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Record W4414020912 · doi:10.1108/msar-10-2024-0179

Perceived barriers to work in the private sector in the United Arab Emirates: empirical evidence and policy implications

2025· article· en· W4414020912 on OpenAlexaff
Mohammed A. Al‐Waqfi, Khaldoun I. Ababneh

Bibliographic record

VenueManagement & Sustainability An Arab Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsHealth Canada
Fundersnot available
KeywordsWork (physics)Private sectorEmpirical evidencePolitical scienceDemographic economicsPsychologyEconomic growthEconomicsEngineering

Abstract

fetched live from OpenAlex

Purpose The preference for public sector employment among job seekers has been a persistent phenomenon in the Gulf Cooperation Council (GCC) region over the past few decades. This paper assesses Emirati senior undergraduate students’ perceptions and willingness to work in the private sector, identifies the factors that shape their work sector perceptions and preferences and examines differences in perceptions and preferences based on demographic characteristics of respondents. Design/methodology/approach Data from 399 students at a public university in the United Arab Emirates (UAE) were collected using a paper questionnaire. Both descriptive and inferential statistical methods were applied in the data analysis. Findings Our findings show that low pay and benefits, long working hours, short vacation and more challenging jobs are the key barriers that make the private sector less attractive to young Emiratis. Unexpectedly, our findings indicated that young adults in the UAE did not view job security as a significant factor in choosing the public sector over the private sector. Originality/value This study addresses a gap in the literature by examining the job choice intentions of young citizens in the GCC context, with particular attention to the cognitive and affective factors shaping their strong preference for public sector employment. By uncovering the underlying perceptions and beliefs that shape sector preferences, the study offers valuable theoretical insights and practical implications for workforce planning and policy development in the UAE and the broader GCC region.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.296
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
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 head0.067
GPT teacher head0.405
Teacher spread0.338 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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