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The increasing complexity of civil engineering projects necessitates focusing on new competencies of project participants. Based on the research on team performance and design processes that are more closely linked to the relevance of the project context, it is hypothesised that empathic abilities could play an important role in the performance of civil engineering projects. Therefore, this study aims to investigate whether performance can be improved by focusing on empathic abilities during the integrated design phase.

Semi-structured in-depth interviews with experts were conducted to explore the relevance of empathic abilities and their interaction with performance in a real-life infrastructure project. The project team’s empathy level was measured by means of a survey using Davis’ Interpersonal Reactivity Index method. Finally, differences between expected and measured levels of empathy were analysed.

The results provide insights into how empathic abilities interact with performance. The measurement indicates that, on average, professionals in the civil engineering industry score relatively low on empathy. In addition, differences were identified between the expected distribution and the measured empathy levels of the team, implying a potential for improvement, in particular by increasing the empathic abilities of the project management and increasing gender diversity.

To the best of the authors’ knowledge, this study is the first to investigate a relationship between empathy and the performance of civil engineering projects. The results provide initial insights into the empathic ability of civil engineering project teams and the potential of empathy to improve performance. Furthermore, from an empathy perspective, this study advocates increasing the gender diversity of project teams to improve performance.

The purpose of this paper is to develop a structural relationship model to study the relationship between causes and effects of poor communication and information exchange in construction projects using Smart-PLS.

The first method of this research is to identify the causes and effects factors of poor communication in construction projects from the extant of literature. The data used to develop the model was collected using a questionnaire survey, which targeted construction practitioners in the Malaysian construction industry. A five-point Likert type scale was used to rate the significance of the factors. The factors were classified under their relevant construct/group using exploratory factor analysis. A hypothetical model was developed and then transformed into Smart-PLS in which the hypothetical model suggested that each group of the cause factors has a direct impact on the effect groups. The hypothesis was tested using t-values and p-values. The model was assessed for its inner and outer components and achieved the threshold criterion. Further, the model was verified by engaging 14 construction experts to verify its applicability in the construction project setting.

The study developed a structural equation model to clarify the relationships between causes and effects of poor communication in construction projects. The model explained the degree of relationships among causes and effects of poor communication in construction projects.

The published academic and non-academic literature introduced many studies on the issue of communication including the definitions, importance, barriers to effective communication and means of poor communication. However, these studies ended up only on the general issue of communication lacking an in-depth investigation of the causes and effects of poor communication in the construction industry. The study implemented advanced structural modeling to study the causes and effects. The questionnaire, the data and concluding results fill the identified research gap of this study. The addressed issue is also of interest because communication is considered one of the main knowledge areas in construction management.

The aim of this paper is to explore whether and how external, political, financial and governance factors influence capital expenditure deviations in the Swedish municipal water and sewerage sector and to capture the consequences of municipal organisational fragmentation.

Panel data analysis of 238 municipalities and 1,190 observations of capital expenditure deviations over five years (2013–2017).

Apart from a low overall on average execution rate of 69%, the Swedish municipal water and sewerage sector seems generally sensitive to external stakeholder pressure for budget compliance, but not to the political power situation. Further, political signalling incentives generally do not influence capital expenditure deviations in the contexts of municipal corporations and cooperations, which supports the idea that these governance forms insulate the organisation from general stakeholder pressure and political control.

The practical implication is that large and constant capital expenditure deviations call for change in regulation and governance of the municipal sector. However, in countries such as Sweden, where externalising services to municipal corporations and cooperations is significant, this discussion needs to address the consolidated level of the municipality. Otherwise, a large share of the investment budget will be unscrutinised. More closely related to the Swedish water and sewerage sector, the risks associated with a constantly low execution rate should be analysed and addressed.

First, this paper contributes to the knowledge of aggregated capital expenditure deviations in general and specifically within the municipal water and sewerage sector. Second, analysing the municipal governance landscape adds further insights and suggestions on why budget performance varies. The results especially highlight that the governance forms of corporations and cooperations change the relation to political signalling incentives.

