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Using the theoretical framework of social comparison theory (SCT), this study investigates the effects of employee envy on service sabotage behaviors in the hospitality industry. It further examines the complex dynamics of self-performance and job dissatisfaction in this context. Notably, this paper seeks to determine the potential moderating role of perceived employability in the interactions between service sabotage, employee envy, job dissatisfaction and self-performance.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Hotel managers must keep a close eye on their front-of-house staff to avoid any unintentional or direct interactions with customers. Equally important is the consistent and impartial treatment of all employees, which is an important consideration for managers to consider because it can help mitigate employee envy and job dissatisfaction.

This study seeks to enhance understanding of SCT by emphasizing perceived employability as a boundary influencing the relationships between these factors and desired outcomes in the hotel industry, such as job dissatisfaction, self-performance and service sabotage. This paper is an initial attempt to investigate the underlying mechanisms in the relationship between envy and service sabotage.

Internal knowledge transfer is crucial for firms to improve their employees’ abilities and improve their work performance. However, there is still a gap in the knowledge management field regarding whether internal knowledge transfer can leverage employee personality traits and service performance in service-oriented organizations. To address this gap, this study aims to validate a multilevel model of the mediating (i.e. internal knowledge transfer as a mediator) and moderating (i.e. task interdependence as a moderator) mechanisms underlying personality traits and employee service performance.

Multilevel structural equation modeling was applied for model validation using an original data set from 45 team leaders and 333 employees working in Chinese hotels.

Internal knowledge transfer mediated the link between extraversion and employee service performance and the link between openness to experience and employee service performance. Task interdependence played a moderating role that strengthened both the impacts of extraversion and openness to experience on internal knowledge transfer.

Through the use of an original data set, this study advances the knowledge management discipline by investigating the mediating impact of internal knowledge transfer between personality traits and employee service performance and revealing the moderating impact of task interdependence that underlies the links between personality traits and internal knowledge transfer.

Drawing on cultural intelligence and social exchange theories, this study examines cultural intelligence and its effects on proactive service performance and the mediating role of leader's collaborative nature and the moderating role of cultural training and emotional labor, particularly deep acting and surface acting, in the relationship between cultural intelligence and proactive service performance.

The study sample comprised 510 healthcare practitioners. Structural equation modeling was used to examine the hypotheses.

The results show that cultural intelligence positively influences proactive service performance. Additionally, leadership's collaborative nature influences proactive service performance. The moderating effect of cultural training and deep acting positively influences the relationship between cultural intelligence and proactive service performance. In contrast, surface acting reveals a reverse effect, thus exhibiting a positive effect on this relationship.

These findings suggest that public healthcare organizations should pay more attention in improving deep acting, cultural training and leadership's collaborative nature for optimal service performance.

The novelty of this study lies in its presentation of an integrated framework based on cultural intelligence and social exchange theories that can solve the contemporary challenges facing healthcare firms operating in emerging markets in integrating cultural intelligence and service performance.

This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge.

A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0.

This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity.

Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology.

The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.

This study clarifies how intra-organizational social capital (IOSC) and unit-organizational ambidexterity (UOA), using resource-based view and dynamic capability theory, together support organizational value creation. While there is research in strategic human resource management (SHRM) exploring the role of resources and its uses, there remains limited understanding of how resources are linked and their effective utilization in the service sector. This study aims to examine the mediating process linking employee-experienced service-oriented high-performance work systems (SHPWS) experienced by employees and service performance by integrating IOSC and UOA.

This study uses time lagged data from managers and employees of different branches of Chinese state-owned banks. To test the proposed hypotheses, path analysis was applied.

The path analysis results reveal that employee-experienced SHPWS is an important antecedent of service performance. Moreover, IOSC (as resources) and UOA (uses) strongly mediate the theorized relationship.

This study attempts to refine theory and practice with clearer, more insightful and coherent means to better understand and help unpack the ‘black box’ between SHPWS-performance relationships through a new linkage model.

Drawing on the person-environment fit theory, in this paper the authors aim to propose and test a moderated mediation model that examines the relationships among proactive personality and job performance, cultural intelligence and emotional intelligence.

The authors collected the multisource data from a total of 120 hotel service employees and the employees' immediate supervisors. The authors used the PROCESS, an SPSS macro, to conduct multiple regression analyses to test this moderated mediation model.

