Application of Data Envelopment Analysis for Evaluating Performance of Top 10 Internet Companies in U.S and China

碩士 === 國立中興大學 === 科技管理研究所 === 104 === The internet technology has fully entered the rapid development age of Web 2.0. Internet users in China is the largest number of Internet users in the world. The rapid spread of the Internet changed the business importance and lives of modern people. This is esp...

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Bibliographic Details
Main Authors: Hung-Yu Yen, 顏宏宇
Other Authors: Chien-Ta Ho
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/24336236375946895660
Description
Summary:碩士 === 國立中興大學 === 科技管理研究所 === 104 === The internet technology has fully entered the rapid development age of Web 2.0. Internet users in China is the largest number of Internet users in the world. The rapid spread of the Internet changed the business importance and lives of modern people. This is especially so with the advent of smartphone, consumers are willing to pay more on mobile Internet, and thus also impacted and expanded the entire market. In order to survive and maintain the market share in such fierce competition, profitability and marketability has become one of the important factors. This research uses data envelopment analysis (DEA) to evaluate the company’s profitability and marketability in global market. This study focuses on major Top 10 U.S. Internet companies –Google、Facebook、Amazon、EBay、Priceline、Yahoo、Twitter、Netflix、LinkedIn、TripAdvisor and Top 10 China Internet companies- Alibaba、Tencent、Baidu、JD.COM、Vipshop、Netease、Qihoo、Ctrip.com、Youku and YY as the research object. Through collecting the Internet and the US and Chinese Internet company data, we evaluated the current twenty Internet companies in terms of profitability and marketability performance, as well as to establish ranking and to provide recommendation for improvement based on current performance of each individual company. On the other hand, in order to reduce investment risk, this study is also to make up for a deficiency caused by over-reliance on historical data or intuitive judgments and other human error.