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Record W2104982792 · doi:10.5267/j.msl.2013.09.009

A study on relationship between empowering employees and social capital depreciation: A case study of treasury department

2013· article· en· W2104982792 on OpenAlexvenueno aff
Manouchehr Rahmdel, Naser Rahmdel

Bibliographic record

VenueManagement Science Letters · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
FundersU.S. Department of the Treasury
KeywordsDepreciation (economics)TreasuryBusinessCapital (architecture)Social capitalFinanceEconomicsAccountingOperations managementHuman capitalCapital formationFinancial capitalEconomic growthSociologyPolitical science

Abstract

fetched live from OpenAlex

Empowering employee plays essential role in having sustainable social capital. When social capital is depreciated, we may expect some negative consequences on society and working environment. Therefore, we need to investigate different factors influencing depreciation of social capital as well as empowering employees. The proposed model of this paper designs a questionnaire and distributes it among some randomly selected employees who worked for treasury department in Iran. The study uses two regression models, where empowering employees is a function of four independent variables including being effective, having the right to select, competency and being meaningful. The other regression model studies the relationship between depreciation of employee as dependent variable and four independent variables including job involvement, television, living affairs and generation change. The results of both regression analyses indicate that there were some positive and meaningful relationship between empowering employees as well as depreciation of employees as dependent variable and independent variables.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.056
GPT teacher head0.330
Teacher spread0.274 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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