The Journal of Performance Management (JPM) recognizes the growing use of Generative Artificial Intelligence (AI) technologies in academic research and scholarly publishing. While AI tools can assist researchers in improving efficiency, productivity, and communication, their use must be transparent, ethical, and consistent with the principles of research integrity.
This policy establishes the journal’s requirements regarding the use of Generative AI and AI-assisted technologies in manuscript preparation, peer review, and editorial processes. The policy aims to ensure accountability, transparency, originality, and the reliability of published research.
This policy applies to all participants in the publication process, including:
It covers the use of Generative AI systems such as large language models, AI writing assistants, image-generation tools, data-analysis assistants, and similar technologies.
Authors may use Generative AI tools to assist with:
However, authors remain fully responsible for all content submitted to the journal.
The use of AI does not transfer responsibility for the accuracy, originality, validity, or integrity of the work.
Authors must disclose any significant use of Generative AI tools in the preparation of their manuscript.
Where applicable, authors should provide a statement describing:
Example disclosure:
"The authors used a Generative AI tool for language editing and readability enhancement. All content was reviewed, verified, and approved by the authors, who take full responsibility for the final manuscript."
The Editor may request additional information regarding AI use if necessary.
Generative AI systems do not meet the criteria for authorship and cannot be listed as authors or co-authors of a manuscript.
AI systems:
Authorship is limited to human contributors who satisfy the journal’s authorship requirements.
Authors remain solely responsible for:
Authors must carefully review all AI-assisted outputs before submission.
The following practices are not permitted:
Any misuse of AI may be treated as research misconduct.
Authors must ensure that confidential, proprietary, personal, or sensitive research data are not uploaded to AI systems in violation of privacy, confidentiality, legal, contractual, or ethical obligations.
Researchers remain responsible for protecting participant confidentiality and data security.
If AI-generated or AI-assisted images, illustrations, graphics, or visual materials are included in a manuscript:
Reviewers must maintain strict confidentiality regarding manuscripts under review.
Reviewers should not upload confidential manuscript content, data, figures, or unpublished research materials into public AI systems or external AI platforms without explicit authorization from the journal.
Reviewers remain personally responsible for the content and quality of their reviews.
Editors may use AI-assisted tools for administrative support, language improvement, or workflow management where appropriate.
However, editorial decisions regarding:
Editorial responsibility cannot be delegated to AI systems.
The journal reserves the right to:
All authors, reviewers, and editors are expected to comply with this policy as part of the journal’s broader commitment to research integrity, transparency, and ethical publishing.
Violations may lead to:
The Journal of Performance Management supports the responsible and transparent use of Generative Artificial Intelligence in scholarly communication. While AI technologies can assist researchers and publishing professionals, human authors, reviewers, and editors remain fully accountable for the integrity, accuracy, originality, and ethical standards of all published content. The journal encourages innovation while safeguarding the credibility and trustworthiness of the scholarly record.