Screening for Plagiarism

All manuscripts submitted to the Journal of Integrated Management Systems (JIMS) are subject to a rigorous plagiarism screening process prior to peer review. This process is conducted to ensure the originality, authenticity, and academic integrity of the submitted work.

The journal utilizes similarity detection tools such as Turnitin to identify potential instances of plagiarism by comparing the manuscript against a comprehensive database of published works, academic sources, and internet content. The acceptable similarity index for submitted manuscripts must not exceed 25%. In addition, language and writing evaluation tools, including Grammarly, may be used to support the assessment of writing quality and detect potential irregularities. The journal may also employ AI-detection tools, such as QuillBot, as part of its efforts to identify the inappropriate or undisclosed use of AI-generated content. The level of AI-generated content detected in a manuscript must not exceed 25%.

Manuscripts found to contain a high level of similarity, unreferenced citations, or indications of plagiarism will be returned to the authors for revision or may be rejected outright, depending on the severity of the issue. Authors are expected to ensure that all sources are properly cited and that their submissions represent original work that has not been published or submitted elsewhere.

This screening process reflects JIMS’s commitment to upholding ethical publication standards and maintaining the quality and credibility of the research it publishes.