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Record W2981486771 · doi:10.5267/j.msl.2019.10.018

The mediation effect of TQM practices on the relationship between entrepreneurial leadership and organizational performance of SMEs in Kuwait

2019· article· en· W2981486771 on OpenAlexvenueno aff
Fahad Awad Aber Sawaean, Khairul Anuar Mohd Ali

Bibliographic record

VenueManagement Science Letters · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsTotal quality managementBusinessMediationOrganizational performanceEntrepreneurial leadershipSmall and medium-sized enterprisesQuality (philosophy)Competitive advantageDeveloping countryOrganizational commitmentMarketingKnowledge managementPublic relationsEntrepreneurshipComputer scienceService (business)EconomicsPolitical scienceEconomic growth

Abstract

fetched live from OpenAlex

Small and medium enterprises (SMEs) play a vital role for the economic development of most countries, particularly in developing economies such as Kuwait.There are, however, challenges and problems that have to be addressed in an effort to achieve a better performance and ensure longer-term success.In the pursuit of entrepreneurial leadership (EL), SMEs frequently adopt total quality management (TQM) practices as their key strategies to enhance their competitive advantage.However, there is a dearth of studies that investigate the relationship of these concepts with the performance SMEs in developing countries.This paper seeks to examine the association between determinants of organizational performance, such as entrepreneurial leadership (EL) and TQM practices, of Kuwait's SMEs.This study uses a quantitative method.A survey questionnaire is administered to collect data from 500 SME owners and CEOs in Kuwait, and 384 are found to be usable.The outcomes of this study show beneficial and considerable influence of entrepreneurial leadership and TQM practices on organizational performance.The association of entrepreneurial leadership with organizational performance of SMEs is fundamentally mediated by TQM practices.

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 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)0.002
metaresearch head score (Gemma)0.007
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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.287
Teacher spread0.251 · 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".

Quick stats

Citations41
Published2019
Admission routes1
Has abstractyes

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