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This paper examines the relationship between transportation quality, customer satisfaction and profitability. Specifically, this study examines the simultaneous and asynchronous effect of quality of transportation services on customer satisfaction and financial performance and then performs the same examination in relation to the effect of customer satisfaction on financial performance. The partial least squares approach to structural equation modelling is used to examine longitudinal data from 1995 to 2018 from the US airline industry. The findings suggest that low service quality in transportation has adverse effects on customer satisfaction and financial performance, while the impact of customer satisfaction on financial performance in the US Airline transportation industry is mixed. The authors found that the impact of customer satisfaction on financial performance is significant in full-service airlines but not in low-cost airlines. Surprisingly, the authors found no significant direct relationship between transportation quality and financial performance in the US airline industry.

The application of good buildability practices is vital for improving the performance of projects and businesses in the construction sector. Despite the plethora of research into buildability in construction in the previous years, there is little information concerning how buildability practice can be successfully implemented. This paper aims to develop a conceptual framework that explains how buildability practice can be implemented successfully in the construction industry.

The paper uses an integrative literature review method to synthesise literature from different domains to describe various themes by which buildability assessment can be successfully implemented in the construction industry.

The findings of the review of literature conceptualised a buildability implementation framework at four principal themes: buildability attributes for improving the practice of construction management, factors supporting the implementation of buildability assessment, measures for improving the buildability of building designs and factors impeding the implementation of buildability assessment.

The outcome of this study contributes to knowledge in three different ways. First, the framework emerging from this study provides guidance to stakeholders on strategies for the successful implementation of buildability. Second, the information gathered in this study is useful for the development of buildability assessment tool. Finally, the framework has a potential of improving the practice of embedding buildability into designs. The detailed descriptions of the relevant variables at each principal theme advance the understanding of buildability in the construction industry and are fundamental to developing buildability assessment tools for the industry.

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical infrastructures to help address flood risk management issues and identify climate adaptation strategies.

Using the January 2011 flood in the core suburbs of Brisbane City, Queensland, Australia, various spatial analytical tools (i.e. digital elevation modeling and urban morphological characterization with 3D analysis, spatial analysis with fuzzy logic, proximity analysis, line statistics, quadrat analysis, collect events analysis, spatial autocorrelation techniques with global Moran’s I and local Moran’s I, inverse distance weight method, and hot spot analysis) were implemented to transform and standardize hazard, vulnerability, and exposure indicating variables. The issue on the sufficiency of indicating variables was addressed using the topological cluster analysis of a two-dimension self-organizing neural network (SONN) structured with 100 neurons and trained by 200 epochs. Furthermore, the suitability of flood risk modeling was addressed by aggregating the indicating variables with weighted overlay and modified fuzzy gamma overlay operations using the Bayesian joint conditional probability weights. Variable weights were assigned to address the limitations of normative (equal weights) and deductive (expert judgment) approaches. Applying geographic information system (GIS) and appropriate equations, the flood risk and climate adaptation capacity indices of the study area were calculated and corresponding maps were generated.

The analyses showed that on the average, 36 (approximately 813 ha) and 14 per cent (approximately 316 ha) of the study area were exposed to very high flood risk and low adaptation capacity, respectively. In total, 93 per cent of the study area revealed negative adaptation capacity metrics (i.e. minimum of −23 to <0), which implies that the socio-economic resources in the area are not enough to increase climate resilience of the urban community (i.e. Brisbane City) and its critical infrastructures.

While the framework in this study was obtained through a robust approach, the following are the research limitations and recommended for further examination: analyzing and incorporating the impacts of economic growth; population growth; technological advancement; climate and environmental disturbances; and climate change; and applying the framework in assessing the risks to natural environments such as in agricultural areas, forest protection and production areas, biodiversity conservation areas, natural heritage sites, watersheds or river basins, parks and recreation areas, coastal regions, etc.

This study provides a tool for high level analyses and identifies adaptation strategies to enable urban communities and critical infrastructure industries to better prepare and mitigate future flood events. The disaster risk reduction measures and climate adaptation strategies to increase urban community and critical infrastructure resilience were identified in this study. These include mitigation on areas of low flood risk or very high climate adaptation capacity; mitigation to preparedness on areas of moderate flood risk and high climate adaptation capacity; mitigation to response on areas of high flood risk and moderate climate adaptation capacity; and mitigation to recovery on areas of very high flood risk and low climate adaptation capacity. The implications of integrating disaster risk reduction and climate adaptation strategies were further examined.

