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.

This research examined the determinants of e-satisfaction, continuance intention, and e-loyalty regarding the use of mobile payment applications (MPAs). It

Purpose: This study was designed to specifically explore confirmation and perceived usefulness associated with mobile food ordering apps (MFOAs) in consideration of their impacts upon attitudes, satisfaction and intention to continuously use.Design/methodology/approach: The research utilized the convenience sampling to gather data from 250 respondents having prior experience with MFOAs during COVID-19 pandemic period in Bangladesh. The Structural Equation Modeling technique was applied to analyze the data using SmartPLS 3 software.Findings: This study's results showed that customers' perceived confirmation and usefulness were significant in determining their dinning attitudes. Besides, customers' dining attitudes were positively related to e-satisfaction. Finally, the customers’ continuance intention to use MFOAs was significantly influenced by their e-satisfaction.Research limitations/implications: Restaurants managers should focus on online sales through MFOAs during the pandemic period since social distancing is a key strategy to manage COVID-19. Customers should be assured that the safety measures are undertaken while delivering the food.Originality/value: This study incorporated the expectation-confirmation theory and technology acceptance model and tested it in the context of MFOAs.

Consumer behavior in the food industry has undergone significant changes in recent years, largely driven by growing consumer awareness of environmental, technological, religious, and social concerns. As a result, organic food has emerged as a popular alternative to conventionally produced food. Many emerging nations, including Bangladesh, promote its consumption due to its perceived health and safety benefits. Despite this growing trend, there remains a need for more understanding of consumer behavior, particularly concerning their motivations for continuous purchases toward mobile organic food delivery applications. In order to fill this knowledge gap, this study looks at how six indirect predictors (emotional support, informational support, environmental consciousness, religious consciousness, trust, and technological consciousness) affect customer loyalty through the intention to use organic food. This study employed a purposive sampling technique (i.e., judgmental sampling) and collected data from 386 respondents across three cities in Bangladesh. Data analysis was conducted using SmartPLS 3 software. The study found that all predictors, except for technological consciousness, significantly influenced behavioral intention, which, in turn, significantly influenced loyalty. Additionally, the study revealed that the five predictors, excluding technological consciousness, indirectly influenced loyalty through behavioral intention. The results of this study add to the existing literature on organic food by extending social support theory to include consumers' primary motivations, such as environmental, religious, technological, and social consciousness, as predictors of loyalty to use mobile organic food delivery applications. The study highlights the importance of sustainable food consumption in promoting environmental protection, ensuring social justice, creating economic success, and providing valuable insights for implementers looking to expand the organic food market. Graphical abstract

The study aims to explore the predictors of customers’ online shopping attitudes and their influence on customers’ e-satisfaction, behavioral intention, and continuance intention to use online shopping applications during coronavirus outbreaks. A unique integrated model was validated by incorporating the expectation-confirmation model, Health Belief Model, and technology acceptance model, along with psychological (i.e., perceived threats), situational (e.g., physical distance), and the interactive technological feedback-related variables (i.e., online review). The data were collected from 410 respondents and analyzed by Structural Equation Modeling using SMART PLS3. The results depicted that attitude is predicted by usefulness and ease of use, while the behavioral intention was predicted by online review, physical distance, perceived threats, ease of use, usefulness, and attitudes. Moreover, the customers’ expectation’s confirmation influences e-satisfaction and usefulness. Similarly, the ease of use, usefulness and attitudes, e-satisfaction, and intention predicted continuance intention. Besides, behavioral intention mediated the influence of online review, ease of use, usefulness, threats, and physical distance except attitudes on continuance intention. Finally, usefulness and e-satisfaction mediate the influence of confirmation on continuance intention. The study contributes to the existing literature integrating psychological, situational, and interactive technological feedback-related variables into expectation confirmation theory, Health Belief Model, and technology acceptance model.

The study aims at determining the predictors of mobile grocery shopping applications (MGSAs) acceptance and their impact on behavioral intention to use MGSA during COVID-19 outbreaks. Based on the technology acceptance model and theory of planned behavior, we analyzed the influence of social distancing, fear of COVID-19, subjective norms, shopping attitudes, ease of use, usefulness on behavioral intention to use MGSAs. Data were collected from 565 users and analyzed with structured equation modeling (SEM) using SMART PLS 3 software. Findings depicted that shopping attitudes were predicted by subjective norms, ease of use, and usefulness. In contrast, behavioral intention is predicted by subjective norms, attitudes, ease of use, usefulness, fear of COVID-19, and social distancing. The study contributes to the extant literature incorporating fear of COVID-19 and social distancing as psychological and situational variables into the technology acceptance model and theory of planned behavior, which may guide the marketing practitioners to promote online sales in an unprecedented situation.