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A platform for research: civil engineering, architecture and urbanism
Mapping the knowledge flow in sustainable construction project teams using social network analysis
The purpose of this paper is to examine knowledge transfer (KT) practices in five construction projects delivering sustainable office buildings in Germany and the UK by using social network analysis (SNA).
Case studies were adopted as research strategy, with one construction project representing one case study. A combination of quantitative data, social network data and some qualitative data on perceptions of the sustainable construction process and its KT were collected through questionnaires. The data were analysed using a combination of descriptive statistics, cross-tabulations, content analysis and SNA. This resulted in a KT map of each sustainable construction project.
The findings resulted in a better understanding of how knowledge on sustainable construction is transferred and adopted. They show that large amounts of tacit knowledge were transferred through strong ties in sparse networks.
The findings could offer a solution to secure a certain standard of sustainable building quality through improved KT. The findings indicate a need for further research and discussion on network density, tie strength and tacit KT.
This paper contributes to the literature on KT from a social network perspective. It provides a novel approach through combining concepts of network structure and relatedness in tie contents regarding specialised knowledge, i.e. sustainable construction knowledge. Thereby it provides a robust approach to mapping knowledge flows in office building projects that aim to achieve high levels of sustainability standards.
Mapping the knowledge flow in sustainable construction project teams using social network analysis
The purpose of this paper is to examine knowledge transfer (KT) practices in five construction projects delivering sustainable office buildings in Germany and the UK by using social network analysis (SNA).
Case studies were adopted as research strategy, with one construction project representing one case study. A combination of quantitative data, social network data and some qualitative data on perceptions of the sustainable construction process and its KT were collected through questionnaires. The data were analysed using a combination of descriptive statistics, cross-tabulations, content analysis and SNA. This resulted in a KT map of each sustainable construction project.
The findings resulted in a better understanding of how knowledge on sustainable construction is transferred and adopted. They show that large amounts of tacit knowledge were transferred through strong ties in sparse networks.
The findings could offer a solution to secure a certain standard of sustainable building quality through improved KT. The findings indicate a need for further research and discussion on network density, tie strength and tacit KT.
This paper contributes to the literature on KT from a social network perspective. It provides a novel approach through combining concepts of network structure and relatedness in tie contents regarding specialised knowledge, i.e. sustainable construction knowledge. Thereby it provides a robust approach to mapping knowledge flows in office building projects that aim to achieve high levels of sustainability standards.
Mapping the knowledge flow in sustainable construction project teams using social network analysis
Mapping the knowledge flow
Schröpfer, Veronika Lilly Meta (author) / Tah, Joe (author) / Kurul, Esra (author)
Engineering, Construction and Architectural Management ; 24 ; 229-259
2017-03-20
31 pages
Article (Journal)
Electronic Resource
English
Mapping the knowledge flow in sustainable construction project teams using social network analysis
| Online Contents | 2017
| Emerald Group Publishing | 2025