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Record W4321435026 · doi:10.1080/12460125.2023.2180139

The impact of social media use on the autonomy and organisational citizenship behaviour of faculty members in Kenyan private universities

2023· article· en· W4321435026 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Decision System · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAutonomyAffect (linguistics)Social mediaPsychologyKenyaSocial capitalSocial psychologyOrganizational citizenship behaviorSocial cognitive theoryPublic relationsSociologyPolitical scienceOrganizational commitmentSocial science

Abstract

fetched live from OpenAlex

As the impact of social media grows, understanding the mechanisms through which social media affects employee behaviour increases. Employing social capital theory, we investigate the mechanisms through which social media usage affects organisational citizenship behaviour (OCB) of faculty in Kenyan private universities. OCB is an important aspect of universities’ performance, given the high level of autonomy in universities. We develop a theoretical model that posits direct links to OCB of three social media usages (social, cognitive, and hedonic) which affect OCB. We also posit indirect links (using autonomy as a mediator) that affect faculty’s intrinsic motivation for OCB. Using descriptive cross-sectional survey, a mediated model was tested on 388 faculty. Results revealed: 1) social media usage significantly impacts OCB, with social and cognitive having a positive relationship, and hedonic having a negative relationship with OCB; 2) social media usage tends to increase autonomy. Findings of this study contribute towards job performance improvement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.349
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it