Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101296
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Title: Classifying influential information to discover rule sets for project disputes and possible resolutions
Authors: Chou, JS
Hsu, SC 
Lin, CW
Chang, YC
Issue Date: Nov-2016
Source: International journal of project management, Nov. 2016, v. 34, no. 8, p. 1706-1716
Abstract: Public–private partnership (PPP) is a strategy where governments encourage private institutions to financially support public construction projects, by providing proper incentives based on collaboration with private institutions. However, disputes may occur during a contract management. This paper investigates various public–private partnership (PPP) disputes and their critical influential factors for associating fundamental project information and dispute resolutions. In this study, knowledge is extracted from the association rules so that dispute handling patterns can be identified from historical database. Analytical results show that the rule sets achieve 83.92% confidence level. By applying the results in practice, project managers can determine the likely method for dispute resolutions with known project attributes, dispute items, and the phase in which a dispute occurs. This research demonstrates an effective application and valuable reference for early notice of dispute handling methods in public infrastructure projects.
Keywords: Data mining
Project dispute
Project management
Public–private partnership
Publisher: Pergamon Press
Journal: International journal of project management 
ISSN: 0263-7863
EISSN: 1873-4634
DOI: 10.1016/j.ijproman.2016.10.001
Rights: © 2016 Elsevier Ltd. APM and IPMA. All rights reserved.
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Chou, J. S., Hsu, S. C., Lin, C. W., & Chang, Y. C. (2016). Classifying influential information to discover rule sets for project disputes and possible resolutions. International Journal of Project Management, 34(8), 1706-1716 is available at https://doi.org/10.1016/j.ijproman.2016.10.001.
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