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This study aims to examine the perceived value of service digitalization in fine-dining restaurants in France. No study exists on this topic, and its aim is to address this research gap. To do so, a conceptual framework of the perceived benefits and costs of the service digitalization was developed. This study also provides actionable recommendations for fine-dining restaurant managers to create and manage an optimized fine-dining experience for their customers.

To obtain in-depth information, the authors opted for a qualitative research approach. The authors interviewed 24 fine-dining restaurant managers (listed in the Michelin Guide) and 29 customers of fine-dining restaurants using a video titled “The Restaurant of the Future.”

The findings underline the perceived benefits and costs of service digitalization for both restaurant managers and their customers. This study highlights that fine-dining restaurants are highly experience-centric compared to other types of restaurants and recommends which services should be digitalized and which should not be to create and manage experiences throughout the customer journey.

This research provides restaurants with actionable recommendations in terms of service digitalization to enhance customers’ fine-dining experiences.

This research fills a gap by proposing a conceptual framework to examine the digitalization of services in fine-dining restaurants.

This study aims to examine the relationships among fear of COVID-19, job stress, job commitment and intention to quit. It also investigates the boundary conditions of the impact of fear of COVID-19 on job stress and intention to quit, a research gap that has not been addressed yet.

This research focused on full-time frontline hotel employees who have been working in four- and five-star hotels in Ho Chi Minh City, Vietnam. A pilot test was performed before collecting formal data. The survey was conducted face-to-face on site so that any potential confusion could be clarified right away. 487 valid responses were analyzed using SPSS 28 and SmartPLS 4.

The majority of hypotheses were supported, with the results suggested that supervisor support contributes to reducing the tendency of hotel employees to quit their job and their job stress. Besides, government support is necessary to make staff feel secure during the pandemic.

This study contributes to pointing out central priorities in making decisions by hotel managers when facing crises. Managers need to focus more on measures to help their employees feel secure and should be available for guidance and feedback when nedeed. Additionally, supportive policies from the government, especially financial support, can provide hotel employees with resources they need to maintain a basic level of living in the face of a severe drop in their income. The study provides the hotel industry not only in Vietnam but also in countries with comparable settings with strategies to cope with unexpected events.

Research on intention to quit a job has mainly focused on a complex interplay of internal factors. However, the influence of fear of COVID-19 on intention to quit a job has not been studied in the context of Vietnamese hotel industry yet. During the COVID-19 pandemic, a number of hotels in Vietnam had to close due to a lack of visitors, which had a negative impact on human resources. Accordingly, fear, stress, commitment and intention to quit a job are the issues faced by staff.

This study aims to examine the perceived values of the metaverse when adopting it in the luxury hospitality business. Based on the cost–benefit perspective, this research provides solid theoretical contributions and actionable managerial recommendations.

An exploratory sequential mixed-method design was used. For the qualitative phase, 21 hotel managers and 24 hotel guests (who often stay in four-star and five-star hotels and resorts) were interviewed after showing them a series of videos about using the metaverse in the hotel business. Based on the results of the qualitative phase, the analytic hierarchy process method was used, and 476 valid questionnaires were analyzed.

The results highlight the perceived benefits (personalized services, immersive experience and positive brand image) and costs (lack of human touch, time and effort and security and privacy) of metaverse adoption for hotel managers and their guests. In addition, the study determines the weight of each value attribute of metaverse adoption for each travel stage (pre-travel, during travel and post-travel).

Regarding metaverse adoption, the research offers practical suggestions for luxury hotels. For instance, the cost of equipment and the time and effort required are perceived costs of metaverse adoption. To address these challenges, hotels may offer free equipment (e.g. VR headsets) and training to their guests to stimulate the use of the metaverse.

