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Record W2791916758 · doi:10.1002/kpm.1562

Impact of knowledge management processes on business performance: Evidence from Kuwait

2018· article· en· W2791916758 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKnowledge and Process Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Capital and Performance Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBusinessScope (computer science)OriginalityKnowledge managementEmpirical researchGovernment (linguistics)Reliability (semiconductor)Knowledge transferSurvey instrumentSurvey researchKnowledge sharingMarketingBusiness administrationPsychologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this research study is to investigate the relationship between knowledge management (KM) processes and the level of business performance of organizations in Kuwait. The research utilized a survey that was administered to 500 employees of 139 private and government companies in Kuwait. Tests of validity and reliability confirmed the use of the survey instrument whereas factor analysis revealed 4 main factors whose impact on performance was assessed. The research results revealed that all 4 KM processes examined (i.e., knowledge generation and development, codification and storage, transfer and sharing, and use and evaluation) have a positive and significant impact on perceived business performance. Additionally, the research revealed that KM processes have the highest impact on innovation performance. The limitation of this study is mainly related to the limited geographical scope of the research, because the survey covered only companies from Kuwait. The originality of the research comes from geographical area covered. Virtually, no empirical research has been undertaken in area of knowledge management in Kuwait, as an oil‐dependent country.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.026
GPT teacher head0.285
Teacher spread0.258 · 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