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Record W2802040744 · doi:10.5539/gjhs.v10n6p77

The Effect of Leadership Behaviours on the Change Process in Healthcare Organisations in Saudi Arabia

2018· article· en· W2802040744 on OpenAlexvenueno aff
Mohammad Faleh Alharbi

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careProcess (computing)Sample (material)Organisational changePsychologyTask (project management)Public relationsBusinessPolitical scienceManagementComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this empirical study was to explore and determine the influence of leadership behaviors on the organisational change process in healthcare organisations in the Kingdom of Saudi Arabia.METHODS: Primary data were collected from a sample of 272 employees in hospitals in the Al-Qassim region. The study used a self-administered questionnaire to examine the role of leadership behaviors (task-, relations-, and change-oriented leadership behaviors) on the organisational change process in healthcare organisations. Cross-sectional data were analyzed using SPSS.RESULTS: Positive and significant relations were found between leadership behaviors and the organisational change process contributed 54% of the variation in the dependent variable (R2 = 0.54).CONCLUSIONS: The findings of this research are highly significant, as they can give managers and organisational leaders a more profound insight into the behaviors and practices required to improve healthcare organisations’ performance during implementation of the change process.

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)0.003
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 score0.134
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.078
GPT teacher head0.330
Teacher spread0.252 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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