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Understand the Chinese Z Generation consumers' Green hotel visit intention: An Extended Theory of Planned Behavior Model.
Wu, Haodong; Wang, Weizheng; Tao, Yinying; Shao, Ming; Yu, Chenwei.
Afiliação
  • Wu H; School of Design, Jiangnan University, China.
  • Wang W; Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, China.
  • Tao Y; School of Design and Fashion, Zhejiang University of Science and Technology, China.
  • Shao M; School of Design and Fashion, Zhejiang University of Science and Technology, China.
  • Yu C; School of Art and Archaeology, Hangzhou City University, China.
Heliyon ; 10(3): e25067, 2024 Feb 15.
Article em En | MEDLINE | ID: mdl-38317900
ABSTRACT
In the context of growing environmental concerns and a shift towards sustainable tourism, understanding the behaviors of younger generations, particularly Generation Z, becomes crucial for the hotel industry. This study investigates the intentions of Chinese Generation Z consumers to visit green hotels, using an extended Theory of Planned Behavior (TPB) model incorporating multi-dimensional green perceived value. A questionnaire survey with 436 participants was conducted, and structural equation modeling was employed for data analysis. The study reveals that Functional value significantly shapes the inclination towards green hotels among Chinese Generation Z. Emotional value and Subjective norms also positively influence visit intentions, whereas social value, although not a significant driver, provides insights into the distinct nature of green consumption behaviors. This study's findings offer strategic insights for green hotel operators and policymakers to attract this demographic segment, emphasizing Chinese Generation Z consumers' unique preferences and values.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China