2018
DOI: 10.7166/29-1-1680
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Client Project Time Schedule Controls — An Empirically-Based System Dynamics Conceptual Model

Abstract: Different project participants often have different objectives and expectations, and implement different controls aimed at advancing their interests. This article investigates project controls taken by the client during the project design stage to improve project time schedule performance. Dynamic hypotheses and a System Dynamics conceptual model of client controls and their ripple effects are formulated in this article from a combination of the existing literature, mental models of project managers gathered t… Show more

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Cited by 4 publications
(14 citation statements)
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References 22 publications
(78 reference statements)
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“…Project managers (the client, engineering consultant, and construction contractor) take a number of project controls aimed at minimising poor project performance. However, some of their efforts tend to be in vain, as their decisions and actions quite often generate some unintended and counteractive effects that worsen the project performance [12] [13] [14] [15]. This is as a result of the dynamic complexity nature of project controls [14] [16] [17]; hence the use of system dynamics in this article, consistent with the recommendations of Sterman [17] and Forrester [18].…”
Section: Introductionmentioning
confidence: 62%
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“…Project managers (the client, engineering consultant, and construction contractor) take a number of project controls aimed at minimising poor project performance. However, some of their efforts tend to be in vain, as their decisions and actions quite often generate some unintended and counteractive effects that worsen the project performance [12] [13] [14] [15]. This is as a result of the dynamic complexity nature of project controls [14] [16] [17]; hence the use of system dynamics in this article, consistent with the recommendations of Sterman [17] and Forrester [18].…”
Section: Introductionmentioning
confidence: 62%
“…The first stage is an embedded multiple-case study [27] [28] that results in the formulation of a system dynamics conceptual model of client project cost controls and associated unintended effects. Non-project-specific qualitative data were gathered from a purposefully-selected major South African engineering consulting firm that focuses on infrastructure projects, as was the case in the study of Chitongo and Pretorius [12]. The non-project-specific data were gathered from multiple sources of evidence (triangulation) to enhance the construct validity of the case study [28].…”
Section: Methodsmentioning
confidence: 99%
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