Workplace Mistreatment: A Review and Agenda for Research
Notice bibliographique
Résumé
Abstract Workplace mistreatment researchers study negative interpersonal behaviors under a plethora of different labels, including incivility, bullying, harassment, aggression, and violence. While negative interpersonal behaviors differ in their intensity, intent, and frequency, a common denominator of these behaviors is their adverse impact on employees and organizations. Research has identified the nomological network of workplace mistreatment, which illustrates individual and contextual factors associated with mistreatment behaviors. Authors have also highlighted outcomes of mistreatment, showing that mistreatment results in reduced psychological and physical health, worsened job attitudes, and diminished performance for both targets and bystanders. Further, enacted mistreatment is not without consequences for the perpetrators, and these consequences can be both negative and positive. While workplace mistreatment research has been steadily growing, many questions remain unanswered. There are unexplored topics, approaches, and methodologies. First, there is a need to understand the uniqueness and similarities of different mistreatment constructs to provide a more comprehensive approach for studying workplace mistreatment and highlight alternative ways of measuring mistreatment constructs. Novel methodological approaches, such as HotMap and artificial intelligence, could shed light on the dynamics between targets and perpetrators of mistreatment, allowing researchers to capture the dynamic nature of mistreatment behaviors. Second, the interactions among societal, cultural, and interpersonal factors are likely to shape enacted mistreatment. For instance, social networks within organizations and the interrelations between employees are likely to influence not only the individual who becomes targeted, but also the way in which bystanders are to take action against such mistreatment. Third, while the role of bystanders in the dynamics of workplace mistreatment is undoubtedly important, there is a need to critically investigate the role bystanders may play in curtailing or encouraging mistreatment. More specifically, bystander interventions can take both constructive and destructive forms. Finally, targets’ responses to experienced mistreatment are likely to be relevant to the understanding of the dyadic nature of workplace mistreatment, such that an aggressive target response is likely to cause a mistreatment spiraling. However, it remains unclear what type of target response, if any, would be beneficial in helping de-escalate destructive behavior from the perpetrator. Thus, more research is needed to help address the important question of the best ways to deal with experienced mistreatment.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».