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This paper aims to systematically explore the experiences of restaurant patrons with quick response (QR) code menus during the pandemic to extract insights pertaining to the acceptance of technology adoption in service settings for the post-COVID era.

COVID-19 has enormously impacted consumer perceptions toward technology adoption in restaurants. Identifying these impacts requires qualitative inquiries because qualitative techniques, unlike quantitative methods, enable researchers to seek insights into the phenomenon without a predetermined stance. This study applied a qualitative research method. The qualitative data was obtained through in-depth interviews and a focus group. Thematic analysis was conducted.

This study identified perceived attributes of QR code technology by patrons: positive attributes such as easy to learn, quick and contactless; and negative attributes such as effortful and reliance on a smartphone. Also, the results distinguished perceived advantages of utilization of QR codes as restaurants’ menu: advantages such as hygienic, environmentally friendly due to no printing and contactless; and disadvantages such as poor menu design and lack of interaction.

This research presents patrons’ views on QR code menu utilization at restaurants under the pandemic conditions. Contradictory responses on the same features of technology reveal a lack of menu design in the utilization of QR codes. Restaurant practitioners can extract insights about how to better use technology like QR codes, cost-effective and environmentally friendly, in their operations in the postpandemic era.

This study included both deductive and inductive approaches. An inductive approach that progressed from theory to data was applied while forming interview questions. A deductive approach was used to inform theory with the findings of the data. The value of research derives from differentiating technology attributes (QR codes) and utilization domain (restaurant menu) in the realm of acceptance of technology in the consumer context.

This study aims to investigate how different menu types trigger diners’ behavioral intentions in restaurants’ innovation diffusion from paper to digital menus.

Four menu types, namely, paper menus with text only, paper menus with text and images, digital menus that show text and images or text and video with self-service technological functionality, are designed to empirically examine a mental process through which perceived information quality, perceived food quality and perceived service quality influence diners’ behavioral intentions.

Based on the online survey data from 502 diners, results show that the menu design influences customers’ perceptions. The video-based digital menu is the most effective to generate diners’ behavioral intentions, followed by a paper menu with text and images.

This study contributes to the innovation diffusion theory and stimulus-organism-responses theory to encourage the joint use of auditory and visual channels for digital menu design in restaurants.

The authors confirm the digital transformation in menu design in restaurants. Restaurant diners are also prepared and comfortable with digital menus, especially in the postpandemic world.

本研究目的在于调查在餐厅从纸质菜单到数字菜单的创新扩散过程中, 不同菜单类型如何影响餐厅客人的行为意向。

通过设计并使用四种菜单类型, 分别为只有文本的纸质菜单、具有文本和图片的纸质菜单、显示文本和图片或文本和视频的数字菜单以及具有自助技术功能的数字菜单, 本研究以实证方法考察了感知信息质量、感知食品质量和感知服务质量如何影响餐厅客人的行为意向的心理过程。

根据对502名餐厅客人的在线调查数据显示, 菜单设计影响了客人的感知。基于视频的数字菜单是影响餐厅客人行为意向最有效的菜单类型, 其次是文本和图片的纸质菜单。

本研究表明应鼓励在餐厅数字菜单设计中同时使用听觉和视觉元素。因此, 为研究促进了创新扩散理论和刺激-有机体-反应理论的发展。

我们证实了数字菜单在餐厅菜单设计中的转型。餐厅客人, 尤其是在在后疫情时代, 已经准备好并愿意接受使用数字菜单。

The aim of this paper is to determine the relative efficacy of an e-tablet menu over the traditional paper-based menu across the parameters of order information quality, menu usability, and ordering satisfaction using customer perceptions.

Two types of data were collected: customer perceptions using an instrument comprising academically underpinned constructs and observational data that involved ordering times, logs of any customization requests, and notes gathered from interactions with restaurant staff.

Findings indicate that e-tablet menus are significantly superior to the traditional paper-based menu across all parameters. Restaurateurs should be cognizant of customization options to significantly enhance order information quality, improve customer service and boost sales.

The findings support the idea that the use of technology does help to enhance the service experience, specifically the ordering experience for the customer.

Electronic tablets have the ability to transfer greater levels of information in an interactive manner thereby enhancing the role of the menu in the merchandising of a restaurant's offerings.

Although there is evidence of the importance of restaurant menus to the success of restaurants, little is known about the influence of the use of electronic menus on the ordering experience. This study provides findings that focus on the usability of menus and their impact on the ordering experience.

