The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan

碩士 === 國立成功大學 === 高階管理碩士在職專班 === 95 === The main purposes of this study is to explore the three major topics:(1) The relationship between key performance indicator of UMC and key economic indicators. (2). The factors influencing the utilization of UMC. (3) The analysis on the correlationship between...

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Main Authors: Hung-I Yu, 余宏益
Other Authors: Hsin-Hong Kang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/19205141133910652596
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spelling ndltd-TW-095NCKU54570622015-10-13T13:59:58Z http://ndltd.ncl.edu.tw/handle/19205141133910652596 The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan 台灣晶圓代工產業營運績效與經濟景氣關聯性研究-以聯電公司為例 Hung-I Yu 余宏益 碩士 國立成功大學 高階管理碩士在職專班 95 The main purposes of this study is to explore the three major topics:(1) The relationship between key performance indicator of UMC and key economic indicators. (2). The factors influencing the utilization of UMC. (3) The analysis on the correlationship between key performance indicator of Taiwan semi-conductor foundry and utilization. In this research method, we used the data from Q1 of 96’ to Q4 of 05’ as our baseline and generate the final analysis report by using E-view equation and econometrics testing method. For topics 1 and 2, we plan to use the regression testing method to analyze the time series data and set up the single equation model for further analysis. For topic 3, we create an equation to determine the correlation between the KPI of Taiwan semi-conductor factory and utilization. From the single equation analysis results we found some positive correlation of the variable that impact the individual key performance indicator of UMC. They are as follows: “UMC utilization”, “US Economic Growth Rate” and “Taiwan key economic indicators “. We also found that EPS and ROE are the two most siginicicant indicators among all the other variables of UMC utilization. Besides, from the equation analysis we realize that the utilization of UMC has positive impact to the Growth Rate of UMC. Although the utilization of UMC; have some correlation with the Growth rate of UMC, this cannot fully explain to each other’s behavior. Keywords: semiconductor Foundry, capacity utilization; multiple regression analysis; Simple Regression model Hsin-Hong Kang 康信鴻 2007 學位論文 ; thesis 70 zh-TW
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language zh-TW
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description 碩士 === 國立成功大學 === 高階管理碩士在職專班 === 95 === The main purposes of this study is to explore the three major topics:(1) The relationship between key performance indicator of UMC and key economic indicators. (2). The factors influencing the utilization of UMC. (3) The analysis on the correlationship between key performance indicator of Taiwan semi-conductor foundry and utilization. In this research method, we used the data from Q1 of 96’ to Q4 of 05’ as our baseline and generate the final analysis report by using E-view equation and econometrics testing method. For topics 1 and 2, we plan to use the regression testing method to analyze the time series data and set up the single equation model for further analysis. For topic 3, we create an equation to determine the correlation between the KPI of Taiwan semi-conductor factory and utilization. From the single equation analysis results we found some positive correlation of the variable that impact the individual key performance indicator of UMC. They are as follows: “UMC utilization”, “US Economic Growth Rate” and “Taiwan key economic indicators “. We also found that EPS and ROE are the two most siginicicant indicators among all the other variables of UMC utilization. Besides, from the equation analysis we realize that the utilization of UMC has positive impact to the Growth Rate of UMC. Although the utilization of UMC; have some correlation with the Growth rate of UMC, this cannot fully explain to each other’s behavior. Keywords: semiconductor Foundry, capacity utilization; multiple regression analysis; Simple Regression model
author2 Hsin-Hong Kang
author_facet Hsin-Hong Kang
Hung-I Yu
余宏益
author Hung-I Yu
余宏益
spellingShingle Hung-I Yu
余宏益
The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
author_sort Hung-I Yu
title The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
title_short The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
title_full The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
title_fullStr The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
title_full_unstemmed The correlationship between the Key Performance Indicator of Taiwan’s Wafer Foundry Industry and Key Economic Indicator-- An Empirical Study of UMC in Taiwan
title_sort correlationship between the key performance indicator of taiwan’s wafer foundry industry and key economic indicator-- an empirical study of umc in taiwan
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/19205141133910652596
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