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Knowledge management presents a problem for the architecture, engineering and construction (AEC) industry, largely because of the industry’s fragmented structure and project-driven nature. Construction companies may be involved in a variety of projects in different locations, each having its own knowledge requirements. Companies are also expected to be competitive, flexible and innovative, but introducing new knowledge management systems (KMSs) may represent a change that is beyond the organisation’s capacity to undergo successfully, and thus becomes a “nightmare”. The purpose of this paper is to propose and test a KMS solution that can help to facilitate the capture and application of important knowledge without introducing unnecessary changes in internal procedures for the organisation.

Following a review of existing systems, and an interview survey of 22 managers in the Portuguese AEC industry (contractors, design consultants and project management consultants) a new IT-based construction KMS called ConstruKnowledge was developed. The KMS was tested, verified and validated in two Portuguese construction projects and assessed by 12 managers in the construction company undertaking those projects.

The results of two pilot tests using ConstruKnowledge in two Portuguese construction projects demonstrate that its use can raise the levels of confidence in decision-making, and retaining knowledge; and that it serves to add value to the company.

The Construknowledge KMS is an innovative contribution to the greater acceptance of KMSs in the construction industry. The system facilitates the effective and efficient development of an organisational KMS using basic Information and Communications Technology (ICT)-based collaboration tools. While undertaken in the context of the Portuguese industry, the KMS has a wider global potential for implementation and further development.

The originality and value of this research are that it demonstrates how a KMS can be developed and then used in a construction company to capture and share knowledge without introducing additional constraints.

Complex projects require careful management. They may expose stakeholders to greater risks and place additional demands upon resources. In the initial stages of project development, however, little may be known about the nature and magnitude of such complexity. This paper aims to ensure that this gap is at least subjectively assessed and addressed.

Research, using focus group workshops with a convenience sample of construction professionals, was carried out to test the validity of a Project Early Stage Complexity Assessment Tool (PESCAT). The PESCAT concept brings together selected complexity theories and uses subjectively based measures for assessment.

The findings confirm that an early-stage project complexity assessment tool is practicable and can contribute to project management practice in the construction industry. It should be applied by individual project stakeholders using small teams of experienced staff. PESCAT explores project complexity through “filter” sets of perspective factors which should be customised to reflect the stakeholder’s role and processes in a project.

In the initial complexity assessment model, resolution space and uncertainty were tested as project complexity parameters. However, in subsequent versions of the tool, four measures (differentiation and differentiation uncertainty; interdependency and interdependency uncertainty) are used in an innovative way that focuses users’ attention more clearly and points to a more targeted approach for addressing project complexity. The value of our model lies in its practical application and the project management benefits it can deliver.

The purpose of this paper is to study the nature of request for information (RFIs) on construction projects by using data analytics to understand the frequency of RFIs, when they occur on projects, and the relationship between project characteristics and frequency of RFIs and between project characteristics and RFI turnaround time.

A data-analytic approach using RStudio and Minitab software on 168 construction project cases in Australia and New Zealand involving 1,032,949 correspondences and 53,042 RFI event records made available by Aconex, one of the world largest cloud-based project management platform.

Large and complex projects tend to have significantly larger number of RFI events per day and longer RFI turnaround when compared with smaller and less complex projects. Projects with fewer users per organisation recorded a higher RFI turnaround time when compared with projects with more users per organisation – users mean persons involved in managing the project using the online platform (an index of project complexity). RFIs occur early on less complex projects and occur later on more complex projects.

Benchmarks of RFI incidences and turnaround time have been developed for various project characteristics and, practitioners can use them to monitor the RFI performance of projects. Organisations need to pay greater attention to staffing levels needed to handle RFIs to reduce RFI turnaround time.

A data-analytic study of RFI yielded insights for managing RFIs. The findings of previous studies on RFIs are difficult to generalise because they are based on single project case study. The influence of project characteristics on RFI frequency and RFI turnaround time is not yet known.

Price reliability for complex and highly complicated infrastructure projects is problematic. Traditional project delivery approaches generally fail in achieving targeted end cost reliability. However, integrated project delivery (and particularly Alliancing), develop a far more reliable and robust project delivery plan and outturn time-cost targets. This paper aims to explore why this may be the case.

This case study investigated the project design, planning, cost/time estimation approach and how risk/uncertainty was dealt with. Five senior project delivery experts from an organisation that delivers multi-billion-dollar infrastructure projects in Australia were interviewed. These five experts collectively had 100+ cross-disciplinary experience years delivering complex infrastructure projects.

Alliancing adopts a radically different approach to project design, time/cost planning and risk assessment and management to traditional project delivery approaches. Key findings explain how the project alliance agreement designs-in processes that maximises team integration and collaboration. Analysis concludes that design thinking is used to craft and shape collaborative behaviours and project governance. Additionally, including project owner and facilities operator representatives in the project team adds valuable insights, expertise and knowledge contributing to planning reliability.

