Article title: The Empirical Reality of IT Project Cost Overruns: Discovering A
Power-Law Distribution
Authors: Flyvbjerg, B., Budzier, A., Lee, J. S., Keil, M., Lunn, D., & Bester, D. W.
Journal: Journal of Management Information Systems
Bibliometrics: Volume 39, Number 3, pages 607-639
DOI: https://doi.org/10.1080/07421222.2022.2096544
A footnote 12 has been included in the section Fitting the Tail, existing footnotes are renumbered accordingly and the article is re-published online.
The new footnote 12 text is listed below:
The total sample size of the projects for which we had values for cost overrun was n = 4,677. n = 1870 for cost overrun > 1. n = 495 for cost overrun > 2. The 26.5% are calculated based on data points with cost overrun > 1 (i.e. 495/1870 = 0.2647).