The newly developed spatially explicit analytical technique, identified in this study as the Flood Risk-Adaptation Capacity Index-Adaptation Strategies (FRACIAS) Linkage/Integrated Model, allows the integration of flood risk and climate adaptation assessments which had been treated separately in the past. By applying the FRACIAS linkage/integrated model in the context of flood risk and climate adaptation capacity assessments, the authors established a framework for enhancing measures and adaptation strategies to increase urban community and critical infrastructure resilience to flood risk and climate-related events.

This chapter examines group communication in medical teams through psychological safety and simulation training research. Research has shown that medical teams are challenged by established hierarchies, power/status differences, temporal stability, changing team memberships, and deeply held beliefs that emphasize individual responsibility. A review of 47 studies (29 psychological safety, 18 simulation) was conducted to understand key findings in relationship to group communication. Results indicate that team leadership promotes team psychological safety, voice, and relationship quality while status differences and hierarchy continue to affect psychological safety within medical teams. Simulation training facilitated interprofessional relationships, attitudes toward teamwork, self-efficacy, and group communication. The findings of this review suggest that psychological safety may be developed through simulation training. The quality of patient care is improved when all members of medical teams have the ability and motivation to communicate effectively.

Wonders whether companies actually have employees best interests at heart across physical, mental and spiritual spheres. Posits that most organizations ignore their workforce – not even, in many cases, describing workers as assets! Describes many studies to back up this claim in theis work based on the 2002 Employment Research Unit Annual Conference, in Cardiff, Wales.

Due to the need to enhance the buildability of building designs in building construction industry, a buildability assessment framework was developed for use in Nigeria. This paper aims to investigate and determine the factors influencing buildability assessment implementation in the Nigerian construction industry with the view to improving buildability of building designs. To address the aim, this study will provide answers to the following research question: what are the factors hindering and supporting the implementation of buildability assessment in the Nigerian construction industry?

Survey research method was adopted for the study. Questionnaires were administered to purposively selected group of architects, engineers, builders and quantity surveyors involved in construction project delivery within the client, consulting and contracting organisations in Nigeria. A total of 368 questionnaires were distributed among the sampled participants, out of which a total of 219 representing 60% were sufficiently filled and returned. Data collected were analysed using inferential and descriptive statistics.

The results revealed owner’s commitment, clients’ awareness of the benefits of conducting buildability assessment on building design, unity among different professionals in the construction industry, designers consider buildability important, adequate coordination among different design disciplines, adequate channel for coordination and communication between designers and constructors at the design stage and adequate support from the government as the topmost seven factors supporting buildability assessment implementation in the construction sector of Nigeria. Second, the study revealed that poor coordination among different design disciplines, lack of buildability assessment awareness, design review pattern where construction personnel (builders) are invited to assess the building production information, unwillingness to invest extra money and effort during the early stage of project and designers value aesthetics and functionalities more than buildability in their designs are the topmost five factors hindering buildability assessment implementation in the Nigerian construction industry.

The study provides detailed insights into the factors supporting and hindering buildability assessment implementation in the Nigerian construction industry. The findings indicate the need to enlighten principal stakeholders in construction about buildability and the outcome of the buildability assessment tool. This information can motivate principal stakeholders in implementing and practising buildability assessment.

We conduct an experiment to examine the occurrence of the bystander effect on willingness to report a fraudulent act. Specifically, we investigate the impact of evidence strength on managers’ decisions to blow the whistle in the presence and absence of other employees who have knowledge of the wrongdoing. Results indicate that when there is strong evidence indicating a fraudulent act, individuals with sole knowledge are more likely to report than when others are aware of the fraudulent act (the bystander effect). However, the bystander effect is not found when evidence of fraud is weak. Further, a mediated moderation analysis indicates that perceived personal responsibility to report mediates the relation between others’ awareness of the questionable act and reporting likelihood, suggesting that the bystander effect is driven by diffusion of responsibility. Our results have implications for all types of organizations that wish to mitigate the detrimental effect of fraud. Specifically, training or incentives may be necessary to overcome the bystander effect in an organization.