Labour productivity model for reinforced concrete construction projects

Homyun Jang, Kyonghoon Kim, Ju-Hyung Kim, Jae-Jun Kim

Research output: Contribution to journalArticle

27 Scopus citations


Purpose This study aims to identify systematically the factors that can often influence labour productivity directly and indirectly, to build a model that can evaluate the significance of these factors. The model can be used as a tool for assisting field construction mangers responsible for productivity. Design/methodology/approach The factors were first identified by undertaking a literature review. The scope and method for measuring labour productivity were then determined. The final analysis model was built through a statistical analysis conducted with the chosen factors. Findings The results of the analysis indicate that the work management component (e.g. the manager's abilities) and the work technique component (e.g. work continuity) have greater impact than the worker component (e.g. the workers' capability) and the work characteristic component (e.g. work difficulty). Research limitations/implications This research focuses on the qualitative perspective of site managers on labour productivity. Although the process of translating qualitative opinions into quantitative data is a matter for debate, the result of this research, when compared to other quantitative studies, can be used to establish a strategy and an action plan for managing labour productivity. Practical implications Qualitative aspects that were considered to establish a labour productivity model can be evaluated by site construction managers. Despite the importance of these qualitative aspects, they have, by and large, been neglected, as models to date tend to consider more directly measurable quantitative factors. In particular, they can be used to develop a strategy for increasing labour productivity at the initial planning stage. Originality/value This research explores the differences between a subjective perception and the objective reality of labour productivity.

Original languageEnglish
Pages (from-to)92-113
Number of pages22
JournalConstruction Innovation
Issue number1
StatePublished - 2011 May 30


  • Analytical hierarchy process
  • Labour
  • Productivity rate
  • Regression analysis

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