Striving for a Violence “Free” and Healthy Workplace: Insights from Forestry Workers' Perspectives
Notice bibliographique
Résumé
Abstract This chapter critically examines the dynamics that exists between workplace violence, employee well-being, and governance as experienced and perceived by employees in the Forestry context. The purpose of this research is to explore what signals the prevalence of workplace violence in the Forestry sector; to understand the consequences of workplace violence; to explore the degree to which workplace violence can be stopped; and how can employers strive for a violence “free” and healthy workplace. This chapter focuses on research into workplace violence in the Forestry sector in British Columbia, Canada. A questionnaire survey, telephone interviews, and focus groups were used to focus on managers, union, and employees' verbal accounts of their own experiences and perceptions of workplace violence. Managers completed 367 questionnaire surveys. The union and employees from across five different organizations also completed the survey that was analyzed. Twenty semi-structured telephone interviews were conducted with each interview lasting 60–75 minutes, tape-recorded, and transcribed verbatim. Two focus groups were the one with 15 managers only and the other with 10 union representatives. Each focus group lasted 45–60 minutes, tape-recorded, and transcribed verbatim. This research adopted an interpretivist approach, which allows a positivist and an interpretivist viewpoint that examines situations to establish the norm by using questionnaires, interviews, and focus groups. The mixed methodology is appropriate for addressing the research aims and provided insight into the lifeworld of participants, providing the opportunity for managers, union, and employees to share their personal experience of workplace violence. Using Interpretative Phenomenological Analysis (IPA) provided insight into the lifeworld of participants, providing the opportunity for employees, managers, and union representative to share their personal experience of workplace violence and its implications for governance, violence prevention, and employee well-being at work. The data revealed that 13 key themes emerged as salient to forestry workers' perspective of workplace violence, the prevalence of violence, consequences of violence, prevention of violence, and how employers can strive toward a violent “free” and healthy workplace. These themes include Stress Management, Mental Health, Leadership Development, Trust, Employee Involvement and Engagement, Communication and Collaboration, Education and Training, Employee Violence Assistance Program, Violence Response Protocol, Respectful Workplace Culture, Job Redesign, Fear of Change, and Employee Appreciation. This research has relevance for employee well-being, leadership, governance, corporate social responsibility, and performance for practitioners and academics alike. The findings and insights from this research can be extrapolated to other organizations inBritish Columbia, Canada, and other parts of the world.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,015 | 0,012 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».