Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach Khanzadi, Mostafa, Nasirzadeh, Farnad, Mir, Mostafa and Nojedehi, Pouya 2018, Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach, Construction innovation, vol. 18, no. 1, pp. 2-19, doi: 10.1108/CI-06-2015-0034. Attached Files Name Description MIMEType Size Downloads Title Prediction and improvement of labor productivity using hybrid system dynamics and agent-based modeling approach Author(s) Khanzadi, Mostafa Nasirzadeh, Farnad orcid.org/0000-0003-0101-6322 Mir, Mostafa Nojedehi, Pouya Journal name Construction innovation Volume number 18 Issue number 1 Start page 2 End page 19 Total pages 18 Publisher Emerald Publishing Limited Place of publication Bingley, Eng. Publication date 2018 ISSN 1471-4175 1477-0857 Keyword(s) construction industry simulation system dynamics agent-based modeling labor productivity hybrid simulation Language eng DOI 10.1108/CI-06-2015-0034 Field of Research 1202 Building HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2018, Emerald Publishing Limited Persistent URL http://hdl.handle.net/10536/DRO/DU:30106532 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 25 Feb 2018, 17:43:44 EST Mon, 26 Feb 2018, 04:00:20 EST Tue, 27 Feb 2018, 07:04:54 EST Wed, 14 Mar 2018, 05:04:07 EST Thu, 15 Mar 2018, 13:26:55 EST Thu, 15 Mar 2018, 13:31:32 EST Thu, 15 Mar 2018, 13:32:33 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 247 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Sun, 25 Feb 2018, 17:43:44 EST

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