Classifying influential for project information to discover rule sets for project disputes and possible resolutions

Jui Sheng Chou, Shu-Chien Hsu, Chih Wei Lin, Yu Chen Chang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1706-1716
Number of pages11
JournalInternational Journal of Project Management
Volume34
Issue number8
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • Data mining
  • Project dispute
  • Project management
  • Public–private partnership

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation

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