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This study was designed to contribute to the extant literature by discovering the perceptions of restaurant employees and managers toward equal opportunities in restaurant labor and working in a diversity-rich restaurant work environment.

A qualitative research approach was utilized. Through in-depth interviews, data were collected purposefully from restaurant workers in different positions (e.g. managers, servers, chefs and cooks) in the USA.

As a result of content analysis, different perspectives emerged on equal employment opportunity and diversity in restaurant labor. While some employees and managers believe that restaurant labor has equal employment opportunities, others think there is a lack of equal employment opportunity and partial equal employment opportunity in the industry. Most participants perceive working in a diversity-rich restaurant work environment as beneficial (an opportunity to learn about different cultures and an opportunity to learn different experiences and approaches).

To the best of our knowledge, this is the first paper to explore employees' and managers' perceptions of equal employment opportunity and diversity in the hospitality labor context, specifically restaurant labor. Therefore, the research findings will create value for scholars to understand the view on equal employment opportunity and diversity in restaurant labor. Further, it will assist practitioners in designing their labor structure regarding equal employment opportunity and diversity management for the future.

Skilled workers are crucial for an organization’s success, and managing, retaining and attracting them is vital in long-term. This study aims to explore talent management practices in the Finnish restaurant industry and to align workers' expectations with the real-world experiences of their work to reduce turnover and enhance job satisfaction.

The study adopts a mixed methods approach, including a survey and interviews with workers and managers to gain insights into their expectations and experiences of work. The study considers themes for designing and implementing effective talent management procedures.

This study highlights the importance of employees' experiences of their work conditions, leveraging positive emotions and fair utilization of temporary agency work (TAW). Understanding the different work preferences of generational cohorts and addressing the challenges associated with owner disengagement and TAW can also contribute to attracting and retaining talent in the restaurant industry.

Skilled workers have often been portrayed as targets that need to be managed, with insufficient consideration given to their preferences, needs and expectations. With the findings of this study, companies can establish mutual understanding with their employees and attract diverse talent.

As perceived corporate social responsibility (CSR) has become one of the long-term sustainable development strategies for many companies, this paper investigates the interrelationships between sustainable values (SVs), perceived CSR and customer behaviour in the restaurant industry.

To gather data needed to meet the study aims, we conducted an online survey of restaurant patrons in China, and used partial least squares structural equation modelling (PLS-SEM) to analyse the proposed models and test the hypotheses.

The obtained findings confirm that the three studied SV dimensions (equality, respect for nature and shared responsibility) have positive effects on perceived CSR, which in turn significantly affects word of mouth (WOM). Moreover, perceived CSR mediates the relationship between the three SVs and WOM but has no impact on the relationship between SVs and revisit intention.

The results of this study have practical implications for managers in the restaurant industry. Restaurant managers can prioritize their CSR efforts based on the relative importance of SV dimensions, which is useful in generating positive WOM.

Even though the importance of CSR is widely recognised, it is insufficiently studied from the perspective of restaurant customers. This research not only addresses this gap, but also expands the current understanding of SVs and their impact on CSR.

Using the lens of crisis innovation and strategic alignment, this study explores how a segment of the restaurant sector that may be less agile than others—Michelin-starred restaurants—perceives and aligns with the challenges brought about by the COVID-19-pandemic.

The study collected data from 19 Michelin-starred restaurants in Spain using a qualitative interview method. The data were analyzed qualitatively and organized thematically.

Four key categories of strategic challenges were identified: human resources, uncertainty, control and economic challenges. In response, chefs displayed both behavioral and organizational strategies. Those organizational strategies were new human resource management, reorganization, product and service innovation and marketing. While the new human resource management actions adopted to align with the human resource challenges identified, a misalignment remains between some of the other strategic actions, such as product and service innovation, marketing and economic and uncertainty challenges.

The findings offer new insight into Michelin-starred restaurant chefs' challenges and (mis)alignment strategies, an area that has been understudied in the current literature on innovative responses in the hospitality sector post-pandemic.

The proliferation of the coronavirus disease (COVID-19) has threatened the service industry, especially the restaurant sector, requiring innovative ways to help restaurants overcome this challenge. Thus, based on the stimulus–organism–response (SOR) model, the purpose of this study is to examine the role of customers' perception of a restaurant's innovativeness (CPRI) in brand evangelism by mediating customer engagement (CE). Additionally, this study examines the moderating role of customer openness to experience.

A Web-based survey collected the primary data from 483 Egyptian customers. The data were analysed using the partial least squares structural equation modelling method based on WarpPLS.7 software.

According to the findings, CPRI, which acts as a stimulus in the SOR model, positively affects CE (organism) and brand evangelism (response). CE positively affects restaurant evangelism. Additionally, CE mediates the relationship between CPRI and evangelism. Openness to experience moderates the relationship between CPRI, engagement and brand evangelism.

This study addresses the gaps in understanding CE and brand evangelism within the context of restaurant innovation. This study assesses restaurant innovativeness scales of developing economies in multiple dimensions. Egyptian restaurant marketing managers should innovate products, services, experiences, and promotions to increase consumer engagement and feedback through technology.

This study investigates how Egyptian restaurants engage with and evangelise customers through innovation. This is one of the few studies that examine brand evangelism in a restaurant setting from the perspective of the SOR theory. Additionally, this study analyses CE as a mediator and openness to experience as a moderator.

The emergence of dark kitchens in the restaurant industry is a contemporary phenomenon, arising most recently in the context of the so-called gig economy. This new business model flourished during the coronavirus disease 2019 (COVID-19) pandemic on a global scale. Despite dark kitchens' popularity, considerable negative publicity exists in the news related to poor working conditions. To highlight this new phenomenon, this paper explores the existing literature on worker exploitation in dark kitchens in the context of the gig economy.

