Performance Analysis of Fashion Brand :An Example of S Company
碩士 === 東吳大學 === EMBA高階經營碩士在職專班 === 106 === This study adopts the Resample Data Envelopment Analysis (DEA) proposed by Tone(2013) as the main research method to estimate store efficiency based on information obtained from S company’s stores for the period from 2016 to 2017. Past-Present Model is util...
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ndltd-TW-106SCU014570042019-05-16T00:22:58Z http://ndltd.ncl.edu.tw/handle/4kbatz Performance Analysis of Fashion Brand :An Example of S Company 潮牌服飾業經營之績效分析-以S公司為例 CHEN,YU-HUI 陳玉慧 碩士 東吳大學 EMBA高階經營碩士在職專班 106 This study adopts the Resample Data Envelopment Analysis (DEA) proposed by Tone(2013) as the main research method to estimate store efficiency based on information obtained from S company’s stores for the period from 2016 to 2017. Past-Present Model is utilized to analyze the SBM efficiency , the average of total efficiency and rank of quarterly and annual from 2016 to 2017. Then the Past-Present-Future Model of Trend Analysis and Weighed Average aim at forecasting the future efficiency score , input variable , output variable of quarterly and annual at 2018. In the research , the input variable is Cost of Sales and Operating Expenses while the output variable is Sales Revenue and Gross Profit. The empirical results are summarized as follows: 1. In Past-Present-Future Model , we find that the method of the Weighed Average is better than the Trend Analysis.. 2. We know that the SBM Model is more likely to be overestimated than Resample DEA. 3. The results showed that the rank of Taobao store , Tmall store and Taichung NEXTION are top 3. It is suggested that stores with poor ranking can reduce their Cost of Goods Sold and Operating Expenses in the future, and increase Sales Revenue and Gross Profit of Sales to increase the efficiency value and ranking of each store. CHIU,YUNG-HO CHEN,YU-CHUAN 邱永和 陳玉涓 2018 學位論文 ; thesis 79 zh-TW |
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碩士 === 東吳大學 === EMBA高階經營碩士在職專班 === 106 === This study adopts the Resample Data Envelopment Analysis (DEA)
proposed by Tone(2013) as the main research method to estimate store
efficiency based on information obtained from S company’s stores for the
period from 2016 to 2017. Past-Present Model is utilized to analyze the SBM
efficiency , the average of total efficiency and rank of quarterly and annual
from 2016 to 2017. Then the Past-Present-Future Model of Trend Analysis and
Weighed Average aim at forecasting the future efficiency score , input variable ,
output variable of quarterly and annual at 2018. In the research , the input
variable is Cost of Sales and Operating Expenses while the output variable is
Sales Revenue and Gross Profit. The empirical results are summarized as
follows:
1. In Past-Present-Future Model , we find that the method of the Weighed
Average is better than the Trend Analysis..
2. We know that the SBM Model is more likely to be overestimated than
Resample DEA.
3. The results showed that the rank of Taobao store , Tmall store and
Taichung NEXTION are top 3. It is suggested that stores with poor
ranking can reduce their Cost of Goods Sold and Operating Expenses in
the future, and increase Sales Revenue and Gross Profit of Sales to
increase the efficiency value and ranking of each store.
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author2 |
CHIU,YUNG-HO |
author_facet |
CHIU,YUNG-HO CHEN,YU-HUI 陳玉慧 |
author |
CHEN,YU-HUI 陳玉慧 |
spellingShingle |
CHEN,YU-HUI 陳玉慧 Performance Analysis of Fashion Brand :An Example of S Company |
author_sort |
CHEN,YU-HUI |
title |
Performance Analysis of Fashion Brand :An Example of S Company |
title_short |
Performance Analysis of Fashion Brand :An Example of S Company |
title_full |
Performance Analysis of Fashion Brand :An Example of S Company |
title_fullStr |
Performance Analysis of Fashion Brand :An Example of S Company |
title_full_unstemmed |
Performance Analysis of Fashion Brand :An Example of S Company |
title_sort |
performance analysis of fashion brand :an example of s company |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/4kbatz |
work_keys_str_mv |
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