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- Publisher Website: 10.1080/01446193.2014.919403
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Article: Reliability of Engineering News-Record international construction data
Title | Reliability of Engineering News-Record international construction data |
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Authors | |
Keywords | Data reliability Engineering News-Record international companies international construction self-report data |
Issue Date | 2014 |
Publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.asp |
Citation | Construction Management and Economics, 2014, v. 32 n. 10, p. 968-982 How to Cite? |
Abstract | Since the late 1970s, the Engineering News-Record (ENR) has produced annual lists ranking firms involved in development of the built environment on the basis of their international revenues. ENR lists, such as the Top 225 International Contractors and the Top 200 International Design Firms, have become popular datasets for international construction research. Nonetheless, given that the ENR data are self-reported, reviewers for journals and research funding bodies frequently question the reliability of the data. The aim of this research is to ascertain the extent to which the self-report ENR data can be considered reliable for international construction research. Inter-data reliability tests conducted to measure the levels of resemblance between the ENR data and annual report data of 51 sample companies found that, contrary to the prevalent view that companies reporting to the ENR tend to inflate their revenues, there are no systematic errors in the ENR data. Although slight discrepancies were found, ENR data can be confidently used for international construction research. Journal reviewers and editors should be more open to ENR international construction data, rather than taking the default position that the data are inherently and seriously problematic and thus automatically dismissing those studies that use such data. |
Persistent Identifier | http://hdl.handle.net/10722/198564 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.874 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lu, W | - |
dc.date.accessioned | 2014-07-07T07:55:21Z | - |
dc.date.available | 2014-07-07T07:55:21Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Construction Management and Economics, 2014, v. 32 n. 10, p. 968-982 | - |
dc.identifier.issn | 0144-6193 | - |
dc.identifier.uri | http://hdl.handle.net/10722/198564 | - |
dc.description.abstract | Since the late 1970s, the Engineering News-Record (ENR) has produced annual lists ranking firms involved in development of the built environment on the basis of their international revenues. ENR lists, such as the Top 225 International Contractors and the Top 200 International Design Firms, have become popular datasets for international construction research. Nonetheless, given that the ENR data are self-reported, reviewers for journals and research funding bodies frequently question the reliability of the data. The aim of this research is to ascertain the extent to which the self-report ENR data can be considered reliable for international construction research. Inter-data reliability tests conducted to measure the levels of resemblance between the ENR data and annual report data of 51 sample companies found that, contrary to the prevalent view that companies reporting to the ENR tend to inflate their revenues, there are no systematic errors in the ENR data. Although slight discrepancies were found, ENR data can be confidently used for international construction research. Journal reviewers and editors should be more open to ENR international construction data, rather than taking the default position that the data are inherently and seriously problematic and thus automatically dismissing those studies that use such data. | - |
dc.language | eng | - |
dc.publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01446193.asp | - |
dc.relation.ispartof | Construction Management and Economics | - |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Construction Management and Economics on 23 Jun 2014, available online at: http://www.tandfonline.com/doi/abs/10.1080/01446193.2014.919403 | - |
dc.subject | Data reliability | - |
dc.subject | Engineering News-Record | - |
dc.subject | international companies | - |
dc.subject | international construction | - |
dc.subject | self-report data | - |
dc.title | Reliability of Engineering News-Record international construction data | - |
dc.type | Article | - |
dc.identifier.email | Lu, W: wilsonlu@hku.hk | - |
dc.identifier.authority | Lu, W=rp01362 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1080/01446193.2014.919403 | - |
dc.identifier.scopus | eid_2-s2.0-84914679357 | - |
dc.identifier.hkuros | 229707 | - |
dc.identifier.volume | 32 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 968 | - |
dc.identifier.epage | 982 | - |
dc.identifier.isi | WOS:000213359800003 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0144-6193 | - |