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The growth of the internet has transformed digital infrastructure in Thailand over the past two decades, with the widespread use of e-commerce, digital money and online services becoming a daily norm for all ages. The COVID-19 restrictions, which limited in-person business operations, boosted demand for takeout and delivery services and fueled the expected steady growth of the online food delivery market in Thailand. The pandemic also resulted in a shift towards online ordering and delivery, reflecting changes in customer behavior. This study focuses on exploring the factors that have driven Bangkokians to use online food delivery services after the COVID-19 restrictions were lifted in June 2022.

Data were collected from 398 participants who had ordered food delivery services after the announcement.

The findings showed that perceived usefulness, time saving benefit and price saving benefit have a significant impact on the intention of customers to use online food delivery services, while food safety risk perception had no effect.

Bangkokians favor online food delivery services due to convenience and time-saving, indicating high demand post-pandemic. Businesses should invest in improving their platforms to meet evolving consumer behavior.

The result of this study offers valuable insights into the attitudes and behaviors of Bangkokians towards online food delivery services and could be beneficial for businesses in the industry to improve their services, enhance customer satisfaction as well as increase their competitiveness.

Online food delivery has been prevalent in recent years worldwide, especially during the COVID-19 pandemic, and people's consumption behaviors have changed significantly. This study aims to investigate the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic and focuses on the dominant factors influencing their decision to use online food delivery platforms.

Semi-structured interviews including 14 young adults aged 18–25 living in Hong Kong were conducted to collect data about their perspectives on online food delivery platforms in five areas. This research adopted the stimulus-organism-response model (S-O-R model) to analyze how the factors influence young adult users' loyalty and satisfaction with online food delivery platforms.

Thematic analyses revealed that young adults were attracted to online food delivery platforms for their numerous benefits. They had a high frequency of usage and significant spending. Usability, usefulness, satisfaction and loyalty influenced young adults' behaviors on online food delivery platforms. Participants were overall satisfied with their experiences, but platforms still had room for improvement.

Few prior studies investigated the factors affecting the consumer experience and behavioral intention of online food delivery for young adults in Asia. This study contributes to understanding young adults' experiences and problems with online food delivery platforms. It provides practical insights for system engineers and designers to improve the current services and for the governments to enhance the existing regulatory loopholes.

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.

Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.

Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.

Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.

Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.

Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.

This study aims to fill this paucity of knowledge by exploring and formulating a formative index to measure the up-to-date quality of online food delivery (DEQUAL). The quality measurements for online food delivery have not been well recognized and even little is known after the COVID-19 outbreak. This study fills this paucity of knowledge by exploring and formulating a formative index to measure the up-to-date quality of online food delivery (DEQUAL).

Owing to the explorative nature and the lack of developed quality theory under the unprecedented COVID-19 pandemic, DEQUAL is conceptualized as a formative construct. This study adopts a mixed-method approach including expert interviews and online surveys to ascertain the underlying structure of DEQUAL.

Using partial least squares structural equation modeling as the analytical method, the results support that DEQUAL is a formative construct with 32 indicators. This study provides a measurement index with robust psychometric properties to assist practitioners in evaluating DEQUAL.

This study contributes a theoretical and empirical-based conceptualization of DEQUAL as a multi-dimensional construct. Supplementing the past studies which commonly applied the reflective approach, this study evinces that the formative approach is also appropriate and thence furnishes the relevance of the formative index in the service management theories.

Practitioners are suggested to apply the validated indicators for service audit and customer relationship management. By systematically monitoring and measuring the online food delivery service quality, restaurants can improve customer satisfaction and loyalty.

This study offers various insights to the service quality literature in the food delivery service context.

The study aims to examine factors that influence customers' intention to use online food delivery applications using a smartphone. The factors examined in this study are based on the existing theory of Unified Theory of Acceptance and Use of Technology (UTAUT) namely performance expectancy, effort expectancy, social influence, information quality, price-saving orientation and time-saving orientation towards intention to use the applications. Moreover, this research model also has been expanded with an additional dimension, attitude towards online food delivery services which lead to the intention to use online food delivery services through a smartphone. Furthermore, the present study also tested the role of age as moderator constructs between attitude towards online food delivery services and intention to use online food delivery services through a smartphone.

The study employed a quantitative method and 256 respondents participated in this study. The questionnaires are distributed using a convenience sampling technique and the data is analysed using partial least square approach.

The result shows that four (4) constructs, i.e. social influence, information quality, price-saving orientation and time-saving orientation have a positive relationship and significant effect on attitude towards online food delivery service where it enhances the intention to use the application. Attitude towards online food delivery services also has a significant effect on the intention to use. Furthermore, age was not found significant to moderate the relationship between attitude and intention to use.

The output of this study has several practical contributions such as enhances the existing knowledge and skillset of the shared-economy industry, online food delivery service providers as well as restaurant owners in improving the quality of life of the customers. It also provides contextual knowledge and a deeper understanding of online food delivery applications for customers in Malaysia.

The findings provide a guiding principle for improving the present determinant factors, attitude towards online food delivery service and intention to use online food delivery applications.

The core idea of this paper was to empirically evaluate the factors affecting the choices of consumers while ordering food online. The goal was to explore consumer behavior in the emerging industry of online food delivery business in an emerging economy, Bangladesh.

