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Record W2012271497 · doi:10.5539/ass.v9n7p218

Knowledge Management: A Case Study on Employees Knowledge-Oriented Behaviour in the Electricity Distribution Company

2013· article· en· W2012271497 on OpenAlexvenueno aff
Raja Danial Raja Ismail, Zunaidah Sulong

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsKnowledge managementTransferabilityBusinessDistribution (mathematics)EmbeddednessElectric power distributionUsabilityComputer scienceEngineeringSociologyMathematics

Abstract

fetched live from OpenAlex

The paper investigates the views of Managers and Senior Managers in an electricity distribution company in Malaysia with respect to human elements of Knowledge Management (KM). Based on three Knowledge Management tasks, i.e. Knowledge Application, Knowledge Distribution, and Knowledge Cultivation, the respondents collectively perceive that KM tasks are important to the company. The existing KM tasks are positively correlated with the ease of occurrence of KM activities that support those tasks. The behaviour is positively correlated with the ease of occurrence of KM activity groups of Culture, Embeddedness, Spontaneity, Subjectivity, and Transferability. Knowledge-oriented behaviour is positively correlated with organization performance, and there are positive correlations between KM tasks and knowledge culture.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.033
GPT teacher head0.345
Teacher spread0.312 · 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 designQualitative
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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