Consumers' return intentions towards a restaurant with foodborne illness outbreaks: Differences across restaurant type and consumers' dining frequency

What influences restaurant dining out and diners' self-protective intention during the COVID-19 pandemic: Applying the Protection Motivation Theory

In this study, using the Protection Motivation Theory (PMT), we examine whether protection motivation can explain restaurant patron intention to practice self-protection. New normal practices are in place in the restaurant industry that influence dining out behavior during the COVID-19 pandemic. Based on 402 usable questionnaires collected face to face with residents in Phuket, Thailand, and using structural equation modeling to analyze the data, we found self-protective intention is influenced more by the perceived threat of COVID-19, but the actual behavior of visit frequency and protective behavior is influenced more by the positive PMT factors: perceived efficacy or self-confidence about protecting oneself and the expected rewards of dining out. In addition, the study highlights the important role of self-protective intention as a mediator in the relationships between PMT factors and actual behaviors of restaurant clients, especially their protection behaviors. Academic and practical implications are discussed.

A Thematic Review on Using Food Delivery Services during the Pandemic: Insights for the Post-COVID-19 Era

The food delivery service is the most typical and visible example of online-to-offline (O2O) commerce. More consumers are using food delivery services for various reasons during the COVID-19 pandemic, making this business model viral worldwide. In the post-pandemic era, offering food delivery services will become the new normal for restaurants. Although a growing number of publications have focused on consumer behavior in this issue, no review paper has addressed current research and industry trends. Thus, this paper aims to review the literature published from 2020 to the present (October 2022) on consumers' use of food delivery services during the pandemic. A thematic review was conducted, with 40 articles searched from Scopus and Web of Science being included. Quantitative findings showed current research trends, and thematic analyses formed eight themes of factors influencing consumer behavior: (1) technical and utilitarian factors, (2) system-related attributes, (3) emotional and hedonic factors, (4) individual characteristics, (5) service quality, (6) risk-related factors, (7) social factors, and (8) food-related attributes. The paper also emphasizes COVID-19-related influences and suggests promising future research directions. The results offer insights into industry practices and starting points for future research.

Leveraging data analytics to understand the relationship between restaurants' safety violations and COVID-19 transmission

This paper leverages natural language processing, spatial analysis, and statistical analysis to examine the relationship between restaurants' safety violations and COVID-19 cases. We used location-based consumers' complaints data during the early stage of business reopening in Florida, USA. First, statistical analysis was conducted to examine the correlation between restaurants' safety violations and COVID-19 transmission. Second, a neural network-based deep learning model was developed to perform topic modeling based on consumers' complaints. Third, spatial modeling of the complaints' geographic distributions was performed to identify the hotspots of consumers' complaints and COVID-19 cases. The results reveal a positive relationship between consumers' complaints about restaurants' safety violations and COVID-19 cases. In particular, consumers' complaints about personal protection measures had the highest correlation with COVID-19 cases, followed by environmental safety measures. Our analytical methods and findings shed light on customers' behavioral shifts and hospitality businesses' adaptive practices during a pandemic.

Consumers' dining behaviors during the COVID-19 pandemic: An Application of the Protection Motivation Theory and the Safety Signal Framework

With the long-lasting impacts of the COVID-19 pandemic, it is critically important that restaurateurs understand predictors of consumers' dining behaviors to better foster strategies to recover their revenue during the re-opening stage. Based on the Safety Signal Framework and the Protection Motivation Theory, this study developed and tested a model investigating the combined effects of restaurateurs' measures and consumers' protective motivations on their dine-out frequencies and dine-in likelihoods. Consistent with propositions of the Protection Motivation Theory, the results confirmed that both the threat and coping appraisals influenced consumers’ dining behaviors. The coping appraisal process is affected by “access to servicescape,” “servicescape,” and “communication.” Additionally, the results of the gap analysis revealed four safety signaling strategies perceived as effective by consumers but with a low implementation rate in the restaurant industry. Theoretical and practical implications were provided to restaurateurs.

COVID-19 contamination through food: A study with Brazilian consumers of different socioeconomic and demographic characteristics

This study aimed to investigate through free word association the perception of Brazilian consumers regarding the possibility of infection with the SARS-CoV-2 virus through food. One thousand individuals answered the questionnaire via an online platform. Most cited terms (hygiene-8%, fear-8%, caution-5%) and categories (negative attitudes and feeling-72% and sanitization-60%) were related to overall COVID-19 infection rather than their specific infection through the food. The perception of the possibility of risk of this type of cross-contamination was greater for male participants, within the food field, with high income (>10 minimum wages), and from the midwest region. Nonetheless, there are still doubts regarding this possibility, especially for participants with low income (≤10 minimum wages), females, higher education (≥secondary school), who exercise professional activity outside the food sector and from most regions of Brazil.

Practical applications

Although the SARS-CoV-2 virus was discovered 2 years ago, the emergence of new variants such as Omicron has increased infection and mortality rates worldwide. A possible way of COVID-19 infection is cross-contamination through food handling and contact surfaces if preventive measures are not applied. In this context, understanding the consumer perception from a continental-size country such as Brazil, with a wide variety of socioeconomic profiles, is crucial to minimize the severe impacts of the pandemic. Our study demonstrates the need to disseminate scientific information in different media to reduce misinformation, especially social media because most Brazilian consumers had doubts and uncertainties about the possibility of COVID-19 infection from cross-contamination through food.

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

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.

Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test

Determining the level of customer satisfaction in cleanliness regarding a product or service is a significant aspect of businesses. However, the availability of feedback tools for consumers to evaluate the cleanliness of a restaurant is a crucial issue as several aspects of cleanliness need to be evaluated collectively. To overcome this issue, this study designed a survey instrument based on the standard form used for grading the food premises and transformed it into a seven Likert scale questionnaire and consists of seven questions. This study employed fuzzy conjoint analysis to measure the level of satisfaction in cleanliness in food premises. This pilot study recruited 30 students in Universiti Teknologi MARA (UiTM) Seremban 3. The student's perception was represented by the scores calculated based on their degree of similarities and corresponding levels of satisfaction, whereby, only scores with the highest degree of similarity were selected. Furthermore, this study identified the aspects of hygiene that assessed based on the customers' satisfaction upon visiting the premises. The results indicated that the fuzzy conjoint analysis produced a similar outcome as the statistical mean, thus, was useful for the evaluation of customer satisfaction on the cleanliness of food premises.

Antecedents of Purchase Intention at Starbucks in the Context of Covid-19 Pandemic

The purpose of this research is to examine the determinants of coffee shop purchase intention. The research domain is Starbucks, which is the brand ranked first in the coffee shop market. This study selects healthiness, hygiene, quarantine, ease of app use, and environmental responsibility as candidates for the antecedents of purchase intention. For hypothesis testing, this research used a survey and recruited survey participants using Amazon Mechanical Turk, and carried out multiple linear regressions to test research hypotheses. The number of valid observations for the data analysis is 474. It was found that purchase intention is positively influenced by healthiness, hygiene, quarantine, and ease of app use. However, environmental responsibility was identified as a nonsignificant attribute to account for purchase intention. Practical implications are presented for coffee shop management. The outcomes contribute to the literature by scrutinizing café customers’ purchase intention with various attributes.