Developing a program organization performance index for delivering construction megaprojects in China: Fuzzy synthetic evaluation analysis

Yi Hu, Ping Chuen Chan, Yun Le, Yelin Xu, Ming Shan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

76 Citations (Scopus)

Abstract

The emergence of construction megaprojects has become a global phenomenon over the last two decades as a result of rapid urbanization. Program management has been increasingly promoted as a vital approach for ensuring megaproject success through the coordinated management of the dispensed execution of a program at the organizational level. Nevertheless, practicing this method in construction megaprojects is a continual improvement process that requires relevant guidelines and tools. This study proposes an innovative tool to evaluate a structured program organization in conjunction with the fuzzy synthetic evaluation method. Based on determinants of program organization identified from a Delphi survey previously conducted by authors regarding the Shanghai Expo construction, combined with results of further Delphi surveys for the same project, the use of this new evaluation approach in the case project is illustrated step-by-step. With this tool, clients can better utilize the program management approach in their organizational design and improvement, and the organizational effectiveness for delivering megaprojects can be improved constantly.
Original languageEnglish
Article number05016007
JournalJournal of Management in Engineering
Volume32
Issue number4
DOIs
Publication statusPublished - 1 Jul 2016

Keywords

  • China
  • Construction megaproject
  • Fuzzy synthetic evaluation
  • Program organization

ASJC Scopus subject areas

  • Industrial relations
  • General Engineering
  • Strategy and Management
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'Developing a program organization performance index for delivering construction megaprojects in China: Fuzzy synthetic evaluation analysis'. Together they form a unique fingerprint.

Cite this