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Article: Schedule risks in prefabrication housing production in Hong Kong: A social network analysis

TitleSchedule risks in prefabrication housing production in Hong Kong: A social network analysis
Authors
KeywordsSocial network analysis
Schedule risk
Building information modeling
Prefabrication housing production
Issue Date2015
Citation
Journal of Cleaner Production, 2015 How to Cite?
Abstract© 2016 Elsevier Ltd.Various schedule risks beset prefabrication housing production (PHP) in Hong Kong throughout the prefabrication supply chain, from design, manufacturing, logistics, to on-site assembly. Previous research on the risks in prefabrication construction projects has mainly focused on the construction stage and has been confined to issues of completeness and accuracy without consideration of stakeholder-related risks and their cause-and-effect relationships. However, in reality, the supply chain is inseparable as precast components should be manufactured and transported to sites to fit in with the schedule of on-site assembly in seamless connection manner, and most risks are interrelated and associated with various stakeholders. This study applies social network analysis (SNA) to recognize and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects. Critical risks and relationships that have important roles in structuring the entire network of PHP are identified and analyzed. BIM (Building Information Modeling)-centered strategies are proposed to facilitate stakeholder communication and mitigate critical schedule risks and interactions underlying the risk network. This study not only provides an effective method to analyze stakeholder-associated risk factors and to evaluate the effect of these risk factors from a network perspective, but also offers a new visual perspective in the promotion of the use of the Internet of things (IoT) and helps identify housing construction problems in Hong Kong.
Persistent Identifierhttp://hdl.handle.net/10722/231029
ISSN
2015 Impact Factor: 4.959
2015 SCImago Journal Rankings: 1.721

 

DC FieldValueLanguage
dc.contributor.authorLi, Clyde Zhengdao-
dc.contributor.authorHong, Jingke-
dc.contributor.authorXue, Fan-
dc.contributor.authorShen, Geoffrey Qiping-
dc.contributor.authorXu, Xiaoxiao-
dc.contributor.authorMok, Margaret Kayan-
dc.date.accessioned2016-09-01T06:07:25Z-
dc.date.available2016-09-01T06:07:25Z-
dc.date.issued2015-
dc.identifier.citationJournal of Cleaner Production, 2015-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/231029-
dc.description.abstract© 2016 Elsevier Ltd.Various schedule risks beset prefabrication housing production (PHP) in Hong Kong throughout the prefabrication supply chain, from design, manufacturing, logistics, to on-site assembly. Previous research on the risks in prefabrication construction projects has mainly focused on the construction stage and has been confined to issues of completeness and accuracy without consideration of stakeholder-related risks and their cause-and-effect relationships. However, in reality, the supply chain is inseparable as precast components should be manufactured and transported to sites to fit in with the schedule of on-site assembly in seamless connection manner, and most risks are interrelated and associated with various stakeholders. This study applies social network analysis (SNA) to recognize and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects. Critical risks and relationships that have important roles in structuring the entire network of PHP are identified and analyzed. BIM (Building Information Modeling)-centered strategies are proposed to facilitate stakeholder communication and mitigate critical schedule risks and interactions underlying the risk network. This study not only provides an effective method to analyze stakeholder-associated risk factors and to evaluate the effect of these risk factors from a network perspective, but also offers a new visual perspective in the promotion of the use of the Internet of things (IoT) and helps identify housing construction problems in Hong Kong.-
dc.languageeng-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectSocial network analysis-
dc.subjectSchedule risk-
dc.subjectBuilding information modeling-
dc.subjectPrefabrication housing production-
dc.titleSchedule risks in prefabrication housing production in Hong Kong: A social network analysis-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2016.02.123-
dc.identifier.scopuseid_2-s2.0-84961784515-
dc.identifier.spagenull-
dc.identifier.epagenull-

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