邱皓政Chiou, Hawjeng許基業Ko, Chi-Yeh2019-09-032019-06-162019-09-032016http://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G0103590128%22.&%22.id.&http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/94822隨著網際網路的普及，進而提升了消費者上網購物的偏好，迫使零售業者去適應並且改變從貨架到全球網際網路的產品銷售模式。本研究即針對美國境內的窗飾產業，在環境、人口和經濟等因素如何影響網路購物的銷售，進行實徵分析。 本研究主要是對於Ａ公司在美國五十個州的網路銷售狀況進行分析研究。文中首先簡要介紹窗飾產業及其背景，再來則是說明各式窗飾產品的功能，其中包含產品特色與效益，接著則介紹Ａ公司與公司背景。本研究採用Ａ公司所提供的數據來分析網際網路銷售（依變數）與自變數的相關性，包含美國各州的環境、人口和經濟等變數，藉以了解這些預測因素對於不同類型窗飾產品銷售狀況的影響為何。 最後，匯集數據並使用分析工具：描述性統計，相關係數和多元回歸分析，以強調數據並尋找每個因素對於不同類別窗飾產品所產生的影響。根據相關分析和回歸分析的結果，某些種族群體，非西班牙裔白人，黑人和亞洲人影響銷量比其他族群為多。此外，數據還顯示，亞洲人對於透光與不透光產品的喜好，而黑人則對於半透光的產品有高度的偏好。就區域性來看，數據顯示銷售最佳的區域屬美國南部，但對於新產品最佳試水溫的區域則是在紐約，賓夕法尼亞州和新澤西州的東北地區。然而，年平均氣溫比中產階級的家庭收入對於窗飾產品的整體銷售更有影響力，氣候晴朗的天數將減少一定的窗簾銷售。此研究的實徵分析結果不僅可以幫助網際網路的銷售，亦有助於零售商店的銷售。最後，除了深入討論本研究的發現之外，本研究也針對管理意涵與未來研究建議提出討論。The introduction of the internet has increased the habits of online purchasing as consumers’ preference. This forces retailers to adapt and change their way of merchandising their products from the store shelf to the world of the internet. How do factors like the environmental, demographic, and economic affect online business? This research studies the online sales of the hard window covering industry within the United States. This research is a study of Company A’s customers’ online sales in 50 states within the country of United States. The first chapter gives a brief introduction to the Window Covering Industry and their background. The next chapter introduces different varieties of window coverings and explains their functionality including their features and benefits. Next is the introduction of Company A and its background. This research uses the data provided by Company A to analyze the correlations between online sales (dependent variables) and independent variables including environment, demography, and economics in the United States. Lastly, data are pooled and analytical tools; descriptive statistics, correlation coefficient, and multiple regression analysis; are used to emphasize the data and to search out their impact of each factor on the sales of different categories of hard window coverings. The results of the correlation analysis and regression analysis reveal that certain ethnic groups, Non-Hispanic White, Black and Asian affect the sales more than others. The data also suggest that Asians favor both Light Filtering and Room Darkening product categories and Blacks have a high preference of product categories in Light Blocking. Regional wise, the data also suggest that the best sales are in the South of United States. But the best testing ground for new products would be in the Northeast region of New York, Pennsylvania, and New Jersey. The average annual temperature is more influential on the overall sales of window coverings than the median household income. And yet, the number of clear days in the sky would decrease the sales of certain window coverings. This result is much more than anticipated and not only helps the sales on the internet, but also the sales in the retail stores.窗飾窗簾相關係數回歸分析window treatmentwindow coveringcorrelation coefficientmultiple regression analysis