Measuring the complexity of mega construction projects in China-A fuzzy analytic network process analysis

Qinghua He, Lan Luo, Yi Hu, Ping Chuen Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

117 Citations (Scopus)

Abstract

Mega construction projects in China are usually very complicated in nature, thus evaluating and understanding these complexities are critical to the success of these megaprojects. However, empirical studies related to the measurement of the complexity of megaprojects remain lacking. This paper aims to fill this gap by developing a complexity measurement model based on the Shanghai Expo construction project in China using fuzzy analytic network process (FANP). Firstly, a complexity measurement model consisting of 28 factors, which are grouped under six categories, namely, technological, organizational, goal, environmental, cultural and information complexities, is formulated through literature review using the content analysis technique. The model is then refined by a two-round Delphi survey conducted in the case megaproject. Finally, the refined model and suggestions for its application are provided based on the survey results. The model is believed to be beneficial for scholars and serve as reference for professionals in managing megaprojects.
Original languageEnglish
Pages (from-to)549-563
Number of pages15
JournalInternational Journal of Project Management
Volume33
Issue number3
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Complexity measurement
  • Fuzzy analytic network process
  • Mega construction projects
  • Shanghai expo construction project

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation

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