This study is exploratory and focussed on complex infrastructure projects so findings cannot be generalised.

We unpack Alliancing processes that develop the target outturn cost plan, comprising a holistic and realistic plan to design a project to meet expected project outcomes. This case study may serve as an exemplar for complex project delivery.

This paper illustrates how Alliancing more effectively delivers best value than traditional procurement approaches through its TOC-TAE processes.

The paper contributes to the scant existing academic literature analysing these processes. Its novel contribution is explaining how Alliancing treats unexpected events that in traditional delivery forms trigger expensive and time-energy-wasting disputation. This case study may serve as an exemplar for complex project delivery.

This paper aims to present the results of a post‐occupancy evaluation (POE) in a complex hospital building, and also to discuss a system for analyzing and diagnosing those results.

The POE was aimed at establishing adequate use and maintenance of the building. The main approaches of the study consisted of two basic performance features, namely, physical accessibility and fire safety.

The importance of the pre‐design evaluation (PDE) might also be recalled as well as the usefulness of the POE for new designs and for remodeling existing buildings, because these instruments aid in the constant updating of directive plans of occupation, especially in the case of large complexes such as health care facilities. One indication of this importance is the relatively low number of problems detected during the POE, when one considers the complexity of the work of renovation and the dimensions of the IPq facilities.

The paper presents the results of a POE and recommendations that would make it possible to quickly identify the points where there is need for improvement, and the degree of importance or priority to be given.

The purpose of this study is to verify whether managers’ strategic orientation influences decision-making related to differentiation and whether these two factors impact on the performance of the firms in the Brazilian wine industry.

A survey was conducted with representatives from 123 wineries located in the following Brazilian states: 78.86 per cent in Rio Grande do Sul; 13.01 per cent in Santa Catarina; 2.44 per cent in Paraná; 2.44 per cent in São Paulo; 1.63 per cent in Bahia; and 1.63 per cent in Pernambuco. The data were analyzed using multivariate statistical techniques, resulting in a structural equations model of the constructs.

The research findings show that there is a positive association between prospector orientation and differentiation. Analyst positioning was negatively associated with differentiation of winery companies. It was also possible to show that differentiation has a positive relationship with performance.

While a previous study attempted to identify wineries’ strategic orientation using other theoretical constructs, this study makes a contribution to consolidating reflections on strategic orientation focused on differentiation and performance. The results contribute to expanding the scientific debate by filling a gap in existing theory and also provide information of use to decision-makers, demonstrating, which approaches improve differentiation, and hence, performance.

The purpose of this paper is to study the impact of the real exchange rate on investment in the Brazilian manufacturing industry.

The authors develop an investment model that considers the effect of changes in the real exchange rate, taking into account that the effect of the real exchange rate on the Brazilian manufacturing investment operates through demand and cost channels. The composition of these effects varies across manufacturing sectors, with different repercussions on investment decisions, depending on sectoral characteristics. A panel data analysis is applied to estimate the model for the Brazilian manufacturing sectors from 1996 to 2010.

One main result is that the responsiveness of the Brazilian manufacturing investment to real exchange rate varies considerably across manufacturing sectors. Overall, the results contribute to a better understanding of the relationship between exchange rate dynamics, manufacturing investment and industrial development, thus unveiling important empirical elements for the debate on industrial policies to stimulate manufacturing investment and production.

As the (scant) empirical literature on real exchange rate and investment in Brazil has invariably been using aggregate data, this paper contributes to the literature by obtaining sectoral estimates of the responsiveness of manufacturing investment to exchange rate fluctuations that further the understanding of the complex relationship between these economic variables.

Disaster management practices depend on societies' knowledge. As climate change rapidly reshapes knowledge, questions arise about how knowledge for disaster management is produced and (re)shaped in modern world and how effective it is to withstand the ever-growing frequency and magnitude of disasters. This paper discusses the dynamics of knowledge creation and its use for disaster management in Chokwe district, southern Mozambique.

The study reviews historical archives to identify how disaster management knowledge has changed from pre-colonization to the present.

Before colonization, local knowledge associated with traditions of asking gods and ancestors for rain and blessings in life prevailed. With colonization, around the 1500s, Portuguese rulers attempted to eliminate these local practices through an inflow of European settlers who disseminated scientific knowledge, built dams and irrigation schemes, which changed the region’s knowledge base and regimes of flooding and drought. After independence in 1975, the new government nationalized all the private property, expelled the settlers and imposed a socialist order. All knowledge on disaster management was dictated by the new government; those against this new order were sent to re-education centers implanted nationwide. Centralization of knowledge and power was, therefore, implanted. Socialism collapsed by the 1990s, and over time, there has been an amalgam of different knowledge bases and attempts to recognize local disaster management practices.

The Chokwe case shows that knowledge for disaster management evolves with local socioeconomic, political and environmental changes.