This study addresses a gap in the literature by presenting a conceptual framework for examining metaverse adoption in the luxury hotel scenario. Unlike using conventional models like the technology acceptance model or the unified theory of acceptance and use of technology to investigate a technology’s adoption, this study stands out by unraveling the topic through the lens of value proposition. The latter often comes from an efficient value co-creation process, which is indeed shaped by an adequate appreciation of the congruence of perceived values (i.e. perceived benefits and costs) of metaverse from hotel manager and guest perspectives.

The purpose of this study is to examine the relationship between the managerial efficiency and the customer satisfaction of Parisian boutique hotels by using the multi-criteria decision analysis (MCDA) methods.

In the first stage, hotels’ managerial efficiency is assessed by data envelopment analysis to establish which hotel has the most efficient performance. In the second stage, the customer satisfaction of these hotels is estimated by the ELECTRE (ELimination et Choix Traduisant la RÉalité) method to assess the hotel’s ability to satisfy their customers.

Empirical results show that there is an inverse relation between customer satisfaction and ability to maximise the Revenue per Available Room (RevPAR). In other words, trying to improve efficiency implies a reduction in guests’ satisfaction (and vice versa).

Therefore, through this research the authors can realise that hotel managers should give more attention to customer service because it has a more direct and important impact on customer satisfaction. It also positively impacts on resource management. However, there are some limitations to this study. First, this study only focuses on 12 hotels. Because the data set is very confidential, it is very difficult to have a bigger sample. Then, the evaluation is based on 2014 figures only. It could be interesting to know their performance for previous years to understand their evolution. Finally, it is necessary to know the percentage of direct reservations for each hotel. For instance, if a hotel is relying too much on online travel agents (i.e. Booking.com, Expedia, etc.), it needs to pay a significant amount of commission to these companies. As a result, it could have a good RevPAR but might pay a huge commission (for example, 20 per cent for most of sites) at the end. In terms of perspectives, it is necessary to conduct a more extensive research to test the hypothesis in a different context. Additionally, the data were taken for a single period of time. It will be very interesting to create a panel of hotels and collect data over a period of time (Barros, 2005; Barros and Santos, 2006; Barros and Deike, 2008). This would enable to better understand the relationship between managerial efficiency and customer satisfaction in a long-term prospective.

This paper presents the relationship between the managerial efficiency and customer satisfaction in Parisian boutique hotels context. Study suggests that in service industry, increase of firm’s efficiency could negatively impact the guest satisfaction. Therefore, through studying the authors can realise that why hotel managers should focus on customer satisfaction, which attributes play the vital role in customer satisfaction and how to optimize their resources. One of the originalities of this paper is that the authors use the customers’ feedback from the UGC websites (Trip Advisor and Booking.com) as the performance evaluation indicators for customer satisfaction. The data are very confidential and hard to get.

The existing hospitality and tourism literature indicates a discrepancy in the findings related to the socio-demographic variables' impact on hotel employees' socio-emotional factors and behavioral outcomes. This study aims to provide a comprehensive understanding of this topic.

Using a questionnaire, primary data were gathered from hotel employees in the Union Territory of Jammu and Kashmir, India from February to June 2022. A total of 416 valid responses collected through offline mode were used in the data analysis. Multiple linear regressions were done using SPSS V.29.

The findings show that the socio-demographic characteristics of respondents significantly affect socio-emotional factors at work as well as interpersonal deviance and organizational deviance.

Policymakers and hotel managers can implement training and development programs that assist hotel employees with diversified socio-demographic attributes in handling stress, developing their emotional intelligence and minimizing workplace deviance. The study also provides hotel managers with actional recommendations to reduce work–family conflict, social disparity among employees and their emotional exhaustion.

The study adds to the literature with a comprehensive framework regarding the role of various socio-demographic traits in fostering interpersonal deviance, organizational deviance and socio-emotional factors at work.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0304

Based on stimulus-organism-response theory, this study aims to develop and tests a model of memorable heritage tourism experience (MHTE). The model proposes that experiencescape, experience co-creation, education and photography are important antecedents of MHTE, which is then a driver of place attachment.

