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

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Título: Building Reputed Brands through Smart Technologies: A Quantitative Analysis of the Best Hospitals in the United Kingdom
Autor/es: Medina Aguerrebere, Pablo | Medina, Eva | González-Pacanowski, Antonio
Grupo/s de investigación o GITE: COSOCO (Comunicación y Sociedad del Conocimiento)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Comunicación y Psicología Social
Palabras clave: Artificial intelligence | Branding | Corporate communication | Hospitals
Fecha de publicación: 8-nov-2023
Editor: European Open Science
Cita bibliográfica: European Journal of Communication and Media Studies. 2023, 2(5): 1-12. https://doi.org/10.24018/ejmedia.2023.2.5.26
Resumen: 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.
URI: http://hdl.handle.net/10045/138429
ISSN: 2976-7431
DOI: 10.24018/ejmedia.2023.2.5.26
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2023 Aguerrebere et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original source is cited.
Revisión científica: si
Versión del editor: https://doi.org/10.24018/ejmedia.2023.2.5.26
Aparece en las colecciones:INV - COSOCO - Artículos de Revistas

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