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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。

The COVID-19 pandemic impacted the food and beverage sector very severely. The complete breakdown of the supply chain and lack of customers was particularly challenging for start-ups in the industry. Those that survived were the ones who made a timely and smooth transition in business models to become more technology driven. However, the issues faced and the ground realities of the extent of struggle that these start-ups went through are less understood in the scholarly literature, with most accounts being anecdotal. The purpose of this paper is to address these issues.

The present study attempts to bridge this gap by conducting a qualitative study to collect data from 35 owners/employees of food and beverage start-ups and using the grounded theory approach to code it and identify key themes.

Content analysis of the 35 responses revealed three main themes: the impact of the COVID-19 pandemic on operations of food and beverage start-ups, challenges due to the onset of the COVID-19 pandemic and combating the pandemic, divided into seven subthemes: differences in operations pre- and post-COVID, key changes experienced in operations post-COVID, problems arising in operations due to the pandemic, problems in the use of digital marketing due to the pandemic, problems in the use of technological platforms due to the pandemic, using innovative approaches and technological innovations and using disruptive technologies.

The study contributes novel insights by investigating the changes experienced by food and beverage start-ups due to the pandemic, the innovations introduced by them and the perception about the role of disruptive technologies in their postpandemic operations of food and beverage start-ups.

The purpose of this paper is to test the effect that anthropomorphic framing (i.e. robot vs automatic machine) has on consumers’ responses in case of service failure. Specifically, the authors hypothesize that consumers hold an unconscious association between the word “robot” and agency and that the higher agency attributed to self-service machines framed as robots (vs automatic machines) leads, in turn, to a more positive service evaluation in case of service failure.

The authors have conducted four experimental studies to test the framework presented in this paper. In Studies 1a and 1b, the authors used an Implicit Association Test to test for the unconscious association held by consumers about robots as being intelligent machines (i.e. agency). In Studies 2 and 3, the authors tested the effect that framing technology as robots (vs automatic machines) has on consumers’ responses to service failure using two online experiments across different consumption contexts (hotel, restaurant) and using different dependent variables (service evaluation, satisfaction and word-of-mouth).

The authors show that consumers evaluate more positively a service failure involving a self-service technology framed as a robot rather than one framed as an automatic machine. They provide evidence that this effect is driven by higher perceptions of agency and that the association between technology and agency held by consumers is an unconscious one.

This paper investigates a novel driver of consumers’ perception of agency of technology, namely, how the technology is framed. Moreover, this study sheds light on consumers’ responses to technology’s service failure.

Memorable customer experience (MCE) is a key factor affecting customer loyalty and revisit intention. Hospitality managers must identify factors that create MCEs. This study aims to investigate relationships among perceived coolness, customer engagement and MCE and examine the mediation effect of customer engagement.

Two samples of 434 restaurant customers and 372 hotel customers in Taiwan returned questionnaires. Hypotheses were examined by structural equation modeling.

The results demonstrated that perceived coolness positively affected customer engagement and MCE and that customer engagement positively affected MCE. Furthermore, customer engagement mediated the relationship between perceived coolness and MCE.

This study is cross-sectional, which limits causal inference. Furthermore, this study only investigated customers of Taiwanese restaurants and hotels, and the findings may not be generalizable to other industries and countries.

This study contributes to the MCE knowledge in hospitality by elucidating the association among perceived coolness, customer engagement and MCE. The findings can aid hospitality managers in developing marketing strategies, fostering customer engagement and creating MCEs.

Despite the growing number of cashierless stores, few studies have examined the factors that influence the success of such stores. This paper aims to identify the influence of store attributes in customers’ affective attitudes regarding cashierless stores and to understand how customers’ need for interaction and risk reduction affect the relationship between customer experiences and evaluation.

Quantitative research is conducted using a partial least squares structural equation model. Data was collected from 174 customers with cashierless store experience.

The results identify the influence of hedonic and utilitarian characteristics on affective attitudes and the impact of attitudes on behavioral intentions. Also, multigroup analysis reveals that hedonic features are stronger indicators of customer attitudes among those with a low need for interaction, whereas utilitarian attributes are more important among customers with a low need for risk reduction. Customers’ affective attitudes are stronger influences on behavioral intentions among members of customer groups with a low need for both interaction and risk reduction.

To add to the limited research in customers’ experience with unstaffed stores, this study provides useful insights to achieve sustainable growth in the retailing context. Managerial considerations suggest that operators of cashierless stores should design store environments to guarantee customers’ purchasing and recommendation intentions.

This article explores the emergence of organizational digital transformation in the rapidly advancing technological era. It discusses the origins, driving forces, strategies, challenges and broader implications.

The article employs a scoping review methodology that synthesizes knowledge from the existing literature, research, case studies and other relevant sources.

The findings underscore the pivotal role that organizational digital transformation plays in an era of relentless technological advancement. Leadership, organizational culture and technological enablers are identified as crucial drivers of innovation and competitiveness within organizations. The article also emphasizes ethics as a crucial element of digital transformation, focusing in particular on concerns about data privacy and the morality of artificial intelligence. Additionally, the author talks about anticipated future trends that are anticipated to influence the future of digital transformation, such as the growing influence of artificial intelligence, the trend toward hyper-personalization and the emergence of quantum computing.

The assessment has failed to provide recommendations for the actual implementation because it has mainly concentrated on conceptual and strategic aspects. Furthermore, it does not clearly define the criteria for choosing real-world examples, which limits the representation of the different industries, size ranges of organizations and outcomes associated with digital transformation.

The article stresses the significance of paying attention to the forces driving digital transformation while navigating ethical and societal concerns. In addition to highlighting the importance of anticipating future trends for strategic planning in the rapidly changing digital landscape, it emphasizes the advantages as incentives for organizations to invest in digital initiatives.

The investigation demonstrates how technology contributes to progress while posing complex ethical and change management issues. In light of increased connectivity, data analytics and artificial intelligence, it highlights the crucial need for societal adaptability and highlights the crucial role that cooperative human–machine coexistence plays in responsible development and transformative societal evolution.

The article stands out because it examines organizational digital transformation in-depth while considering its historical roots, ethical implications and future prospects. It is a priceless contribution to the field because real-world case studies and a scoping review provide a distinctive viewpoint and a comprehensive view of the effects of digital transformation on organizations and society.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.