Document Type

Journal Article

Publication Title

Journal of Destination Marketing and Management

Volume

25

Publisher

Elsevier

School

School of Business and Law

Funders

National Natural Science Foundation of China (grant numbers: 41971172, 41801130) / Fundamental Research Funds for the Central Universities (grant numbers: GK202003063, 2019TS013) / China Scholarship Council (grant numbers: 202006875011, 202106870052)

Comments

Hu, X., Huang, S. S., Chen, G., & Hua, F. (2022). The effects of perceived destination restorative qualities on tourists’ self-identity: A tale of two destinations. Journal of Destination Marketing & Management, 25, article 100724. https://doi.org/10.1016/j.jdmm.2022.100724

Abstract

Isolation and anomie caused by the modern life has created multiple identity threats. Tourists’ destination experience has long been considered as a unique way of identity construction. However, little research has investigated whether and how environmental restoration qualities in the tourism context can possibly reinforce self-identity and counteract the effect of identity confusion. Guided by the Attention Restoration Theory, this study aims to develop and test a model to examine the relationships between the dimensions of perceived destination restorative qualities (PDRQs) and tourist self-identity with two tourist samples in China collected in two distinctive destinations (Sample 1, n = 361; Sample 2, n = 323). Results show that in both samples, the PDRQs dimensions of compatibility and mentally-away positively contributed to self-identity, while the dimension of physically-away had no significant effect on self-identity. In addition, the dimensions of extent and fascination had differentiated effects on self-identity across the two samples. This study provides empirical evidence to show that destinations have the potential to promote tourist identity reconstruction.

DOI

10.1016/j.jdmm.2022.100724

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Monday, September 30, 2024

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