Artikel

Do not feed the predators

This study investigates the prevalence and characteristics of papers published in popular predatory journals by South African academics in economic and management sciences. Our aim is to raise awareness and to deepen understanding of the predatory publishing phenomenon. We collected 728 recent (2013 to mid-2016) articles with South African authors in five popular in the field journals classified as ‘potential, possible, or probable predatory' according to Beall's list. Our data shows that publishing in these predatory journals is widespread across authors and universities. However, the data also shows that most of the authors only published once in these journals, suggesting that they perhaps mistakenly perceived the journals as being legitimate research outlets. We found evidence of low-quality publishing by the journals in our data, consistent with deficient peer review and copy editing processes. Thus, low-quality publishing was evident from spelling and grammar mistakes in the titles of articles, publishing the same paper twice in the same journal, so-called ‘salami slicing', and the publishing of an article already published in another journal.

Language
Englisch

Bibliographic citation
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 48 ; Year: 2017 ; Issue: 3 ; Pages: 35-45 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Classification
Management

Event
Geistige Schöpfung
(who)
de Jager, P.
de Kock, F.
van der Spuy, P.
Event
Veröffentlichung
(who)
African Online Scientific Information Systems (AOSIS)
(where)
Cape Town
(when)
2017

DOI
doi:10.4102/sajbm.v48i3.34
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • de Jager, P.
  • de Kock, F.
  • van der Spuy, P.
  • African Online Scientific Information Systems (AOSIS)

Time of origin

  • 2017

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