| Summary: | 碩士 === 國立交通大學 === 工業工程與管理學系 === 98 === The common weights analysis (CWA), derived from data envelopment analysis (DEA), can help the performance assessor to measure the efficiencies of a group of many units of assessment (UOAs) with multiple inputs and outputs. Phase I of this research is to develop a method to measure the CWA-based Malmquist productivity index for each UOA’s productivity change between two adjacent periods. The productivity index further is decomposed into two sub-indices: Self Competitiveness Shift (SCS), and Group Competitiveness Shift (GCS). In Phase II, based on Phase I and employ the concept of (Caves, Christensen, & Diewert, 1982) we develop a CWA/CCD-based Malmquist productivity index for measuring each UOA’s productivity change between any two periods. Most importantly the productivity index satisfies Time-reversal test and Circular test so that the multilateral performance analysis would avoid the bias from choosing the fixed comparison period. One could measure the trend of productivity changes for each UOA directly. The productivity changes of Fortune Global 500 Pharmaceuticals companies between 2005 and 2008 are analyzed with our procedure.
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