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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.

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Title Ecosystem visualization and analysis of Chinese prefabricated housing industry
Author(s) Jiang, Rui
Wu, Chengke
Mao, Chao
Shrestha, AsheemORCID iD for 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 Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30091638

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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.