Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91895
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building and Real Estate | en_US |
| dc.creator | Wu, H | en_US |
| dc.creator | Xue, X | en_US |
| dc.creator | Zhao, Z | en_US |
| dc.creator | Wang, Z | en_US |
| dc.creator | Shen, GQ | en_US |
| dc.creator | Luo, X | en_US |
| dc.date.accessioned | 2022-01-05T07:13:50Z | - |
| dc.date.available | 2022-01-05T07:13:50Z | - |
| dc.identifier.issn | 8756-9728 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/91895 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Sage Publications | en_US |
| dc.rights | This is the accepted version of the publication Wu H, Xue X, Zhao Z, Wang Z, Shen GQ, Luo X. Major Knowledge Diffusion Paths of Megaproject Management: A Citation-Based Analysis. Project Management Journal (Volume 51, Issue Number 3) pp. 242-261. Copyright © 2000 (Project Management Institute, Inc.). DOI: 10.1177/8756972819850232. | en_US |
| dc.subject | Knowledge diffusion | en_US |
| dc.subject | Main path analysis | en_US |
| dc.subject | Megaproject management | en_US |
| dc.subject | Modularity optimization | en_US |
| dc.title | Major knowledge diffusion paths of megaproject management : a citation-based analysis | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 242 | en_US |
| dc.identifier.epage | 261 | en_US |
| dc.identifier.volume | 51 | en_US |
| dc.identifier.issue | 3 | en_US |
| dc.identifier.doi | 10.1177/8756972819850232 | en_US |
| dcterms.abstract | 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. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Project management journal, 1 June 2020, v. 51, no. 3, p, 242-261 | en_US |
| dcterms.isPartOf | Project management journal | en_US |
| dcterms.issued | 2020-06-01 | - |
| dc.identifier.isi | WOS:000534624700002 | - |
| dc.identifier.eissn | 1938-9507 | en_US |
| dc.description.validate | 202201 bcvc | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a1135-n01 | - |
| dc.identifier.SubFormID | 43984 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China (NSFC) 71390522 | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Major_Knowledge_diffusion_paths_-Zhao-PMI-9.0-notrack_SS_ZR2.pdf | Pre-Published version | 1.9 MB | Adobe PDF | View/Open |
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