ABSTRACT
There is a paucity of research on the role of food delivery apps (FDAs) in food waste generation. This gap needs to be addressed since FDAs represent a fast-growing segment of the hospitality sector, which is already considered to be a key food waste generator globally. Even more critically, FDAs have become a prominent source of ordering food during the COVID-19 pandemic. In addition, the growing usage of FDAs warrants an improved understanding of the complexities of consumer behavior toward them, particularly during a health crisis. The present study addresses this need by examining the antecedents of FDA users' food ordering behavior during the pandemic that can lead to food waste. The study theorizes that hygiene consciousness impacts the enablers and barriers to FDA usage, which, in turn, shape the attitude toward FDAs and the tendency to order more food than required, i.e., shopping routine. The conceptual model, based on behavioral reasoning theory, was tested using data collected from 440 users of FDAs during the pandemic. The results support a positive association of trust and price advantage with attitude, but only of trust with shopping routine. Perceived severity and moral norms did not moderate any associations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Purpose: The outbreak of COVID-19 in early 2020 compelled consumers to abstain from dining out and instead use online food delivery (OFD) services. This study aims to examine the determinants of OFD sales in a restaurant during the COVID-19 crisis. Design/methodology/approach: We analyzed 139,812 restaurant-level credit card OFD transaction data from January 2019 to June 2020 in Seoul, South Korea. Findings: During COVID-19, many restaurants participated and experienced sales growth through the OFD platforms. On the demand side, the composition of customers using OFD services has changed, replacing the demand for dining out. Our estimation results show that the food category, customer composition ratio, and past performance significantly affected restaurants' OFD revenue during the pandemic. Research limitations/implications: The results suggest implications for the restaurant industry responding to chang-ing customer needs on OFD platforms. Restaurants with high-performing OFDs before the pandemic experienced higher sales during the pandemic period. The results imply that experiences to fit customers' needs toward OFD are likely to help restaurants overcome the losses incurred due to the COVID-19 outbreak. Originality/value: This study empirically revealed the effect of store category, past performance, demographic, and geographical customer profile on OFD demand for external shocks such as COVID-19. © The Author(s).
ABSTRACT
This study aims to investigate how consumer's use of online food delivery (OFD) services is driven by its self-protective nature. Drawing on protection motivation theory, the unified theory of use and acceptance of technology, and diffusion of innovation theory, an integrated model was tested with 1,000 empirical data points to explain consumers' OFD use during the pandemic. Results confirmed the self-protective nature of OFD use by uncovering a significant positive effect of fear of COVID-19 on consumers' OFD ordering frequency. Perceived vulnerability contributed more strongly to an individual's fear of COVID-19 than perceived severity in dining activities. These findings theoretically expand the current understanding of OFD services and provide practical implications for OFD platforms, restaurateurs, and governments.
ABSTRACT
The COVID-19 pandemic and the subsequent lockdown of cities have led to the rapid growth of online food delivery (OFD). Moreover, there are concerns that OFD platforms may impose offers on users in order to continue to increase their market share, leading to numerous environmental issues such as overconsumption and a significant increase in plastic packaging waste. Most studies have focused on the environmental impacts associated with food packaging and have been mostly limited to China. However, less research has been carried out on the overall CO2 emissions of an OFD order including food. In this study, the CO2 emissions of an OFD order were assessed by considering the production, distribution, consumption and disposal of the ingredients, based on lifecycle thinking and existing secondary data, for three representative food groups (Western food, Japanese food and Chinese food) in Japan. This study found that the food production of an OFD order accounts for more than 70% of the CO2 emissions of the entire process, especially food ingredient production. Policy support and initiatives such as OFD platforms being able to serve different quantities of food based on actual consumer demand to avoid food waste, as well as changes in delivery methods, would help reduce the CO2 emissions of OFD. © 2023 by the authors.
