The intersection of business analytics and decision support systems continues to shape how organizations analyze data and make informed strategic choices. To further look and publish cutting-edge research in this evolving field, we are pleased to announce a Special Issue focused on Business Analytics and Decision Support Systems.
This special issue invites original research papers, case studies, reviews, and conceptual frameworks that explore theoretical developments, practical applications, and innovations in data-driven decision-making.
Purpose
The primary goal of this special issue is to bridge the gap between analytical methods and real-world decision support applications. It aims to bring together contributions from academia, industry, and practitioners that focus on solving business problems through data, models, and intelligent systems.
We welcome work that addresses both technical advancements and managerial implications in the field.
Topics
Submissions should focus on topics related, but not limited, to the following areas:
| Focus Area | Sample Topics |
|---|---|
| Business Intelligence | Dashboards, OLAP, performance metrics |
| Predictive Analytics | Machine learning, forecasting models, trend analysis |
| Prescriptive Analytics | Optimization, simulation, decision modeling |
| Decision Support Systems (DSS) | DSS design, implementation, evaluation, architecture |
| Data-Driven Decision Making | Data integration, visualization, real-time decision engines |
| Sector-Specific Applications | Healthcare, finance, marketing, supply chain |
| Emerging Technologies | AI, big data analytics, cloud-based DSS |
We encourage cross-disciplinary papers that link analytics with business strategies or policies.
Submission
Authors should ensure that their submissions are original, unpublished, and not under review elsewhere. All papers will go through a double-blind peer review process to maintain high academic standards.
Submission Guidelines:
- Manuscript length: Up to 8,000 words
- Format: APA or journal-specific style
- Language: English only
- Deadline for submission: June 30, 2026
- Notification of acceptance: August 15, 2026
- Publication date: October 2026
Detailed submission instructions and formatting templates are available on the journal’s website.
Editorial
The special issue will be managed by a panel of guest editors with expertise in business analytics, information systems, and decision science. The editorial board includes:
- Dr. Emily Zhang, University of Technology Sydney
- Prof. Ahmed Al-Farouq, King Saud University
- Dr. Lina Morales, Universidad de los Andes
- Prof. Jason Reed, University of Minnesota
These editors bring international perspectives and industry-academic experience to ensure the issue’s quality and relevance.
Audience
This special issue will be of interest to:
- Academic researchers in analytics, IS, and management science
- Industry professionals developing data-driven solutions
- Graduate students in business analytics and DSS programs
- Policy makers looking to integrate analytics into strategic planning
It is intended as a platform for sharing theoretical insights and practical innovations that can impact decision-making at multiple levels.
Contact
For questions regarding the special issue, submission process, or scope of topics, please contact the editorial office at:
Email: analytics_special@journal.org
Subject Line: Special Issue Inquiry – Business Analytics and DSS
We look forward to your contributions and to advancing the conversation in this critical area of business technology and strategy.
FAQs
What is the deadline for submission?
June 30, 2026 is the final date for manuscript submissions.
Can I submit a case study or review paper?
Yes, case studies and reviews are welcome for this issue.
Who are the guest editors?
Four international experts including Dr. Emily Zhang and Prof. Reed.
Is the review process double-blind?
Yes, all submissions will undergo double-blind peer review.
Are interdisciplinary papers encouraged?
Yes, cross-disciplinary submissions are highly encouraged.