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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。

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.

This study aims to examine the factors influencing consumers’ intentions to use QR code menus in the post-COVID-19 pandemic using the unified theory of acceptance and use of technology and rational choice theory as the theoretical foundations.

Using a survey method, 200 data are collected from consumers who had used QR code menus in the past. Partial least squares structural equation modelling is used to analyse the data.

Our findings show that performance expectancy, effort expectancy, social influence, habit and perceived privacy protection have a significant positive influence on intentions. However, facilitating conditions, hedonic motivation and perceived privacy risk do not have a significant influence on intentions.

This study further extends the work of previous studies by using the unified theory of acceptance and use of technology model, with additional two new predictors, namely perceived privacy protection and perceived privacy risk, to understand consumers’ intentions to use QR code menus.

As the restaurant industry is a representative service industry, long-living restaurants could carry the secrets of key factors that are needed to establish “sustainable business models” in service industry. The authors aim to answer the following question: How can restaurants innovate business model sustainably to last for more than 50 years through the era of digital transformation with open innovation dynamics?

Five long-lived restaurants from Daegu, Kyoto and Naples were selected separately by using the snowballing approach, and were analyzed through in-depth interviews and participatory observations.

Restaurants in Daegu have lived long mainly because of adding value to their recipes. Restaurants in Kyoto have lived very long, primarily by decoupling their original services, ingredients and recipes. Restaurants in Naples have enjoyed long lives by coupling or recoupling their ingredients, services and recipes.

The implication is that long-living restaurants or service firms could maintain their own sustainability by dynamically circling the following services: (1) adding and boning recipes (focusing on special menus or products), (2) coupling of ingredients (creative recoupling of original ingredients) and (3) decoupling of services (disconnecting the value chain and rebalancing it).

This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to enhance transparency and trust in tracking food sources, ultimately impacting customer satisfaction.

A service design workshop (Study 1) and three between-subjects experiments (Studies 2–4) were conducted.

Results indicate that blockchain adoption significantly improves traceability and trust in the food supply chain. This improvement in turn enhances customer satisfaction through perceived improvements in food safety, quality and naturalness. This study also notes that the effects of blockchain technology vary depending on the type of restaurant (casual or fine dining) and its location (tourist destinations or residential areas).

The findings offer practical insights for restaurant owners, technology developers and policymakers. Emphasizing the benefits of blockchain adoption, this study guides decision-making regarding technology investments for enhancing customer service and satisfaction in the hospitality sector.

This research contributes novel insights to the field of technology innovation in the hospitality industry. It extends the understanding of signaling theory by exploring how blockchain technology can serve as a tool for signal transmission in restaurant food supply chains.

This paper aims to analyze the relationship between sustainability practices and the degree of innovation in the service provided by restaurants. The study identifies relevant restaurant segments in relation to sustainable practice-based service innovation so that effective actions to raise awareness and train managers and staff may be developed. Segmentation has been identified as a key tool when designing strategies and proposing actions. Yet, the use of segmentation techniques is still scarce regarding service innovation and sustainability in restaurants.

A segmentation analysis was carried out applying the CHAID algorithm from 300 valid questionnaires completed by restaurant owners or managers from coastal Ecuador, where tourism and gastronomy may be drivers of service innovation.

A typology of restaurants based on the sustainability-service innovation interrelation suggests three final segments: sustainable innovators focused on the value chain, moderate innovators focused on saving resources and restaurants with a low innovative profile.

The three segments derived from the analysis present differences in terms of the degree of implementation of sustainability practices, as well as in terms of the demographic profile of the restaurant manager. These segments are measurable, substantial, accessible and actionable, so that tailored initiatives to raise awareness and boost sustainability-oriented innovativeness among restaurant owners/managers may be targeted to each group of establishments.

The present research provides evidence of the positive relationship between sustainability practices and service innovation in foodservices. The segments of restaurants identified enable the design and implementation of actions that facilitate the transition of less sustainability-oriented restaurants towards more innovative and sustainable business models.

This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments based on their perceived importance of seven food quality attributes (taste, texture, aroma, appearance and the use of natural, local and organic ingredients) relative to portion size and (3) compared the identified market segments.

An online survey assessed 613 USA adult participants' perceived importance of seven food quality attributes relative to portion size. A K-means cluster analysis classified participants into different segments based on their perceptions.

Five restaurant consumer segments were identified: sensory-oriented consumers, taste-oriented organic food consumers, local and natural food consumers, quantity-oriented consumers and quality-oriented consumers. In general, quality-oriented consumers were the least likely to visit fast-food restaurants, had the highest average per-meal spending and were the least likely to eat out alone. Local and natural food consumers and taste-oriented organic food consumers had higher total restaurant spending than other groups. Quantity-oriented and sensory-oriented consumers visited fast-food restaurants more often and had lower total restaurant spending and per-meal spending than other groups. Age, sex and income were significantly associated with the segmentation outcomes.

Findings suggest promising opportunities for restaurants to enhance consumer perceptions of value by prioritizing the factors that hold the greatest significance to their target customers.