There is a large amount of published literature on project management. However, there exists a gap between the existing literature and current practices in the industry for the development and execution of megaprojects. Existing literature generally focuses on individual elements applicable to project management in general. This article aims to provide an overview of the project management system components used in industrial megaprojects and identify the gaps between theory and practice, which can be used as input for further research on the topic.

The topic of megaproject management is reviewed based on available literature sources on megaproject management systems to identify the main gaps in the literature between theory and practice. Based on the findings, an analysis is provided to discuss the improvements required in distinct project management areas and phases.

There are multiple gaps associated with issues, failures, successes and challenges in industrial megaprojects. Improvements are needed in distinct management areas and over the entire project lifetime. Further guidelines are required for achieving improved megaproject management systems. Such concepts could benefit researchers and practitioners in streamlining their research toward the most relevant and critical areas of improvement of megaproject management systems.

This study addresses the literature gaps between theory and practices on megaproject management systems with an overview that provides helpful guidance for industrial applications and future research. A holistic analysis identifies gaps and critical drives in the body of knowledge, revealing avenues for future research focused on quality as the central pillar that affects the entire megaproject management system.

Construction projects usually suffer delays, and the causes of these delays and its cost overruns have been widely discussed, the weather being one of the most recurrent. The purpose of this paper is to analyze the influence of climate on standard construction work activities through a case study.

By studying the extent at which some weather variables impede outdoor work from being effectively executed, new maps and tables for planning for delays are presented. In addition, a real case regarding the construction of several bridges in southern Chile is analyzed.

Few studies have thoroughly addressed the influences of major climatic agents on the most common outdoor construction activities. The method detailed here provides a first approximation for construction planners to assess to what extent construction productivity will be influenced by the climate.

Although this study was performed in Chile, the simplified method proposed is entirely transferable to any other country, however, other weather or combinations of weather variables could be needed in other environments or countries.

The implications will help reducing the negative social, economic and environmental outcomes that usually emerge from project delays.

Climatic data were processed using extremely simple calculations to create a series of quantitative maps and tables that would be useful for any construction planner to decide the best moment of the year to start a project and, if possible, where to build it.

The purpose of this research is to identify the constraints and restrictions and their impact on the construction projects in Saudi Arabia from three key participants' perspectives for the planning stage.

Using a descriptive-analytical approach, this research described and analyzed the frequency and severity of failure factors in construction projects in the planning stage using a five-Likert scale questionnaire in Saudi Arabia construction between 2019 and 2020. A total of 100 experts from contractors, consultants and owners were included in the study.

The findings have shown that time dispute was the major factor affecting the projects to be failed. Similarly, cost overrun and total abandonment have an impact on project failures. The findings have indicated that government officials were involved in delaying the projects while contractors also failed in the project deliveries.

Further research is needed to investigate the relationship between failure characteristics and project success measures in the same stage, in addition to, factors of failure for construction projects' life-cycle stages.

The findings have indicated that government officials were involved in delaying the projects while contractors also failed in the project deliveries.

There is growing interest in innovative online problem-solving models such as crowdsourcing to serve individuals, firms and the society as a whole. Crowdsourcing is the combination of efforts from various sets of individuals who are either volunteering or working part-time for socioeconomic production, basically in the cyber world. This hybrid work model is already in use by businesses and entrepreneurs; some of the platforms include Amazon mechanical Turk, 99designs, Hit RECORD and Design Crowd.

Much has been parleyed and published, and this is primarily because of the efficient socioeconomic potentials crowdsourcing offers.

This paper addressed the following three questions to help have a better understanding of crowdsourcing: who can perform crowdsourcing? why it is relevant to crowdsource in this present proliferated internet age and if there are going to be some changes in the future and the last but not the least what can be done to promote it in the society?

This paper discusses the three W’s and concludes with challenges facing the crowdsourcing work model.

