2015
DOI: 10.1016/j.proeng.2015.10.026
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Measuring Productivity of Construction Industry in Europe with Data Envelopment Analysis

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Cited by 33 publications
(22 citation statements)
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“…Existing literature provides a broad number of results on an efficiency assessment of the individual industry, service or agriculture sectors based on the DEA method. For example, Nazarko and Chodakowska (2015) used the method to examine the construction sector productivity in 25 European countries. Their analysis covered 2006-2012 period and revealed huge differences in productivity of construction industry within the EU countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Existing literature provides a broad number of results on an efficiency assessment of the individual industry, service or agriculture sectors based on the DEA method. For example, Nazarko and Chodakowska (2015) used the method to examine the construction sector productivity in 25 European countries. Their analysis covered 2006-2012 period and revealed huge differences in productivity of construction industry within the EU countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The results of the calculations indicate that BIM adoption may suffer a significant slowdown for purely economic reasons. Therefore, if one counts on a quicker and more substantial contribution of BIM to the sustainability of the construction sector, isomorphic pressures from policy circles, regulatory bodies, and industry associations to adopt BIM on the project level are needed [61]. Local authorities in many countries are committed to BIM and require that all new public projects be carried out with use of BIM.…”
mentioning
confidence: 99%
“…The application of more sophisticated analytical instruments would be desirable. For example, Data Envelopment Analysis (DEA) could be used to evaluate how efficiently innovating organizations transform their resources and time (input) into socially desirable "outputs" [64,65]. Such "RRI productivity" approach could also be used at the strategic planning stage to choose between competing technology roadmaps [66][67][68] with different anticipated inputs and outputs.…”
Section: Discussionmentioning
confidence: 99%