This paper used a qualitative and exploratory approach through the collection and analysis of data from a total of 177 survey respondents. Statistical analyses of all collected data (utilizing t-tests and factor analysis) were used to conclude the factors important to consumers in ordering food online through online food delivery intermediaries.

Results showed delivery time, service quality, price and condition of food delivered as factors constitute the first factor considered to be directly affecting the success of online food delivery. Variety and number of restaurants, menu, delivery tracking service and attitude of a delivery person are found to constitute the second factor and considered as indirect factors.

Online food ordering has been a very emerging sector globally and also a recent phenomenon in Bangladesh. The development and the availability of the internet combined with the busy life schedule has prompted businesses to address another need among consumers, the need to deliver foods at consumers' doorsteps. Understanding the consumer landscape better would help realize the full potential of the e-commerce platform as it can influence the economy, businesses and the quality of life of people.

The online food delivery business is new and growing and demands greater researches for better understanding by academicians and practitioners. This paper expands the limited existing research related to the online food delivery business and explores consumer behavior in the industry. From a managerial perspective, the paper contributes to understanding the consumers more broadly.

This study investigates the motivation among customers to be more loyal to online food delivery applications (OFDA) services even after the COVID-19 epidemic by using perceived service quality aspects in Sri Lanka. The data were gathered by physically distributing a self-administrated questionnaire to clients in Sri Lanka who continue to use OFDA services on platform to customer (P2C) service delivery platforms to buy food despite the COVID-19 outbreak. Multiple regression is employed to analyse 287 effective observations, and the data revealed the significant positive effect of interaction, environment, outcome, and food qualities on customer loyalty to OFDA services. In fact, there is no impact from the delivery quality on customer loyalty to OFDA services due to outsourced food delivery. The findings suggest regular improvements in attributes such as interaction, environment, outcome, and food qualities in this hyper-competitive business environment. Further, this study sets substantial facts for the interested parties to establish an exemplary delivery system and other technological advancements to have a sustainable competitive advantage and solid customer base in the long run.

The study's purpose was to examine the role of two main factors in the design of online food delivery systems (OFDS) user interfaces: the display of pictures and calories – on consumers' attitudes toward online food delivery systems, intentions to use such systems, spending on a food item and tipping behavior.

The study is grounded in the elaboration likelihood model. A 2 × 2 randomized post-test only between-subjects experimental design manipulated the types of pictures (food item only vs consumers eating a food item) and calorie information display style (numbers vs activity symbols) to determine whether they influence consumers' attitudes, intentions to purchase, spending and tipping behaviors.

The results show that the calorie display style influences consumers' intentions to use such systems and consumers' tipping behaviors toward the delivery driver. It was also found that the type of picture shown to consumers influences their intentions to purchase through ODFS, such that pictures of consumers enjoying a product is more effective in stimulating intentions to purchase than pictures containing only the food items.

This study advances the current knowledge on web design for restaurants wishing to distribute via online food delivery systems. Moreover, this study extends the literature on persuasion in online environments by focusing on foodservice – an area that only recently has undergone substantial distribution online. Finally, this study advances the literature on tipping behavior.

This study provides several contributions for both restaurants and online food delivery system designers. Specifically, it illustrates exactly how specific elements in the design of the web interface and the message targeted at consumers influence consumers' behavior. Most importantly, this study provides insight into tipping behaviors for the delivery driver. This is important because the delivery driver is an important participant in the new value chain of restaurant delivery.

As the first study to develop an experiment that tests these important design conditions, this study offers several critical theoretical and practical implications. This study is the first attempt to examine various ways to present persuasive information in an OFDS in order to stimulate consumers' behaviors. Moreover, this study illustrates that the use of website design that enhance social presence is critical to website effectiveness in OFDS.

This article investigates the impact of the COVID-19 pandemic on the consumer preference for the attributes of online food delivery (OFD) services in India. It also shows how the order size influences the consumer's willingness to pay (WTP) for the attributes of OFD services.

This work incorporates a conjoint analysis-based approach to determine the consumer preference for the attributes of OFDs such as price, delivery time, restaurant rating and packing quality during the COVID-19 pandemic. The fractional factorial design is applied for the data collection. The relative importance of the attributes and the part-worth utility of the attributes' levels have been determined. Further, the utility associated with the attributes' levels is used to find the consumer's WTP for different attributes.

The COVID-19 pandemic has changed consumer preference from price to food and packing quality in India. When the order is small, consumers exhibit a higher preference to the delivery time than packing quality. In contrast, consumers show a higher preference to packing quality than delivery time with the increase in order size. The consumer's WTP attains the highest level in case of food quality, followed by convenience and packing quality. The WTP for the attributes rises with the increase in order size.

The insights highlight the need for the online food delivery industry to redesign the business framework in the post-pandemic era. The hygiene and safety measures maintained by the consumers during the pandemic have significantly changed their purchasing behaviour, raising their preference for service quality (food and packing quality) of the OFD services apart from price.

This work determines the consumers' utility for each attribute level of OFDs, along with their relative importance. Moreover, this study contributes to the existing literature by exhibiting the impact of the COVID-19 pandemic on the consumer preference and order size on consumer's WTP for the attributes.