Busan (Pusan), Korea’s second largest city (population 3.6 million) and fifth busiest port in the world, is experiencing rapidly increasing trade, global connections, events, and resulting infrastructural projects. What should Busan do to better handle the social, political, and economic complexities brought by these changes?

To answer this question, this paper explores the relationship of globalization and culture, as treated by cultural anthropology. It also considers how the tools of applied social science and anthropology can be mobilized to help Busan and the southeast region of Korea deal with these challenges.

After introducing anthropological treatments of culture, globalization and global problems, I discuss how applied social science/anthropology is used in international business/trade, tourism, and transport/logistics, especially the third area. To show how applied social science can help transportation and logistics projects in Busan and Korea, I present lessons from case studies and examples in Denver, Colorado Springs, Chuuk (Truk, South Pacific), and Korea.

Applied social science and applied anthropology present a wealth of helpful methods and insights to help Busan and Korea improve planning, public participation, political, social and environmental issues in transport and logistics projects, and to help prevent ethical and budgetary lapses. Finally, I offer suggestions for initial training programs and future studies to help expedite these goals.

This study adopts an institutional entrepreneurship perspective in the context of public–private partnerships (P3s) to highlight the role of social actors in enacting institutional change in a complex organizational setting. By studying the actions of two prominent social actors, the authors argue that successful institutional change is the result of dynamic managerial activity supported by political clout, organizational authority and the social positioning of actors.

The authors conducted a field-based case study in a complex institutional and organizational setting in Alberta, Canada. The authors employed an institutional entrepreneurship perspective to identify and analyze the activities of two allied actors motivated to transform the institutional environment for public infrastructure delivery.

The empirical study suggests that the implementation of institutional change is both individualistic and collaborative. Moreover, it is grounded in everyday organizational practices and activities and involves a coalition of allies invested in enacting lasting change in organizational practice(s), even when maintaining the status quo seems advantageous.

The authors critique the structural explanations that dominate the literature on public–private partnership implementation, which downplays the role of agency and minimizes its interplay with institutional logics in effecting institutional change. Rather, the authors demonstrate that, given the observed impact of social actors, public–private partnership adoption and implementation can be theorized as a social phenomenon.

Transportation infrastructure asset management has long been an active but challenging problem for agencies, which urges to maintain a good state of their assets but faces budgetary limitations. Managing a network of transportation infrastructure assets, especially when the number is large, is a multifaceted challenge. This paper aims to develop a life-cycle cost analysis (LCCA) based transportation infrastructure asset management analytical framework to study the impacts of a few key parameters/factors on deterioration and life-cycle cost. Using the bridge as an example infrastructure type, the framework incorporates an optimization model for optimizing maintenance, repair, rehabilitation (MR&R) and replacement decisions in a finite planning horizon.

The analytical framework is further developed through a series of model variations, scenario and sensitivity analysis, simulation processes and numerical experiments to show the impacts of various parameters/factors and draw managerial insights. One notable analysis is to explicitly model the epistemic uncertainties of infrastructure deterioration models, which have been overlooked in previous research. The proposed methodology can be adapted to different types of assets for solving general asset management and capital planning problems.

The experiments and case studies revealed several findings. First, the authors showed the importance of the deterioration model parameter (i.e. Markov transition probability). Inaccurate information of p will lead to suboptimal solutions and results in excessive total cost. Second, both agency cost and user cost of a single facility will have significant impacts on the system cost and correlation between them also influences the system cost. Third, the optimal budget can be found and the system cost is tolerant to budge variations within a certain range. Four, the model minimizes the total cost by optimizing the allocation of funds to bridges weighing the trade-off between user and agency costs.

On the path forward to develop the next generation of bridge management systems methodologies, the authors make an exploration of incorporating the epistemic uncertainties of the stochastic deterioration models into bridge MR&R capital planning and decision-making. The authors propose an optimization approach that does not only incorporate the inherent stochasticity of bridge deterioration but also considers the epistemic uncertainties and variances of the model parameters of Markovian transition probabilities due to data errors or modeling processes.