Service design for the destination tourism service ecosystem: A review and extension

Gao, Ying; Zhang, Qing; Xu, Xiaofeng; Jia, Fu; Lin, Zhibin

doi:10.1080/10941665.2022.2046119

Service design for the destination tourism service ecosystem: A review and extension

Gao, Ying; Zhang, Qing; Xu, Xiaofeng; Jia, Fu; Lin, Zhibin

Authors

Ying Gao

Qing Zhang

Xiaofeng Xu

Fu Jia

Professor Zhibin Lin zhibin.lin@durham.ac.uk
Professor

Abstract

This paper aims to synthesize two emerging streams of literature in tourism, i.e., service design and destination ecosystem, and develops a conceptual framework for service design for the destination tourism service ecosystem (DTSE). We first collected and evaluated 103 articles in 48 journals to construct a conceptual framework. Three core themes revealed from the literature review include service concept, service ecosystem and service process. Based on the thematic findings, we built a two-level nested framework of a DTSE and developed an integrated model for the service design on a DTSE. A case study of Tangbu Village in China was used to expound the practical application of the model. By incorporating the social-ecological system dynamics thinking and coopetition among actors within the destination ecosystem, the paper advances the two streams of research of destination ecosystem and tourism service design and further proposes an agenda for future research.

Citation

Gao, Y., Zhang, Q., Xu, X., Jia, F., & Lin, Z. (2022). Service design for the destination tourism service ecosystem: A review and extension. Asia Pacific Journal of Tourism Research, 27(3), 225-245. https://doi.org/10.1080/10941665.2022.2046119

Journal Article Type	Article
Acceptance Date	Feb 20, 2022
Online Publication Date	Mar 29, 2022
Publication Date	2022
Deposit Date	Mar 4, 2022
Publicly Available Date	May 23, 2022
Journal	Asia Pacific Journal of Tourism Research
Print ISSN	1094-1665
Electronic ISSN	1741-6507
Publisher	Taylor and Francis Group
Peer Reviewed	Peer Reviewed
Volume	27
Issue	3
Pages	225-245
DOI	https://doi.org/10.1080/10941665.2022.2046119
Public URL	https://durham-repository.worktribe.com/output/1213310

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© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.