International Journal of Business Intelligence and Big Data Analytics
Advancing Research in Business Intelligence and Big Data Analytics for Informed Decision-Making
Peer Review Policy
The International Journal of Business Intelligence and Big Data Analytics employs a rigorous double-blind peer review process, ensuring anonymity for both authors and reviewers to provide an unbiased assessment of all submissions.
| Reviewer Criteria | Evaluation Aspects |
|---|---|
| Expertise in Business Intelligence | Relevance, Clarity, Innovation |
| Experience in Big Data Analytics | Significance, Methodology, Practical Implications |
Each manuscript is reviewed by at least two experts selected based on their field expertise, research history, and publication track record. Reviewers evaluate for originality, significance, and methodological robustness, offering constructive feedback to authors.
Editorial Oversight
The Editor-in-Chief and Associate Editors oversee the peer review process, ensuring constructive feedback and making publication decisions based on reviewer recommendations.
Ethical Standards
- • Reviewer Ethics: Reviewers must disclose conflicts of interest, maintain confidentiality, and provide unbiased and constructive feedback.
- • Author Responsibility: Authors are expected to submit accurate data, acknowledge prior research, and adhere to ethical standards in business intelligence and big data research.
Interested in Submitting Your Research?
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