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Plagiarism Policy
Econova: A Journal of Business, Commerce, and Economic Research is committed to maintaining originality, academic integrity, and ethical standards in scholarly publishing. The journal does not tolerate plagiarism, inappropriate duplication, or misrepresentation of previously published or unpublished work.
Plagiarism Screening
All submitted manuscripts may be screened using appropriate plagiarism or similarity-detection software before or during the editorial and peer review process.
A similarity percentage alone is not considered conclusive evidence of plagiarism. The editorial team evaluates the source, nature, extent, and context of identified similarities before making a decision.
Forms of Plagiarism
Plagiarism may include:
- copying text, ideas, data, figures, tables, or other material without proper attribution;
- presenting another person's work or ideas as one's own;
- inappropriate paraphrasing without proper citation;
- substantial reuse of an author's previously published work without appropriate citation or disclosure (self-plagiarism);
- reproducing copyrighted material without appropriate acknowledgement or permission where required; and
- submitting substantially duplicated or redundant work without proper disclosure.
Editorial Action
If potential plagiarism is identified before publication, the journal may request clarification or revision from the authors. Manuscripts containing substantial or serious plagiarism may be rejected.
If plagiarism is discovered after publication, the journal will assess the matter and may issue a correction, retraction, or other appropriate editorial notice, depending on the nature and severity of the case.
Authors are responsible for ensuring the originality of their manuscripts, properly citing all sources, and obtaining permission for third-party copyrighted material where required.
Commitment to Academic Integrity
The journal handles plagiarism concerns fairly and on the basis of available evidence. Editorial decisions consider the nature and context of identified material rather than relying solely on a numerical similarity score.



























