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The purpose of this paper is to investigate the usage of business and simulation games in classroom teaching in the businesses schools of Taiwan and Australia.

An online questionnaire was developed and sent to 2,500 professors in Australia and 1,500 professors in Taiwan. The paper reports the survey results and compares the findings with those existing in the literature. Some of the similarities and differences are also addressed in the paper.

The study found that most of Australian and Taiwanese respondents expressed the need of a feedback system of games. In addition, most former and current users in these two countries think the web‐based games will replace the traditional ones.

The originality of this paper is the survey of game application in Taiwan and Australia. Also, its main value is for practitioners to know what, how and when gaming and simulation can be used in classroom teaching.

Engineering components/structures with geometric discontinuities normally bear complex and variable loads, which lead to a multiaxial and random/variable amplitude stress/strain state. Hence, this study aims how to effectively evaluate the multiaxial random/variable amplitude fatigue life.

Recent studies on critical plane method under multiaxial random/variable amplitude loading are reviewed, and the computational framework is clearly presented in this paper.

Some basic concepts and latest achievements in multiaxial random/variable amplitude fatigue analysis are introduced. This review summarizes the research status of four main aspects of multiaxial fatigue under random/variable amplitude loadings, namely multiaxial fatigue criterion, method for critical plane determination, cycle counting method and damage accumulation criterion. Particularly, the latest achievements of multiaxial random/variable amplitude fatigue using critical plane methods are classified and highlighted.

This review attempts to provide references for further research on multiaxial random/variable amplitude fatigue and to promote the development of multiaxial fatigue from experimental research to practical engineering application.

Team-based work is increasing within organizations nowadays. Despite calls for differentiation between individual and team levels of analysis, research on leadership effects at multiple levels is still limited. By integrating the Conservation of Resources and Social Cognitive theories, this paper aims to analyze the relationships between coaching leadership, team collective efficacy and individual exhaustion via multilevel modeling.

This paper opted for an exploratory study testing a 2-2-1 multilevel mediational model, positing team collective efficacy as a key factor in mediating the relationship between coaching leadership at the team level and exhaustion at the individual level. The hypotheses were tested on a sample of 311 employees, nested in 72 teams (Msize = 5.70, SDsize = 2.82 team members) of a large Italian company that provides financial services.

Results supported the positive association between coaching leadership and team collective efficacy, which, in turn, was negatively associated with team members’ average score in exhaustion and fully mediated the effect of coaching leadership on exhaustion, even controlling for team design features (i.e. task interdependence and team virtuality). The association between coaching leadership and exhaustion was only indirect, explained by team collective efficacy.

Because of the self-report nature of the measures and the cross-sectional nature of the data, this research results might raise problems of variance in common methods and not allow causal conclusions to be drawn. Therefore, researchers are encouraged to test the proposed propositions further.

This paper includes several practical implications for enhancing group efficacy beliefs, which have an impact on individual well-being within the team.

This paper addresses the lack of empirical findings on the multilevel nature of the relationship between coaching-based leadership, collective team effectiveness and individual exhaustion.

In this paper, the authors report the findings of an experiment on the effectiveness of gamification on work performance in a real industrial workplace setting with monotonous, repetitive work.

The authors conducted an experiment with a simple gamification application that the authors added to a given information system and compared the work performance of an experimental group (n = 16) with a control group (n = 15) over a period of one month.

The results of the authors’ experiment show that gamification of the workplace leads to a measurable improvement of work performance, creates prevailingly positive emotions and increases the motivation of the workers.

The authors’ findings provide reasons for conducting future research on the contiguity of gamification and the Hawthorne effect or similar phenomena. In this regard, it also seems necessary to take a closer look at who is really affected by a gamified environment and what the boundaries of the gamified environment are.

The authors demonstrate that gamification is a useful tool for process improvement. Furthermore, our results are helpful for a more successful implementation of gamification.

Gamification has proven to be effective in a large number of application contexts, such as education, health and crowdsourcing. Despite the generally positive evaluation of its effectiveness, gamification is still thought to work differently in different contexts. Therefore, there is a gap in the literature on this topic with respect to real industrial workplaces. To the best of the authors’ knowledge, the authors are among the first to have conducted a gamification experiment in a real industrial context.

This chapter introduces the tourism–disaster–conflict nexus through a comprehensive review of the contemporary social science literature. After reviewing conceptual definitions of tourism, disaster and conflict, the chapter explores various axes that link through this nexus. The linkages between tourism and disaster include tourism as a trigger or amplifier of disasters, the impacts of disasters on the tourism industry, tourism as a driver of disaster recovery and disaster risk reduction strategies in the tourism sector. Linkages between tourism and conflict include the idea that tourism can be a force for peace and stability, the niche status of danger zone or dark heritage tourism, the concept of phoenix tourism in post-conflict destination rebranding, tourism and cultural conflicts, and tourism’s conflicts over land and resources. Linkages between disaster and conflict include disasters as triggers or intensifiers of civil conflict, disaster diplomacy and conflict resolution, disaster capitalism, and gender-based violence and intra-household conflict in the wake of disasters. These are some of the conversations that organise this volume, and this introductory chapter ends with a summary of the chapters that follow.

The use of artificial intelligence (AI) in management research is still nascent and has primarily focused on content analyses of text data. Some method scholars have begun to discuss the potential benefits of far broader applications; however, these discussions have not led yet to a wave of corresponding AI applications by management researchers. This chapter explores the feasibility and the potential value of using AI for a very specific methodological task: the reliable and efficient capturing of higher-level psychological constructs in management research. It introduces the capturing of basic emotions and emotional authenticity of entrepreneurs based on their macro- and microfacial expressions during pitch presentations as an illustrative example of related AI opportunities and challenges. Thus, this chapter provides both motivation and guidance to management scholars for future applications of AI to advance management research.

In this paper, the authors attempt to understand how labour market attachment during the ages of 30–59 influences individuals' transition out of the labour market.

Using high-quality Swedish register data, the authors follow individuals born in 1950 and observe their labour market attachment during mid-life and their exit from the labour market.

The authors find evidence that labour market attachment in different stages of the career is differently related to exit from the labour market. At the age of 30, as well as between the ages 50–59, low attachment is related with earlier exit from the labour market. On the contrary, low labour market attachment during the ages 40–49 is related with later exit from the labour market. However, regardless of age, lower labour market attachment increases the risk of work-related benefit receipt in the exit year. The authors also find evidence that gender, migration status and childhood socioeconomic disadvantages may represent obstacles to longer working lives, while high education is a consistent factor in avoiding early exit from the labour market.

This study provides insights on the link between labour market attachment in different stages of the career and the exit from the labour market as well as work-related benefits dependency in the year of exit.