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Academic Integrity vs. Academic Misconduct: A Thematic Evolution through Bibliometrics

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Title: Academic Integrity vs. Academic Misconduct: A Thematic Evolution through Bibliometrics
Language: English
Authors: Nadi Suprapto (ORCID 0000-0002-8990-7412), Nurhasan (ORCID 0000-0003-2790-5777), Roy Martin Simamora (ORCID 0000-0002-4796-4750), Ali Mursid (ORCID 0000-0002-6306-4576), M. Arif Al Ardha (ORCID 0000-0002-9192-2072)
Source: Journal of Academic Ethics. 2025 23(3):997-1023.
Availability: BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Peer Reviewed: Y
Page Count: 27
Publication Date: 2025
Document Type: Journal Articles
Information Analyses
Descriptors: Cheating, Plagiarism, Artificial Intelligence, Integrity, Ethics, Deception, Intellectual Disciplines
DOI: 10.1007/s10805-024-09580-1
ISSN: 1570-1727
1572-8544
Abstract: This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to visualize trends. The results indicate the presence of 769 final documents (627 on academic integrity and 142 on academic misconduct) related to the research focus up to 2023. Visual representations show complex relationships and theme changes. The analysis uncovers connections between academic integrity and misconduct, emphasizing criteria such as plagiarism and the misuse of artificial intelligence (AI) tools. Distinct thematic clusters emerge, showcasing diverse dimensions and the impact of AI on misconduct. Interconnected research endeavors underscore dominant themes like cheating and ethical considerations. Thematic evolution reflects shifts from integrity-misconduct dichotomies to emergent issues like online fraud. Disciplinary contributions highlight the interdisciplinary nature of the discourse, drawing insights from social sciences, medicine, arts, business, psychology, and computer sciences. The detailed systematic literature review and survey design, which are dominant in research on academic integrity and misconduct, help build audience confidence. Some insights into academic integrity and misconduct via typical categories or terms have also been illustrated for the insightful reader.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1485737
Database: ERIC
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  Data: Academic Integrity vs. Academic Misconduct: A Thematic Evolution through Bibliometrics
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  Data: <searchLink fieldCode="AR" term="%22Nadi+Suprapto%22">Nadi Suprapto</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-8990-7412">0000-0002-8990-7412</externalLink>)<br /><searchLink fieldCode="AR" term="%22Nurhasan%22">Nurhasan</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-2790-5777">0000-0003-2790-5777</externalLink>)<br /><searchLink fieldCode="AR" term="%22Roy+Martin+Simamora%22">Roy Martin Simamora</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-4796-4750">0000-0002-4796-4750</externalLink>)<br /><searchLink fieldCode="AR" term="%22Ali+Mursid%22">Ali Mursid</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-6306-4576">0000-0002-6306-4576</externalLink>)<br /><searchLink fieldCode="AR" term="%22M%2E+Arif+Al+Ardha%22">M. Arif Al Ardha</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-9192-2072">0000-0002-9192-2072</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Academic+Ethics%22"><i>Journal of Academic Ethics</i></searchLink>. 2025 23(3):997-1023.
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  Data: BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
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  Data: 27
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  Data: <searchLink fieldCode="DE" term="%22Cheating%22">Cheating</searchLink><br /><searchLink fieldCode="DE" term="%22Plagiarism%22">Plagiarism</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Integrity%22">Integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Deception%22">Deception</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+Disciplines%22">Intellectual Disciplines</searchLink>
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  Data: 10.1007/s10805-024-09580-1
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  Data: 1570-1727<br />1572-8544
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  Data: This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to visualize trends. The results indicate the presence of 769 final documents (627 on academic integrity and 142 on academic misconduct) related to the research focus up to 2023. Visual representations show complex relationships and theme changes. The analysis uncovers connections between academic integrity and misconduct, emphasizing criteria such as plagiarism and the misuse of artificial intelligence (AI) tools. Distinct thematic clusters emerge, showcasing diverse dimensions and the impact of AI on misconduct. Interconnected research endeavors underscore dominant themes like cheating and ethical considerations. Thematic evolution reflects shifts from integrity-misconduct dichotomies to emergent issues like online fraud. Disciplinary contributions highlight the interdisciplinary nature of the discourse, drawing insights from social sciences, medicine, arts, business, psychology, and computer sciences. The detailed systematic literature review and survey design, which are dominant in research on academic integrity and misconduct, help build audience confidence. Some insights into academic integrity and misconduct via typical categories or terms have also been illustrated for the insightful reader.
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