With risk defined as the possibility of deviation in the results from the expected goals, business process reengineering (BPR) initiatives clearly involve risk taking. However, due to the high expected returns of such efforts, the acceptable risk levels of BPR will tend to be greater than those of less ambitious projects. This research reports the development of a tool to quantitatively estimate the potential risk level of a BPR effort before an organization commits its resources to that effort. The underlying research employed a survey of BPR‐experienced organizations to collect assessment information in order to build a BPR risk estimation model. The developed tool uses triangular fuzzy numbers to approximate the degree of success/failure of proposed BPR initiatives. The tool can be applied by any organization contemplating BPR, thus giving such organizations a heretofore unavailable estimate of the risk level of proposed BPR efforts. Validation was performed based upon an 18‐month BPR project conducted at the Missouri Lottery.
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1 December 2002
Editors
Elena-Madalina Vatamanescu
Elena-Madalina Vatamanescu
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Research Article|
December 01 2002
Quantitative risk level estimation of business process reengineering efforts Available to Purchase
Thomas J. Crowe;
Thomas J. Crowe
Department of Industrial and Manufacturing Systems Engineering, University of Missouri, Columbia, Missouri, USA
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Pekying Meghan Fong;
Pekying Meghan Fong
Advanced Micro Devices, Inc., Sunnyvale, California, USA
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Todd A. Bauman;
Todd A. Bauman
Missouri Lottery, Jefferson City, Missouri, USA
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José L. Zayas‐Castro
José L. Zayas‐Castro
Department of Industrial and Manufacturing Systems Engineering, University of Missouri, Columbia, Missouri USA
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Publisher: Emerald Publishing
Online ISSN: 1758-4116
Print ISSN: 1463-7154
© MCB UP Limited
2002
Business Process Management Journal (2002) 8 (5): 490–511.
Citation
Crowe TJ, Meghan Fong P, Bauman TA, Zayas‐Castro JL (2002), "Quantitative risk level estimation of business process reengineering efforts". Business Process Management Journal, Vol. 8 No. 5 pp. 490–511, doi: https://doi.org/10.1108/14637150210449148
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