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This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

The correlations between mechanical behaviour, tensile strength, and rock parameters of metasedimentary rock samples in Karak, Pahang’s New Austrian Tunnelling Method (NATM) were statistically evaluated from the rock mechanic laboratory works at the selected sections around 2,000 m of the tunnel (named as NATM-1). According to a statistical analysis, lithotypes, geological structures, and region geology have a significant impact on the mechanical behaviour of the metasedimentary rock. In the Brazilian test, the fracture behaviour of the disc specimens was highly related to the reliability and precision of the experimental data by validations of methods. In this work, the impact of different loading methods and rock lithotypes on the failure mechanism of Brazilian discs was examined utilising five different metasedimentary rock types and three different loading methods. During the loading operation, the strain and displacement fields of the specimens were recorded and evaluated using a computerised strain gauge system. The rock types, according to experimental data, have a significant impact on the peak load and deformation properties of Brazilian discs. With the method below, tensile strength point of a disc specimen is clearly regulated by the material stiffness and tensile–compression ratio. Seismic occurrences have had a substantial impact on changing the rock and exerting forces that may affect its mechanical characteristics as well as its vulnerability to weathering effects or discontinuities. As a result, the goal of this study is to look into the connection between rock mechanics and metasedimentary rock stress analysis in NATM-1, Karak, Pahang.

The consideration of alternative sources of material for construction is imperative to reduce the environmental impacts as two-fifths of the carbon footprint of materials is attributed to the construction industry. One alternative material with improved biodegradable attributes which can contribute to carbon offset is bamboo. The commercialisation of bamboo in modern infrastructures has significant potential to address few of the Sustainable Development Goals (SDGs) itemised by the United Nations, namely SDG 9 about industry, innovation and infrastructure. Other SDGs covering sustainable cities and communities, responsible consumption and production and climate action are also indirectly addressed when utilising sustainable construction materials. Being a natural material however, the full commercialisation of materials such as bamboo is constrained by a lack of durability. Besides fracture mechanisms arising from load-induced cracks and thermal modification, the durability of bamboo material is greatly impaired by biotic and abiotic factors, which equally affect its natural rate of degradation, hence fracture behaviour. In first instance, this chapter outlines the various factors leading to the durability limitations in bamboo material due to load-induced cracks and natural degradation based on recent findings in this field from the author's own work and from past literature. Secondly, part of this chapter is devoted to a new approach of processing the surge of information about the varied aspects of bamboo durability by considering the powerful technique of artificial intelligence (AI), specifically the artificial neural network (ANN) for prediction modelling. Further use of AI-enabled technologies could have an impactful outcome on the life cycle assessment of bamboo-based structures to address the growing challenges outlined by the United Nations.

The preponderance of studies that rely on self-report for both independent (e.g. stressors) and dependent (e.g. well-being) variables is often deplored, as it creates problems of common method variance, which may lead to inflated, or even spurious, correlations and predictions. It is sometimes suggested that alternative measures should yield more “objective” information on the phenomena under investigation. We discuss this issue with regard to: (a) observational measures of working conditions; (b) physiological measures of strain; and (c) event-based “self-observation” on a micro-level. We argue that these methods are not necessarily “objective.” Like self-report, they are influenced by a plethora of factors; and measurement artifacts can easily be produced. All this can make their interpretation quite difficult, and the conclusion that lack of convergence with self-report automatically invalidates self-report is not necessarily warranted. Especially with regard to physiological measures, one has to keep in mind that they refer to a different response level that follows its own laws and is only loosely coupled with psychological responses. Therefore, replacement is not a promising way to get more reliable estimates of stressor-strain relationships. We argue instead that each method contains both substantive and error variance, and that a combination of various methods seems more auspicious. After discussing advantages and pitfalls of observational, physiological, and self-observational measures, respectively, we report empirical examples from our own research on each of these methods, which are meant to illustrate both the advantages and the problems associated with them. They strengthen the overall conclusion that there is no “substitute” for self-report (which often is necessary to be able to interpret data from other methods, most notably physiological ones). They also illustrate that collecting such data is quite cumbersome, and that a number of conditions have to be carefully considered before using them, and we report some problems we encountered in this research. Altogether, we conclude that self-report measures, if carefully constructed, are better than their reputation, but that the optimal way is to complement them with other measures.

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.

Given the increasing global focus of many aspects of our society, researchers have taken significant steps in understanding the impact of culture on various psychological states. This review focuses on the stressor–strain relationships within the context of cross-cultural and cross-national studies. Using research findings from the United States as a baseline, we identify common and unique themes concerning the stressor–strain relationships between different countries, and clarify the differences between cross-national and cross-cultural studies. Furthermore, we consider cross-cultural and cross-national occupational stress research from an individual differences perspective. We encourage future studies to adopt this perspective and carefully consider the implications of cultural values on occupational stress research at the individual, group, and country levels.

In this chapter, we review empirical research evidence on the relationship between stressors and catecholamines (i.e., adrenaline and noradrenaline) and cortisol. With respect to acute stressors, both laboratory and field research have shown that the exposure to stressors leads to an increase in catecholamine and cortisol levels. With respect to more chronic stressors, research evidence is less consistent. Chronic mental workload was found to be related to elevated adrenaline levels. With respect to cortisol responses the interaction between workload and other variables seems to play a role. Empirical studies suggest that chronic stressors affect the responsivity to acute stressors. Research showed that after the exposure to stressors catecholamine and cortisol recovery is delayed.

New developments in concepts and approaches to job stress should incorporate all relevant types of resources that promote well-being and health. The success resource model of job stress conceptualizes subjective success as causal agents for employee well-being and health (Grebner, Elfering, & Semmer, 2008a). So far, very little is known about what kinds of work experiences are perceived as success. The success resource model defines four dimensions of subjective occupational success: goal attainment, pro-social success, positive feedback, and career success. The model assumes that subjective success is a resource because it is valued in its own right, triggers positive affect and emotions (e.g., pleasure, cf., Weiss & Cropanzano, 1996), helps to protect and gain other resources like self-efficacy (Hobfoll, 1998, 2001), has direct positive effects on well-being (e.g., job satisfaction, cf., Locke & Latham, 1990) and health (Carver & Scheier, 1999), facilitates learning (Frese & Zapf, 1994), and has an energizing (Locke & Latham, 1990, 2002) and attention-directing effect (Carver, 2003), which can promote recovery by promoting mental detachment from work tasks in terms of absence of job-related rumination in leisure time (Sonnentag & Bayer, 2005).

The model proposes that success is promoted by other resources like job control (Frese & Zapf, 1994) while job stressors, like hindrance stressors such as performance constraints and role ambiguity (LePine, Podsakoff, & LePine, 2005), can work against success (Frese & Zapf, 1994). The model assumes reciprocal direct effects of subjective success on well-being, health, and recovery (upward spiral), and a moderator effect of success on the stressor–strain relationship. The chapter discusses research evidence, measurement of subjective occupational success, value of the model for job stress interventions, future research requirements, and methodological concerns.

We develop a conceptual model, based on person-environment fit theory, which explains how employee age affects occupational strain and well-being. We begin by explaining how age directly affects different dimensions of objective and subjective P-E fit. Next, we illustrate how age can moderate the relationship between objective P-E fit and subjective P-E fit. Third, we discuss how age can moderate the relationships between P-E fit, on one hand, and occupational strain and well-being on the other. Fourth, we explain how age can impact occupational strain and well-being directly independent of P-E fit. The chapter concludes with implications for future research and practice.

In this chapter, we discuss the impact of business trips on travelers and their families from the perspective of respite, thus embedding business trips in stress theories. We begin by reviewing the literature on respite and recovery. Focusing on the role of travelers’ resources, we relate the phenomenon of business trips to conservation of resources (COR) and job demands-resource (JD-R) theories. We then discuss the negative and positive characteristics and outcomes of business trips. We offer evidence from interviews with business travelers regarding the special characteristics and consequences of business trips. We summarize by addressing the question of whether business trips are a special kind of respite.