The purpose of this study is to explain the impact of innovation characteristics (relative advantage, compatibility, complexity and perceived risk) and individual differences (inertia, technology anxiety, need for interaction and previous experience) on customer intentions to adopt tablet-based menus in various restaurants settings.

An experimental design was used in this study to explore tablet-based menu acceptance intentions across three restaurant settings: quick-service, midscale and upscale. A total of 415 participants were randomly assigned to one of the three scenarios describing a dining experience. Each scenario placed participants in a restaurant setting where a tablet-based menu was a part of the guests’ dining experience.

The study results indicated that out of the four innovation characteristics, compatibility and relative advantage are strong predictors of adoption intention of tablet-based menus. Among customer individual differences, technology anxiety and need for interaction were not found to have a statistically significant impact on intentions to adopt tablet-based menus. It was also found that customers dining at quick-service and midscale restaurants are more likely to adopt tablet-based menus than customers dining at upscale restaurants.

Managers in quick-service and midscale restaurants may consider investing in tablet-based menus, as customers of these restaurant types demonstrate higher adoption intentions compared to the customers of upscale dining establishments. The results of this study suggest that upscale restaurants should plan carefully before switching to table-based menus.

The findings of this study may assist restaurant managers in recognizing the importance of customer acceptance of new technologies such as tablet-based menus, which will lead to informed decisions about implementing tablet-based menus in their establishments.

This research examines the influence of consumer environmental consciousness and perception of menu information in the formation of restaurant image. The concepts of mindfulness and mindful consumption were used as the theoretical background for the study.

Using a quasi-experimental setting, data were collected from restaurant consumers dining at an upscale casual restaurant in the southeastern United States over a four-week time. Structural equation modeling, multi-group analysis and mediation analysis were used to test the hypothesized relationships between research constructs.

Results suggested that consumer environmental consciousness does not have a direct effect on the formation of restaurant image. However, consumer environmental consciousness influenced consumers' perception of menu information, and the perception of menu information consequently influences the restaurant image.

Foodservice industry increasingly interested in sustainability practices. Consumers want to know the connections between food and its impact on their health and the environment. Findings reveal that environmentally conscious consumers actively sought out menu information, and that once the information they were seeking was perceived, it significantly strengthened the perception of restaurant image.

To the best of our knowledge, this is the first research that investigated the environmental consciousness construct in a live restaurant context.

This study sought to understand which food allergen labeling systems (non-directive, semi-directive, and directive) were attended to and preferred by 34 participants with food hypersensitivity and their perceived corporate social responsibility (CSR) and behavioral intention towards a restaurant that identifies food allergens on menus.

This study used an online survey with open-ended and ranking questions, combined with eye-tracking technology, to explore participants' visual attention and design preferences regarding four menus. This study utilized one-way repeated measures analysis of variance (RM-ANOVA) and heat maps to analyze participants' menu-reading behaviors. A content analysis of survey responses and a ranking analysis of menus were conducted to understand the reasons behind consumers' preferred menu designs.

The advisory statement was not much attended to. Participants identified food allergen information significantly quicker with the directive labeling system (icons) than the other two systems, implying they were eye-catching. Semi-directive labeling system (red text) has lower visit count and was more preferred than two other systems; each labeling system has its strengths and limitations. Participants viewed restaurants that disclosed food allergen information on menus as socially responsible, and they would revisit those restaurants in the future.

This study was one of the first to explore, through use of eye-tracking technology, which food allergen labeling systems were attended to by consumers with food hypersensitivity. The use of triangulation methods strengthened the credibility of the results. The study provided empirical data to restauranteurs in the US on the values of food allergen identification on restaurant menus, although it is voluntary.

Previous research has concluded that there is consumer desire for nutrition information to be provided on restaurant menu items and restaurant customers presented with this information will make healthier menu choices (Mills & Thomas, 2008). Limited research has been performed in a restaurant setting measuring real rather than intended behavior. The purpose of this research experiment is to measure consumer response, in a full-service restaurant setting, to nutrition information on menu items and subsequently determine if consumers will use this information in their menu item choice. An experiment was conducted with 264 restaurant customers at a full-service a la carte restaurant. Customers chose from menu items labeled with or without a Healthy Choice® label. A logistic regression model was used to predict whether people would choose Healthy Choice menu items. Fifty-four percent of restaurant customers chose the healthy choice menu item. The logistic regression confirms that those people who desire nutrition information also use this information in their menu choice. The study concludes with recommendations for the industry on directing consumer menu choice toward healthier items.

