Call for Papers 2026: Global Business Review – SAGE
DETAILS
Call for Papers 2026: Business Analytics and AI for Sustainable Data-Driven Innovation (Global Business Review – SAGE)
Researchers, doctoral scholars, and academic practitioners working in business analytics, artificial intelligence, and data-driven management are invited to submit their research papers for an upcoming special issue of Global Business Review (SAGE Publications).
The special issue focuses on the theme:
“Business Analytics in the Age of AI for Sustainable Data-Driven Innovation and Enhanced Business Performance.”
This call for papers aims to bring together cutting-edge research examining how artificial intelligence (AI), advanced analytics, and big data capabilities are transforming organizations and enabling sustainable innovation and business performance.
About the Journal: Global Business Review
Global Business Review is an internationally recognized peer-reviewed journal published by SAGE Publications. The journal publishes high-quality research across management, business analytics, and strategy domains and follows a rigorous double-blind review process to ensure academic integrity and research quality.
Journal | Global Business Review |
|---|---|
Publisher | SAGE Publications |
ISSN | 0972-1509 |
Publication Frequency | 6 Issues per Year |
Review Process | Double-Blind Peer Review |
Submission Portal |
Why This Special Issue Matters
The rapid advancement of Artificial Intelligence, Big Data, and Business Analytics is redefining how organizations operate, innovate, and compete. Modern firms increasingly rely on data-driven decision-making systems to optimize processes, enhance customer experiences, and achieve sustainable competitive advantage.
In this evolving landscape, emerging technologies such as:
Generative AI
Explainable AI
Advanced predictive analytics
AI-driven business intelligence
are reshaping strategic management and business innovation. This special issue seeks to explore how organizations can harness analytics and AI to drive sustainable innovation, operational excellence, and improved firm performance.
Key Research Themes
The special issue welcomes conceptual, empirical, qualitative, quantitative, and experimental research across multiple domains of business analytics and artificial intelligence.
Marketing Analytics and Customer Intelligence
Research exploring how marketing analytics can drive innovation, customer engagement, and sustainable growth in competitive markets.
Operations and Supply Chain Analytics
Studies focusing on data-driven supply chain management, operational efficiency, and resilience through advanced analytics techniques.
Artificial Intelligence in Business Decision-Making
Research investigating the integration of AI with business analytics to enhance strategic decisions and organizational performance.
Generative AI in Business Innovation
Studies exploring the role of generative AI in product development, marketing strategies, and business process innovation.
Explainable AI and Transparent Decision Systems
Research addressing the importance of interpretability and transparency in AI-driven decision systems.
Ethical Challenges in AI-Driven Analytics
Scholarly contributions exploring ethical implications, governance frameworks, and responsible AI practices.
Sample Topics for Submission
Potential topics include, but are not limited to:
Research Area | Possible Research Themes |
|---|---|
Marketing Analytics | Customer engagement, data-driven marketing strategies |
Customer Analytics | Customer experience optimization using AI |
Operations Analytics | Process optimization and operational efficiency |
Supply Chain Analytics | Data-driven supply chain resilience |
Big Data & AI | Competitive advantage through analytics capabilities |
Generative AI | AI-enabled innovation and digital transformation |
Explainable AI | Transparent AI models for business decision-making |
AI Ethics | Responsible AI adoption and governance |
Guest Editors
The special issue is managed by an international editorial team consisting of scholars from leading universities.
Editor | Institution |
|---|---|
Md Afnan Hossain | University of Adelaide, Australia |
Matthew Pepper | University of Wollongong, Australia |
Muhammad Sabbir Rahman | North South University, Bangladesh |
Md Rifayat Islam | University of Manchester, UK |
Md Golam Kibria | Kean University, USA |
Important Dates
Milestone | Date |
|---|---|
Submission Opening | 1 May 2025 |
Submission Deadline | 31 May 2026 |
Submission Guidelines
Researchers interested in contributing to this special issue should submit their manuscripts through the official submission portal.
Submission Portal
https://mc.manuscriptcentral.com/gbr
During submission, authors should select the article type:
“SI: Analytics & AI in Business.”
All submissions will undergo the journal’s double-blind peer review process before acceptance.
Who Should Submit?
This call for papers is particularly relevant for:
Faculty members and academic researchers
PhD scholars and doctoral researchers
Industry researchers working on data analytics and AI
Scholars working in marketing analytics, operations analytics, and supply chain analytics
Researchers exploring AI applications in management and business strategy
Final Thoughts
Artificial intelligence and advanced analytics are rapidly transforming modern organizations. Understanding how firms can leverage these technologies for sustainable innovation and improved business performance is an important research frontier.
This special issue of Global Business Review offers an excellent opportunity for researchers to contribute to this growing body of knowledge and publish impactful work in a globally recognized journal.
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