MétaCan
Menu
Back to cohort
Record W4417299556 · doi:10.63329/av3nz1235

Exploring the Influence of Leadership Styles on Organizational Commitment: A Quantitative Study

2025· article· en· W4417299556 on OpenAlexaff
Sukhmandeep Kaur

Bibliographic record

VenueScientific Societal & Behavioral Research Journal · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsNiagara College
Fundersnot available
KeywordsOrganizational commitmentLeadership styleShared leadershipLeadership studiesEthical leadershipSample (material)Transformational leadershipTransactional leadershipOrganization development

Abstract

fetched live from OpenAlex

The relationship between leadership styles and organizational commitment is examined, focusing on how different leadership approaches influence employees’ commitment levels. Organizational commitment is considered a critical factor in employee retention, job satisfaction, and overall organizational performance. A sample of 220 participants from the services sector was drawn and a quantitative analysis was employed to explore the impact of leadership on commitment. Data was collected using validated scales for leadership styles (e.g., ethical, authentic, and inclusive leadership) and organizational commitment. Statistical analyses, including Cronbach’s alpha, correlation, regression, and t-tests, were conducted to test the hypotheses. A significant positive relationship between ethical and authentic leadership styles and organizational commitment was established while a moderate impact was shown by inclusive leadership. The growing body of literature on leadership and organizational behavior benefits from this study. Practical implications proposed that leadership development programs emphasizing ethical and inclusive practices should be prioritized by organizations to enhance employee commitment and ensure organizational success.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.402
GPT teacher head0.436
Teacher spread0.035 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueScientific Societal & Behavioral Research JournalSame topicJob Satisfaction and Organizational BehaviorFrench-language works237,207