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Buchmann-Slorup, R (2014) Applying critical chain buffer management theory in location-based management. Construction Management and Economics, 32(06), 506-19.

Gatti, U C, Migliaccio, G C, Bogus, S M and Schneider, S (2014) An exploratory study of the relationship between construction workforce physical strain and task level productivity. Construction Management and Economics, 32(06), 548-64.

Isaac, S and Navon, R (2014) Can project monitoring and control be fully automated?. Construction Management and Economics, 32(06), 495-505.

Lucko, G, Alves, T D C L and Angelim, V L (2014) Challenges and opportunities for productivity improvement studies in linear, repetitive, and location-based scheduling. Construction Management and Economics, 32(06), 575-94.

Nasir, H, Ahmed, H, Haas, C and Goodrum, P M (2014) An analysis of construction productivity differences between Canada and the United States. Construction Management and Economics, 32(06), 595-607.

Russell, A D, Tran, N and Staub-French, S (2014) Searching for value: construction strategy exploration and linear planning. Construction Management and Economics, 32(06), 520-47.

Seppänen, O, Evinger, J and Mouflard, C (2014) Effects of the location-based management system on production rates and productivity. Construction Management and Economics, 32(06), 608-24.

Sezer, A A and Brochner, J (2014) The construction productivity debate and the measurement of service qualities. Construction Management and Economics, 32(06), 565-74.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2013.831464
  • Abstract:

    Since the 1960s, researchers have provided short-term and long-term explanations for low productivity growth in the construction industry. In retrospect, the main challenge appears to be the measurement of changes in heterogeneous input and output qualities. The aim here is to review earlier construction productivity research and to compare it with more recent approaches to quality measurement used when analysing services productivity, ultimately intending to provide guidance for using performance data from construction projects. Relying on the EU KLEMS database, industries with similar patterns of productivity growth are identified, primarily the business services industry. In services productivity analyses, the attempts to introduce output quality measures reflecting customer satisfaction are particularly interesting, as this creates a link to productivity effects on clients. A conclusion is that it should be possible to use the increasing volume of performance indicator data collected for construction project benchmarking for extending the range of output quality variables. However, resource constraints imply that it is infeasible to base industry productivity statistics on project level data reflecting customer satisfaction and customer productivity effects.

Van der Vlist, A J, Vrolijk, M H and Dewulf, G P M R (2014) On information and communication technology and production cost in construction industry: evidence from the Netherlands. Construction Management and Economics, 32(06), 641-51.

Vilasini, N, Neitzert, T and Rotimi, J (2014) Developing and evaluating a framework for process improvement in an alliance project: a New Zealand case study. Construction Management and Economics, 32(06), 625-40.