Data for this study were collected using a Web-based questionnaire of people aged 18 years and over who had a heritage tourism experience during the previous three months (February–April 2023). The survey was distributed in May 2023 using Amazon Mechanical Turk (MTurk). A survey link was posted on MTurk, which remained active for the first week of May 2023. Out of the 283 responses received, 272 were valid responses from individuals who met the participation criteria.

Experiencescape, experience co-creation, education and photography were found to be positive drivers of the MHTE, with a positive relationship between MHTE and place attachment.

Many studies linked to memorable tourism experience (MTE) mainly replicate Kim, Ritchie, & McCormick’s (2012) MTE scale, regardless of the specific study context. This study offers an alternative framework through which alternative antecedents and outcomes of tourists’ MTE can be identified.

Recent substantial developments of consumer-to-consumer social commerce platforms (C2C-SCPs) emboldened consumers/users to be involved as sellers. Considering C2C social networks that privilege local reach, this paper aim to explore how the practice-based view informs non-professional sellers' involvement.

Underpinned by data from 29 semi-structured interviews with non-professional sellers on Kaskus, one of the largest local Indonesian C2C-SCPs, the study reveals the emergence of a novel structural practice that we call casual selling.

The findings show that casual selling allows non-professional sellers' involvement in C2C-SCPs through three broad categories of practices: priming oneself, producing commercial operations and valuing others. Within these three categories, non-professional sellers are found to generate both personal and collective involvement along nine situated market practices.

This paper adds to previous research by introducing the practice-based view to social commerce literature. In doing so, it deals with the under-investigated seller's perspective and activities that prevail in C2C-SCPs.

In C2C-SCPs, casual selling constitutes a distinct mode of involvement in social commerce in which established professional selling standards are suspended. As a structural practice, it entices non-professional sellers to consider a wider variety of situations in which they are in dialogue with other individuals (buyers and sellers) to shape s-commerce potential. In doing so, C2C-SCP users draw on a dynamic intertwining between digital technology and the socio-cultural environment surrounding s-commerce.

The study aims to look at deep eWOM providing behaviour in m-commerce and attempts to explore its antecedents. Personalisation is proposed as an indirect antecedent of deep eWOM providing behaviour mediated by hedonic and utilitarian value perceptions and personal identification.

Based on social-exchange theory, the conceptual model links the study antecedents to deep eWOM providing behaviour. The conceptual model was validated through a multi-country study. A large sample of m-commerce users in the UK (n = 505), India (n = 422) and Vietnam (n = 618) were contacted to collect the data. Data were analysed through structural equations modelling procedure with invariance analysis conducted to ensure that the results from the three samples could be compared. The authors also conducted post-hoc analysis to explore the mediation paths between variables.

The study finds support to the conceptual model across the samples from the three countries. Personalisation is found to increase value perceptions – both utilitarian and hedonic – and personal identification which leads to “deep” eWOM providing behaviour across all the three countries. The serial mediation also provides comparable results across the three countries.

The study contributes to the understanding of deep eWOM providing behaviour – a construct with high practical relevance which has however not been explored sufficiently in current literature. The study also contributes to the literature that analyses the consequences of personalisation in m-commerce.

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

This study proposed and tested a new conceptual model of memorable volunteer tourism experiences (MVTEs) by examining the effects of novelty, meaningfulness, experience co-creation and experience intensification on MVTEs. It also examined the relationships among MVTEs, psychological resilience (PR) and behavioural intention (BI), including that between novelty and BI.

The study modelled the proposed relationships by analysing data from an online survey using Amazon Mechanical Turk. In total, 241 responses were used in the data analysis.

This study extended the MVTE construct and included four key antecedents that influence tourists' MVTEs. The study also documented the predictive capability of MVTEs for PR and BI.

Volunteer tourism organisations should offer new and diverse activities for volunteer tourists, such as nature conservation, wildlife protection and construction.

This is the first study to examine the antecedents and outcomes of MVTEs using the stimuli–organism–response theory.