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Record W2768139014 · doi:10.5539/mas.v11n12p48

Determinants of Organisational Commitment Among Generation -Y in the Malaysian SMEs

2017· article· en· W2768139014 on OpenAlexvenueno aff
Jaya Ganesan, Lee Kar Mun, Kavitha Raman

Bibliographic record

VenueModern Applied Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeBusinessJob satisfactionGeneration yMarketingOrganizational cultureWork (physics)Organizational commitmentBusiness administrationRegression analysisSmall and medium-sized enterprisesKnowledge managementPublic relationsPsychologyManagementPolitical scienceEconomics

Abstract

fetched live from OpenAlex

It is evident from research that Generation-Y constitutes a large proportion in the work force across the globe and hence it is a great challenge to organisations to attract and retain their Gen-Y employees. Various studies have highlighted that the knowledge of organisational commitment is crucial to organisations in developing their long-term performance and growth. This study aims to explore the determinants of organisational commitment among the Generation-Y who are employed in Malaysian SMEs (Johor Baharu, Selangor and KualaLumpur). The data was collected from 200 Gen-Y employees. Variables such as pay and benefits, training, leadership style, organisational culture and job satisfaction using multiple regression revealed that all variables had significant relationship with organisational commitment. Theoretical and practical implications are discussed based on the findings. The study also highlighted recommendations for future research.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.326
Teacher spread0.277 · 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 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

Citations3
Published2017
Admission routes1
Has abstractyes

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