Dis-identification in Organizations and Its Role in the Workplace
Notice bibliographique
Résumé
Considerable theory and research has revealed that organizational identification (OID) benefits individuals and groups and that OID facilitates the development of long-term commitment and support towards an organization. Prior studies have highlighted the importance of an identification mechanism in the workplace, i.e., how employees define their self-concepts vis-à-vis their connections with their organizations. In contrast to previous research, we explore the process by which employees divorce their identity from that of their organization, i.e., defining who they are by what they are not. Interestingly, how individuals dis-identify themselves from the organization still remains unclear, and the concept of dis-identification in organization (DiO) has not drawn much academic attention. The paucity of research in this area leaves theories under-developed; thus, our research seeks to shed new light on the concept of DiO and understand its importance at work. An anonymous questionnaire survey was conducted, recruiting 304 employees across eight organizations in Taiwan. Different from prior studies, this research stated that OID and DiO were neither heterogeneous nor independent constructs. Statistical evidence affirmed this statement further and explained that OID and DiO were inter-related constructs. Moreover, two DiO antecedents were discovered, including: person-organization fit and abusive supervision. Unlike in previous studies, DiO was not correlated with poor employee performance; rather, it was correlated with workplace deviance, an intention of quitting the job, and voice-extra-role-behaviour. Organizations are complex entities by their very nature. Whether an organization can continue, function and succeed may depend upon a series of organizational characteristics. An organization is like a social arrangement that pursues collective goals, controls its own performance, and has a boundary separating it from its environment. One such organizational characteristic is identification. With a better understanding of OID/DiO, managers and HR practitioners can better observe the influence of OID/DiO and develop policies to increase employees’ identification and decrease dis-identification. Ultimately, employers, employees and society will enjoy the benefits of better organizations, e.g., higher working morale, more performance output, stronger membership/cohesion, and lower turnover.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».