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Record W3205452948 · doi:10.5539/ass.v17n11p133

Impact of Leadership Styles on the Organizational Commitment of Medical Practitioners: The Moderating Effects of Workplace Stress

2021· article· en· W3205452948 on OpenAlexvenueno aff
Pubadi A L Govindasamy, Nor Wahiza Abdul Wahat, Siti Noormi Alias, Khairuddin Idris, Seyedali Ahrari

Bibliographic record

VenueAsian Social Science · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsTransactional leadershipTransformational leadershipPsychologyLeadership styleOrganizational commitmentMultilevel modelHealth careSocial psychologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

The healthcare system is now facing several problems, which demands managers and leaders learning from various leadership styles and staff empowerment techniques to establish a work environment that supports medical practitioners' dedication to patients and their company. The present study aims to examine the leadership styles and organizational commitment of medical practitioners at the Melaka State Health Department [Jabatan Kesihatan Negeri Melaka (JKNM)], Malaysia, and the influence of workplace stress. In particular, this study explored the moderating effects of workplace stress on the association between leadership styles and organizational commitment among medical practitioners. The study used a quantitative approach based on the Social Exchange Theory by Homans and Lewin’s Person-Environment Fit Model. The survey involved questionnaires distributed to obtain data from 309 medical practitioners. The data collected were analyzed using description means and hierarchical regression. The results revealed a significant correlation and moderating effect of workplace stress on leadership styles (i.e., Transformational Leadership, Transactional Leadership, and Laissez-Faire Leadership) and organizational commitment among JKNM medical practitioners. This paper also considered the theoretical and practical implications and made recommendations for future research.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.283
Teacher spread0.249 · 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 designTheoretical or conceptual
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

Citations0
Published2021
Admission routes1
Has abstractyes

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