Disaster recovery has been studied from a variety of perspectives including the fields of sociology, engineering, policy implementation, political-ecology, systems theory, geography, and urban planning, leading to a wide variety of definitions and indicators for measuring recovery. To assess what indicators can be used to measure both predisaster resilience and postdisaster recovery, an in-depth content analysis of recovery indicators in the existing literature was performed. Articles from 2000 to 2010 in four disaster-focused journals that include perspectives of engineers, social scientists, practitioners, and economists were analyzed. Articles were selected by a keyword search and analyzed for recovery indicators using an emergent coding scheme. Interestingly, many research articles never defined recovery. Recovery indicators were categorized as social, economic, environmental, and infrastructural. The indicators cited were analyzed based on the disciplinary affiliation of the author. Authors f...

Effective safety communication between all parties in a construction project is essential for optimal safety performance. Literature suggests that open safety communication across all levels of the organization enhances safety success. Previous studies have found that open communication and frequent interaction between employees and supervisors differentiate construction companies that have low accident rates from companies that have high rates. Through interviews with construction crew members on active construction projects in the Rocky Mountain region of the US, the patterns of safety communication were identified, modelled, and quantified. Social network analysis (SNA) was utilized to obtain measures of safety communication such as centrality, density, and betweenness within small crews and to generate sociograms that visually depicted communication patterns within effective and ineffective safety networks. A cross-case comparison revealed that the frequency and method of communication are important differentiators between project teams with low and high accident rates. Specifically, top performing crews: (1) have formal safety communication from management on at least a weekly basis; (2) have informal safety communication on a weekly basis; (3) undergo formal safety training; and (4) use all proposed safety communication methods on a monthly basis. In addition, typical SNA metrics, including density, centrality and betweenness, are not significant parameters to distinguish high from low performing crews.

Knowledge management initiatives have proliferated in recent years because of the desire to have employees share their knowledge throughout the organization. However, in practice, many of these initiatives fail to achieve their initial goals. Because knowledge fundamentally resides with people, knowledge management research and initiatives must move from a focus on macrolevel variables at the organizational level to include an understanding of microlevel variables at the individual level of why employees engage in these knowledge management initiatives. This research aims to understand participation in organizational knowledge sharing by identifying and exploring the reasons why employees share their knowledge. This is done through qualitative case studies with 48 employees in 13 multinational engineering, construction, and real estate development firms. Using an embedded unit of analysis of knowledge sharing motivations of employees, a qualitative analysis revealed four primary factors related to...

Research in construction is often confronted with a trade-off of selecting either in-depth studies of small-N cases, which may affect generalization of findings, or statistical large-N studies, which may limit examination of causal links. Qualitative comparative analysis (QCA) provides a middle ground between these options, allowing researchers to analytically determine different combinations of conditions that produce an outcome in comparative studies. QCA has been applied extensively in other fields; however, the method has only recently started to gain traction in construction research. Guidance on the implementation of QCA is provided, including: a description of the method and its variants; stages required for its application; its benefits and critiques; applications in the construction field; and recommendations for scholars employing the method. QCA is a promising approach for probing causal links via investigations between variable-based, large-N analyses and qualitative, case-based, small-N studies. However, researchers must not use the method in haste or simply to obtain quantitative results from qualitative data. It requires significant time and rigour to determine and justify the conditions, outcomes and cases used in its application. QCA is well suited for research where interactions between conditions and outcomes are not well understood and can be used to build theory in the complex environment of construction.

Projections for future demand in infrastructure and buildings indicate that there will be increasing opportunities for firms to engage in construction projects around the world. However, international construction projects also face numerous uncertainties. Foreign firms engaged on these projects must work in unfamiliar environments, with differing regulations, norms, and cultural beliefs. This can increase misunderstandings and risks for the entrant firm. To reduce these risks, successful international firms strategically increase their understanding of the local area by collecting knowledge that is important for a given foreign project. This study compiles and analyzes data from 15 case studies of three types of international firms (developers, contractors, and engineers) engaged in international infrastructure development to identify the types of institutional knowledge that informants indicate are important for their international projects. Using institutional theory, we categorize the kinds of knowled...