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Construction project monitoring by means of RAM-based composite indicators

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  • I E Tsolas

    (National Technical University of Athens, Zografou, Greece)

Abstract

This paper aims to assess the performance of a sample of completed building projects in Oregon by employing the range-adjusted measure, a slack-based data envelopment analysis (DEA) model. In the first stage of analysis, project efficiency ratings (ie composite indicators) are derived using selected single performance indicators in a no-output model; whereas in the second stage, censored Tobit regression is employed to model the efficiency ratings. The results indicate that only four out of the 50 sample projects are efficient within the DEA context. Moreover, there is not much evidence for systematic effects of project size on DEA efficiency rating.

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  • I E Tsolas, 2013. "Construction project monitoring by means of RAM-based composite indicators," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(8), pages 1291-1297, August.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:8:p:1291-1297
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    Cited by:

    1. Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    2. Mara Madaleno & Celeste Amorim Varum & Isabel Horta, 2018. "SMEs Performance and Internationalization: A Traditional Industry Approach," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 605-624, November.

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