A systematic literature review of hospitality and tourism databases generated 1,430 articles, of which 18 met the authors' inclusion criteria for the final analysis, and 1,030 anecdotal sources, of which 47 were included. Thematic analysis was used to identify the key themes and summarise the findings to be used for further studies.

The popularity of dark kitchens as a business model is premised on the fact that dark kitchens' dramatically reduces the operational cost and increases productivity. On the other hand, the working conditions and contractual agreements of the gig workers in dark kitchens raise several questions from operational, legal and ethical perspective. These poor working conditions create the conditions for worker exploitation and further damage the sector's image.

This study advocates that companies and managers are responsible for implementing and monitoring fair working conditions in dark kitchens. The existence of poor working conditions increases employee turnover and, overall, affects the industry's reputation.

This explorative study provides insights into the working conditions and contractual agreements in dark kitchens. Currently, there is no other study (empirical or conceptual) to shed light on the working practices. The authors hope this study will trigger further discussion and empirical research in this field.

This study aims to identify the impact of restaurant pandemic mitigation measures on perceived service quality.

A total of 15,251 reviews were collected from 300 TripAdvisor Lisbon restaurant Web pages between March 2020 and December 2021, when Covid-19 contingency measures were in place. Grounded on the online reviews, a word frequency matrix was created and used as input on partial least squares–structural equation modeling to test the proposed hypotheses.

The results suggest that precaution measures, such as the Vaccination Certificate, negative tests and restaurant layout configuration, positively influenced perceived service quality and consumer satisfaction, moderated by consumers’ beliefs.

This study provides relevant information for restaurant managers, which will help them implement strategies to guarantee service quality, consumer satisfaction and revisit intentions in future pandemic scenarios.

This study aims to establish a comprehensive satisfaction analysis framework by mining online restaurant reviews, which can not only accurately reveal consumer satisfaction but also identify factors leading to dissatisfaction and further quantify improvement opportunity levels.

Adopting deep learning, Cross-Bidirectional Encoder Representations Transformers (BERT) model is developed to measure customer satisfaction. Furthermore, opinion mining technique is used to extract consumers’ opinions and obtain dissatisfaction factors. Furthermore, the opportunity algorithm is introduced to quantify attributes’ improvement opportunity levels. A total of 19,133 online reviews of 31 restaurants in Universal Beijing Resort are crawled to validate the framework.

Results demonstrate the superiority of Cross-BERT model compared to existing models such as sentiment lexicon-based model and Naïve Bayes. More importantly, after effectively unveiling customer dissatisfaction factors (e.g. long queuing time and taste salty), “Dish taste,” “Waiters’ attitude” and “Decoration” are identified as the three secondary attributes with the greatest improvement opportunities.

The proposed framework helps managers, especially in the restaurant industry, accurately understand customer satisfaction and reasons behind dissatisfaction, thereby generating efficient countermeasures. Especially, the improvement opportunity levels also benefit practitioners in efficiently allocating limited business resources.

This work contributes to hospitality and tourism literature by developing a comprehensive customer satisfaction analysis framework in the big data era. Moreover, to the best of the authors’ knowledge, this work is among the first to introduce opportunity algorithm to quantify service improvement benefits. The proposed Cross-BERT model also advances the methodological literature on measuring customer satisfaction.

This study aims to explore the role of restaurant experienscape in affecting diners' emotions and satisfaction with solo dining, considering the moderating role of solo dining willingness and public self-consciousness (PSC).

In total, 403 Korean customers who had dined alone at restaurants in the past three months participated in this study. Structural equation modeling, including multiple group analysis, was conducted to examine the hypotheses.

The dining atmosphere influenced solo diners' positive emotions but not their negative emotions. Responses from other guests and the interactional fairness of employees affected solo diners' negative emotions but not their positive emotions. Food sensory influences both positive and negative emotions. This study found that PSC significantly moderated the effect of the dining atmosphere on positive emotions, and solo dining willingness significantly moderated the impact of food sensory on positive emotions.

This study suggests that restaurant managers should pay close attention to providing fair service to all customers by training and educating employees because the unfair treatment that solo diners receive from employees affects focal customers' negative emotions.

The experienscape model was applied to the solo dining context based on Mehrabian and Russell's (1974) stimulus–organism–response paradigm and Pizam and Tasci's (2019) experienscape concept, which reflects the growing trend in solo dining.

Within the scope of the research, articles about service robots were examined by the systematic review method.

The research aims to evaluate the articles on service robots, an artificial intelligence (AI) application in restaurant businesses, using a systematic review method. In systematic reviews, the data obtained as a result of scanning databases to find an answer to a research question are synthesized and reported. The criterion sampling technique, one of the purposeful sampling methods, was used for the sample of the research. Inclusion and exclusion criteria were applied within the scope of screening.

The articles on service robots were carried out between 2018 and 2023. In terms of research methods, most of the articles are quantitative, while there are studies on mixed and qualitative methods. In studies, data were generally collected by survey technique. The keywords of the studies on service robots are examined; the most commonly used words were service robot and AI, technology, restaurant, satisfaction, revisit intention, consumer behavior, intention, preference, hospitality and foods. The objectives of the articles pertinent to service robots are mostly to determine people's attitudes and acceptance toward these services focuses.

The studies seem to focus more on customer acceptance, trust, expectations, risks, adaptation, reasons for preference, impact on creative services, emotional and cognitive effects and human–robot interaction. Despite this, it is observed that there are fewer studies on topics such as the development of service robots in restaurant businesses, their reflections on the future, future opportunities and the quality of chef service robots. Based on this, it is recommended to consider studies that will serve as a reference for revealing innovative opportunities that can meet future expectations in order to increase the quality of service robots in restaurant businesses.