The results suggest that cultural intelligence mediates the relationship between proactive personality and job performance during cross-cultural service encounters. Furthermore, the indirect effect of proactive personality on job performance during cross-cultural service encounters via cultural intelligence is stronger for service employees who are high in emotional intelligence.

This study has several implications for hospitality management in terms of developing effective strategies to foster cultural and emotional intelligence of service employees and improve the employees' performance.

Considering the limited number of studies showing why, how and in which situations personality can enhance performance, this study contributes to the literature by revealing the effect of proactive personality on the performance of service employees through important constructs such as cultural intelligence and emotional intelligence.

Employing a service-profit chain (S-PC) framework, this manuscript investigates the relationship between employee engagement (EE) and customer engagement (CE) within service contexts and explores how a mediating mechanism, service employee work performance (SEWP), links EE with CE.

Meta-analytic procedures ascertain the magnitude of the relationship between EE and SEWP (k = 102, ρ^ = 0.45) and between SEWP and three dimensions of CE: customer purchases (k = 42, ρ^ = 0.47), customer knowledge (k = 4, ρ^ = 0.33) and customer influence (k = 7, ρ^ = 0.42). The current meta-analysis reports an effect size for the EE-overall SEWP relationship nearly 1.50 times greater than related extant meta-analyses.

Results suggest SEWP, consisting of service employee task performance and contextual performance, serves as an important intervening mechanism between EE and CE by considering nine dimensions of SEWP. Such findings suggest that to maximize SEWP, service employees must go beyond simply being satisfied in their work roles; instead, service employees must feel energized, find fulfillment and meaning and be engrossed in their work to maximize the service they provide to customers.

This research extends previous meta-analytic efforts, bridges the multi-disciplinary gap between EE and CE research, provides an empirical link allowing for informed decision-making for managers and stakeholders, underscores the importance of service employees surpassing required job responsibilities to meet and exceed customer needs and suggests an agenda for future service research integrating EE and CE.

The purpose of this paper is to amend and extend the emerging research that has utilized an employee-focused approach to examining the service recovery process. In doing so, the authors examine the influences of supervisor and coworker support for error management on two measures of employee service performance: service recovery performance and helping behaviors during service failure and recoveries. Specifically, this study examines the linear and non-linear interaction effects of supervisor and coworker support for error management on the outcome variables.

To examine the proposed relationships, the authors conducted a field study that utilized survey data from a sample of 243 restaurant employees and their immediate supervisors. Employee ratings of supervisor and coworker support for error management were matched with the data gathered for the two dependent variables (i.e. supervisory ratings of service recovery performance and helping behaviors). Structural equation modeling was used to examine the linear interaction effects on the outcome variables. To examine the non-linear interaction effects on the outcome variables the authors utilized polynomial regression and response surface modeling.

The results showed that the interaction effects of supervisor and coworker support for error management was significantly positively related to both service recovery performance and helping behaviors. In addition, an alternative analysis of the shape of the interaction effects using polynomial regression and response surface modeling showed that the moderating effects may be better conceptualized as non-linear.

These findings offer new insights about the roles and impact of various forms of support in the service recovery process. First, the current study focuses specifically on supervisor and coworker support for error management and the impact on employees’ service recovery performance and helping behaviors. Second, this research investigates the interaction effects of these two forms of support on service recovery performance and helping behaviors. Third, along with linear interaction effects, the current work examines non-linear interaction effects. These relationships examined in this study have not been tested before. Thus, the findings of this research make a unique contribution to research in service management. The findings of this study provide more prescriptive insights about the means to prevent and respond effectively to service errors.

Drawing upon the conservation of resources theory, this study investigates the recursive relationship between abusive supervision and service performance and the moderating role of coworker support in this recursive relationship.

This study tests the model using moderated cross-lagged analysis with a three-wave longitudinal data from 146 hospitality employees who were working and studying in hospitality.

Results support the recursive relationship: abusive supervision impairs service performance and employees with low service performance provoke abusive supervision. Coworker support mitigates the lagged effect between abusive supervision and service performance and that between service performance and abusive supervision.

Hospitality organizations should have a zero-tolerance policy toward abusive supervision. Employees who would like to avoid abuse should improve their service performance and seek coworker support.

This study uses a novel analytical approach to examine the recursive relationship between abusive supervision and service performance. It provides evidence on the bidirectional causal relationship and sheds light on how employees can avoid getting abused. This study is also one of the first studies that examine the moderating role of coworker support on the effect of service performance on abusive supervision.