How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F23%3AN0000009" target="_blank" >RIV/04130081:_____/23:N0000009 - isvavai.cz</a>
Result on the web
<a href="https://www.emerald.com/insight/content/doi/10.1108/MD-06-2023-0973/full/html" target="_blank" >https://www.emerald.com/insight/content/doi/10.1108/MD-06-2023-0973/full/html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1108/MD-06-2023-0973" target="_blank" >10.1108/MD-06-2023-0973</a>
Alternative languages
Result language
angličtina
Original language name
How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50204 - Business and management
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Management Decision
ISSN
0025-1747
e-ISSN
—
Volume of the periodical
in-print
Issue of the periodical within the volume
in-print
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
ahead-of-print
UT code for WoS article
001117140000001
EID of the result in the Scopus database
2-s2.0-85178917296