Building smart brands through online and artificial intelligence tools: A quantitative analysis about the best hospitals in Spain

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Título: Building smart brands through online and artificial intelligence tools: A quantitative analysis about the best hospitals in Spain
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: Hospitals | Corporate communication | Brand | Reputation | Artificial intelligence
Fecha de publicación: 18-ene-2024
Editor: Bastas Publication DOO
Cita bibliográfica: Online Journal of Communication and Media Technologies. 2024, 14(1): e202407. https://doi.org/10.30935/ojcmt/14132
Resumen: Building a reputed brand constitutes a priority for hospitals interested in establishing positive relationships with their stakeholders. However, hospitals face different challenges: limited budgets, strict legal frameworks, etc. To overcome these challenges, many hospitals resort to online and artificial intelligence tools. This paper analyzes how hospitals manage both tools to improve their relationships with stakeholders and reinforce their brand reputation. To do that, we conducted a literature review about smart branding in hospitals, and then we defined 34 quantitative indicators to evaluate how the 100 best hospitals in Spain managed their websites, online newsrooms, about us sections and artificial intelligence departments for branding purposes. Our results proved that most hospitals focused their smart branding initiatives on patients (4.98 criteria out of 11) and not on media companies (3.14/11) or public authorities (3.14/6). We concluded that hospitals should implement integrated communication strategies, use artificial intelligence to brand their employees, and establish more professional practices in their communication departments.
URI: http://hdl.handle.net/10045/139918
ISSN: 1986-3497
DOI: 10.30935/ojcmt/14132
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2024 by authors; licensee OJCMT by Bastas, CY. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.30935/ojcmt/14132
Aparece en las colecciones:INV - COSOCO - Artículos de Revistas

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