Browsing by Subject "Online food delivery application"
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ItemFactors affecting customer satisfaction with online food delivery application during the COVID-19 outbreak in Bangkok: a case study of top three applications(Bangkok : Assumption University Press, 2022) Pornsuda Bunarunraksa ; Chompu NuangjamnongThis 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.