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Record W3024890030 · doi:10.5539/mas.v14n6p21

The Impact of Knowledge Management on the Marketing Performance of Small and Medium Enterprises in the State of Kuwait

2020· article· en· W3024890030 on OpenAlexvenueno aff
Abdulmohsen S. Z. Al-Ajami, Marzouq Ayed Al-Qa’eed

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSmall and medium-sized enterprisesSample (material)MarketingOrder (exchange)PopulationKnowledge managementComputer science

Abstract

fetched live from OpenAlex

The study aimed to measure the Impact of Knowledge Management on the Marketing Performance of Small and Medium Enterprises in the State of Kuwait. The population of the study comprised of the owners of small and medium enterprises in the State of Kuwait. An appropriate sample of 150 respondents was used and 124 valid questionnaires were retrieved for analysis. The study reached an effect of knowledge management has been found on the marketing performance in small and medium projects in the State of Kuwait. This reflects the importance of attention to diversifying the sources of obtaining knowledge from the environment surrounding the project in a manner that can be used to its advantage in order to improve the level of its marketing performance. The study also highlighted that the opinions of the study sample on the impact of knowledge management on the marketing performance in small and medium enterprises in the State of Kuwait do not differ according to their practical experiences and scientific qualifications.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.018
GPT teacher head0.228
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2020
Admission routes1
Has abstractyes

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