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Record W2024517399 · doi:10.5539/ibr.v7n3p91

Human Resource Strategies as a Mediator between Leadership and Organizational Performance

2014· article· en· W2024517399 on OpenAlexvenueno aff
Abdulrahman Alsughayir

Bibliographic record

VenueInternational Business Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLeadership styleKnowledge managementOrganizational performanceHuman resourcesPsychologyAffect (linguistics)Structural equation modelingResource (disambiguation)Human resource managementOrganizational commitmentOrganizational behavior and human resourcesBusinessManagementComputer scienceSocial psychologyEconomics

Abstract

fetched live from OpenAlex

Leadership style is a kind of method that aims to realize organizational targets and affect all organizational activities. This quantitative study focused on various business domains in Saudi Arabia to examine how leadership styles are related to human resource strategies and organizational performance. The study adopted the self-administered survey methodology technique using a pre-validated pre-piloted questionnaire. Data were analyzed using Structural Equation Modelling. A total of 270 questionnaires were distributed with a response rate 92.9% based on a convenience method. Our survey found a direct positive relationship between leadership style and organizational performance and an indirect relationship between leadership style and human resource strategy as a mediator, while human resource strategies contribute positively and significantly to organizational performance. The findings are relevant for operating human resource management strategies and for developing a style of leadership. An enterprise can use this information to promote recognition and devotion among its employees based on a range of strategies, and then creates overall performance of the organization. Also, it is possible to use different leadership styles for different strategies. Consequently, this study has both theoretical and practical reference value.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.546

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 studies0.0010.000
Scholarly communication0.0010.001
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 head0.068
GPT teacher head0.320
Teacher spread0.251 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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