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How to survive to social crises? An HR analytics data-driven approach to improve social sustainable operations' effectiveness

Articolo
Data di Pubblicazione:
2023
Abstract:
Despite the growing interest regarding companies’ sustainability, its social dimension has mostly been neglected by academics and practitioners. Consequently, this study aims to address this issue by investigating if the adoption of human resource (HR) analytics can positively influence the impact of social sustainable operations practices (SSOP) on employees’ motivation and engagement, and the effect of these last on organizational retention. Data were collected through online questionnaires addressed to 281 HR managers of heterogeneous companies from Europe and analyzed through a structural equation modeling (SEM) technique. The findings confirmed the positive effect of SSOP on employee motivation and engagement, and of these last on employee retention. Furthermore, they confirmed that the usage of HR analytics positively moderates the relationship between SSOP and employee motivation and engagement. This study contributes to both sustainable operations management and HR management literature streams. First, it adopts a multidisciplinary perspective which considers also evidence from HR management literature, allowing us to concentrate on the social dimension of sustainability. Second, it provided further insight regarding the adoption of a data-driven approach in relation to social sustainable operations management. Finally, it contributes to HR analytics related literature by demonstrating its impact also on organizational aspects not directly controlled by the HR department.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
social sustainable operations management; HR analytics; employee motivation; employee engagement; employee retention; data-driven approach
Elenco autori:
Di Prima, Christian; Kotaskova, Anna; Yildiz, Helene; Ferraris, Alberto
Autori di Ateneo:
DI PRIMA CHRISTIAN
FERRARIS Alberto
Link alla scheda completa:
https://iris.unito.it/handle/2318/1944714
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1944714/1217346/AAM%20Iris.pdf
Pubblicato in:
MANAGEMENT DECISION
Journal
  • Dati Generali
  • Aree Di Ricerca

Dati Generali

URL

https://www.emerald.com/insight/content/doi/10.1108/MD-06-2023-0973/full/html

Aree Di Ricerca

Settori (10)


SH1_11 - Human resource management; operations management, marketing - (2022)

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Economia dell'innovazione e industriale

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Finanza Aziendale

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Mercati Finanziari e Capitale Bancario

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Pianificazione strategica e gestione dei rischi, comunicazione finanziaria, modelli di business e organizzativi

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Digitalizzazione della Società e della Pubblica Amministrazione

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Educazione digitale e intelligenza artificiale

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Industria X.0

SOCIETA', POLITICA, DIRITTO e RELAZIONI INTERNAZIONALI - Diritto delle Nuove Tecnologie

SOCIETA', POLITICA, DIRITTO e RELAZIONI INTERNAZIONALI - Innovazione, tecnologie e territorio
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