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

doi:10.1016/j.ijproman.2016.10.001

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 publication › Journal article › Academic research › peer-review

40 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 language	English
Pages (from-to)	1706-1716
Number of pages	11
Journal	International Journal of Project Management
Volume	34
Issue number	8
DOIs	https://doi.org/10.1016/j.ijproman.2016.10.001
Publication status	Published - 1 Nov 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Data mining
Project dispute
Project management
Public–private partnership

ASJC Scopus subject areas

Business and International Management
Management of Technology and Innovation

More information

10.1016/j.ijproman.2016.10.001

http://hdl.handle.net/10397/101296

Cite this

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title = "Classifying influential for project information to discover rule sets for project disputes and possible resolutions",

abstract = "However, disputes may occur during a contract management. This paper investigates various public{\textendash}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{\textendash}private partnership",

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AU - Chou, Jui Sheng

AU - Hsu, Shu-Chien

AU - Lin, Chih Wei

AU - Chang, Yu Chen

PY - 2016/11/1

Y1 - 2016/11/1

N2 - 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.

AB - 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.

KW - Data mining

KW - Project dispute

KW - Project management

KW - Public–private partnership

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U2 - 10.1016/j.ijproman.2016.10.001

DO - 10.1016/j.ijproman.2016.10.001

M3 - Journal article

SN - 0263-7863

VL - 34

SP - 1706

EP - 1716

JO - International Journal of Project Management

JF - International Journal of Project Management

IS - 8

ER -

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

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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