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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