Search results

The purpose of this study is to examine how customer race (Black vs White) influences the extent to which customers attribute an ambiguous service failure (i.e. subtle degradation of service) to discrimination and how perceived discrimination relates to customer anger and on-site coping behaviors (vindictive complaining, problem-solving complaining and avoidance). This study further investigated how customer race affects the strength of relationships among perceived discrimination, anger and these three coping behaviors.

This study used a video-based simulation in which participants watched a subtle service failure from the customer’s viewpoint before completing a survey. A total of 421 participants – 210 Blacks and 211 Whites – were recruited through Qualtrics. Multigroup structural equation modeling (SEM) analysis was used to test hypotheses.

Compared with White customers, Black customers were more likely to attribute a service failure to discrimination and exhibited a stronger relationship between perceived discrimination and anger. In addition, increasing anger in White customers tended to lead to more active coping strategies (i.e. vindictive complaining, problem-solving complaining). For Black customers, increasing anger tended to lead to vindictive complaining at a similar level to White customers. However, the impact of anger on problem-solving complaining – known to be a more beneficial coping strategy – was stronger among White customers than among Black customers.

This study advances hospitality practitioners’ understanding of how customers respond on-site to a service failure that can be interpreted as discrimination. The varying effects of race on customer-coping behavior are also identified. In addition, this study offers practical advice to develop organizational strategies to dissuade customers from attributing service failure to discrimination and to respond effectively to customer-coping behaviors.

Complementing and extending past research documenting the prevalence and causes of racial discrimination in service settings, the present study advances prior work by developing and testing a comprehensive structural model linking race with coping responses via perceived discrimination and anger, and by exploring how race affects the strength of relationships among perceived discrimination, anger and coping strategies.

This study aims to provide important insights in advancing the hospitality workforce by exploring the dimensions of calling. By identifying significant calling dimensions among hospitality employees, the study is guided by work as calling theory by also examining the mediating role of employees’ professional identity on intention to leave the industry.

This study used an exploratory mixed-methods approach. Study 1 included an online qualitative survey to explore the significant dimensions of calling among hospitality employees. Study 2 measured the significance of hospitality calling dimensions on intention to leave the industry, mediated by professional identity.

Study 1 identified transcendent summons, passion and purposeful life as significant dimensions of hospitality calling. Study 2 examined calling as a second-order construct with the aforementioned dimensions and proposed calling increases professional identity and decreases intention to leave the industry. However, professional identity did not significantly influence the intention to leave the industry.

This study brings value to the calling literature by exploring the calling dimensions unique to the hospitality workforce. Findings also highlight that subjective professional identity alone cannot lower employees’ intention to leave the industry. Organizational and industry support focusing on transcendent summons, passion and purposeful life are recommended.

Service robots are increasingly prevalent in the hospitality industry. While studies have explored the concept of service robot risk awareness (SRRA) – an employee’s perception of service robots posing a threat to human labor – the impact of SRRA on robot abuse and its emotional mechanism through which it affects employees remains unclear. This research leverages emotional appraisal theory to investigate the mediating role of fear of robots in the relationship between SRRA and robot abuse. Additionally, considering the influential role of leadership in shaping emotional appraisal, this study aims to examine the moderating impact of transformational leadership.

To test the proposed model, time-lagged survey data were collected from 283 employees working under 54 leaders in 18 hotels in China. The model was analyzed using multilevel modeling in Mplus 7.3.

At the individual level, SRRA indirectly increases robot abuse through the mediation of fear of robots. However, there is a cross-level moderation: the indirect relationship is alleviated when leaders exhibit high levels of transformational leadership.

This study pioneers the concept of robot abuse in hospitality and tourism settings. It extends emotional appraisal theory by highlighting the significant mediating role played by fear of robots. Furthermore, demonstrating how transformational leadership can mitigate the effects of SRRA offers valuable insights for leadership selection and training to facilitate the successful implementation of service robots.

服务机器人在酒店业中日益普及。虽然研究已探讨了服务机器人风险意识（SRRA）的概念——即员工对服务机器人构成对人力劳动的威胁感知, 但SRRA对辱虐机器人及其对员工的情绪机制的影响仍不清楚。本研究利用情绪评估理论调查了恐惧对SRRA与机器人滥用之间关系的中介作用。此外, 考虑到领导在塑造情绪评估中的重要作用, 本研究还考察了变革型领导力的调节影响。

为了测试提出的模型, 收集了来自中国18家酒店中54位领导下的283名员工的时滞调查数据。该模型使用Mplus 7.3中的多层建模进行分析。

在个体水平上, SRRA通过恐惧对机器人的中介作用间接增加了辱虐机器人。然而, 研究发现跨层次调节变量：当领导展现出较高水平的变革型领导力时, 间接关系得到缓解。

本研究首创了服务在酒店和旅游领域的辱虐机器人行为概念。它通过突出恐惧对机器人的重要中介作用, 扩展了情绪评估理论。此外, 展示了变革型领导如何缓解SRRA的影响, 为领导选聘和培训提供了有价值的见解, 促进了服务机器人的成功实施。

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.