Ecosystem visualization and analysis of Chinese prefabricated housing industry Jiang, Rui, Wu, Chengke, Mao, Chao and Shrestha, Asheem 2016, Ecosystem visualization and analysis of Chinese prefabricated housing industry, Procedia engineering, vol. 145, pp. 436-443, doi: 10.1016/j.proeng.2016.04.011. Attached Files Name Description MIMEType Size Downloads shrestha-ecosystemvisualization-2016.pdf Published version application/pdf 407.61KB 14 Title Ecosystem visualization and analysis of Chinese prefabricated housing industry Author(s) Jiang, Rui Wu, Chengke Mao, Chao Shrestha, Asheem orcid.org/0000-0001-6080-4068 Journal name Procedia engineering Volume number 145 Start page 436 End page 443 Total pages 8 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2016 ISSN 1877-7058 Keyword(s) prefabricated housing business ecosystem visualization strategy Summary Prefabricated housing has proven to achieve high quality, reduce costs and improve housing environmental performance. While prefabricated housing has been widely constructed in many jurisdictions, it is still in its infancy in China. However, the prefabrication sector in China is in transition as the macro environment is changing and new participants are expected to enter architecture, engineering and construction (AEC) industry who will have to work cooperatively as well as competitively with the existed companies. Such changes and strategic activities have impacts on every participant within the ecosystem. A better understanding of the whole industry as well as the participants’ strategic positioning will help companies develop their survival strategies. This paper aims to establish the prefabricated housing ecosystem in China based on the business ecosystem theory and to analyze the interrelationships among the major participants. A conceptual model of the ecosystem is established through literature review. Subsequently, the social network analysis (SNA) approach is employed to quantitatively analyze the strategic relationships between property developers and contractors who have adopted prefabrication in their residential projects. Finally, Node XL software is used for visualization and data analysis. Through the SNA measurements, the top 3 property developers and contractors are identified and several clusters are uncovered, which suggests a cooperation tendency among local actors. Language eng DOI 10.1016/j.proeng.2016.04.011 Field of Research 120201 Building Construction Management and Project Planning Socio Economic Objective 0 Not Applicable HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, The Authors Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30091638 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Open Access Collection Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 02 Mar 2017, 21:02:28 EST Thu, 02 Mar 2017, 21:05:04 EST Thu, 02 Mar 2017, 21:05:41 EST Fri, 03 Mar 2017, 04:01:21 EST Thu, 20 Apr 2017, 11:53:10 EST Fri, 21 Apr 2017, 06:04:22 EST Sat, 22 Apr 2017, 02:34:22 EST Mon, 10 Jul 2017, 13:01:04 EST Mon, 10 Jul 2017, 13:05:49 EST Mon, 10 Jul 2017, 13:07:17 EST Tue, 11 Jul 2017, 11:57:52 EST Sat, 21 Oct 2017, 01:44:16 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 71 Abstract Views, 16 File Downloads  -  Detailed Statistics Created: Thu, 20 Apr 2017, 11:53:10 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.