Organisational citizenship behaviours and work motivation of employees in for-profit, public and nonprofit organisations
Notice bibliographique
Résumé
Purpose:The purpose of the article is to determine the correlation that exists between OCB and work motivation among employees in for-profit, public, and nonprofit organisations.Design/methodology/approach: The cross-sectoral study was conducted in 2022.The sample consisted of employees representing three types of organisations: for-profit, public and nonprofit, one hundred from each type of entity mentioned.The opinions of the respondents were collected using a Google form and by means of a printed version of the survey questionnaire.In the research there were used the 12-item OCB scale developed by Spector.Employee motivation was examined using the WEIMS-PL scale, which is a translated equivalent of the Canadian Work Extrinsic and Intrinsic Motivation Scale (WEIMS).Findings: The correlations between the OCB-P subscale (towards people in the organisation) and the WEIMS-PL subscales were mostly positive but only negligible.Stronger correlations were observed between the WEIMS-PL and OCB-O (towards the organisation) subscales, particularly in the for-profit and nonprofit entities.In most cases they were positive and moderate in strength.A strong correlation was found between intrinsic motivation and OCB-O in NPOs and a slightly weaker one in for-profits.In public organisations this correlation was negligible.The correlations between OCB-O and 3 of the 4 subtypes of extrinsic motivation were also stronger in NPOs and for-profits than in public organisations: introjected regulation, identified regulation and integrated regulation. Research limitations/implications:The study was only quantitative and not qualitative, relying solely on respondents' statements.The sample was purposively selected, which means that the results cannot be generalised, and the study only involved Polish organisations, which means that it was embedded in a specific cultural context that should be taken into account when formulating conclusions.In addition, the research was not longitudinal but crosssectional.The results might be different in a longitudinal study.The data were lagged, which does not allow for strong causal inferences.Moreover, the use of questionnaire-based research may have triggered a common method bias.Originality/value: The contribution of this study is that the OCB-WM correlation analysis was carried out in for-profit, public and nonprofit organisations, which has not been done before.
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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 | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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) | 0,000 | 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 ».