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

Peter E.D. Love, Lavagnon A. Ika, Jeffrey K. Pinto

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1940-1949
Number of pages10
JournalIEEE Transactions on Engineering Management
Volume71
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Electrical and Electronic Engineering

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