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Azman, M A, Hon, C K H, Skitmore, M, Lee, B L and Xia, B (2019) A Meta-frontier method of decomposing long-term construction productivity components and technological gaps at the firm level: evidence from Malaysia. Construction Management and Economics, 37(02), 72–88.

Hamzeh, F R, Faek, F and AlHussein, H (2019) Understanding improvisation in construction through antecedents, behaviours and consequences. Construction Management and Economics, 37(02), 61–71.

Hanna, A S, Iskandar, K A and Lotfallah, W (2019) Benchmarking project performance: a guideline for assessing vulnerability of mechanical and electrical projects to productivity loss . Construction Management and Economics, 37(02), 101–11.

  • Type: Journal Article
  • Keywords: Productivity; quantitative analysis; risk management;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2018.1513160
  • Abstract:
    Loss of productivity is a contentious issue that has a profound impact on modern construction, yet existing literature provides no quantitative, data-driven method to compare the productivity of different construction projects or to assess their vulnerability to productivity loss. A new mathematically derived metric, called the “Risk of Productivity Loss (RPL)” score, provides such a method. RPL is a function of multiple distinct productivity factors. The RPL score is developed from a dataset of 166 electrical and mechanical projects, which collectively amount to 7.2 million labour hours. This large sample size makes the RPL score a reliable productivity benchmark for the electrical and mechanical construction industries due to their labour-intensive nature. The higher the RPL score, the higher the risk that a given project will suffer from productivity losses. To supplement the mathematical formula presented, objective data-based weights for multiple key productivity factors have been identified, reducing the subjectivity that affects many of the existing weighting assessment methods. RPL provides the industry with a single metric that allows tracking and assessment of productivity for multiple projects at a time so that a contractor may assess the successful reduction of productivity risk factors within the projects in their company.

Kaminsky, J (2019) The global influence of national cultural values on construction permitting. Construction Management and Economics, 37(02), 89–100.

Kenley, R (2019) CME Forum: a response to “Construction flow index: a metric of production flow quality in construction”. Construction Management and Economics, 37(02), 112–9.