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Extreme work environments are inherently stressful and involve challenging working and living conditions. In contexts ranging from space exploration to disaster response, people must sustain performance under pressure, and function with limited resources. In this paper we develop the concept of endurance for extreme work environments, which we define as the capacity to sustain performance at high levels for safe and effective operations over extended durations (e.g., a mission, operation, deployment, or expedition). We integrate diverse streams of literature (e.g., work stress, recovery, and sleep) to describe endurance in terms of short- and long-term energy management processes as individuals interact with their work-life system (i.e. work, non-work, and sleep environment). We conclude with theoretical and practical implications for a better understanding of endurance, such as considering multiple time perspectives, and the role that researchers, practitioners, and organizations can play in optimizing endurance in the field.

Socially oriented approaches to work systems design are increasingly important as new and disruptive technologies become more prevalent. Existing approaches used by organisations to integrate such technologies are often techno-centric and do not adequately consider human issues. Sociotechnical systems (STS) tools are intended to ensure that the technical and organisational aspects of a system are considered together, and given equal attention. However, they are predominately applied late in the design process, limiting their impact. In this article, we outline an STS approach to the early-phase development of a complex work system. The case study illuminates how an STS approach can facilitate the inclusion of socially oriented factors into the design process. We close with recommendations to guide the early-phase application of STS principles in other industries and contexts. JEL Classification: C93, D02

Digital technologies are catalysing a new age of automation, enabling global connections, and changing the way organisations and their employees accomplish their work. During COVID-19, the implementation of digital technologies was accelerated as organisations have had to conduct more of their business online, and as large numbers of people were required to work from home. Digital technologies have allowed people to move freely within and across organisations (Boudreau et al., 2015, p. 11), have promoted flexible working arrangements and virtual teaming, and have eliminated the need for much of the dangerous work historically performed by humans .

Global demand for energy, environmental concerns over power generation emissions, and rising household energy costs have heightened interest in exploring ways to reduce energy consumption. Numerous approaches have been adopted, including those that build on the important recognition of consumer intentions as a predictor of behavior. However, the literature suggests intentions only moderately explain behavior. Thus, there is a case for further research to explore how the intention to behavior relationship can be strengthened. In response, this study contributes to a better understanding of how to reduce household energy consumption, by investigating the direct, and moderating effects integrated regulation and external regulation, as well as habit, have on the relationship between intention and behavior. The study draws on a large sample of household energy consumers who completed online surveys two months apart. The findings reveal a strong indirect relationship between integrated regulation and behavior through intention, and a significant, direct, and negative relationship between external regulation and behavior. While external regulation moderated the positive relationship between intentions and behavior, the moderating effects of integrated regulation and habit were not significant. Further, a direct effect for habit on behavior was found. These findings suggest regulation types play different roles in affecting consumer intentions and behavior, and support the importance of habit as a predictor of energy consumption.