What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?

Abstract

Highlights Investigating factors affecting users’ continuance intention of using food delivery apps during COVID-19 pandemic period. Proposing a comprehensive model integrating UTAUT, ECM and Task-technology fit model. Explaining users’ continuance usage intention is determined by their technological and mental perceptions. Perceived task-technology fit formulates users’ perceptions when the technology’s functions meeting their requirements.

The effect of COVID-19 pandemic on domestic tourism: A DEMATEL method analysis on quarantine decisions

“… Shin and Kang (2020) conducted three experimental studies using online survey samples to examine the impact of expected interaction and expected cleanliness on perceived health risk and hotel booking intention. Furthermore, purchasing online food deliveries ( Cai and Leung, 2020 ) and factors determining customers’ experience using food delivery apps during the COVID-19 pandemic period ( Zhao and Bacao, 2020 ) has also been analyzed.…”

The Impact of COVID-19 on Horticulture: Critical Issues and Opportunities Derived from an Unexpected Occurrence

“…Choi et al [93] prepared an analytical model that is capable of evaluating how the virtuous combination of logistics and new technologies is able to transform the pre-COVID-19 context, defined as "static service operations", into an active and functional model for the consumer at the COVID-19 time defined as "bring-service-near your home mobile service operation". There has been a notable development of home delivery as a first resilience reaction [94], to replace direct purchasing in person, with a consequent development of new applications for smartphones [95], to manage and order the desired products, thereby allowing the consumers to remain at home and maintain social distancing. These dynamics have also developed in the urban farming context, thus not only bypassing conventional transport, but at the same time also replacing transportation, since food can be produced directly in the environment where it is consumed (e.g., houses or condominiums), thereby ensuring a timely supply and reduced user movement.…”

Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior

“…Recently, two studies examined the behavioral intention to use food delivery services during the COVID-19 pandemic. First, Zhao and Bacao (2020) examined the determinants of consumers' continuance intention using a framework based on UTAUT, Expectation Confirmation Model (ECM) and perceived task-technology fit (TTF). Second, Troise et al (2020) integrated the technology acceptance model (TAM) and TPB to examine the behavioral intention to use online food delivery services.…”