User generated content for exploring factors affecting intention to use travel and food delivery services

Ray, Arghya; Bala, Pradip Kumar

doi:10.1016/j.ijhm.2020.102730

Cited by 91 publications

(55 citation statements)

References 45 publications

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“…Additionally, Cho, Bonn, & Li, 2019 identified system trust, convenience, design, and various food choices as significant predictors of customer intention to continuously use food delivery apps. Roh and Park (2019) also revealed that compatibility, ease of use, and usefulness were significant predictors of CIU, but Ray & Bala, 2021 presented price benefits, trust, and app-interaction enhanced CIU. Considering the inconsistent findings, the significant predictors affecting CIU are not clearly outlined.…”

Section: Literature Reviewmentioning

confidence: 95%

“…Considering the inconsistent findings, the significant predictors affecting CIU are not clearly outlined. Given the peculiarities of ordering food and beverage online rather than going to restaurants and based on existing literature related to technology acceptance (i.e., Technology Acceptance Model) and OFD-related literature ( Cho, Bonn, & Li, 2019 ; Gunden et al, 2020 ; Ray & Bala, 2021 ; Ray, Dhir, Bala, & Kaur, 2019 ; Roh & Park, 2019 ; Suhartanto, Helmi Ali, Tan, Sjahroeddin, & Kusdibyo, 2019 ; Won et al, 2017 ; Yeo, Goh, & Rezaei, 2017 ; Zhao & Bacao, 2020 ), Study 1 employs the six variables to predict customer intention to use OFD services. Moreover, two factors adopted from the Health Belief Model — perceived severity and perceived vulnerability—were included in Study 2 to reflect the COVID-19 pandemic context.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, Grubhub offers a $10-off promotion to new customers and a student discount ( Groupon, 2021 ). In OFD service setting, price saving promotions often serve as effective marketing tools as demonstrated by Kaur et al (2021) as well as Ray & Bala, 2021 who revealed that free delivery, lower delivery fees, or promotional incentives enhance CIU. Kaur et al (2021) further noted that customers using OFD services search for a price advantage.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic

Hong

Choi

et al. 2021

Journal of Hospitality and Tourism Management

159

118

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With the emerging popularity of online food delivery (OFD) services, this research examined predictors affecting customer intention to use OFD services amid the Coronavirus disease (COVID-19) pandemic. Specifically, Study 1 examined the moderating effect of the pandemic on the relationship between six predictors (perceived usefulness, perceived ease of use, price saving benefit, time saving benefit, food safety risk perception, and trust) and OFD usage intention, and Study 2 extended the model by adding customer perceptions of COVID-19 (perceived severity and vulnerability) during the pandemic. Study 1 showed that all of the predictors except food safety risk perception significantly affected OFD usage intention, but no moderation effect of COVID-19 was found. In Study 2, while perceived severity and vulnerability had no significant impact on OFD usage intention, the altered effects of socio-demographic variables during the COVID-19 pandemic were found. Theoretical and managerial implications are provided.

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Section: Literature Reviewmentioning

confidence: 95%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic

Hong

Choi

et al. 2021

Journal of Hospitality and Tourism Management

159

118

View full text Add to dashboard Cite

show abstract

“…Travel risk indicates the cancellation of flights due to the tourists’ travel restrictions, travel risk and management perceptions. The travel cancellation leads to tourists’ negative emotion, anxiety and disappointment [ 34 ]. In line with this, service delivery or service efficiency is crucial to tourism initiative performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Covid-19 pandemic on tourist travel risk and management perceptions

et al. 2021

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This study aims to explore the impact of the Covid-19 pandemic on tourists’ travel risk and management perceptions. Driven on the effect of the pandemic, we investigate tourists’ travel risk and management perceptions and its effect on society using a sample of 716 respondents. The data was collected through social media platforms using a representative sampling method and analyzed applying the PLS-SEM tool. The findings reveal that Covid-19 pandemic has greatly affected travel risk and management perceptions. Travel risk and management perception had a significant association with risk management, service delivery, transportation patterns, distribution channels, avoidance of overpopulated destinations, and hygiene and safety. The results also identified the mediating effect of travel risk and management perceptions. The finding of this study contributes to tourism crises and provides future research insights in the travel and tourism sector and response to change tourists’ travel risk and management perceptions in the post-covid recovery period.

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“…Second, Troise et al (2020) integrated the technology acceptance model (TAM) and TPB to examine the behavioral intention to use online food delivery services. Few researchers examined consumer's adoption of food delivery applications during COVID-19 pandemic (Ali et al, 2021;Choe et al, 2021;Ray and Bala, 2021;Kim et al, 2021). However, all of these studies ignored the customers' safety concern in COVID-19 pandemic, such as knowledge on food safety and delivery hygiene and social isolation, which might influence customers' decision to use MFDA service.…”

Section: Introductionmentioning

confidence: 99%

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

Amin

Arefin

Shamsul

et al. 2021

Journal of Food Products Marketing

106

129

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The purpose of this study was to identify the factors influencing consumers' behavioral and continuance intention to use mobile food delivery applications (MFDAs) during COVID-19 pandemic. Based on the theory of Planned Behavior, we examined the impact of social isolation, food safety, delivery hygiene, subjective norms, dining attitudes, and behavioral control on behavioral and continuous intention to use MFDAs. Data were collected from 432 users and analyzed using Structured Equation Modeling. The results showed that delivery hygiene, subjective norms, attitudes, and behavioral control were related to both behavioral and continuance intention to use MFDAs, whereas perceived food safety was related to behavioral intention and social isolation was related to continuance intention. Moreover, behavioral intention mediated the impact of perceived food safety, delivery hygiene, attitudes, and behavioral control on continuance intention. This study incorporated situational factors into theory of Planned Behavior, which might guide the practitioners to use MFDAs during COVID-19.

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User generated content for exploring factors affecting intention to use travel and food delivery services

Cited by 91 publications

References 45 publications

Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic

Factors affecting customer intention to use online food delivery services before and during the COVID-19 pandemic

Effect of Covid-19 pandemic on tourist travel risk and management perceptions

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

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