economic Modelling and applications, AI in Computational Economics, Applied & Emerging Areas.

Analytics:

Core Analytics: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Big data analytics and data science methodologies, Business Management Applications: Marketing Analytics, Financial Analytics, Supply Chain and Operations Analytics, Human Resource (HR) Analytics, Strategic Management and Decision Making, Advanced Data Analytics for Business, AI and machine learning Applications in Business Management, Economics Applications: Economic Forecasting, Big Data Technologies, Machine Learning and Deep Learning, Data Visualization and Reporting, Data Ethics and Governance, Economic Analytics for Business, AI and machine learning applications in Economics.