Segmenting Hotel Guests' Behavior: Insights for Developing Effective Water Conservation Programs

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Título: Segmenting Hotel Guests' Behavior: Insights for Developing Effective Water Conservation Programs
Autor/es: Sancho-Esper, Franco | Sellers Rubio, Ricardo | Casado-Díaz, Ana B. | Campayo Sánchez, Fernando | Rodríguez-Sánchez, Carla | Sánchez, Carolina
Grupo/s de investigación o GITE: Marketing
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Marketing
Palabras clave: Consumer identities | Effort | Habits | Pleasure | Segmentation | Water conservation behavior
Fecha de publicación: 28-ene-2025
Editor: John Wiley & Sons
Cita bibliográfica: Business Strategy and the Environment. 2025, 34(3): 3544-3560. https://doi.org/10.1002/bse.4160
Resumen: This research underscores the need to modify tourists' behaviors to ensure sustainable water usage in high-demand destinations. In-room water conservation of 681 hotel guests was analyzed based on habit, effort, and enjoyment theory (HEET). The analysis reveals four distinct guest clusters based on a combination of cognitive, affective, automated behavior, and consumer identity variables. Water conservation behaviors and attitudes ranged from those of “Environmentally conscious tourists,” who exhibited strong conservation efforts and low hedonic motivations, to those of “Pleasure-seeking tourists,” who prioritized pleasure over sustainability. The segmentation analysis used the Gaussian finite mixture model for clustering, providing insights into how to tailor social marketing interventions to promote water conservation behavior among guests. This novel segmentation approach fills a gap in the literature by considering non-cognitive and habitual behaviors. It also provides a practical framework for designing more effective environmental strategies in tourism, particularly in water-stressed areas.
Patrocinador/es: This work was partially supported by the Spanish Ministry of Science and Innovation under Grant PID2022-141694NB-I00, funded by the Spanish Research Agency (AEI) under Grant MCIN/AEI/10.13039/501100011033, and by the Valencian Region (GVA) Emerging Project under Grant CIGE/2022/51.
URI: http://hdl.handle.net/10045/151605
ISSN: 0964-4733 (Print) | 1099-0836 (Online)
DOI: 10.1002/bse.4160
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2025 ERP Environment and John Wiley & Sons Ltd.
Revisión científica: si
Versión del editor: https://doi.org/10.1002/bse.4160
Aparece en las colecciones:INV - MKT - Artículos de Revistas

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