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American Scientific Publishing Group

verified Journal

American Journal of Business and Operations Research

ISSN
Online: 2692-2967 Print: 2770-0216
Frequency

Continuous publication

Publication Model

Open access journal. All articles are freely available online with no APC.

American Journal of Business and Operations Research

Aim and Scope

Aim and Scope

The journal is dedicated to advancing research in Business Intelligence and Business Data Analytics by promoting the development, evaluation, and practical application of data-driven approaches, analytical models, and intelligent systems for effective decision-making in complex business environments.

The journal publishes high-quality theoretical, empirical, and applied research that utilizes advanced analytics, machine learning, optimization, and computational intelligence to support strategic, tactical, and operational business decisions. Particular emphasis is placed on innovative methodologies, real-world implementations, and the integration of analytics into business processes to enhance organizational performance, efficiency, competitiveness, and sustainability.

The journal welcomes interdisciplinary contributions that connect business analytics, operations research, management science, intelligent decision support, information systems, and digital transformation. Submitted manuscripts are evaluated based on originality, methodological rigor, relevance to the journal’s scope, and their contribution to both academic knowledge and practical business applications.


Topics of Interest

The journal welcomes original research articles, review papers, case studies, and applied research contributions in areas including, but not limited to, the following:

  • Business Intelligence and Data-Driven Decision Making

  • Business Data Analytics and Predictive Modeling

  • Machine Learning Applications in Business

  • Decision Support Systems and Intelligent Systems

  • Financial Analytics and Forecasting

  • FinTech and Data-Driven Financial Services

  • Supply Chain Analytics and Optimization

  • Inventory and Resource Allocation Models

  • Risk Analytics and Business Forecasting

  • Customer Analytics and Segmentation

  • Revenue Management and Pricing Analytics

  • Network Optimization and Logistics Analytics

  • Operations Research for Business Intelligence

  • Big Data Analytics for Business Applications

  • Artificial Intelligence for Business Process Improvement

  • Digital Transformation and Business Analytics