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

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/151605
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Title: Segmenting Hotel Guests' Behavior: Insights for Developing Effective Water Conservation Programs
Authors: Sancho-Esper, Franco | Sellers Rubio, Ricardo | Casado-Díaz, Ana B. | Campayo Sánchez, Fernando | Rodríguez-Sánchez, Carla | Sánchez, Carolina
Research Group/s: Marketing
Center, Department or Service: Universidad de Alicante. Departamento de Marketing
Keywords: Consumer identities | Effort | Habits | Pleasure | Segmentation | Water conservation behavior
Issue Date: 28-Jan-2025
Publisher: John Wiley & Sons
Citation: Business Strategy and the Environment. 2025, 34(3): 3544-3560. https://doi.org/10.1002/bse.4160
Abstract: 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.
Sponsor: 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
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2025 ERP Environment and John Wiley & Sons Ltd.
Peer Review: si
Publisher version: https://doi.org/10.1002/bse.4160
Appears in Collections:INV - MKT - Artículos de Revistas

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