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研究生: 林倇竹
Lin, Wan-Chu
論文名稱: 消費者自電商購買行李箱產品之屬性偏好研究
The Research on Attribute Preference of Consumers Purchasing Luggage from E-commerce
指導教授: 莊双喜
chuang, Shuang shii
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 50
中文關鍵詞: 聯合分析法產品屬性行李箱
外文關鍵詞: Conjoint Analysis, Product Attribute, Luggage
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  • 近年來,網路普及與智慧型手機的使用人數增加,電商產業蓬勃發展,促使消費者使用手機購物的頻率提升。在技術支持與消費者行為改變下,電商發展愈加競爭,眾多品牌紛紛加入電商產業。而旅遊產業的發展也不容小覷,許多企業著重發展旅遊產業的策略,每年國人出國人口數持續上升,由此可知,行李箱的需求日漸增加。因此,本研究將透過聯合分析法,探究消費者自線上購買行李箱時,重視之產品屬性水準及最佳產品屬性組合,提供業界和學術做參考。
    研究結果顯示,全體受測者自電商購買行李箱之屬性偏好依序為產品評價、行李箱材質、行李箱外觀、產品價格與品牌形象,而最佳產品屬性組合為「低價格、素面外觀、硬殼、優良評價、CENTURION」。
    根據研究結果,行李箱廠商和電商平台可針對最佳產品組合進行產品設計與行銷,而各廠商也應維護自身產品的評價,在消費者間擁有優良的產品評價,勢必能為行李箱廠商及電商帶來營收的成長。

    Under the technical support and the change of consumer behavior, e-commerce has grown up quickly and become more competitive. Many brands have joined the e-commerce industry to earn profits. Likewise, the development of the tourism industry cannot be underestimated. Lots of companies keep expanding their tourism industry strategies, and the number of people in Taiwan going abroad continues to rise every year, so the demand of luggage is on the increase. Therefore, this study will use the conjoint analysis to understand product attribute and the best product attribute combination of luggage from e-commerce.
    The results show that product comment is the most important attribute for customers, and other attributes listed in sequence below: material, appearance, price and brand image.
    According to results, each brand should strive to enhance and maintain its own product comment. Luggage manufacturers can design products for the best product mix. Keeping a good brand image will surely maintain the competitiveness in the market.

    摘要 I Extended Abstract II 誌謝 VI 表目錄 IX 圖目錄 XI 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 5 第三節 研究範圍與對象 5 第二章 文獻回顧與探討 6 第一節 電子商務 7 第二節 產品屬性理論 8 第三節 聯合分析法 11 第四節 市場區隔理論 12 第三章 研究設計與研究方法 13 第一節 研究架構 13 第二節 前測問卷設計與屬性篩選 14 第三節 屬性水準定義與建立受測體 16 第四節 成本效用值與屬性重要性權重 18 第四章 資料分析與研究結果 19 第一節 樣本之描述性統計分析 19 第二節 全體樣本之聯合分析結果 22 第三節 人口統計區隔變數之聯合分析結果 26 第五章 結論與建議 38 第一節 研究結論 38 第二節 研究貢獻與管理意涵 39 第三節 未來研究建議與方向 40 參考文獻 41 中文文獻 41 英文文獻 42 附錄一 前測問卷 46 附錄二 正式問卷 48

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