Ceddi Journal of Management and Business Adaptation (CJMBA) recognizes the increasing use of generative artificial intelligence (GenAI), large language models (LLMs), and other AI-assisted or automated tools in research and scholarly communication. The journal supports the responsible, transparent, and ethical use of such technologies while maintaining the principles of human authorship, accountability, confidentiality, research integrity, and editorial independence.
This policy applies to authors, reviewers, and editors and should be read together with the journal's Publication Ethics and Publication Malpractice Statement and other relevant editorial policies.
Authors may use generative AI and AI-assisted technologies responsibly during manuscript preparation for appropriate supporting purposes, such as improving language, readability, grammar, organization, or clarity. Authors remain fully responsible and accountable for all content submitted to and published by CJMBA.
Authors must critically review, verify, and, where necessary, correct the output of any AI or automated tool used in preparing or conducting their work. AI-generated output must not be assumed to be accurate, complete, unbiased, original, or supported by reliable scholarly sources.
Authors must transparently disclose substantive use of generative AI or AI-assisted technologies in preparing the manuscript when such use goes beyond straightforward spelling, grammar, language correction, editing, or formatting.
Where disclosure is required, authors should identify the tool used and briefly describe how it was used. The disclosure should be provided in the manuscript under the section Declaration of Generative AI Use before the References.
Where AI or machine-learning technologies form part of the research methodology itself, including data analysis, classification, prediction, modeling, coding, or other substantive research procedures, their use must be described transparently and with sufficient methodological detail in the appropriate section of the manuscript.
Generative AI systems, large language models, chatbots, and other automated tools cannot be listed or credited as authors or co-authors. Authorship requires responsibilities and accountability that can only be assumed by human authors.
All listed authors remain responsible for the originality, accuracy, integrity, validity, and reliability of the manuscript and for ensuring compliance with the journal's authorship, research integrity, copyright, citation, and publication ethics requirements.
Generative AI output must not be treated or cited as an authoritative scholarly source. Authors are responsible for consulting, verifying, and citing the original scholarly literature and other appropriate primary or authoritative sources supporting the statements, evidence, and arguments presented in their manuscripts.
Authors must independently verify all references suggested or generated by AI tools. Fabricated, nonexistent, inaccurate, misleading, or unverifiable references are unacceptable.
Generative AI or automated tools must not be used to fabricate, falsify, manipulate, or misrepresent research data, empirical evidence, participant responses, observations, statistical results, business records, organizational information, research findings, or other materials presented as authentic research evidence.
Authors must ensure that all reported data, analyses, interpretations, conclusions, and supporting materials accurately represent the research conducted. The use of AI tools does not reduce or transfer the authors' responsibility for research integrity.
Authors are responsible for ensuring that any AI-generated or AI-assisted images, figures, illustrations, tables, code, or other content used in a manuscript complies with applicable research integrity, copyright, intellectual property, privacy, confidentiality, and ethical requirements.
AI-generated or AI-manipulated content must not be presented in a manner that misrepresents research evidence or creates a misleading representation of the research. Where such tools are used substantively and their use is relevant to understanding or evaluating the work, this use must be transparently disclosed.
Authors must not upload confidential, proprietary, personally identifiable, sensitive, restricted, or otherwise protected research information to generative AI or third-party automated systems when doing so would violate applicable ethical requirements, participant consent, institutional policies, contractual obligations, intellectual property rights, or data-protection requirements.
Authors are responsible for understanding the data-processing, retention, privacy, and confidentiality implications of any AI-assisted technology used in their research or manuscript preparation.
Manuscripts submitted to CJMBA are confidential documents. Reviewers must not upload a submitted manuscript, any part of a manuscript, supplementary material, reviewer form, review report, or confidential editorial communication into public or third-party generative AI systems where doing so may compromise confidentiality, intellectual property, privacy, or data protection.
Reviewers must not use generative AI to replace their independent scholarly assessment or to generate the substantive evaluation, recommendation, or judgment required in the peer-review process. Peer-review reports must reflect the reviewer's own expertise, critical assessment, and professional judgment.
Where limited AI-assisted language editing or rewriting is permitted without disclosure of confidential manuscript content, reviewers remain fully responsible for the accuracy, appropriateness, confidentiality, and integrity of their review.
Editors must protect the confidentiality of submitted manuscripts and associated editorial information. Editors must not upload submitted manuscripts, unpublished research content, peer-review reports, confidential correspondence, or other protected editorial materials into public or third-party generative AI systems where doing so could compromise confidentiality, intellectual property, privacy, or data protection.
Generative AI must not replace an editor's independent scholarly judgment or responsibility for editorial decisions. Decisions concerning editorial screening, reviewer selection, manuscript evaluation, revision, acceptance, rejection, correction, or retraction must remain subject to meaningful human oversight and accountability.
CJMBA may use appropriate automated tools to support editorial processes, including similarity screening and other research-integrity checks. Automated results are treated as supporting information and are not used as the sole basis for editorial decisions.
Where automated tools are used by the journal or publisher as part of routine editorial or publishing workflows, their outputs must be subject to appropriate human review and oversight. The journal remains responsible for editorial decisions and for verifying automated indications of potential integrity concerns before taking substantive action.
The use of generative AI or automated tools does not transfer responsibility from authors, reviewers, editors, or the publisher to the technology. Human participants in the publication process remain responsible and accountable for their respective scholarly and editorial duties.
Authors are ultimately responsible for ensuring that their manuscripts are original, accurate, appropriately referenced, ethically compliant, and free from fabricated or misleading information, including content produced or suggested by AI-assisted technologies.
Suspected undisclosed, inappropriate, deceptive, or unethical use of generative AI or automated tools will be evaluated in accordance with the journal's Publication Ethics and Publication Malpractice Statement and relevant publication ethics guidance.
Depending on the nature and severity of the issue, editorial action may include requesting clarification or disclosure, requiring revision, rejecting a manuscript, correcting the published record, issuing an expression of concern, retracting an article, or taking other appropriate action.
Generative AI and automated technologies are evolving rapidly. CJMBA may review and update this policy in response to developments in scholarly publishing standards, research integrity practices, technology, applicable regulations, and guidance from recognized publication ethics organizations.
This policy is informed by internationally recognized principles of responsible scholarly publishing and relevant guidance from the Committee on Publication Ethics (COPE).
Questions concerning the use of generative AI, AI-assisted technologies, or automated tools in manuscripts submitted to CJMBA may be directed to the editorial office at admin@ceddi.id.
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Email: ceddidigital@gmail.com | admin@ceddi.id
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All articles published in the Ceddi Journal of Management and Business Adaptation (CJMBA) are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) .
