本研究應用資料包絡分析法以及麥氏生產力指數法評估台灣工業電腦業的經營績效。研究的對象為16家的工業電腦公司,研究期間為2010年至2012年的資料,並以營業成本以及營業費用作為投入項;營業收入作為產出項來做研究分析。透過資料包絡分析法之CCR、BCC模式可以分析出各工業電腦公司這三年每年的技術效率(Technical efficiency ,TE)、純技術效率(Pure technical efficiency , PTE)、規模效率(Scale efficiency , SE)、規模報酬(Return to scale, RTS),同時使用麥氏生產力指數法來衡量不同時點的各家公司之生產力變動的程度,以彌補資料包絡分析法無法分析連續數個年度效率變動之缺失。 希望藉此研究使各工業電腦公司的經理人在經營績效的研究分析過程中,更了解自己經營管理的公司其經營績效如何,並且從中檢討出無效率的來源,進而改善使公司獲得最佳的經營模式。
This study using the DEA analysis of the performance efficiencies of the IPC Industry in Taiwan. Total sixteen IPC companies be studied, It is the data from 2010 to 2012 while studying, and choose the input items are operating costs and operating expenses, operating revenue is the output item. Then the study will use the input items and output item to research and analyze. It could analyze these DMUs to get Technical efficiency, Pure technical efficiency, Scale efficiency, Return to scale by DEA’s CCR and BCC model, at the same time, I used MPI to calculate the DMUs productivity variation between 2010 to 2013, and MPI could recover DEA what couldn’t do. I genuine hope the study is useful for every chairman and manager in IPC companies, also wish them more than more understanding the performance efficiencies of their companies problems and solve the problems and find out the best business model.