Measuring the complexity of mega construction projects in China—A fuzzy analytic network process analysis. Issue 3 (April 2015)

• Record Type: Journal Article
• Authors: He, Qinghua; Luo, Lan; Hu, Yi; Chan, Albert P.C.
• Is Part Of: International journal of project management. Volume 33:Issue 3(2015:Apr.)
• Page Start: 549
• Page End: 563
• Publication Date: 2015-04
• Subjects: Project management -- Periodicals; Network analysis (Planning) -- Periodicals; 658.40405
• DOI: 10.1016/j.ijproman.2014.07.009
• Languages: English
• ISSNs: 0263-7863

Abstract

<abstract abstract-type="author" id="ab0005"> <title id="st0005">Abstract</title> <sec> <p id="sp0005">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.</p> </sec> </abstract>