Reviewers
Reviewers
Journal of Decision Science and Modeling (JDSM) works with qualified reviewers who have expertise in relevant areas of decision science, data analytics, mathematical and computational modeling, information systems, artificial intelligence, software engineering, and related interdisciplinary fields.
Peer Review Process
All submitted manuscripts are evaluated through a rigorous peer-review process. Reviewers assess manuscripts based on their originality, scientific contribution, methodological quality, clarity of presentation, relevance to the journal's scope, and overall academic quality.
Reviewer Board
01
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
02
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
03
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
04
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
05
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
06
[Full Name]
Reviewer
[Department / Faculty / Institution]
Expertise: [Field of Expertise]
Review Criteria
01. Originality
Novelty and originality of the research contribution.
02. Methodology
Appropriateness and rigor of the research methodology.
03. Contribution
Scientific, theoretical, or practical contribution of the research.
04. Clarity
Clarity, organization, and quality of academic presentation.
Reviewer Responsibilities
Reviewers are expected to maintain confidentiality, provide objective and constructive feedback, disclose potential conflicts of interest, and evaluate manuscripts fairly and independently. Reviewers should not use unpublished information obtained through the review process for personal or professional advantage.
The reviewer list may be updated periodically according to the journal's editorial requirements and the expertise needed for submitted manuscripts.