ABSTRACT
Purpose: 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). Design/methodology/approach: 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. Findings: 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. Research limitations/implications: 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. Practical implications: 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. Originality/value: This study offers various insights to the service quality literature in the food delivery service context. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
With the expansion of internet penetration and the adoption of mobile apps, usage of food delivery applications has increased significantly during the pandemic. The study's main objective was to examine the antecedents and consequences of food delivery app engagement among urban and semi-urban customers in India during COVID-19. The data were collected from 269 semi-urban respondents and 301 urban respondents. The stimulus organism and response (SOR) model has been used to understand consumers' antecedents and consequences of food delivery app engagement during the pandemic. The study used the structural equation modelling method to test the relationship between the variables. The study's findings showed that the mobile application's perceived ease of use, enjoyment, and time convenience found a significant effect among urban and semi-urban customers. This study is limited to urban and semi-urban customers with cross-sectional survey data. The study has explored a few antecedents and consequences of mobile food delivery app engagement.
ABSTRACT
PurposeThis research aims to ascertain the various operational maturity challenges faced by the online food ordering and delivery enterprises (OFODE), their nature and their interactive relationships. In particular, this paper aims to (a) identify the most relevant operational maturity challenges faced by the OFODE during the COVID-19 lockdown in Oman, (b) explore and establish any likely structural relationship among these challenges and (c) put them into logical clusters. Design/methodology/approachExperts helped to reduce the 18 initially identified maturity challenges to 13 most pressing ones. Mutual relationships, dominance of interactions and their classifications were explored using fuzzy interpretive structural modeling (FISM) and fuzzy MICMAC analysis. FindingsThe study of situation-specific operational maturity challenges convinced the authors to propose a distinct FISM model that depicts the relationship among these challenges. Keeping commissions and fees reasonable emerges as the challenge which all other challenges seemingly culminate into. One of the most important situation-specific challenges (i.e. customer confidence about infection free delivery) emerges as a linkage challenge which aggravates as well as is aggravated by certain challenges. Research limitations/implicationsBesides enriching literature, the proposed model has implications for practitioners particularly when the similar lethal waves are experienced anywhere. The number of respondents, subjective approach, specific context as well as the geographical area coverage are the key limitations. Originality/valueTo the best of the authors' knowledge, this study is the first known scientific effort which attempts to model the operational maturity challenges faced by the OFODE during COVID-19 lockdown period. The authors used the FISM modeling approach to forge these interrelated challenges into a structural model.
ABSTRACT
Globally, the COVID-19 pandemic has affected all sectors, including the food and beverage industry. The pandemic has changed customers' behavior from dine-in services to online food ordering systems. Technology advancements make ordering food easier with Online Food Delivery (OFD) service. However, before buying food online, consumers require a physical assessment to decide to buy the food or beverage. Augmented Reality (AR) is a popular technology to show 3D virtual elements. Meanwhile, the stimulus organism response (SOR) framework can be used to analyze consumers' behavior. More specifically, the SOR model has been used to evaluate the user's behavior intention to accept online shopping apps. However, in the OFD context, there is a lack of research investigating the customer's intention to use the AR app based on the SOR perspective. This study aims to assess the factors influencing consumers' intention to adopt augmented reality apps. 52 AR OFD app customers participate in this study. Partial Least Square-Structural Equation Modeling (PLS-SEM) and SMARTPLS 3 was used to analyze the research model. This study evaluated from measurement and structural model. The measurement model using factor loading, Composite Reliability (CR), Average Variance Extracted (AVE), and heterotrait-monotrait (HTMT) ratio. The structural model assessed the variance inflation factor (VIF), R2, path coefficient (β), f2, and p-value. The results showed the significance of food image on hedonic, utilitarianism, and perceived informativeness. Furthermore, hedonism was the only determinant that positively influenced the customers' intention to use the AR OFD apps. © IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
ABSTRACT
