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Record W2041479363 · doi:10.1108/17537981111111265

Career success of Arab women managers: an empirical study in Lebanon

2011· article· en· W2041479363 on OpenAlexaff
Hayfaa A. Tlaiss, Saleema Kauser

Bibliographic record

VenueEducation Business and Society Contemporary Middle Eastern Issues · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGlass ceilingSalience (neuroscience)OriginalityPsychologyMiddle EastPerceptionEmpirical researchValue (mathematics)Career developmentSocial psychologyApplied psychologyPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to explore how women managers in Lebanon account for their career satisfaction and construct their career success. Design/methodology/approach A review of literature along with a survey-based quantitative approach is adopted for understanding the perception of the Lebanese Arab women to their career success. The questionnaire was administered to women participants in managerial and executive roles in different occupational sectors. Findings The findings suggest that despite the glass ceiling that the Lebanese women managers face, they perceived themselves as successful. However, their success was mainly attributed to their satisfaction with the subjective rather than the objective aspects of their careers. Originality/value The value of this paper is three-fold. First, and in view of the Western focus of similar research, this study contributes to the understudied area of research of women managers and their careers in the Arab Middle East. Second, through empirical research stemming from Lebanon, this paper confirms the salience of the glass ceiling in the non-traditional Middle Eastern research locale. Third, it challenges the widespread notion that the subjective and the objective dimensions of career success are correlated. Although the findings cannot be generalized to the entire Middle-Eastern Arab region, they demonstrate important differences in the concept of self-perceived subjective and objective career success.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.252
GPT teacher head0.348
Teacher spread0.096 · 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

Citations20
Published2011
Admission routes1
Has abstractyes

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