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Record W3179339133 · doi:10.3390/jrfm14070306

Employee Organisational Commitment and the Mediating Role of Work Locus of Control and Employee Job Satisfaction: The Perspective of SME Workers

2021· article· en· W3179339133 on OpenAlexvenueno aff
Miston Mapuranga, Eugine Tafadzwa Maziriri, Tarisai Fritz Rukuni, Thobekani Lose

Bibliographic record

VenueJournal of risk and financial management · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionLocus of controlWorkplace spiritualityPsychologyOrganizational commitmentProcedural justiceEmployee engagementBusinessJob designJob attitudeJob performanceSocial psychologyPublic relationsSpiritualityPolitical sciencePerception

Abstract

fetched live from OpenAlex

In Southern Africa, employees play a critical role in the growth of small and medium enterprises (SMEs). As a result, SMEs’ effectiveness depends on the presence of virtuous workplace spirituality and procedural justice, which affects work locus of control, employee job satisfaction, and employee organisational commitment. The researchers looked at how work locus of control, employee job satisfaction, and employee organisational commitment were influenced by workplace spirituality and procedural justice among SME employees in Harare, Zimbabwe. The study data was quantitatively analysed. According to the results, workplace spirituality, procedural justice, and work locus of control all play a role in enhancing employee job satisfaction and commitment. The relationship between workplace spirituality, procedural justice, and employee organisational commitment was positively influenced by work locus of control and employee job satisfaction. The findings of this study are expected to provide valuable insights into the unique key determinants affecting work locus of control, employee job satisfaction, and employee commitment to the organisation.

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.

How this classification was reachedexpand

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)0.002
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 score0.089
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2021
Admission routes1
Has abstractyes

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