Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/27152

TitleData quality assessment for performance measures in the area of safety and health at work
Author(s)Cavallare, Marcello
Sousa, Sérgio
Nunes, Eusébio P.
KeywordsPerformance measures
Uncertainty
Performance measurement systems
Safety and health at work
Issue date2013
PublisherTaylor & Francis
Abstract(s)Data quality issues of performance measures in the area of Safety and Health at Work are ex-plored based on a set of uncertainty components previously proposed. A case study protocol is developed to ascertain the quality of such performance measures. Results provided by three case studies show that respon-dents have the perception that the performance measures used in companies are affected by the suggested un-certainty components. The results can lead to a revision of the existing data collection methods to reduce the uncertainty of such indicators. The characterization of data uncertainty can also be considered as a risk indica-tor of decisions based on these indicators. This work is part of a bigger project that aims to represent and re-duce uncertainty in performance measurement systems.
TypeConference paper
URIhttp://hdl.handle.net/1822/27152
ISBN978-1-138-00047-6
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:LES/ALG - Capítulos de livros

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