Peer Review Process

Management Analysis Journal applies a double-blind peer review process to ensure the quality, validity, and academic integrity of all published articles. In this process, the identities of both authors and reviewers are concealed from each other to maintain objectivity and minimize potential bias. All manuscripts submitted to this journal must follow the focus and scope as well as the author guidelines of Management Analysis Journal. The submitted manuscripts must demonstrate appropriate scientific merit and/or novelty relevant to the journal’s scope. All manuscripts must be free from plagiarism content. Authors are strongly encouraged to use plagiarism detection software to conduct similarity checks prior to submission. The editorial team screens all manuscripts using similarity detection software, and the similarity index must not exceed 20%.

Each manuscript is initially evaluated by the editorial team to assess its suitability, originality, ethical compliance, and adherence to the journal’s guidelines. Manuscripts that pass this initial screening are then subjected to a double-blind peer review process involving at least two (2) or more independent expert reviewers. Reviewers provide objective, constructive, and scientifically valuable comments to improve the quality, clarity, and rigor of the manuscript.

Artificial Intelligence (AI) Usage Policy

Management Analysis Journal acknowledges the use of Artificial Intelligence (AI)–based tools to support academic writing and research activities. Authors are permitted to use AI tools only for language editing, grammar checking, and readability improvement. The use of AI tools for generating substantive scientific content, data analysis, interpretation of results, or drawing conclusions is not permitted.

Authors must ensure that all content generated or assisted by AI tools is accurate, original, and free from plagiarism, and they remain fully responsible for the integrity, originality, and ethical standards of their manuscripts. Any use of AI tools must be clearly disclosed in the manuscript, including the name and purpose of the AI tool used. AI tools cannot be listed as authors or co-authors.

Editors and reviewers may use AI-assisted tools to support the editorial and review process, such as for plagiarism detection or language assessment, while maintaining confidentiality and ethical standards.

Based on the reviewers’ evaluations and recommendations, the Editors make the final decision regarding manuscript acceptance, which may include acceptance, acceptance with minor revisions, acceptance with major revisions, or rejection. Authors are required to revise their manuscripts in accordance with the reviewers’ comments within the specified timeframe.

The publication of accepted articles, including the sequence of publication, is determined by the Editor-in-Chief, taking into consideration the date of acceptance, the geographical distribution of authors, and alignment with thematic issues of the journal.