Purpose in practice: Mission implementation and employees’ psychosocial outcomes across organizational contexts
Fecha de publicación
2025-10-01ISBN
978-3-031-97608-7
Resumen
Amid shifting organizational landscapes, mission has gained prominence as a strategic mechanism for promoting alignment and shared purpose. Yet, declaration of mission alone rarely leads to meaningful impact unless it is understood, internalized, and enacted in employees’ daily work. This paper examines how effective mission implementation, defined as the consistency between mission content, practice, and motivation, relates to employee outcomes, including organizational commitment, prosocial behavior, and meaningful work. Study 1 draws on data from employees in organizations participating in the Driving Purpose and Mission Collaborative (DPMC), which actively engage in purpose-driven management practices. Study 2 includes employees from a broader range of organizations without formalized mission structures. Structural equation modeling was used in both studies. In Study 1, effective mission implementation directly predicted prosocial behavior and indirectly predicted meaningful work, mediated by organizational trust. In Study 2, mission implementation influenced outcomes only indirectly, with trust playing a central mediating role. These findings underscore the significance of mission implementation as a dynamic, context-sensitive process and demonstrate how alignment, trust, and prosocial motivation shape employees’ experience of purpose at work.
Tipo de documento
Capítulo o parte de libro
Versión del documento
Versión publicada
Lengua
Inglés
Materias (CDU)
65 - Gestión y organización. Administración y dirección de empresas. Publicidad. Relaciones públicas. Medios de comunicación de masas
Palabras clave
Páginas
Desconocido
Publicado por
Springer
Citación recomendada
Skhirtladze, E.; Selvam, R.; Rey, C. [et. al]. Purpose in practice: Mission implementation and employees’ psychosocial outcomes across organizational contexts. En: Integrating big data and IoT for enhanced decision-making systems in business. Studies in Big Data, Springer Cham, 2026, 177, pp. 299–308. Disponible en: <https://link.springer.com/chapter/10.1007/978-3-031-97609-4_25>. Fecha de acceso: 27 Mar 2026. ISBN: 978-3-031-97608-7. DOI: 10.1007/978-3-031-97609-4_25
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Derechos
© 2026 The Author(s), under exclusive license to Springer Nature Switzerland AG

