Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects

Large-scale infrastructure projects tend to experience variances between estimated and final costs. Governments, in response, have been using statistical methods (including probabilistic approaches) such as reference class forecasting to try and mitigate cost overruns. While helpful in accommodating...

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Main Authors: Love, Peter, Ika, L.A., Pinto, J.K.
Format: Journal Article
Published: 2022
Online Access:http://hdl.handle.net/20.500.11937/90147
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author Love, Peter
Ika, L.A.
Pinto, J.K.
author_facet Love, Peter
Ika, L.A.
Pinto, J.K.
author_sort Love, Peter
building Curtin Institutional Repository
collection Online Access
description Large-scale infrastructure projects tend to experience variances between estimated and final costs. Governments, in response, have been using statistical methods (including probabilistic approaches) such as reference class forecasting to try and mitigate cost overruns. While helpful in accommodating risk, such statistical methods often fail to account for a project's cost uncertainty. To reduce cost variance under uncertainty, it is necessary to use heuristics when formulating an infrastructure project's cost contingency. This article argues a need to adopt a vision of human nature described as Homo heuristicus (heuristics-using-person). We provide awareness and rationale for developing an “adaptive toolbox” of heuristics for ecologically rational and contextually aligned cost contingency decision-making. However, the selection, recognition, and evaluation heuristics for determining cost uncertainty have yet to be examined. Thus, future research is required to cultivate the heuristics needed to address the uncertainty that surrounds the determination of a cost contingency.
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spelling curtin-20.500.11937-901472024-05-24T09:33:38Z Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects Love, Peter Ika, L.A. Pinto, J.K. Large-scale infrastructure projects tend to experience variances between estimated and final costs. Governments, in response, have been using statistical methods (including probabilistic approaches) such as reference class forecasting to try and mitigate cost overruns. While helpful in accommodating risk, such statistical methods often fail to account for a project's cost uncertainty. To reduce cost variance under uncertainty, it is necessary to use heuristics when formulating an infrastructure project's cost contingency. This article argues a need to adopt a vision of human nature described as Homo heuristicus (heuristics-using-person). We provide awareness and rationale for developing an “adaptive toolbox” of heuristics for ecologically rational and contextually aligned cost contingency decision-making. However, the selection, recognition, and evaluation heuristics for determining cost uncertainty have yet to be examined. Thus, future research is required to cultivate the heuristics needed to address the uncertainty that surrounds the determination of a cost contingency. 2022 Journal Article http://hdl.handle.net/20.500.11937/90147 10.1109/TEM.2022.3170474 fulltext
spellingShingle Love, Peter
Ika, L.A.
Pinto, J.K.
Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title_full Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title_fullStr Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title_full_unstemmed Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title_short Homo Heuristicus: From Risk Management to Managing Uncertainty in Large-Scale Infrastructure Projects
title_sort homo heuristicus: from risk management to managing uncertainty in large-scale infrastructure projects
url http://hdl.handle.net/20.500.11937/90147