The purpose of this study is to explore the dimensions of restaurant customers’ engagement or disengagement with healthy eating in terms of individual and environmental factors to develop a scale. The results identified the underlying constructs of customers’ individual motives for and perceived barriers to healthy eating, as well as environmental elements of restaurants that encourage or discourage healthy eating.

To develop an appropriate set of measures to assess factors influencing customers’ healthy eating behaviors at restaurants, the current study undertook the five steps of scale development suggested by Churchill (1979): specifying the domain of constructs, generating a pool of initial measurement items, assessing content adequacy, administering questionnaires (an online survey method) and purifying and finalizing the measurement (via exploratory factor analysis (EFA) using 410 samples and confirmatory factor analysis (CFA) using 423 samples).

The results revealed ten individual factors (health, body image, weight control, feeling better, unappealing food, cost perception, lack of knowledge, state of mind (stress), lack of self-control and negative influences) and five environmental factors (healthy indications, social impact, availability of healthy menu, price policy and unhealthy indications) influencing customers’ healthy eating behaviors at restaurants.

This study developed an appropriate set of measures to assess individual and environmental factors influencing restaurant customers’ healthy eating behaviors, along with identifying underlying sub-constructs. The reliability and validity of the scale and the factor structure are presented and potential applications and theoretical contributions of the scale are provided as well.

This paper aims to examine whether using menu engineering (ME) together with activity-based costing (ABC) for menu analysis provides new insights into true menu profitability. The traditional ME approach only uses food costs to determine the contribution margin (CM) of individual menu items. This combined approach uses both food and traceable operating costs to estimate CMs more accurately.

An improved ME model was developed and tested in an oriental restaurant in Brazil. Direct observation of restaurant activities allowed most costs to be traced (not simply allocated) to individual menu items.

The results revealed small differences in the rankings between the traditional approach and ABC/ME, demonstrating that the integration of ABC with ME made it to possible to identify increased food-costs and lower CMs for all groups of menu items. The results also show that ABC methods are applicable to an oriental-style restaurant.

Just one restaurant and only 80 per cent of the menu were examined in this study. Future research should apply the model used here to other restaurant types located in different geographical areas to validate the approach.

The results suggest that ME can be improved upon by first assessing variable costs using ABC methods.

This paper combines two different analytic techniques (ME and ABC) into a new approach that reveals the true picture of profit and loss for a menu from a restaurant in Brazil.

The purpose of this study is threefold: to use an innovative metafrontier‐to‐data‐envelopment analysis (MDEA) model incorporating multiple outputs and inputs – including the item revenue, gross profit, food costs, time‐driven labor costs, and other operating expenses (OOEs) – to distinguish four quadrants based on efficiency and profit to offer different strategies to the restaurateur under study; to compare the proficiency levels of the different meal categories of the à la carte and combo set menus using the metatechnology ratio (MTR) via the MDEA; and to use slack‐based analyses with simulation to improve the financial performance of a teppanyaki‐style restaurant.

Six months of point of sale (POS) data are obtained from a teppanyaki‐style restaurant. The proposed inputs are categorized into total food costs, total labor cost, the number of processes, and OOEs. Two outputs (total revenue and gross profit) are used to assess the efficiency of the menu items. The MTR is used to differentiate the proficiency level of the heterogeneous meal categories and to create four quadrants based on the efficiency index and financial performance.

The MTR is lower for the combo set category than for the à la carte category. Four quadrants are obtained based on the efficiency and financial performance to provide further menu suggestions. The MDEA analysis yields menu suggestions that could enhance the overall efficiency and profitability of the menu items. A simulation using these two models is conducted and shows that the restaurant profitability would be 22 percent greater using the MDEA than using the menu engineering model.

Because there are no publicly listed teppanyaki‐style restaurants in Taiwan and it is difficult to find the same menu in different restaurants, this study consists of only a single restaurant, and the results may not be generalizable to other types of restaurants.

This paper contributes to menu analysis by establishing an efficiency index and using financial performance as criteria for determining which menu items to improve in a teppanyaki‐style restaurant. The MTR of the metafrontier model can differentiate the proficiency level of the heterogeneous categories, such as à la carte and combo set menus. This paper offers empirical results pertaining to the classification of menu items and describes a slack‐based analysis for improving menu items.