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Enregistrement W7066935422

The Interactive Process of Negotiating Workplace Accommodations for Employees with a Mental Health Condition

2019· dissertation· en· W7066935422 sur OpenAlexaffabout

Notice bibliographique

RevueMacSphere (McMaster University) · 2019
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueDisability Education and Employment
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésNegotiationMental healthQualitative researchConstructiveReasonable accommodationProcess (computing)Participant observationAccommodation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Employee mental health claims have become a costly burden for Canadian workplaces, therefore many organizations are seeking to adopt progressive disability management strategies to support employees with mental health conditions who are either returning to work or trying to remain at work. Developing and implementing effective workplace accommodation practices is one such strategy to support employees. Negotiating workplace accommodations has been recommended in the literature to be an interactive process between the employee and workplace stakeholders. However, there is very limited knowledge regarding the ways in which discussing and negotiating accommodations unfolds, or how employees and stakeholders experience the process of negotiating accommodations. This thesis includes the results of a qualitative study exploring how negotiating accommodations unfolds between employees with mental health conditions and workplace stakeholders, and a sub-analysis of the larger study data exploring how social capital can impact the negotiation process. In order to capture varied perspectives, in depth interviews were conducted with employees in diverse roles who self-identified as having a mental health condition that required accommodation, and stakeholders who were experienced in negotiating accommodations. A qualitative descriptive design was used to iteratively collect and analyze data. Constructive and interpretive strategies including initial and focused coding, memo writing and clustering were used to identify themes about negotiating accommodations. The negotiation process, as reported by participants in this study, was found to be a non-linear, social and political process that unfolded as a combination of micro formal and informal sub-processes, in contrast to the concrete, formal accommodation process mandated by some organizational policies. In addition, there were a number of factors that were experienced as either helpful or challenging in the process of negotiating accommodations. Social capital arose as an important element influencing how employees with mental health conditions accessed accommodations. The findings of a qualitative sub-analysis of the original data set focused on the ways in which workplace social capital impacted the experience of requesting and negotiating accommodations. Some elements of social capital were found to be dynamic, with workers able to accumulate, rebuild and spend social capital in the course of their employment. Employee reputation, employee self-confidence and likeability with coworkers and managerial staff arose as key elements of social capital. Other elements of social capital were external perceptions constructed by coworkers and workplace stakeholders, such as return-on-investment of accommodating and judgements of value to the organization. Overall, workplace social capital appeared to impact how employees experienced the process of requesting and negotiating accommodations, but it was not the determining factor of whether accommodation requests were granted.

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.

Comment cette classification a été obtenuedéplier

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,336
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,019
Tête enseignante GPT0,320
Écart entre enseignants0,301 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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