Advanced search
Publication Cover
Journal of China Tourism Research Volume 20, 2024 - Issue 2
Submit an article Journal homepage
206
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Self-Protective Dining Behavior: An Investigation on Consumer’s Use of Online Food Delivery Service

自我保护性用餐行为: 消费者使用在线食品外卖服务的调查

Pearl M. C. Lina School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong, SAR, ChinaORCID Iconhttps://orcid.org/0000-0002-4320-3866View further author information
ORCID Icon,
Chih-Hung Wub Department of Digital Content and Technology, National Taichung University of Education, Taichung, TaiwanView further author information
,
Chin-Yi Fangc Graduate Institute of Sport, Leisure, and Hospitality Management, National Taiwan Normal University, Taipei, TaiwanView further author information
&
Wai Ching Wilson Aua School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong, SAR, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7963-2937View further author information
ORCID Icon
Pages 378-402 | Received 14 Jun 2022, Accepted 06 Mar 2023, Published online: 15 May 2023

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.