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This paper aims to contribute to the understanding of group level differences in job satisfaction. Specifically, the authors seek to understand the shared variance in job satisfaction at the group level of jobs within organisations, in a particular industrial sector. To explain differences in job satisfaction between groups, the authors examine the role of job characteristics, particularly as these are defined within the job‐demand‐control‐support model.

The paper presents the results of a cross‐sectional self‐report questionnaire study of 2,733 Belgian bank employees working in six specific jobs and four specific organisations. Research hypotheses are tested using multilevel analyses.

There are substantial and reliable between‐group differences in job satisfaction within the banking sector. These effects are partially explained by job characteristics from the JDCS model at the individual level. At the aggregated level, only decision authority is statistically significant.

The research is limited to Belgium and to the banking sector. The general research question and findings are nevertheless relevant to other single‐sector studies in Western European countries.

Decision authority is more important for group level job satisfaction than job demands and social support from colleagues and supervisors. Human resources managers are therefore recommended to focus more on structural differences and organisational choices that may affect job design and work systems.

The paper aims to make a contribution to the understanding of group level job satisfaction differences in the context of sector studies.

The purpose of this paper is to examine the direct effects of job autonomy and co-worker support on job satisfaction, and the mediational role of work–family conflict (WFC) in the relationship between these job resources and job satisfaction in men and women.

A cross-sectional design was used. Participants (n=653) completed the WFC scale (Netemeyer et al., 1996), the job autonomy scale (Costigan et al., 2003), a scale of co-worker support (Sloan, 2012) and a new short multidimensional scale of job satisfaction.

Higher job autonomy and co-worker support contribute positively to job satisfaction in women and men. Co-worker support has an indirect effect on job satisfaction via WFC in women, but not in men. The WFC did not mediate the relationship between job autonomy and satisfaction in men and women.

This paper contributes to the research on the effects of job resources on WFC and job satisfaction, and on gender differences in the relationship between work and family.

The purpose of this paper is to examine specific stressors and demands, perceived control, received support and stress management strategies of crisis managers (i.e. executives and supervisors of organizations involved in disaster response) in the context of large-scale missions.

Totally, 31 semi-structured interviews with crisis managers were conducted in five European countries and analyzed with the qualitative text analysis method GABEK®.

The sample reported high demands and various sources of stress, including event-specific stressors as well as group specific, occupational stressors such as responsibility for decision making, justification of failures or dealing with press and media. While possibilities for control were perceived as limited during large-scale missions, organizational and peer support played an important role in mitigating mission-related stress. Effective stress management strategies were reported as crucial to ensure successful crisis management, and a need for more comprehensive stress management trainings was emphasized.

While stressors and coping strategies in first responders and emergency services personnel have been previously examined, corresponding research regarding the professional group of crisis management leaders remains scarce. Therefore, this study makes an important contribution by examining influential stressors within the work environment of crisis managers and by identifying starting points and requirements for stress management trainings and psychosocial support programs.

This review aims to summarize previous research on work–family relationships in the tourism and hospitality contexts. It then integrates the various approaches into a holistic model and identifies important areas for future research.

Over 150 research papers from the past 20 years were retrieved from Elsevier Science Direct, SAGE, Emerald, Taylor & Francis and EBSCOHost. In total, 77 papers reporting empirical research were analyzed in terms of concepts, theories, antecedents, consequences and methods.

The major findings on work and family issues in the tourism and hospitality contexts were synthesized. Critical topics for future research were identified. A holistic model of the factors that affect work and family was developed to improve the consistency of future research.

An overview of work–family studies will provide a solid research background to tourism and hospitality faculty members and graduate students who are considering research in this area. This paper is a general review of previous research, and the review focus is relatively global.

This paper is the first comprehensive summary and narrative review of work and family studies in tourism and hospitality.

Hospitableness lies in the center of hospitality services. With the infusion of artificial intelligence (AI) technology in the hospitality industry, managers are concerned about how AI influences service hospitableness. Previous research has examined the consequences of AI technology based on customers’ assessment while ignoring the key players in service hospitableness – frontline employees (FLEs). This study aims to reveal how AI technology empowers FLEs physically, mentally and emotionally, facilitating hospitableness provision.

As the starting point, the instrument for AI-enabled service attributes was designed based on previous literature, hotel FLE interviews, expert panel and a pilot survey, and then validated using survey data. After that, a paired supervisor-employee sample was recruited in 15 hotels, and 342 valid questionnaires covering the constructs were obtained.

