DocumentCode :
1973073
Title :
Managing optimism biases in the delivery of large-infrastructure projects: A corporate performance benchmarking approach
Author :
Siemiatycki, Matti
Author_Institution :
Dept. of Geogr., Univ. of Toronto, Toronto, ON, Canada
fYear :
2008
fDate :
10-12 Nov. 2008
Firstpage :
1
Lastpage :
6
Abstract :
Optimism bias has been a considerable challenge in the planning and delivery of public services, particularly infrastructure mega projects. This has resulted in consistently underestimated costs and overestimated benefits, as well as delivery delays. This paper explores whether innovative mechanisms of collecting and publicly disseminating information about the performance of government contractors on past projects can contribute to improving the success rate of future initiatives. Drawing on international examples from North America, Europe and Asia, it is argued that the production of widely available league tables of corporate performance will have two key benefits. First, public sector procurement managers will have greater information with which to select companies with a strong reputation of successfully planning and delivering similar projects. Second, with performance rankings being used by decision-makers as part of the criteria to select future tenders, private sector partners will have greater incentive to challenge the institutional forces that cause optimism biases.
Keywords :
decision making; organisational aspects; planning; procurement; project management; public administration; corporate performance benchmarking approach; decision-makers; government contractors; infrastructure mega projects; large-infrastructure projects; optimism bias management; planning; public sector procurement; public services delivery; Asia; Companies; Delay; Europe; Government; North America; Planning; Procurement; Production; Project management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA), 2008 First International Conference on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-6887-4
Type :
conf
DOI :
10.1109/INFRA.2008.5439642
Filename :
5439642
Link To Document :
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