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In the wake of lockdown regulations and limited mobility during the COVID-19 pandemic, dining habits shifted towards usage of food delivery apps to avoid physical interaction. Nonetheless, it is unknown whether the COVID-19 pandemic had an influence on the adoption of food delivery apps. Therefore, this study examined factors influencing the adoption of food delivery apps during the COVID-19 pandemic, as well as the moderating effects of education and age.

Data were collected from 282 food delivery application users in South Africa using a web-based survey. Partial least square structural equation modelling analysis was used to test the hypotheses, while partial least squares multigroup analysis was used to examine the moderating effect of education level and age.

The results indicated that perceived ease of use has a significant impact on perceived usefulness and attitudes, perceived usefulness has an impact on attitudes and continuous intention, attitude influences continuous intention and social pressure and convenience influence attitudes. The perceived COVID-19 threat had no impact on attitudes, and education and age had no significant impact on any relationships. The findings are imperative for restaurants and mobile application designers, as they enable more effective strategic management planning.

This study is the first paper to empirically employ technology acceptance model to analyse the adoption of food delivery applications during the COVID-19 pandemic. Its uniqueness is in examining situational influence associated with the pandemic such as social pressure, perceived COVID-19 threat and convenience.

This study explores food delivery app users and technology acceptance model as a theoretical underpinning. This study thus investigated the determinants of usefulness, ease of use and intention to use for food delivery app service.

The variables of delivery time, diverse menu, quarantine, review quality and ease of use are employed as determinants of usefulness. The antecedents of ease of use are easy registration and easy payment. This study also examined the association between ease of use, usefulness and intention to use. This study collected data using Amazon Mechanical Turk, and the number of valid observations for statistical analysis was 484. A structural equation model was used to test the hypotheses.

Regarding the results, usefulness was positively affected by delivery time, quarantine, review quality and ease of use. Additionally, ease of use was positively impacted by easy registration and easy payment. Finally, this study showed that ease of use positively affects both usefulness and intention to use, and usefulness is positively associated with intention to use.

This study contributes to the literature by ensuring the explanatory power of technology acceptance model for food delivery app.

Guided by the theory of planned behavior and the technology acceptance model, the purpose of this study was to comprehensively examine the factors that affect consumers' intentions to continue to use food delivery apps by developing and testing a research model and examining the differences between consumers with different demographic characteristics or behavior changes during the coronavirus disease 2019 (COVID-19) pandemic.

An online survey instrument was developed, and 316 valid responses were collected. A measurement model was developed and tested by using the structural equation modeling partial least squares (SEM-PLS) method.

The four basic constructs in the theory of planned behavior model (attitude, subjective norms, perceived behavioral control and trust) positively predicted consumers' intentions to continue to use food delivery apps. Predictors (including perceived innovativeness, hedonic and utilitarian motivations, perceived usefulness, perceived ease of use, and food safety risk perception) of these four basic constructs were also identified and confirmed. Multigroup analyses were conducted, and differences were found between male and female consumers and those with different ordering frequencies during the COVID-19 pandemic.

This study expanded the application of the theory of planned behavior by examining consumers' intentions to continue using food delivery apps and improved the authors’ understanding of this theory. Further, the successful application of the technology acceptance model improved the authors’ understanding of consumers' attitudes and behavioral intentions related to food delivery app usage.

This research empirically studies consumers' continued intention to use mobile food delivery applications (apps) during the post-pandemic era in Saudi Arabia.

Using the unified theory of adoption and use of technology 2 (UTAUT2) as a theoretical model, this study collected data from a survey of 304 Saudi Arabian consumers. Structural equation modelling (SEM) was used to examine the proposed model and its hypotheses.

Social influence and performance expectancy (PE) had the strongest effects on the intention to continue using mobile food delivery apps in the post-pandemic era. In addition, effort expectancy (EE) significantly influenced PE regarding the adoption of food delivery apps. Meanwhile, EE was not an important predictor of the continued intention to use mobile food delivery apps in Saudi Arabia.

This study enriches the literature on consumers' continued intention to use food delivery apps in the post-pandemic era, a subject that has rarely been studied. In addition, this study expands the theoretical potential of the UTAUT2 model by examining the role of trust in continued intention and the effect of PE on EE in the adoption of food delivery apps during the post-pandemic era in Saudi Arabia.

This paper aims to utilize an extended involvement-commitment and trust commitment model to examine post-consumption decisions related to food delivery app use.

A self-administered online survey was used to collect data from food delivery app users in the USA.

Findings validate a favorable role of perceived app security and menu description on trust in app recommendations. Trust was found to be positively related to involvement, commitment and willingness to provide feedback. The positive moderating role of perceived convenience and rewards and incentives was also confirmed in relation to consumers’ trust in app recommendations, and involvement and commitment

A key contribution of this study includes the development of a comprehensive model to understand postconsumption decisions related to the usage of food delivery apps. To the best of the authors’ knowledge, this study is also the first to unveil the antecedent and moderating factors related to food delivery app users’ willingness to provide feedback, share personal data and to pay more.

