Reviewer Guidelines

As a reviewer for Management Science and Business Decisions (MSBD), your role is pivotal in upholding the standards of scientific integrity and rigor. We ask that you provide a thorough, objective, and constructive assessment of the manuscript's timeliness, novelty/originality, and the use of reliable data and appropriate statistical or data analysis methods.

Please be vigilant in identifying potential issues such as plagiarism or the omission of influential works that should have been acknowledged. In this regard, we strongly discourage reviewers from recommending their own published works to the authors. However, if you believe the authors have benefitted from your work but failed to cite it, this concern must be raised exclusively in the 'Confidential Comments for the Editor' section. Furthermore, with the increasing role of technology, we also ask reviewers to help identify any possible use of Generative AI; even if you are not certain, please report any suspicions via the 'Confidential Comments for the Editor' section.

We operate on the principle that no manuscript is perfect, and the peer review process is essential for strengthening scholarly work. Therefore, we strongly discourage reviewers from recommending outright "Acceptance"; instead, please provide constructive feedback for revision, however minor. Your critique should focus on the clarity of the research question, the appropriateness of the methodology, the soundness of the data interpretation, and the accuracy of the conclusions. Please ensure all comments are courteous and professional.

All manuscripts are confidential documents, and we expect you to disclose any potential conflicts of interest. We appreciate your valuable time and expertise, which are essential to the advancement of scholarly communication.