Generative AI Policy

P-ISSN: 3051-2778 E-ISSN: 3051-2786
Generative AI Policy

The GRWS International Journal of Applied Commerce and Strategic Management permits the responsible use of generative artificial intelligence and AI-assisted tools in research and manuscript preparation, provided that such use is transparent, ethical, and does not replace human scholarly judgement.

Author Responsibilities & Accountability

Authors may use AI-assisted tools for language polishing, translation, data processing, coding, or manuscript formatting. However, human authors retain complete responsibility for accuracy, originality, data integrity, reference verification, confidentiality, ethical compliance, and final conclusions.

Authorship Criteria Restriction

AI tools and large language models (LLMs) must not be listed as authors or co-authors under any circumstances. Artificial intelligence tools cannot take responsibility for published research, declare conflicts of interest, or enter into legal publication agreements.

Mandatory Disclosure Requirements

Substantial use of generative AI in manuscript preparation must be explicitly declared within the text. The disclosure statement must detail:

Tool Details

State the exact name and version of the generative AI platform or tool used.

Purpose of Assistance

Explain the specific purpose (e.g., data analysis, code optimization, draft translation).

Section Supported

Identify which section, activity, or analytical workflow was supported by the tool.

* Note: Routine spelling, grammar correction, or basic reference formatting software does not require detailed disclosure.
Strictly Prohibited AI Applications
• Fabricating research data, experimental results, participants, or survey records.
• Generating false, unconsulted, or unverifiable literature references and DOIs.
• Manipulating empirical findings or concealing plagiarised text and ideas.
• Creating misleading images, synthetic figures, or fake analytical charts.
• Replacing required human scholarly evaluation or critical academic judgment.
• Uploading confidential research data into unsecured public platforms.
Peer Review & Editorial Standards

Reviewers and editors are strictly prohibited from uploading unpublished manuscripts, review reports, author information, or confidential editorial material into public generative AI systems. While AI tools may assist with administrative processing, they must never replace independent editorial evaluation, manuscript screening, or reviewer recommendations.

Final Accountability & Misuse Consequences

Any inaccurate, fabricated, plagiarised, or unethical content produced through AI-assisted tools remains the sole responsibility of the human authors. Failure to disclose material AI usage or misuse of generative tools may result in immediate manuscript rejection, formal correction, retraction, or institutional reporting.