| Summary: | 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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