整合核函數主成分分析法與差額變數之資料包絡分析法於台灣電子業之績效評估與測

文化大學機構典藏 CCUR > 國際暨外語學院 > 全球商務學位學程 > 博碩士論文 > Item 987654321/52681

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题名:	整合核函數主成分分析法與差額變數之資料包絡分析法於台灣電子業之績效評估與測 Using KPCA and Slack-Based DEA to Evaluate and Forecast IT Companies' Performance in Taiwan
作者:	武清顯 Vo, Hien-Thanh
贡献者:	全球商務碩士學位學程碩士班
关键词:	數據包絡分析核主成分分析台灣電子業松弛變量測度 KPCA DEA IT Industry Efficiency Evaluation
日期:	2022
上传时间:	2023-07-06 10:29:23 (UTC+8)
摘要:	Data envelopment analysis (DEA) is widely considered to be one of the most advantageous tools for evaluating companies in particular industries. Significantly, DEA can handle multiple inputs and outputs simultaneously with non-parametric assessment. The applied use is for important ones such as banking & finance, healthcare, education, power and energy consumption, etc. In this paper, I propose this method to apply to the information technology (IT) industry, principally in the software domain. With hardware success, Taiwan forgot that software development is equally competitive. The method kernel principal component analysis (KPCA) supports to produce wiser measured information through simplifying data . At once, we initiate slack-based data envelopment analysis (SB-DEA) to better the ranking results. 74 companies (DMUs) gathered from Taiwan economic journal (TEJ) in two years 2019 and 2020 are trained and tested with the output orientation of marketability. By joint utilization of KPCA and SB-DEA, we can uncover some weaknesses from the best practice operation and gain more deeper insights for decision makers to formulate their business operation strategies in the future as well as reach the goal of sustainable development.
显示于类别:	[全球商務學位學程] 博碩士論文

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