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

Christian Di Prima, Anna Kotaskova, Hélène Yildiz () and Alberto Ferraris
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Christian Di Prima: UNITO - Università degli studi di Torino = University of Turin, Solvay Business School
Anna Kotaskova: Pan-European University
Hélène Yildiz: CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine
Alberto Ferraris: UNITO - Università degli studi di Torino = University of Turin

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Abstract: Purpose -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. Design/methodology/approach -Data were collected through online questionnaires addressed to 281 HR managers of heterogeneous companies from Europe and analysed through a structural equation modelling (SEM) technique. Findings -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. Originality -This study contributes to both sustainable operations management and HR management literature streams. First, it adopts a multidisciplinary perspective that also considers evidence from HR management literature, allowing us to concentrate on the social dimension of sustainability. Second, it provides further insight regarding the adoption of a data-driven approach in relation to socially sustainable operations management. Finally, it contributes to HR analytics-related literature by also demonstrating its impact on organizational aspects not directly controlled by the HR department.

Keywords: social sustainable operations management HR analytics employee motivation employee engagement employee retention data-driven approach; social sustainable operations management; HR analytics; employee motivation; employee engagement; employee retention; data-driven approach (search for similar items in EconPapers)
Date: 2023-12-12
Note: View the original document on HAL open archive server: https://hal.univ-lorraine.fr/hal-04783998v1
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Published in Management Decision, 2023, 62 (7), pp.2064-2084. ⟨10.1108/MD-06-2023-0973⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04783998

DOI: 10.1108/MD-06-2023-0973

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