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Confirms the empirical test of Hunt and Vitell’s general theory of marketing ethics by Mayo and Marks across four cultures. Uses path analysis to show the core relationships of the general theory of marketing ethics were successfully replicated using over 1,500 students from seven universities in the USA, Canada, the Netherlands, and Australia. States that tomorrow’s managers appeared to use a more deontological approach to making ethical judgements about personal selling. Extends its original research by confirming the positive relationship between the probability and the desirability of consequences. Concludes that, although the model was originally intended to explain management ethical decision making, the study shows that it may be possible to generalize as to how individuals make ethical life decisions.

Services research to date has focussed mainly on utilitarian service encounters of relatively short duration. Leisure services, on the other hand, generally require customers to spend extended periods of time in the physical surroundings of the service provider (i.e. the “servicescape”). In such cases, the servicescape may have a significant effect on the extent to which customers are satisfied, which in turn will influence how long they will desire to stay at the leisure service, and whether they will want to repatronize the service provider. Shows that specific servicescape elements (facility aesthetics, layout, seating comfort, electronic equipment, and cleanliness) influence customers’ perceived quality and satisfaction with the servicescape. The servicescape model was tested across three different leisure services: major college football, minor league baseball and casinos. Knowing how consumers perceive the servicescape can guide management in renovation and day‐to‐day facility management decisions.

The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field of information processing techniques. It faces the big challenges and difficulties of a large amount of data, high dimensionality, and dynamical change of data. However, such issues might be addressed with the help from other research fields, e.g., swarm intelligence (SI), which is a collection of nature-inspired searching techniques. The paper aims to discuss these issues.

In this paper, the potential application of SI in big data analytics is analyzed. The correspondence and association between big data analytics and SI techniques are discussed. As an example of the application of the SI algorithms in the big data processing, a commodity routing system in a port in China is introduced. Another example is the economic load dispatch problem in the planning of a modern power system.

The characteristics of big data include volume, variety, velocity, veracity, and value. In the SI algorithms, these features can be, respectively, represented as large scale, high dimensions, dynamical, noise/surrogates, and fitness/objective problems, which have been effectively solved.

In current research, the example problem of the port is formulated but not solved yet given the ongoing nature of the project. The example could be understood as advanced IT or data processing technology, however, its underlying mechanism could be the SI algorithms. This paper is the first step in the research to utilize the SI algorithm to a big data analytics problem. The future research will compare the performance of the method and fit it in a dynamic real system.

Based on the combination of SI and data mining techniques, the authors can have a better understanding of the big data analytics problems, and design more effective algorithms to solve real-world big data analytical problems.

Resilience development during university can increase the likelihood of positive employment outcomes for project management graduates in what is known as a stressful profession where the prevalence of project failure, job insecurity, and burnout is high. However, a focus on student resilience in project management education is scarce. The purpose of this paper is to address this gap by establishing a baseline profile of resilience for project management students, identifying priority areas of resilience development and exploring the relationship between resilience and well-being.

In total, 292 Australian students undertaking project management studies completed a survey comprising of the Resilience at University scale, the Short Warwick–Edinburgh Mental Well-being Scale and an item assessing sleep adequacy.

A resilience profile for undergraduate, postgraduate, male and female project management students was calculated. The resilience profile identified differences according to gender, and between undergraduate and postgraduate students. Mental well-being and adequate sleep were found to be significantly related to resilience.

Findings support the call for a greater emphasis on resilience development in the project management curriculum for undergraduates and postgraduates. One priority area likely to facilitate resilience is the ability to maintain perspective. As well as supporting academic achievement, it will assist graduates to navigate through complex, uncertain and challenging project environments.

This is the first known study of resilience for students undertaking project management studies in higher education.