UBC Theses and Dissertations
Robust performance benchmarking : an application of multivariate and data envelopment analysis at the Workers’ Compensation Board Tang, Kevin Berenato
Compensation Services manages return to work, wage loss, pension and health-care benefits to injured workers, and those suffering from occupational diseases. This thesis presents the methodology and results of a comprehensive study conducted to determine the relationships between existing performance measures, quantify the factors influencing these performance measures, and deterrriine relative efficiencies across case management operations. We use principal components analysis, cluster analysis, and multiple regression to derive the relationships between performance outcomes and influencing factors. We then use data envelopment analysis, incorporating these multiple inputs and outputs, to assess overall relative efficiencies and set performance targets. The analysis has brought about an increased understanding of service delivery location performance and performance measurement. Results may be used to provide managerial decision support, communicate best practices, and serve as a basis for further efficiency or quality initiatives. The factors accounted for in the multivariate analysis can explain between 20% - 50% of the variability in key performance outcomes across case management desks. The overall efficiency analysis revealed strong performers both within case management offices and across regions. Four case management offices consistently contain strongperforming case management desks across several methods of evaluating efficiency. Transferring best practices has the potential to significantly increase relative efficiency improvements for case management desks across the province.
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