IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04753292.html
   My bibliography  Save this paper

How Can Technological Resources Improve the Quality of Healthcare Service? The Enabling Role of Big Data Analytics Capabilities

Author

Listed:
  • Luigi Jesus Basile

    (Polytechnic University of Bari / Politecnico di Bari)

  • Nunzia Carbonara

    (Polytechnic University of Bari / Politecnico di Bari)

  • Umberto Panniello

    (Polytechnic University of Bari / Politecnico di Bari)

  • Roberta Pellegrino

    (Polytechnic University of Bari / Politecnico di Bari)

Abstract

The increasing adoption of digital technologies is revolutionizing healthcare professionals' activities. These technologies generate large amounts of data that can be used by big data analytics (BDA) to extract knowledge that, if properly utilized, may support the decision-making process and ultimately improve the quality of healthcare services. Although hospitals have been investing in BDA technological resources, it seems that the quality of service has not always been improved. In recent years the academic literature highlighted the relevance of BDA capabilities in improving organizations' performance, but their role in healthcare organizations seems overlooked. The purpose of this study is to empirically investigate the relationship between BDA technological resources and capabilities and the quality of healthcare services. It also aims to determine whether the presence of BDA capabilities in healthcare organizations can be the underlying mechanism that explains the effect of BDA technological resources on the quality of healthcare services. In total, 173 responses from Italian healthcare professionals were collected and investigated via the lens of resource-based view theory using the partial least square structural equation modeling methodology. The results show the pivotal role of BDA capabilities in deploying BDA technological resources to improve the quality of healthcare services and thus the need for further investment in BDA capabilities.

Suggested Citation

  • Luigi Jesus Basile & Nunzia Carbonara & Umberto Panniello & Roberta Pellegrino, 2024. "How Can Technological Resources Improve the Quality of Healthcare Service? The Enabling Role of Big Data Analytics Capabilities," Post-Print hal-04753292, HAL.
  • Handle: RePEc:hal:journl:hal-04753292
    DOI: 10.1109/TEM.2024.3366313
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:hal:journl:hal-04753292. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.