In 2020, during the early stages of the coronavirus pandemic, New Zealand's online food delivery (OFD) services saw a marked increase in popularity. New Zealand had received worldwide praise for their approach to fight Covid-19, and online businesses were important contributors, allowing the food service industry to remain viable in the face of severe restrictions. OFD research has found that the determinants of customer loyalty, such as consumer satisfaction, trust, and value are well established and largely depend on food quality, e-service quality, and OFD-service providers not being associated with COVID-19 transmission. The present study aims to fill a research gap and investigate new predictors such as OFD discomfort and proactive COVID-19 strategies, in addition to confirming well-established ones such as sociodemographic factors, perceived infection risk, perceived value, satisfaction, and trust. The Partial Least Square Structural Equation Modeling (PLS-SEM) analysis reveals that age is the only significant sociodemographic factor influencing pro-active COVID-19 strategies. While trust and perceived value are positively affected by consumers committed to proactively counteract Covid-19;satisfaction and ultimately loyalty, are positively affected by trust only. Best practice recommendations for marketing managers and OFD service providers are presented. [ FROM AUTHOR] Copyright of Journal of Foodservice Business Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
In this research, we analyzed the delivery service areas of restaurants, customer satisfaction, and restaurant sales of urban restaurants during the COVID-19 pandemic. We obtained the datasets on food ordering options and restaurant rankings based on Google Maps, Open Street Map, and widely known online food order applications in Iran. Based on this analysis we further modeled suitable areas for future extension of restaurants. We analyzed the online food order data of restaurants' sales and food delivery reports for 1050 restaurants in the city of Tabriz. We collected and analyzed data on the restaurant locations, the number of food orders for each restaurant, and the number of customers and their locations. Our results revealed that the spatial dimension of the newly emerging food delivery areas is of utmost importance for the success of restaurants. This indicates that an optimal location is not longer only dependent on factors like population density and competitors in the direct vicinity but on the services density even from more distant competitors. The results indicate that an optimized spatial distribution of the restaurants together with efficient quality in services can contribute to optimistic urban development. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
PurposeThe purpose of this study is to investigate whether the lockdown and the increased spread of food delivery applications (FD Apps) during COVID-19 pandemic have augmented the consumption of fast foods. Design/methodology/approachA cross-sectional study was conducted on 673 adults from different regions of Saudi Arabia using an online questionnaire. FindingsData showed that 61% (N = 410) of participants used FD Apps during the pandemic. Among those users, 54.9% (225) were females and 70.5% were in the 18-44 years old group. Most FD Apps' users were university graduates (74.4%). The increased use of FD Apps during the pandemic significantly affected the eating behavior and the nutritional pattern. It has further significantly augmented the consumption of fast foods (p-value < 0.05). Originality/valueThis study reports on the use of FD Apps during COVID-19 pandemic in Saudi Arabia and its impact on consumer eating pattern. This study shows the need for prudent use of these applications to limit ordering fast foods and consider healthier choices. It further calls for education programs, awareness campaigns, legislative measures and formal policies to rationalize the use of such applications for better nutrition, health and well-being.
ABSTRACT
PurposeThe purpose of this paper is to investigate, through a quantitative research, the impact of the COVID-19 pandemic on online food delivery in Italy and Poland, as well as to ascertain whether or not, under a consumer perspective, respondents consider such method as impacting on the environment and on food waste.Design/methodology/approachAn empirical survey of consumers at Italian and Polish Universities was conducted using the online survey computer-assisted web interview (CAWI) method.FindingsResults reveal that the COVID-19 pandemic has modified consumer habits in both Italy and Poland, though the researched sample does not have full knowledge of these changes. Moreover, the study has proved once again that online food delivery may impact negatively on the environment and the food waste issue.Originality/valueThis paper fills a gap in literature since, by the authors' knowledge, it is the first quantitative study analysing Italian and Polish young consumers as to online food delivery habits and their approach to sustainability aspects of this purchasing method.
ABSTRACT
This study analyses and discusses how the unique cargo movements in Japan and changes in the social environment during the COVID-19 pandemic have affected social life. Since the outbreak of COVID-19, cargo movements in Japan have undergone significant changes. This study analyses cargo movements in Japan by showing correlation coefficients to indicate the extent to which each industry was affected by the spread of the new coronavirus to infected persons. The heightened awareness of the pandemic caused by the state of emergency led to the closure of many stores and a decline in outbound shipments. Although the volume of incoming shipments increased, the volume of outgoing shipments did not. As a result, warehouse vacancy rates declined. Therefore, the study revealed that distribution centers in Japan are becoming more self-sufficient, and cloud-based logistics information systems are becoming more widely used. © 2023 Kuninori Suzuki et al., published by Sciendo.
