IDEAS home Printed from https://ideas.repec.org/a/epw/media0/v2y2023i5id526.html

Building Reputed Brands through Smart Technologies: A Quantitative Analysis of the Best Hospitals in the United Kingdom

Author

Listed:
  • Pablo Medina Aguerrebere

    (Canadian University Dubai, United Arab Emirates)

  • Eva Medina

    (University of Alicante, Spain)

  • Toni Gonzalez Pacanowski

    (University of Alicante, Spain)

Abstract

Smart technologies such as artificial intelligence and big data have transformed hospitals from a medical, management and communication perspective. This paper aims to analyze how the best hospitals in the United Kingdom manage these technologies to build a reputed brand. To do that, we conducted a literature review about smart technologies and online branding processes in hospitals. Then, we defined 34 indicators to evaluate how the 140 best hospitals in the United Kingdom managed smart technologies for branding purposes. Our results proved that most of them focused their branding efforts on patients (4.98 criteria out of 11 applicable), rather than journalists (3.01/11) or public authorities (2.16/6). We concluded that hospitals should implement an integrated marketing communication approach, use smart technologies to establish new organizational processes with stakeholders, and develop digital transformation plans to efficiently manage this process.

Suggested Citation

Handle: RePEc:epw:media0:v:2:y:2023:i:5:id:526
DOI: 10.24018/ejmedia.2023.2.5.26
as

Download full text from publisher

File URL: https://eu-opensci.org/index.php/media/article/view/526
File Function: Abstract page
Download Restriction: no

File URL: https://eu-opensci.org/index.php/media/article/download/526/170
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.24018/ejmedia.2023.2.5.26?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

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:epw:media0:v:2:y:2023:i:5:id:526. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/media .

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.