Social network analysis for construction crews

S. Alireza Abbsaian-Hosseini, Min Liu, Simon M. Hsiang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Construction crews usually have to share the limited working space with each other during construction to perform their tasks, which increases the chance of interference/conflict and productivity lost. Social network analysis (SNA) has been known as a methodology to determine the conditions of social structures by investigating the interdependencies among a set of actors. The impact of jobsite social network on the performance of the crews has not been well documented in previous research. This research proposes an analytical approach by combining SNA and work plan variation analysis to (1) quantify the influence construction crews receive from jobsite social network, and (2) explore the impact of jobsite social network on the crews’ performance particularly on their work plan variation through a case study. The results indicated that there is a positive monotonic association between each of the centrality indices (representing network influence on each crew) and each of the work plan variability indices (representing crew's performance). The more influences a crew receives form the network, the more work plan variation it will have. A better understanding of the existing jobsite interdependencies will help project managers to control it through better planning and leadership, consequently increasing jobsite productivity.

Original languageEnglish (US)
Pages (from-to)113-127
Number of pages15
JournalInternational Journal of Construction Management
Volume19
Issue number2
DOIs
StatePublished - Mar 4 2019
Externally publishedYes

Keywords

  • Social network analysis
  • centrality
  • construction crews
  • construction management
  • interdependency
  • productivity
  • variations
  • work plan

ASJC Scopus subject areas

  • Building and Construction
  • Strategy and Management
  • Management of Technology and Innovation

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