Factors affecting customer satisfaction with online food delivery application during the COVID-19 outbreak in Bangkok: a case study of top three applications

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au.link.externalLink [Full Text] (http://www.assumptionjournal.au.edu/index.php/auhiu/article/view/6277/3473)
dc.contributor.author Pornsuda Bunarunraksa
dc.contributor.author Chompu Nuangjamnong
dc.date.accessioned 2022-08-03T03:48:24Z
dc.date.available 2022-08-03T03:48:24Z
dc.date.issued 2022
dc.description.abstract This research aimed to determine the factors that affect customer satisfaction with online food delivery application (OFDA) during the COVID-19 outbreak in Bangkok, which study the top three applications (FoodPanda, LineMan, and GrabFood). The sample estimate of 434 respondents was drawn from an online questionnaire using non-probability sampling, which is a method that involves non-random selection based on convenience and ease of data collection. The respondents will be screened based on the research objective so that the sampling will be accessible. After compiling the data, it used Multiple Linear Regression to analyze, prove, and indicate hypotheses’ relevance. This research found that environmental quality, convenience motivation, perceived price, promotion and discount, online tracking, and transaction significantly affected online food delivery applications during the COVID-19 outbreak in Bangkok. Moreover, the researcher should examine specific online food delivery applications (OFDA) to identify customer satisfaction clearly, and issues with each specific online food delivery application (OFDA) since the summary from this research may be known only from customers’ perspective in Bangkok.
dc.format.extent 14 pages
dc.format.mimetype application/pdf
dc.identifier.citation AU-HIU International Multidisciplinary Journal Vol. 2, Issue 2 (July-December 2022), 48-61
dc.identifier.uri https://repository.au.edu/handle/6623004553/25401
dc.language.iso eng
dc.publisher Bangkok : Assumption University Press
dc.rights This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.rights.holder Assumption University
dc.subject Online food delivery application
dc.subject Customer satisfaction
dc.subject Outcome quality
dc.subject Interaction quality
dc.subject Promotion and discount
dc.subject.other AU-HIU International Multidisciplinary Journal
dc.subject.other AU-HIU International Multidisciplinary Journal -- 2022
dc.title Factors affecting customer satisfaction with online food delivery application during the COVID-19 outbreak in Bangkok: a case study of top three applications
dc.type Text
mods.genre Journal Article
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AU-HIU International Multidisciplinary Journal Vol. 2, Issue 2 (July-December 2022)