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

Christian Di Prima (Department of Management, Università degli Studi di Torino, Turin, Italy) (Faculty of Social Sciences, Solvay Business School, Vrije Universiteit Brussel, Brussels, Belgium)
Anna Kotaskova (Faculty of Economics and Entrepreneurship, Pan-European University, Prague, Czech Republic) (European Centre for Business Research, Pan-European University, Prague, Czech Republic)
Hélène Yildiz (Marketing, Business School Management, IUT Henri Poincaré-Longwy, Université de Lorraine, Nancy-Metz, France)
Alberto Ferraris (Department of Management, Università degli Studi di Torino, Turin, Italy) (Graduate School of Economics and Management, Ural'skii federal'nyi universitet imeni pervogo Prezidenta Rossii B N El'tsina, Ekaterinburg, Russian Federation)

Management Decision

ISSN: 0025-1747

Article publication date: 12 December 2023

Issue publication date: 5 July 2024

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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 lasts on organizational retention.

Design/methodology/approach

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.

Findings

The findings confirmed the positive effect of SSOP on employees’ motivation and engagement, and of these last on employees’ retention. Furthermore, they confirmed that the usage of HR analytics positively moderates the relationship between SSOP and employees’ motivation and engagement.

Originality/value

This study contributes to both sustainable operations management and HR management literature streams. First, it adopts a multidisciplinary perspective which also considers evidence from HR management literature, allowing the authors 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 that are not directly controlled by the HR department.

Keywords

Acknowledgements

The authors would like to acknowledge that part of this work has been supported by the Italian Minister of University and Research (MUR) through the project “GRIS - Growing Resilient Italian SMEs” (No. 2022X9YPZJ) within the PRIN 2022 program.

Citation

Di Prima, C., Kotaskova, A., Yildiz, H. and Ferraris, A. (2024), "How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness", Management Decision, Vol. 62 No. 7, pp. 2064-2084. https://doi.org/10.1108/MD-06-2023-0973

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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