Predicting sustainable tourism: examining customers' intention to visit green hotels using an extended norm activation model

• Published in: MANAGEMENT OF ENVIRONMENTAL QUALITY
• Main Authors: Waris, Idrees; Suki, Norazah Mohd
• Format: Article; Early Access
• Language: English
• Published: EMERALD GROUP PUBLISHING LTD 2024
• Subjects: Environmental Sciences & Ecology
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001301985300001

PurposeThis study aims to predict customers' intention (INT) to visit green hotels through an extended norm activation model (NAM) framework. The extended NAM includes environmental concern (EC), price consciousness (PC) and aesthetic values (AEV).Design/methodology/approachA quantitative survey design was used to collect 340 valid responses from customers in Pakistan. Partial least square - structural equation modeling was used to assess the hypothesized relationships.FindingsThe results show that EC and awareness of consequences have a significant ascription of responsibility (AR) and personal norms (PN) towards INT. The results confirmed the moderating effect of PC on the relationship between PN and INT and the moderating effect of AEV on relationship between PN and INT and AR and INT. The findings indicate that PN does not mediate the relationship between AR and INT. These findings indicate that customers are aware of the consequences of resource depletion and environmental pollution that result from the unsustainable hotel practices. Therefore, customers tend to visit aesthetically green hotels at affordable prices.Practical implicationsThe study proposes that green hotels should design marketing strategies in a way that increases customers' awareness and concern towards environmental issues. Marketing campaigns focusing on environmental aspects of green hotels enhance its green reputation and motivate customers to visit green hotels. In addition, managers must consider enhancing the beauty of hotels at a competitive price.Originality/valueThis is the first study to use an extended NAM by integrating EC, average variance extracted and PC to predict customers' INT towards green hotels. The extended NAM framework provides comprehensive understanding of the relationships between EC, AR and PN regarding visiting green hotels. In addition, the study emphasizes on AEV's crucial role in influencing customers' INT to visit green hotels.