Major Knowledge Diffusion Paths of Megaproject Management: A Citation-Based Analysis
Author(s) -
Wu Hengqin,
Xue Xiaolong,
Zhao Zebin,
Wang Zeyu,
Shen Geoffrey Qiping,
Luo Xiaowei
Publication year - 2020
Publication title -
project management journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.454
H-Index - 43
eISSN - 1938-9507
pISSN - 8756-9728
DOI - 10.1177/8756972819850232
Subject(s) - megaproject , perspective (graphical) , computer science , diffusion , citation , set (abstract data type) , knowledge management , citation analysis , data science , path analysis (statistics) , engineering , systems engineering , world wide web , physics , artificial intelligence , thermodynamics , programming language , machine learning
This article integrates social network analysis and main path analysis to investigate progress in megaproject management (MPM) from the perspective of knowledge diffusion. After measuring three major knowledge diffusion paths of MPM, the authors find that MPM is mainly driven by a set of problems and puzzles. The findings provide an exciting opportunity to advance existing understanding of MPM from an alternative angle of knowledge diffusion that considers the underlying associations among publications. Moreover, this article employs quantitative methods to examine citation data of publications, thus providing more unbiased and in-depth analysis to illustrate the development of MPM.
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