Factor analyses and measurement model evaluation suggest that the four factors, including anthropomorphic, entertainment, functional and information attributes, explain the construct of AI-enabled service attributes well, with high reliability and validity. Additionally, anthropomorphic, functional and information attributes of AI technology have been found to enable FLEs physically, mentally and emotionally, which further lead to increased service hospitableness. The entertainment attributes do not significantly reduce physical and mental fatigue but lead to positive emotions of FLEs significantly. Additionally, psychological job demand moderates the effects of AI-enabled service attributes on physical fatigue.

Practical implications can be made for AI technology application and hospitableness provision, in terms of AI technology analysis, job design and employee workload management.

This research contributes to understanding AI-enabled service attributes and their consequences, extends the conservation of resources theory to AI application context and promotes the research on service hospitableness.

Social inequalities in mental health can be captured by occupational situation and social class stratification. This study analyzes the adequacy of a classification of work and employment conditions and an adaptation of the Goldthorpe social class scheme in relation to mental health in Barcelona, Spain.

Multiple correspondence analysis (MCA) and hierarchical cluster analysis (CA) on working and employment conditions were used to empirically construct distinctive working groups. Through 2 logistic regression models, we contrasted the association between mental health and (1) the cluster of employment and working conditions (with 4 categories: insiders, instrumental, precarious and peripheral workers), and (2) a standard Spanish version of the Goldthorpe social class scheme. The performance of the 2 models was assessed with Akaike and Bayesian information criteria. The analyses were carried out using the Barcelona Health Survey (2016) including the labor force population from 22 to 64 years of age.

Wide inequalities were found in mental health with both class schemes. The empirical class scheme was more effective than the Goldthorpe social class scheme in explaining mental health inequalities. In particular, precarious and peripheral workers in the MCA-CA analysis, together with unemployed workers, emerged as distinctive social groups apparently masked within the lower social class in the standard scheme. When using the standard scheme, the authors recommend widening the scope at the bottom of the social class categories while shrinking it at the top as well as considering unemployed persons as a separate category to better represent mental health inequalities.

The working poor appear to report at least as much poor mental health as unemployed persons. Policies aimed at more inclusive work should consider job quality improvements to improve the mental well-being of the labor force.

Our study examines the utility of social classes to explain mental health inequalities by comparing an empirically based social class to the Spanish adaptation of the Goldthorpe classification.

The purpose of this paper is to examine the efficacy of the demand‐control‐support model, augmented with employee perceptions of organisational justice and degree of met expectations.

Data were collected from 128 public sector employees working in a large state police force operating under many of the elements of new public management. Hierarchical multiple regression analyses were conducted using four indicators of occupational strain: employee wellbeing, job satisfaction, organisational commitment and intent to quit.

The results of this study suggest that the demand‐control‐support model has great utility in identifying those aspects of the work environment associated with employee strain. Job control and social support at work in particular were the most consistent predictors. In contrast, the expectation and justice variables failed to make significant contributions to the model in all but one analysis providing no support for the “injustice as stressor” perspective.

Although a cross‐sectional design was utilized, these results highlight the value of applying the parsimonious demand‐control‐support model to a wider set of outcomes, especially in a public sector environment.

The results emphasize the importance of the relatively neglected “softer” work characteristics support and control. In order to combat the ill‐effects of organisational reforms and prompt a shift towards the public value approach, managers operating under elements of new public management should ensure that adequate social support at work is available and that employee control is commensurate with their demands.

This study examined an augmented demand‐control‐support model and identified that whilst perceptions of justice can influence employee attitudes and wellbeing, the demand, control, and support variables remain the most influential factors with regard to public sector employee attitudes and wellbeing.

The purpose of this paper is to investigate the effect of job demand, job control, and supervisory support on stress among nurses in China, Japan, Argentina, and the Caribbean using the Job demand‐control (JDC) and the Job demand‐control‐support (JDCS) models.

The authors have employed a comparative research design, cross‐sectional survey methodology with convenient random sampling, and a commonly used statistical analytic strategy.

The results highlight that job demand, job control, and supervisory support are important variables in understanding stress among nurses. This has been corroborated in China, Japan, Argentina, and the Caribbean. Based on their findings and what is available in the literature, the authors report that the JDCS model has universal significance albeit it works somewhat differently in different contexts.

