Questioning the classification of the highest SJR-ranked organizational behavior and human resource management journals by an artificial intelligence tool

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dc.authorid0000-0003-3299-2772
dc.authorid0000-0002-7445-5361
dc.contributor.authorTeixeira da Silva, Jaime A.
dc.contributor.authorFiliz, Mustafa
dc.date.accessioned2026-07-16T05:27:38Z
dc.date.available2026-07-16T05:27:38Z
dc.date.issued2025
dc.departmentAÇÜ, İşletme Fakültesi, Sağlık Yönetimi Bölümü
dc.description.abstractAlthough human endeavor lies at the heart of the mission of organizational behavior and human resource management (OBHRM), artificial intelligence (AI) might threaten that endeavor. Ethical OBHRM journals play a crucial role in ensuring that strictly and rigorously vetted research gets published, and this requires editorial management that does not engage in "predatory" behavior. Using an AI-driven tool (Academic Journal Predatory Checking System) that claims to differentiate "normal" from "suspected predatory" journals, the SCImago Journal Rank's top OBHRM journals (n = 59 Q1 journals) were assessed on 23 October 2024. Surprisingly, 49% of these legacy journals were classified as "suspected predatory", a result that we consider inaccurate. A replication test of the same 59 journals on 1 November 2025 revealed that 34/59 or 58% of them were classified as "suspected predatory" journals, even though no justification or evidence was provided for this classification. Moreover, several of the journals' classifications in 2024 changed in 2025, from "normal" to "suspected predatory" (n = 14), and vice versa (n = 9), again without any stated reasons. Journal and publisher endeavor, including of authors, peer reviewers, editors and other stakeholders invested in ensuring quality control in these journals would surely be negatively impacted by such erroneous characterization. OBHRM researchers are alerted to this AI tool's inability to correctly or accurately classify a journal, placing it into direct conflict with human endeavor of those journals' stakeholders.
dc.identifier.doi10.1007/s12626-025-00196-4
dc.identifier.endpage35
dc.identifier.issn2523-3173
dc.identifier.issn1867-3236
dc.identifier.issue1
dc.identifier.startpage29
dc.identifier.urihttps://hdl.handle.net/11494/6336
dc.identifier.volume20
dc.identifier.wosWOS:001647586800001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.institutionauthorFiliz, Mustafa
dc.institutionauthorid0000-0002-7445-5361
dc.language.isoen
dc.publisherSPRINGER JAPAN KK
dc.relation.ispartofREVIEW OF SOCIONETWORK STRATEGIES
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAccountability
dc.subjectBlacklists or watchlists
dc.subjectPredatory journal detector
dc.subjectTransparency
dc.titleQuestioning the classification of the highest SJR-ranked organizational behavior and human resource management journals by an artificial intelligence tool
dc.typeArticle

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