Planning, estimating and control management functions as performed by Portuguese construction companies were studied. For this purpose, inquiries were made into the way a set of Portuguese contractors carried out these tasks, with special reference to planning, estimating and the preparation of data for control during the pre-contract stage. There is a lack of integration among those functions in the current practice of companies surveyed. This is a problem that companies would like to see solved. Data systems analysis was used to tackle the problem. It was concluded that there is no functional dependency between planning and estimating in most construction projects. This is especially due to the form in which. data is structured in the basic documents currently used for those functions (the bill of quantities for estimating and the construction programme for planning). A possible integrated approach to planning and estimating is suggested by considering construction works assigned both to the items of the bill of quantities and to the activities of the construction programme. This facilitates the preparation of data for control on site because costs and time are closely related in this approach. A model for the integration of planning and estimating management functions during the pre-contract stage of construction projects is presented. The model also enables one to achieve efficient preparation of data for control on site. Computer support for the model is also presented. This is based on a Database Management System which provides for an adequate environment for the model. The model was tested in some Portuguese construction companies, and led to satisfactory results. Those companies highlighted the advantage of building up the model upon a relational database which makes data manipulation and retrieval easier and allows for integration among management functions.

This dissertation investigates the latent but critical effects of risk attitude on competitive success in construction applying an evolutionary approach. The approach considers contractors as individual entities competing with each other for common job opportunities, and competition as an evolutionary process in the market. In construction, competitive bidding is the major mechanism of competition. Bidding itself is an important managerial function in a construction organization while it is risky since the actual cost of a job is unknown. Therefore, contractors' risk-taking in competition is an essential element in the construction business. Individuals may behave differently in competition depending on their own risk attitude which defines what risks can be accepted or not in an organization. Depending on the differences in risk-taking, the result of a competition varies. How contractors compete, that is, how they take risks in competition affects the competition among themselves. Also, contractors' performance is differentiated through competition to decide successful firms and unsuccessful firms. The current study investigates the effects of risk attitude, which is the latent basis for contractors' different behaviors in competition. The current investigation is unique in that it combines: 1) an evolutionary approach; 2) behavioral decision-making under uncertainty; 3) multi-level analyses from the individual to the aggregate; and 4) a long-term perspective on firms' success and life-cycles (birth, death, survival, growth, contraction, and market diversification). The developed evolutionary model simulates and analyzes competition among contractors in the competitive bidding environment. A new method is proposed to represent contractors' different risk-taking behaviors depending on their own risk attitude. The analysis accounts for contractors' differences in risk-taking, their performances through competition, and corresponding organizational changes in life-cycles at the individual level, and aggregate patterns evolving at the population level as resultants of competition over long time periods. The study finds that risk attitude is a latent but dominant competitive characteristic of contractors by identifying the critical effects of risk attitude on competitive success. The results provide new insights on competition and recommendations for contractors' competitive success, which are not available using conventional approaches.

This research was prompted by the apparent lack of innovation in the South African construction industry. The aim was to obtain a better understanding of the state of innovation. The strategy involved engaging construction contractors in the mining industry to obtain information regarding their view of innovation in the construction industry. Data was collected following a mixed-method strategy. A literature review, interviews, a focus group and questionnaires formed part of the data-gathering strategy. A number of findings emerged from the study, notably that innovation is important for a contractor to facilitate differentiation, and to be more competitive. The industry has high levels of competition and low entry barriers. Relationships are complex, with clients demanding complex structures to operate at low cost and within tight schedules. Levels of investment in research and development (R&D) are generally low. There are not enough experienced and trained role-players, and the level of trust between role-players needs to be strengthened. Cooperation between industry and academics, and investment in R&D is insufficient. Government focuses too much on the empowerment of previously disadvantaged individuals, ignoring the innovation history and experience of potential contractors, which means that contractors are not motivated to be innovative. As a legislator, government is viewed as hampering innovation by not ensuring that the training of artisans is up to standard, by enforcing labour laws which do not allow for the easy transfer of skilled employees, and by neglecting to assist underperforming apprentices in improving their skills. / Dissertation (MSc)--University of Pretoria, 2014. / gm2014 / Construction Economics / unrestricted