This study is the first attempt to segment restaurant consumers based on their perceived importance of food quality attributes relative to portion size, effectively identifying five distinct consumer segments.

Although there is a rising demand for organic food restaurants (OFRs), limited studies have attempted at understanding the drivers of customers' intention to visit OFRs. There is also a need to examine customers' choice behaviour in the context of OFRs.

This study has assessed the effect of consumption values (functional, emotional, epistemic, conditional, quality and social) on the intention to visit OFRs by utilizing 1863 online customer reviews about different Indian OFRs (Study 1) and 205 survey-based responses of Indian customers (Study 2).

Findings show an overall positive sentiment towards OFRs. Results of Study 1 and Study 2 reveal that functional, quality, social and emotional values have a significant impact on customers' OFR visit intention. Interestingly, Study 2 found that epistemic values have an insignificant impact on customers' visit intention.

Study findings suggest that the OFR management need to provide a better ambience, and good quality organic food in OFRs. Additionally, managers of OFRs can train their staff to be well mannered, cooperative and sincere.

The study on OFRs is still in its nascent stage. The findings of this study will thus provide academicians and policy makers an idea of the consumption values that affect customers' intention to visit OFRs.

This study aims to develop a practical and effective approach for market segmentation using customer experience dimensions derived from online reviews.

The research investigates over 6,500 customer evaluations of food establishments on Taiwan’s Yelp platform through the Latent Dirichlet allocation (LDA) data mining approach. By using the LDA-derived experience dimensions, cluster analysis discloses market segments. Subsequently, sentiment analysis is used to scrutinize the emotional scores of each segment.

Mining online review data helps discern divergent and new customer experience dimensions and sheds light on the divergent preferences among identified customer segments concerning these dimensions. Moreover, the polarity of sentiments expressed by consumers varies across such segments.

Analyzing customer attributes extracted from online reviews for segmentation can enhance comprehension of customers’ needs. Further, using sentiment analysis and attributes of online reviews result in rich profiling of the identified segments, revealing gaps and opportunities for marketers.

This research presents a new approach to segmentation, which surmounts the restrictions of segmentation methods dependent on survey-based information. It contributes to the field and provides a valuable means for conducting customer-focused market segmentation. Furthermore, the suggested methodology is transferable across different sectors and not reliant on particular data sources, creating possibilities in diverse scenarios.

Hospitality businesses are changing digitally to meet customer demands, provide value and stay competitive. Prior hospitality studies examined customers’ technology acceptance rather than digital technology readiness and acceptance. In addition, no studies have explored how restaurant customers’ digital transformation influences hedonic and utilitarian values and customer well-being. Therefore, this study aims to examine how fast-food restaurant customers’ digital transformation (i.e. technical readiness and acceptance) influences their perceived value and well-being.

This study provides a conceptual framework with six constructs. The data for this study were collected from fast-food restaurant customers in Egypt using a self-administered questionnaire.

According to the findings, customers’ technical readiness for digital transformation in fast-food restaurants substantially impacts their technology acceptance. In addition, customers’ perceived hedonic and utilitarian values are greatly influenced by their acceptance of fast-food restaurant digital technologies, and these perceived values significantly impact customer well-being.

This study presents several suggestions to improve customers’ readiness for digital transformation in fast-food restaurants and the impact on their technology acceptance and perceived value and well-being. Also, this study’s results could impact fast-food restaurants’ decisions to adopt new digital technologies (e.g. service robots) for their customers.

The study adds to the existing literature review by attempting to present a comprehensive picture of fast-food restaurant customers’ digital transformation (i.e. technical readiness and acceptance) and its impact on customers’ perceived values. A potential antecedent of fast-food restaurant customers’ well-being was also investigated: perceived hedonic and utilitarian values.

酒店业正在数字化转型, 以满足顾客需求、提供价值并保持竞争力。之前的酒店业研究主要关注顾客对技术的接受程度, 而不是数字技术准备和接受程度。此外, 没有研究探讨餐厅顾客的数字化转型如何影响享乐和功利价值以及顾客的幸福感。因此, 本研究旨在探讨快餐餐厅顾客的数字化转型（技术准备和接受程度）如何影响他们的感知价值和幸福感。

本研究提供了一个概念框架, 包括六个构面。本研究的数据通过自行填写问卷的方式从埃及的快餐餐厅顾客中收集。

根据研究结果, 快餐餐厅顾客的数字化转型技术准备程度显著影响其对数字技术的接受程度。此外, 快餐餐厅顾客对数字技术的接受程度极大地影响他们对享乐和功利价值的感知, 并且这些感知价值对顾客的幸福感产生显著影响。

本研究试图呈现出一个全面的快餐餐厅顾客的数字化转型（技术准备和接受程度）对顾客感知价值的影响机制。同时, 本研究还调查了快餐餐厅顾客幸福感的潜在前因：感知的享乐和功利价值。

本研究提出了一些建议, 以提高快餐餐厅顾客对数字化转型的准备程度, 并对他们的技术接受程度、感知价值和幸福感产生影响。此外, 本研究的结果会影响快餐餐厅采用新的数字技术（例如服务机器人）来为顾客提供服务的决策。