This paper aims to examine desirable post-adoption outcomes related to food delivery apps using the involvement-commitment model (ICM) and the boundary of (Islamic) religiosity, which is an important facet of communities in many parts of the world today. Importantly, the study provides an in-depth understanding of the boundary role of religiosity in the links between involvement, commitment, resistance to negative information and advocacy intention in relation to food delivery app use.

Data collected from 498 respondents in Saudi Arabia was used to test the research hypothesized model.

The results from the partial least squares structural equation modeling technique lend credence to past research calling for the contextualization of theories, especially since this paper find religiosity to be an important boundary condition to the ICM in relation to food delivery apps in an Arab nation.

This paper focuses specifically on the ICM and the boundary of (Islamic) religiosity. The cardinal contribution of this study, therefore, lies in the contextualization of ICM within the Arab world concerning post-adoption behavior related to food delivery apps. To the best of the authors’ knowledge, this is likely the first study to do so in the marketing, hospitality and technology-based literatures.

This study attempts to explore major attributes of food delivery applications in consideration of their impacts upon perceived service quality, satisfaction and usage intention. A multi-group analysis is performed to examine the hypothesized relationships in the structural models for the millennials and non-millennials.

The data was collected from 311 food delivery application users. The structural equation model (SEM) was designed to examine the interrelationships among variables.

The findings indicate that five salient dimensions that include ease of use, facility aesthetics, trustworthiness, value for money and product portfolio have a significant impact on overall service quality. Results further demonstrate that differences in generational difference partially moderate the relationship between each attribute of the food delivery application service quality as well as overall service quality.

The rapid evolution of the Internet and mobile communication has resulted in the proliferation of food delivery applications in China. However, to the best of our knowledge, only a few studies have focused on measuring the key dimension of service quality of food delivery applications.

Consumers shopping motives may differ across products/services categories, retail formats and channels. In the context of m-Apps-based commerce, this study aims to explore different shopping motives of consumers in three different categories of app, namely, food delivery, ride sourcing and digital payments. Using motivation literature, the study extends the theory of consumer motives by including sustainability as a key motive to buy in the context of m-App channel. Further, the authors undertake a comparative analysis of the identified motives across the three mobile applications (m-Apps).

The research methodology involved two stages (qualitative research followed by quantitative research). In qualitative research, personal interview was conducted to extract items for survey questionnaire development. Subsequently, quantitative analysis was carried out. The data were subjected to exploratory factor analysis and confirmatory factor analysis (CFA). The study sample comprised 201 young Indian managers.

Using principal component analysis and CFA, the study validates the existence of different motivations in the three categories of m-Apps considered. Transaction-oriented and sustainability-oriented motivation is found to be a major motive to use m-Apps for food delivery, ride sourcing and mobile payments. Additionally, in digital wallet applications for mobile payments, consumers exhibit innovation-oriented motivation. Value-oriented motivation was identified as a motive in food delivery apps.

The scale developed and the comparative study done extended the theoretical conversation on young consumer motives in the context of m-Apps channel and extended it by including sustainability motive, which needs further in-depth study.

This is one of the first studies to explore sustainability motives in the context of m-Apps channel.

Online food delivery service has evolved swiftly and stretched the bounds of the catering business. In the gig economy, being a food delivery rider draws employees with the promise of flexibility and independence. To this end, the purpose of this paper is to explore the main themes shared in online reviews by food delivery riders and which of these themes are linked to positive and negative ratings.

The authors used 729 employee reviews posted on the Glassdoor website. In addition, they used content analysis to examine reviews of Uber Eats online food ordering company shared by food delivery riders on an online platform.

The results of this study include seven main themes: “earning,” “customers,” “orders,” “tips,” “car,” “flexible schedule” and “app” (navigation). Positive concepts are associated with “earning,” “orders,” “tips” and “flexible schedule.” Negative themes are linked to the “app” (navigation), “car” and “customers.”

Management should consider online reviews as employees’ opinions and voices. Specifically, management should provide financial support to employees for car maintenance, offer insurance for income stability and arrange training programs to enable them to use several tip-enhancing behaviors.

No research has been conducted using online reviews from an employment search engine to investigate employees’ experiences of online food delivery. To the best of the authors’ knowledge, this study is one of the first attempts using user-generated content from an employment search engine to explore employees’ experiences.

This study aims to explore the human resource management (HRM) practices related to training and feedback in the app work industry, specifically in online food delivery service, and investigate the emotional and behavioral responses of gig workers.

This study adopts a qualitative approach by interviewing 19 gig workers from six food delivery firms operating in different countries.

The results show limited training and feedback opportunities are provided to app workers, although the complexity of training and delivery methods differ across platforms. To address this shortage, app workers developed response strategies relying on social interaction.

This study adds to the research on HRM practices in the gig economy by portraying the way in which training and feedback unfold in the food delivery app ecosystem and by disclosing the gig workers’ emotional and behavioral responses to it.

This study shows that the way training activities are currently designed may provide little value to the ecosystem and are likely to produce negative emotional responses in gig workers. Thus, platform providers may make use of these findings by introducing more transparent feedback and social learning opportunities.

To the best of the authors’ knowledge, this study is among the first empirical studies on online delivery gig workers addressing specific HRM practices. It reveals significant insights for training and feedback, suggesting app economy characteristics strongly affect training and feedback practices for app workers.