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• W2896539145 abstract "Abstract Business process management (BPM) literature suggests that more than 60% of quality improvement projects fail due to factors associated with the lack of predictive quality performance control and the failure of continuously searching for quality anomalies in quality performance over time. Quality anomalies are indications of extreme performance deviation from quality expectations and requirements. The findings suggest that quality performance control in BPM is the scientific method for producing quality anomaly knowledge and signalling opportunities for informed, systematic, and continuous performance improvement. A predictive framework is proposed based on the findings." @default.
• W2896539145 created "2018-10-26" @default.
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• W2896539145 date "2018-01-01" @default.
• W2896539145 modified "2023-09-23" @default.
• W2896539145 title "Predictive quality performance control in BPM: proposing a framework for predicting quality anomalies" @default.
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• W2896539145 doi "https://doi.org/10.1016/j.procs.2018.10.094" @default.
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