JAMBAK: Jurnal Riset Manajemen, Bisnis, Akuntansi dan Ekonomi recognizes that generative artificial intelligence (Generative AI or GenAI) and AI-assisted technologies may support certain aspects of research, writing, editing, and scholarly communication. However, their use must not compromise research integrity, confidentiality, intellectual property, transparency, accountability, or the independence of editorial and peer-review decisions.
This policy applies to authors, editors, peer reviewers, and editorial staff involved in manuscripts submitted to JAMBAK.
The use of generative AI must remain subordinate to human scholarly judgment. AI tools may assist legitimate scholarly activities, but they cannot replace the intellectual responsibility, critical reasoning, methodological judgment, originality, or accountability of human researchers, editors, and reviewers.
The following principles apply:
Authors may use generative AI or AI-assisted technologies for limited and legitimate supporting purposes, provided such use does not replace the authors' own intellectual and scholarly contribution.
Permitted uses may include:
Authors must critically review, verify, and take full responsibility for all AI-assisted content before submission.
Authors must not use generative AI to:
The use of AI-assisted tools for data analysis, coding, modeling, classification, simulation, or other analytical procedures is permitted only when the use is scientifically appropriate, transparent, reproducible where applicable, and subject to independent human verification.
Where AI materially contributes to data analysis or research methodology, authors must describe the tool, model or system used, its purpose, relevant procedures, and the manner in which outputs were verified.
AI-generated analytical outputs must not be accepted without critical evaluation by the authors. The authors remain fully responsible for the validity, reliability, interpretation, and reporting of all results.
AI-generated or AI-assisted figures, illustrations, or other visual materials must not be used in a manner that misrepresents research evidence.
Where AI-generated visual materials are used for legitimate illustrative purposes, their use must be clearly disclosed in the manuscript or figure caption where relevant.
Images representing empirical evidence, experimental results, research participants, documents, or observational data must not be artificially generated or manipulated in ways that could mislead readers.
Generative AI systems, large language models, chatbots, and other AI tools cannot be listed as authors or co-authors of manuscripts submitted to JAMBAK.
Authorship requires accountability, approval of the final manuscript, responsibility for research integrity, disclosure of conflicts of interest, and the ability to respond to questions concerning the work. AI systems cannot fulfill these responsibilities.
Authors must disclose the material use of generative AI or AI-assisted technologies during the preparation, analysis, visualization, or reporting of a manuscript.
The disclosure should identify, where relevant:
Routine spelling correction, basic grammar checking, reference-manager functions, and conventional non-generative software generally do not require disclosure unless they materially influence the scholarly content of the manuscript.
Authors who used generative AI may include a statement such as:
Artificial Intelligence Use Statement: During the preparation of this manuscript, the authors used [name and version of tool] for [specific purpose]. All AI-assisted output was critically reviewed, verified, and revised by the authors. The authors take full responsibility for the accuracy, originality, integrity, and final content of the manuscript.
If generative AI was not used, authors may state:
Artificial Intelligence Use Statement: The authors declare that no generative artificial intelligence tools were used to generate substantive scholarly content, analyze research data, or produce the conclusions reported in this manuscript.
Editors are responsible for maintaining confidentiality, editorial independence, academic integrity, and human accountability throughout the editorial process.
Editors must not upload submitted manuscripts, manuscript excerpts, tables, figures, unpublished data, reviewer reports, author identities, or other confidential editorial materials into publicly accessible or unauthorized generative AI systems.
Generative AI must not independently determine:
Final editorial judgments and decisions must always be made by qualified human editors.
Where an editor uses an approved AI-assisted tool for limited administrative or technical support, such use must comply with confidentiality, privacy, intellectual property, and data-security requirements. Material use of AI in an editorial function should be transparently disclosed where appropriate.
Peer reviewers are prohibited from using generative AI systems to analyze, evaluate, summarize, assess, or generate substantive peer-review comments on manuscripts assigned to them by JAMBAK.
Reviewers must not upload or enter into ChatGPT, Gemini, Claude, Copilot, or other generative AI or external AI systems any confidential material obtained through the peer-review process, including:
Reviewers must personally evaluate the manuscript and prepare their review reports using their own scholarly expertise, critical judgment, and independent assessment.
Generative AI must not be used by reviewers to:
These restrictions are intended to protect manuscript confidentiality, authors' intellectual property, unpublished research, data security, and the integrity and independence of the peer-review process.
If a reviewer has used an AI system in a manner inconsistent with this policy, the reviewer must immediately notify the Editorial Office. The editor may discontinue the review, disregard the affected report, appoint another reviewer, or take other appropriate action.
Submitted manuscripts are confidential scholarly documents. Authors, editors, reviewers, and editorial staff must ensure that the use of AI tools does not expose confidential information, personal data, unpublished findings, copyrighted content, proprietary information, or intellectual property to unauthorized third parties.
Users are responsible for understanding the privacy, data-retention, training-data, and intellectual-property terms of any AI system they use.
Confidential editorial and peer-review materials must never be submitted to public generative AI systems.
Generative AI systems may generate inaccurate, incomplete, biased, outdated, fabricated, or unverifiable information.
Authors must independently verify all AI-assisted factual claims, calculations, references, quotations, DOIs, statistical information, and interpretations.
The inclusion of fabricated references, nonexistent sources, false quotations, invented data, or other hallucinated content may constitute a breach of research and publication ethics.
AI-generated responses should not be treated as authoritative scholarly evidence when appropriate primary or peer-reviewed sources are available.
Authors are expected to cite the original scholarly sources supporting claims and arguments rather than relying on AI-generated summaries of those sources.
If the use of a particular AI system itself constitutes part of the research method or research object, the tool should be identified transparently in the methodology and documented sufficiently to support scholarly evaluation and reproducibility.
Authors remain fully responsible for all content in manuscripts submitted to JAMBAK, regardless of whether AI-assisted technologies were used.
This responsibility includes:
Editors remain responsible for editorial decisions, while reviewers remain responsible for the independence, confidentiality, quality, and integrity of their review reports.
Suspected violations of this policy may be investigated by the Editorial Team. Depending on the nature and severity of the issue, JAMBAK may:
Actions will be determined according to the evidence, severity of the issue, publication stage, and applicable publication-ethics principles.
This Generative Artificial Intelligence Policy should be read together with JAMBAK's Publication Ethics, Peer Review Process, Author Guidelines, Copyright and Licensing, Conflict of Interest, and related editorial policies.
For peer-review requirements, please also refer to the Peer Review Process.
For broader publication-ethics requirements, please refer to the Publication Ethics and Publication Malpractice Statement.
JAMBAK may periodically review and update this policy in response to developments in generative artificial intelligence, research integrity, scholarly publishing, data protection, publication ethics, and journal accreditation requirements.
The version published on the official JAMBAK website constitutes the journal's current Generative Artificial Intelligence Policy.
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This journal adheres to Principles of Transparency and Best Practice in Scholarly Publishing identified by the Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishing Association (OASPA), and the World Association of Medical Editors (WAME).
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