The DOI matches its Crossref record.
IMPROVING TRUST THROUGH ETHICAL LEADERSHIP: MOVING BEYOND THE SOCIAL LEARNING THEORY TO A HISTORICAL LEARNING APPROACH
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Former domain of an international peer-reviewed publishing website that featured various critical approaches on media and mass communication along with discussions on the developments in the cultural, social, and political spheres.
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Factors thought to influence teachers in the knowledge reflection process are teacher self-efficacy, trust, and work engagement.
“Factors that are thought to influence teachers in the knowledge reflection process are teacher self-efficacy (Want et al., 2019), trust (Osifo, 2016), and work engagement (Drewniak & Karaszewski, 2016; Engelbrecht, Heine & Mahembe, 2017; Men, 2015).”
From Influence of the Principal's Digital Leadership on the Reflective Practices of Vocational Teachers Mediated by Trust, Self Efficacy, and Work Engagement (2020) · cites this paper as Osifo, 2016
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Agustina, R., Kamdi, W., Hadi, S., Muladi, M., & Nurhadi, D. (2020) · International Journal of Learning, Teaching and Educational Research · doi:10.26803/ijlter.19.11.2 · Cited by 43
Metadata
- Authors
- Osifo, O. C.
- Affiliations
- University of Vaasa (FI)
- Corresponding author
- Osifo, Omoregie Charles
- Venue
- Journal of Media Critiques
- Published
- 2016-12-17
- Volume
- 2
- Issue
- 8
- Pages
- 11-24
- ISSN
- 2056-9785 (ISSN-L)
- 2056-9793
- OpenAlex
- W2564583786
- Cited by
- 7
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Media Critiques (publishedVersion)
- Topics
- Social Sciences › Communication › News Media Framing and Political Communication
- Social Sciences › Communication › Journalism and Media Studies
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- ethical leadership, trust, social learning theory, organizational trust
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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