ABSTRACT
COVID-19 pandemic, the foodservice industry has had to modify the way it offers its services. The aim of this paper is to examine the drivers of intention to use and recommendation of online food delivery (OFD) using the SOR model, to analyze the perceived risk of COVID-19 and its relationship with the perceived risk for online purchase of OFD as well as to analyze the cultural effect between Spain and India. For this purpose, an online questionnaire was developed by obtaining a sample of 422 users and structural equation modeling (PLS-SEM) was used to determine which variables had a significant influence on the adoption of the OFD. The results confirm that attitude is the main antecedent of intention to use and recommendation, in contrast to the subjective norm relationships, where it was only confirmed by recommendation. This finding demonstrates how individuals' attitude toward intention and recommendation is more favorable than influence of third parties on decisions. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
For several years Food Delivery Business has been growing strongly both in Italy and internationally, but during the 2020 global COVID-19 epidemic, there was an even stronger increase because the benefits of online food delivery were evident, as it facilitated consumer access to prepared meals and allowed restaurant workers and suppliers to continue to operate. This research work focuses on a very particular type of food delivery, namely the one that deals only with deliveries of healthy food and superfoods. Large companies and Healthy Food Delivery (HFD) startups have different operational models and ways for service provision than traditional Restaurant Delivery systems. These are complex and non-linear mechanisms and for this reason they have proved to be interesting to analyze. The authors of this paper use a qualitative approach through multiple case studies to obtain a detailed description. A framework has been established to observe the different entrepreneurial initiatives from different perspectives.
ABSTRACT
This study examined the determinants of word of mouth, using the dual-factor theory in the context of food delivery apps (FDA) during the ongoing Covid-19 pandemic, which has created unique challenges and opportunities for the hospitality industry. We proposed and tested an integrated model by examining both enablers (i.e., trust, perceived benefit, quality control) and inhibitors (i.e., advertisement overload, perceived threat, quality issues) of FDA usage as antecedents of positive word of mouth (PWOM) and negative word of mouth (NWOM). Our results revealed that trust and perceived benefit drive PWOM, while advertisement overload and quality issues lead to NWOM. We also found some counterintuitive and unique results;for instance, perceived benefit leads to NWOM, the perceived threat does not result in NWOM, and quality control does not necessarily result in PWOM. Through these findings, we provide empirical evidence and recommend managerial interventions to help restaurant owners and FDAs navigate crises like the ongoing pandemic.
ABSTRACT
Purpose: This study aims to provide insight into consumer behavior regarding the use of food delivery apps when making purchases. To investigate the primary elements affecting users' intentions to use meal delivery applications, this study suggests an extension to the technology acceptance model through some contextual variable such as "various food choices (VFC),” "trust (TRR),” "perception of COVID-19-related risks (PCR)” and "convenience (CONV)” during the pandemic. Design/methodology/approach: A cross-sectional data of 407 was collected in the Indian context. This research adopts the covariance-based structural modeling approach to test the hypotheses along with hierarchical regression to predict the efficiency of constructs. Findings: Considering the outcomes, "perceived usefulness (PU)” was positively influenced by "perceived ease of use (PEOU),” "VFC” and "CONV.” In addition, the attitude (ATT) was positively impacted by "PU,” "TRR” and "PEOU.” Nevertheless, "PCR” negatively influenced ATT. In additional, this research illustrates the positive impact of ATT and PU on behavioral intention to use. Originality/value: By confirming the technology acceptance model's capacity for explanation in relation to food delivery apps, this study adds to the body of knowledge. The primary focus of this study is on determining the direct impact of the identified determinants on the adoption of food delivery applications within the context of a pandemic situation in developing countries. © 2023, Emerald Publishing Limited.
