Kaklauskas, Arturas, Amaratunga, Dilanthi and Lill, Irene (2010) The Life Cycle Process Model for Efficient Construction Manager: Conceptual Modelling at the level of Personality and at Micro, Meso and Macro Levels. In: The Construction, Building and Real Estate Research Conference of the Royal Institution of Chartered Surveyors, 2-3 September 2010, Dauphine Université, Paris,.

The problem is how to define the life cycle of an efficient construction manager when a lot
of various stakeholders are involved in his activities, when alternative versions of construction
management come to hundreds of thousands and when the efficiency changes with the alterations in
the personality traits, the micro, meso and macro conditions and the constituent parts of the process in
question. Formalized presentation of the research shows how changes in the personality traits, micro,
meso and macro environment and the extent to which the goals pursued by various stakeholders are
satisfied cause corresponding changes in the value and utility degree of a construction manager life
cycle. For that purpose, we need to analyse versions of a construction manager life cycle, because such
analysis helps to find an optimal combination of factors related to the personality and micro, meso and
macro environment. The more alternative versions are investigated before making a final decision, the
greater is the possibility of a more rational end result. Using the available information it is possible to
perform the multiple criteria analysis of the components of a construction manager life cycle and to
select the most efficient versions. Afterwards, the resulting compatible and rational components are
combined into the alternatives of a construction manager life cycle. Following the multiple criteria
analysis of the alternatives obtained in this way, the most efficient alternatives can be selected.
Strengths and weaknesses of investigated alternatives are also analysed. The facts determining why
and to what extent one version is better than the other are also established. All analyses are based on
conceptual and quantitative information.

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