This study's contribution comes from its comparative nature, theoretical anchor, its use of one of the most popular models of stress, its focus on a profession that is demonstrably stressed, its use of common measures and an established analytic strategy. The study's findings underscore the cross‐cultural usefulness and application of the JDCS model along with its threshold and substitution effects and limiting conditions.

Karasek's (1979) job demands-control model is one of the most widely studied models of occupational stress (de Lange, Taris, Kompier, Houtman, & Bongers, 2003). The key idea behind the job demands-control model is that control buffers the impact of job demands on strain and can help enhance employees’ job satisfaction with the opportunity to engage in challenging tasks and learn new skills (Karasek, 1979). Most research on the job demands-control has been inconsistent (de Lange et al., 2003; Van Der Deof & Maes, 1999), and the main reasons cited for this inconsistency are that different variables have been used to measure demands, control, and strain, not enough longitudinal research has been done, and the model does not take workers’ individual characteristics into account (Van Der Deof & Maes, 1999). To address these concerns, expansions have been made on the model such as integrating resources, self-efficacy, active coping, and social support into the model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001b; Johnson & Hall, 1988; Demerouti, Bakker, de Jonge, Janssen, & Schaufeli, 2001a; Landsbergis, Schnall, Deitz, Friedman, & Pickering, 1992). However, researchers have only been partially successful, and therefore, to continue reducing inconstencies, we recommend using longitudinal designs, both objective and subjective measures, a higher sample size, and a careful consideration of the types of demands and control that best match each other theoretically.

At the end of the session, learners are expected to be able to evaluate the detrimental impact of stress on blue-collar workers’ well-being in Attainer Engineering Sdn Bhd; develop effective strategies to improve stressful conditions experienced by blue-collar workers in Attainer Engineering Sdn Bhd; analyse and select appropriate approaches that can help maintain the motivation levels of blue-collar workers in Attainer Engineering Sdn Bhd; analyse the impact of Attainer Engineering Sdn Bhd’s extensive investment in training new blue-collar workers, alongside the subsequent high turnover rate, on the decline in sales and profit; identify the critical changes that the managing director should have implemented to prioritize employee retention among blue-collar workers at Attainer Engineering Sdn Bhd; discuss the strategic implementation of mechanization, specifically in the context of automating repetitive processes, as an innovative solution to address the challenges faced by the ship repair and maintenance service industry heavily reliant on blue-collar workers in emerging markets; cultivate thoughtful debates on ways to keep blue-collar workers in the shipping repair and maintenance industry, as well as active learner participation and group interaction; develop learners’ analytical and critical thinking skills by guiding them through the analysis of a real-world case study in the shipping repair and maintenance industry, concentrating on the difficulties and potential solutions for blue-collar worker retention; and equip learners with practical knowledge and insights on implementing effective human resources strategies for retaining blue-collar workers in the shipping repair and maintenance industry, emphasizing the conversion of theoretical concepts into workable solutions.

This teaching case study centres on Attainer Engineering Sdn Bhd, a Malaysian conglomerate that bestows ship repair and maintenance services. Regrettably, the corporation has been subjected to a decrease in profitability and productivity owing to its high turnover rate of blue-collar workers. The ship repair and maintenance service industry is accountable for delivering comprehensive repair and maintenance services to ships, including their engines, hulls, machinery and other related components. The fundamental aim of this case study is to ascertain the rudimentary factors that contribute to this issue and foster effective strategies to enhance the motivation and retention rate of blue-collar workers in the ship repair and maintenance service corporation, using appropriate management theories, models and concepts. The case study brings to light the importance of discovering the most suitable approaches to retain blue-collar workers in the corporation to improve its profitability and productivity in a highly competitive market. This teaching case study will be beneficial for students and practitioners who want to grasp the disputes associated with retaining blue-collar workers in the ship repair and maintenance service industry and learn how to apply management theories, models and concepts to address these disputes effectively.

This case discussion would be highly suitable for undergraduate and postgraduate university students who are pursuing their studies in management or related fields and are eager to delve into the nuances of the ship repair and maintenance service industry. Furthermore, trainers from both private and public agencies who are keen on gaining a deeper understanding of the issues pertaining to retaining blue-collar workers in this particular industry and devising result-oriented strategies to tackle these concerns would also find this case discussion immensely helpful.

Teaching notes are available for educators only.

CSS 6: Human resource management.