How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations’ effectiveness
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Management Decision
ISSN
0025-1747
e-ISSN
—
Svazek periodika
in-print
Číslo periodika v rámci svazku
in-print
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
21
Strana od-do
ahead-of-print
Kód UT WoS článku
001117140000001
EID výsledku v databázi Scopus
2-s2.0-85178917296