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Record W4411618393 · doi:10.51847/hmxtiyqjet

10.51847/hmxtiyQjEt

2000· article· en· W4411618393 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational citizenship behaviorEmpowermentHuman resource managementBusinessHuman resourcesPsychologyKnowledge managementBusiness administrationOrganizational commitmentManagementSocial psychologyComputer scienceEconomicsEconomic growth

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effect of human resource empowerment on OCB.The population of this research was 130 employees of Tabriz Oil Company and a sample of 97 people were selected based on Cochran Formula.Data were collected by empowerment questionnaire and citizenship behavior questionnaire.Kolmogorov-Smirnov test was used to test the normality of the data, Pearson test to find R, and regression analysis to test the hypotheses.The results showed that intellectual abilities, physical abilities, communication, knowledge, skills and motivation have a positive effect on citizenship behavior.In the next step, Friedman test was used to determine the impact and priority of dimensions of the independent variable of empowerment, and the dimensions of knowledge, skill, communication, physical abilities, motivation, and mental power, respectively had the most impact on the dependent variable, the organizational citizen of Tabriz Oil Company employees.Finally, according to the findings of the research, suggestions have been made to empower human resources to improve citizenship behavior by employees.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.511
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9920.990

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 head0.174
Teacher spread0.163 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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