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Data quality assessment for performance measures in the area of safety and health at work

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Detalhes bibliográficos
Resumo: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.
Autores principais:Cavallare, Marcello
Outros Autores:Sousa, Sérgio; Nunes, Eusébio P.
Assunto:Performance measures Uncertainty Performance measurement systems Safety and health at work
Ano:2013
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo: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.

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