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Ecosystem Visualization and Analysis of Chinese Prefabricated Housing Industry

journal contribution
posted on 2016-01-01, 00:00 authored by R Jiang, C Wu, C Mao, Asheem ShresthaAsheem Shrestha
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.

History

Journal

Procedia Engineering

Volume

145

Pagination

436-443

Location

Arizona State Univ, Coll Avenue Commons, Tempe, AZ

ISSN

1877-7058

eISSN

1877-7058

Language

English

Publication classification

C Journal article, C1.1 Refereed article in a scholarly journal

Copyright notice

2016, The Authors

Editor/Contributor(s)

Chong O, Parrish K, Tang P, Grau D, Chang J

Publisher

ELSEVIER SCIENCE BV