ABSTRACT
Introduction: Food delivery applications (FDAs) have altered the way customers order and consume food. This was compounded by the COVID-19 pandemic, which imposed restrictions on people's mobility. In this study, the authors have tried to determine which barriers affect consumers' emotions and feelings, leading to satisfaction, repeat visit, and WOM recommendations. Method: ology: The Innovation Resistance Theory has been used to conduct the study. The Mixed Model is also framed to address the barriers faced by FDA users. This study also identifies key barriers of FDA (Value Barrier, Image Barrier, and Environment Barrier) and also studies their effect on consumer emotions and feelings in addition to the impact on repeat purchase behaviour, customer satisfaction and word of mouth recommendation. The data is collected from 392 respondents. Findings: The findings demonstrate that apart from the value barrier, all the other barriers have negative and significant impacts on consumers' feelings and emotions. It further supports the mediation effect amongst consumer feelings and emotions, satisfaction, repeat purchase, and WOM recommended. The moderating effect of transaction cost has been shown with different associations. Implications: The service providers should make sure that all transactions are safe and secure and that food is delivered on time. They should also have good ways for customers to get in touch with them, so they will get orders from them. Originality: The focus of the study is on the link between satisfaction, repeat purchases, and word-of-mouth recommendations for FDA, which hasn't been looked into in any previous studies. © 2023 Elsevier Ltd
ABSTRACT
Purpose: The coronavirus disease (COVID-19) has increased food delivery service demand, which generates massive amounts of solid waste, specifically plastic material. Therefore, this study aims to examine the determinants of consumers' intention to reuse food delivery containers (ITR) using the extended theory of planned behavior (TPB). Moral obligation was included as an antecedent, while behavioral expectation (BE) ahead of behavioral intention was an immediate predictor of consumers' pro-environmental behaviors. Design/methodology/approach: The hypotheses were tested on 348 food delivery service users in Malaysia and analyzed using the partial least squares structural equation modeling (PLS-SEM). Findings: The findings indicated that consumers' ITR is directly influenced by perceived behavioral control and attitude. Perceived behavioral control and attitude had a positive partial indirect effect on ITR through BE. Meanwhile, subjective norms and moral obligation had a positive full indirect effect on ITR through BE. Research limitations/implications: The findings can be directly applied to practical situations of food delivery companies and environmental protection organizations managing solid waste among food delivery services. Practical implications: Understanding consumers' ITR could promote practical environmental sustainability. Practically, the study provides insights to the food delivery service industry, policymakers and relevant stakeholders to encourage consumer behavior change by reusing food delivery containers in line with Sustainable Development Goal 12. Originality/value: The study enhances the existing literature by extending TPB with two psychological variables: moral obligation (independent variable) and BE (mediating variable). To the best of the authors' knowledge, this study is the first attempt to empirically investigate BE in consumers' pro-environmental behavioral intention in a high-context culture and developing economy. This study could benefit food and beverage merchants, food delivery companies, governments, non-governmental organizations and pro-environmental behavior researchers in this industry. © 2023, Emerald Publishing Limited.
ABSTRACT
The COVID-19 pandemic has significantly strained online food delivery services (OFDS) globally. This has challenged OFDS businesses to redesign and deploy technologies to meet customer demand. The purpose of this article is to identify the optimal factors contributing to customer experience with OFDS services during a black swan event such as the COVID-19 pandemic. We followed a four-step research design to identify the optimal factors for OFDS. First, we identified the major episodes in the OFDS process. Second, these episodes were evaluated by customers using the sequential incidence technique. Third, we used an orthogonal design to analyze the episodes at different levels based on customer preferences. Finally, we used the Taguchi approach to calculate the signal-to-noise ratios and identify the optimal factors and their preferred levels. We classify the optimal factors into customer-oriented and service-provider-oriented propositions. The option to select the delivery person and delivery conditions was found to be the most optimal customer-oriented attribute. We discuss the theoretical and managerial implications of the study and suggest major avenues for digital transformations in OFDS for better customer experience. IEEE