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Record W226288266

A Test on the Systematic Fuzzy Measurement of the Key Degree for the Core Employees' Performance Traits/TEST DE LA MESURE SYSTEMATIQUE ET FLOUE DU DEGRE CLE POUR LES TRAITS DE LA PERFORMANCE DES EMPLOYES IMPORTANTS

2006· article· fr· W226288266 on OpenAlexvenueno aff
Xiao-wei Liang

Bibliographic record

VenueCanadian social science · 2006
Typearticle
Languagefr
FieldEngineering
TopicEvaluation and Optimization Models
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHumanitiesDegree (music)Test (biology)Social psychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Abstract: According to the employees' embedded performance view of organizational social capital and its theoretic analytic dimensions, the core knowledge employees' key performance traits are operationally defined as key degree with seven measuring dimensions. A scale for measuring the key degree is developed and empirically analyzed by means of questionnaire with Cronbach's a >0.7 and significant three-factor-structure validity. And then systematic fuzzy decision theory is introduced to comprehensively measure the key degree indicator (KDI) of the core employees' performance traits with the third party test, and the results initially show satisfied discriminating rate of the core employees (94%) from the sample and significant correlation between KDI and the organizational innovation performance (R=0.82, P Key words: Core employee, Performance trait, Systematic fuzzy measurement Resume: Selon le point de vue des employees sur la performance du capital social organizationnel et ses dimensions de l'analyse theorique, les traits de la performance cle des employees importants sont pratiquement definis comme le degre cle avec sept dimension de mesure. Une echelle pour mesurer le degre cle est developpee et empiriquement analysee au moyen du questionnaire avec a >0.7 de Cronbach et la validite de la structure de trois facteurs signifiante . Puis la theorie de decison systematique et floue est introduite afin de mesurer le degre cle indicateur (key degree indicator/KDI) des traits de la performance des employes importants avec la troisieme partie de test, et les resultats montrent au debut un taux de distinction satisfaiseant des employes (94%) dans un echantillon et une correlation signifiante entre KDI et la performance d'innovation organizationnelle(R=0.82, P Mots-Cles: employes importants, trait de performance, mesure systematique et floue (ProQuest: ... denotes formulae omitted.) 1. INTRODUCTION According to the organizational social capital ebeddedness-based perspective of the performance2, a core employee can be recognized as the undertaker and transmitter of high organizational performance, and as the key group in the organizational value creation. But in most literature the core employees' performance traits are taken in the atomistic way with less focus on their social associability that makes organizational intellectual capital in creating the values, lack of the operational definition and measurement of the core employees, and lack of sophisticated understanding of the retention motivation on the core employees. The creation of the organizational value depends on the edge of the organizational social capital from its stakeholders [1], and so the core employees can be defined as the ones who can make doubles of times of the related performance with his influence on the node (other people) in the organizational social networks, and they are usually the knowledge workers with higher human capital and mainly seven key measurable dimensions of their high performance traits 3, 4(see table 1). If the core employees' traits can be operationally defined as the key degree of their key performance edge [1], the comprehensive measurement of the core employees' seven performance traits can hold the decision characteristics of fuzzy system with multipurpose: (1) the boundary between the core and the un-core employees is fuzzy for the key degree's continuum nature; (2) the seven dimensions of the key degree for assessing the core employees are cross linked, requiring comprehensive measurement; and (3) the weights for the seven dimensions of the key degree can be dynamic in different organizational terms, requiring reflecting the structure of the performance traits in order to get fitter motivation for the high performance employees. …

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.271
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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".

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Citations3
Published2006
Admission routes1
Has abstractyes

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