In recent years, we have been able to observe a dynamic development of MCDA (multi-criteria decision analysis) methods, which have become widely used in various sectors, including construction. These methods are characterised by simplicity and one of their key advantages is their simple modelling of non-linear dependencies within decision problems and their analysis under the conditions of incomplete, uncertain and hard-to-measure information. The universality and simple use of these methods does not, however, free the decision-maker from the necessity to adopt the proper approach to modelling and analysing specific decision problems. To highlight the fact that it is the character of the problem that should determine the selection of the method of analysing it and not the other way around, the authors assessed the AHP (Analytic Hierarchy Process) and the ANP (Analytic Network Process) method in terms of verifying the impact of the different decision model structures on analysis outcomes and analysed their sensitivity to input data changes. This analysis was based on the example of selecting a telecommunications tower footing reinforcement alternative. The findings confirmed the significant impact of decision model structure on the ranking of the analysed alternatives.

This paper investigates the fact that construction projects, due to their specificity, are complex, temporary and dynamic. Over their course, participants change, successive construction works are done and new information becomes available. This carries over to difficulties in communication. In the literature, numerous studies note the fact that a network-based approach to the analysis and monitoring of communication as a part of complex construction projects is commendable. Relations between agents, knowledge and tasks in the context of communication within a construction project can be visualized in the form of a meta-network, and suitably developed structural measures can be used to analyze them.
In this paper, the authors used meta-network theory to analyze relations between project participants, knowledge and tasks in the context of communication within a construction project, on the basis of the construction of a housing estate located in Katowice, Poland. Meta-network structural analysis allowed for a deeper understanding of these relations and the detection of essential information about the level of communication in the project under investigation, which was a basis for further discussion. The authors also stress the benefits from the approach presented and argue that it should be a starting point for effective management in the sphere of communication in construction companies.

Communication and information flowduring construction project execution is often discussed in the literature. Numerous scholars note the presence of problems with communication and information flow and highlight that these problems also affect construction project completion time and cost. The vast majority of studies on the impact of communication on construction project completion time and cost takes on a qualitative character and there is a lack of quantitative analyses of this subject. To address these deficiencies, the authors of this paper propose a quantitative approach to assessing communication between construction project participants in the aspect of its impact on said project’s completion time and cost. The authors used meta-network theory to model and analyse the problem, as it can fully depict the problem’s complexity. The method proposed allows for dynamic identification of key information flow paths between project participants, which determine its performance in an essential way. The proposed approach can support decision-makers in effective management of communication between a construction project’s participants, which has a positive carryover to achieving planned project goals. The method was tested on a real-world development project that featured the construction of a housing complex in Katowice, Poland.

In the literature, researchers present construction projects as temporary self-organising coalition networks, composed of specialist entities that work towards set goals. The number of parties involved in the various processes during construction causes communications relations to be exceedingly complex and to change. The environment of a construction project is dynamic and complex, and self-organising communication networks are sensitive to institutional and social change. It becomes necessary to identify situations rooted in both insufficient communication during the carrying out of a project and its excess, which generates unnecessary cost. Effective control of information flow within self-organising communication networks through its planning and monitoring by project management can contribute to achieving project goals. This paper presents a proposal of an optimisation approach (in terms of minimising communication costs) to information flow planning that accounts for various constraints, on the example of a real-world case of building a housing complex in Poland.