The Journal of Management and Labour is committed to upholding the highest standards of publication ethics. All stakeholders involved in the publication process, including authors, reviewers, editors, and the publisher, are expected to adhere to ethical principles. The journal follows the guidelines and best practices established by the Committee on Publication Ethics.
All submitted manuscripts must comply with research and publication ethics. Authors are responsible for obtaining ethical approval where required. For manuscripts that successfully pass the peer review process, an official ethics committee approval document is requested prior to publication. Manuscripts without such documentation will not be published.
Ethics committee approval is required for the following types of research (applicable to submissions from 2022 onwards):
Studies involving data collection from participants using surveys, interviews, focus groups, observations, or experiments
Research involving human or animal subjects (including data and materials)
Clinical studies conducted on human participants
Research involving animals
Retrospective studies involving personal data under data protection regulations
In line with its publication ethics policy, the Journal of Management and Labour requires all submitted manuscripts to undergo plagiarism screening to ensure originality. Authors must analyze the full text of their manuscripts using iThenticate and submit the similarity report at the time of submission.
The journal sets a similarity threshold of 15%. Manuscripts exceeding this threshold may be rejected at the editorial stage or returned to the authors for revision.
The Editorial Board evaluates the similarity report and makes the final decision regarding the manuscript’s compliance with ethical standards.
The Journal of Management and Labour requires transparency and adherence to ethical standards in the use of artificial intelligence (AI) and similar automated tools. Authors may use AI tools for language editing, proofreading, or technical assistance; however, such tools cannot be listed as authors, and full responsibility for the content remains with the authors.
Any use of AI tools must be clearly disclosed, including the extent and purpose of their use. AI tools must not be used to generate data, conduct analysis, interpret results, or produce original scholarly contributions. Editors and reviewers must not use AI tools in ways that could compromise the confidentiality of the peer review process.