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Enregistrement W4315645152 · doi:10.1108/heswbl-05-2022-0101

Workforce's crisis-induced career shock, career preferences, job insecurity, layoff and perceived employability: examining variations based on gender, education level and ethnic origin

2023· article· en· W4315645152 sur OpenAlex

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Notice bibliographique

RevueHigher Education Skills and Work-based Learning · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiqueEmployment and Welfare Studies
Établissements canadiensUniversité du Québec en Abitibi-TémiscamingueUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésLayoffWorkforceEmployabilityDemographic economicsEthnic groupShock (circulatory)PreferenceJob securityPsychologySocial psychologyLabour economicsWork (physics)Political scienceUnemploymentEconomic growthEconomicsMedicinePedagogy

Résumé

récupéré en direct d'OpenAlex

Purpose The COVID-19 crisis caused a high level of job insecurity, layoff and low employment opportunities. It generated a worldwide shock, which might have a long-lasting effect on individuals' careers. Changes might occur in terms of individuals’ career choices, objectives, perception of career success and preferences in terms of industries and work arrangements. This study aims to examine crisis-induced career shock among the workforce, which might be translated into changes or doubts related to career choices, objectives and perception of career success, and to analyze individuals' preferences in terms of industries and work arrangements. It focuses mainly on investigating variations among the workforce, based on gender, education level and ethnic origin. These variations are also examined regarding job insecurity, layoff and perceived employability. Design/methodology/approach Frequency counts, percentages, mean ranking, independent t -test and analysis of variance (ANOVA) were used for a sample of 317 workers in the United Arab Emirates (UAE). Three research questions were developed and examined, which are: (1) is there a variation in the workforce, based on gender, education level and ethnic origin concerning crisis-induced career shock (specifically changes related to career choices, objectives and career success? (2) Is there a variation among the workforce related to career preference per industry and work arrangement? If yes, is there a difference in the workforce-based gender, education level and ethnic origin? And (3) is there a variation in the workforce, based on gender, education level and ethnic origin concerning job insecurity, layoff and perceived employability? Findings The findings revealed that career shock was significantly higher among pre-university respondents (specifically, doubts about career choices and perceived career success). As for career preferences per industry, e-business, media and marketing had significant values for all respondents, with e-business as the top-rated choice except for Emiratis who rated it as their third choice. Education was the choice of both men and women. The choices related to other industries (e.g. Healthcare, information, communication technology, etc.) and work arrangements (telework) varied significantly based on gender, education and ethnic origin. Men seem to worry more than women about losing their job as well as Emiratis compared to expatriates, and university-level respondents compared to pre-university. Practical implications This study contributes to highlighting variations related to career shock and career preferences per industry among the workforce based on gender, education level and ethnic origin. This can help organizations in these industries to have a portrait of the situation in the employment market to be able to develop relevant interventions. This research provides insights for managers and HRM practitioners. Originality/value This study contributes to expanding research on career and career shocks in a context of a crisis. It responded to authors who called for more research about career shocks, as well as their implication for specific target groups, by examining variations based on gender, education level and ethnic origin.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,205
Tête enseignante GPT0,414
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle