The construction industry represents one of the greatest contributors to atmospheric emissions of CO₂ and anthropogenic climate change, largely resulting from the production of commonly used building materials such as steel and concrete. It is well understood that the extraction and manufacture of these products generates significant volumes of greenhouse gases and, therefore, this industry represents an important target for reducing emissions. One possibility is to replace emissions-intensive, non-renewable materials with more environmentally friendly alternatives that minimise resource depletion and lower emissions. Although timber has not been widely used in mid- to high-rise buildings since the industrial revolution, recent advances in manufacturing have reintroduced wood as a viable product for larger and more complex structures. One of the main advantages of the resurgence of wood is its environmental performance; however, there is still uncertainty about how mass timber works and its suitability relative to key performance criteria for construction material selection. Consequently, the aim of this study is to help guide decision making in the construction sector by providing a comprehensive review of the research on mass timber. Key performance criteria for mass timber are reviewed, using existing literature, and compared with those for typical concrete construction. The review concludes that mass timber is superior to concrete and steel when taking into consideration all performance factors, and posits that the construction industry should, where appropriate, transition to mass timber as the low-carbon, high performance building material of the future.

This research examines the organizational characteristics that contribute to employee wellbeing in public sector agencies that have undergone substantial organizational change. Two studies were undertaken, the first involving 2,466 police officers working in a state-based law enforcement agency, whereas the second comprised 1,010 occupationally diverse employees working in a State Government authority. The research was guided by a theoretical framework that begins with a model underpinning many large-scale job stress investigations—the job strain model (JSM)—and is expanded to incorporate widely used social exchange variables (i.e., psychological contract breach and organizational fairness). The results of hierarchical regression analyses from both studies confirm the value of the JSM. There was also strong support for extending the JSM to include the breach and fairness variables; however, proposed interactions between job demands and organizational fairness failed to add to the explanatory value of the model. The implications of these results particularly for public sector organizations that have undergone extensive reforms consistent with New Public Management are discussed.

Research focusing on the relationship between organizational justice and health suggests that perceptions of fairness can make significant contributions to employee wellbeing. However, studies examining the justice–health relationship are only just emerging and there are several areas where further research is required, in particular, the uniqueness of the contributions made by justice and the extent to which the health effects can be explained by linear, non-linear and/or interaction models. The primary aim of the current study was to determine the main, curvilinear and interaction effects of work characteristics and organizational justice perceptions on employee wellbeing (as measured by psychological health and job satisfaction). Work characteristics were measured using the demand–control–support (DCS) model (Karasek and Theorell, 1990) and Colquitt's (2001) four justice dimensions (distributive, procedural, interpersonal and informational) assessed organizational justice (Colquitt, 2001). Hierarchical regression analyses found that in relation to psychological health, perceptions of justice added little to the explanatory power of the DCS model. In contrast, organizational justice did account for unique variance in job satisfaction, the second measure of employee wellbeing. The results supported linear relationships between the psychosocial working conditions and the outcome measures. A significant two-way interaction effect (control × support at work) was found for the psychological health outcome and the procedural justice by distributive justice interaction was significant for the job satisfaction outcome. Notably, the findings indicate that in addition to traditional job stressors, health promotion strategies should also address organizational justice.

This study identifies the environmental and personal characteristics that predict employee outcomes within an Australian public sector organization that had, under New Public Management (NPM), implemented a variety of practices traditionally found in the private sector. These are more results-oriented, and their adoption can be accompanied by increased strain for employees. The current investigation was guided by two complementary theories, the Demand Control Support (DCS) model and Conservation of Resources (COR) theory, and sought to examine the benefits of building on the DCS to include both situation-specific stressors and internal coping resources. Survey responses from 1,155 employees were analysed. The hierarchical regression analyses indicated that both external and employee-centred variables made significant contributions to variations in psychological health, job satisfaction, and organizational commitment. The external resources, work based support and, to a lesser extent, job control, predicted relatively large proportions of the variance in the target variables. The situation-specific stressors, particularly those involving harmful management practices (e.g., insufficient time to do job as well as you would like, lack of recognition for good work), made significant contributions to the outcome measures and generally supported the process of augmenting the generic components of the DCS with more situation-specific variables. In terms of internal resources, problem and emotion-based coping improved the capacity of the model to predict psychological health. The results suggest that the impact of NPM can be ameliorated by incorporating the dimensions of the augmented DCS and coping resources into the change programme.