Special Issue on Applied Management and Analytics

Applied Management and Analytics is an interdisciplinary field that focuses on the practical use of data, quantitative methods, and analytical tools to enhance managerial decision-making and organizational performance. It integrates principles from management science, statistics, operations research, and information systems to transform raw data into actionable insights across business functions such as operations, finance, marketing, and human resources. By leveraging techniques such as predictive modeling, data visualization, and process optimization, this field supports evidence-based strategies, improves efficiency, and enables organizations to respond effectively to dynamic and complex environments. As digital transformation accelerates, applied management and analytics play a critical role in driving innovation, competitiveness, and sustainable growth.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring Applied Management and Analytics. Potential topics include, but are not limited to:

• Business analytics
• Data-driven decision making
• Operations research
• Supply chain analytics
• Financial analytics
• Marketing analytics
• Human resource analytics
• Strategic management analytics
• Risk and compliance analytics
• Process mining and optimization
• Performance management systems
• Decision support systems
• Big data management
• Predictive and prescriptive analytics
• Organizational behavior analytics
• Digital transformation management

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Applied Management and Analytics” should be selected during your submission.

Special Issue Timetable:

Guest Editor:

Dr. Ameha Tefera Tessema

University of South Africa, South Africa

For further questions or inquiries, please contact Editorial Assistant at jss@scirp.org.