IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i1p458-d716160.html
   My bibliography  Save this article

Organizational and Personal Factors That Boost Innovation: The Case of Nurses during COVID-19 Pandemic Based on Job Demands-Resources Model

Author

Listed:
  • Ariana Moreno Cunha

    (Hepatology Day Care Hospital, Centro Hospitalar Trás-os-Montes e Alto Douro (CHTMAD), 5000-508 Vila Real, Portugal)

  • Carla Susana Marques

    (CETRAD Research Centre, Department of Economics Sociology and Management, University of Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal)

  • Gina Santos

    (CETRAD Research Centre, Lusófona University, 5000-801 Vila Real, Portugal)

Abstract

Since 2019, the world has been experiencing a pandemic period due to the COVID-19 virus, which has brought the need for organizations in general, healthcare organizations and their professionals in particular, to focus on innovation as a way to fight an utterly unknown virus. Thus, this study aims to understand how nurses and their personal factors (stress, anxiety, work engagement, organizational support) impact their innovative behaviour and innovation outputs, contributing to innovation in the current pandemic period through changes in thoughts, values, behaviours and relationships among healthcare professionals and their organizations. For this purpose, the Job Demands-Resources model was used as a reference, and the measurement instrument was applied to 738 nurses working in healthcare units in Portugal. Therefore, it was found that the nurses’ personal factors have a positive effect on the nurses’ innovative behaviour and innovation outputs, with the innovative behaviour having the most significant impact on innovation outputs, which will benefit healthcare organizations and the healthcare provided to patients during the pandemic, through innovative behaviours and products. It is also possible to understand how the available resources and the demands imposed on nurses interfere with their innovative behaviour (Job Demands-Resources model).

Suggested Citation

  • Ariana Moreno Cunha & Carla Susana Marques & Gina Santos, 2022. "Organizational and Personal Factors That Boost Innovation: The Case of Nurses during COVID-19 Pandemic Based on Job Demands-Resources Model," Sustainability, MDPI, vol. 14(1), pages 1-24, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:458-:d:716160
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/1/458/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:458-:d:716160. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.