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    Title: 生活型態與市場區隔之研究 : 以平板電腦消費者為例
    Other Titles: A study of lifestyle and market segmentation : a case study of tablet computor consumers
    Authors: 王振有;Wang, Chen-Yu
    Contributors: 淡江大學國際企業學系碩士在職專班
    黃志文;Huang, Chih-Wen
    Keywords: 平板電腦消費者;生活型態;市場區隔;Tablet Computor Consumers;Lifestyle;Market Segmentation
    Date: 2012
    Issue Date: 2013-04-13 10:57:30 (UTC+8)
    Abstract:   平板電腦已經改變人們接收資訊的方式,不僅影響多年來人們使用電腦的型態,更成為時尚潮流且開始融入生活與工作之中。過去,產業主要的競爭方式是以技術與價格為指標,而如今轉變成為必需滿足客戶需求的心理層面導向。然而,影響消費者行為變遷之於生活型態的因素為何?是產業競爭必需探究分析,進而作出差異化的商品與行銷策略。區隔目標市場與消費族群進而達到滿足需求的產品,才是商品銷售最終目的。
      因此,本研究將以平板電腦的消費者為研究對象,藉由生活型態與人口統計變數,試著探討消費者之生活型態的差異、與彼此之間的關連。研究以問卷與便利抽樣方式進行,發放203份問卷,收回有效問卷203份,有效回收率100%。資料分析方法採取敍述性統計、因素分析與集群分析。
      利用因素分析,自20題項的AIO量表萃取出六種生活型態因素的構面。分別為:
    「品牌崇尚因素」
    「性格自律因素」
    「社交創新因素」
    「衝動行事因素」
    「追尋刺激因素」
    「重視家庭因素」
    再以集群分析方法將消費者有效劃分出三個區隔集群:
    集群一:『時尚自律集群』
    集群二:『生活規律集群』
    集群三:『衝動流行集群』
    最後,依據分析結果針對各個區隔提出建建議,以期提供依據不同集群的行銷建議或策略之參考。並對本研究之受限與不足之處提出對後續相關研究的參酌和建議。
    Tablet computers have changed the way people to receive information, not only affected the pattern of using computers for many years, but also became the fashion trend and involved people’s daily life and work. In the past, industry was only focus on the effectiveness of technical and price competition, but now, how to satisfy consumers’ needs become more and more important. Therefore, “What are the factors that have influenced on consumers’ behavior in lifestyle?” it is the must-done research for the industrial competition and different or unique merchandise and marketing strategy could be established accordingly. Segmenting the target markets and consumer groups by product is the final objective of selling.
    This study is to target on the tablet computer users, through the variables of lifestyle and demographic, and trying to explore the differences in lifestyles of consumers, as well as the links to each other. By using convenience sampling, 203 questionnaires were distributed with 100% response rate of 203 valid questionnaires. Data analysis were included Descriptive Statistics, Influence Factors Analysis and Cluster Analysis.
    By using influence factor analysis, 6 lifestyle factors have been selected as follows:
    brand advocating factor
    character self-discipline factor
    social innovation factor
    impulse acting factor
    seek exciting factor
    family oriented factor
    Then, using clusters analysis method to divide consumers into three clusters:
    clusters 1 : fashion and self-discipline clusters
    clusters 2 : life routine clusters
    clusters 3 : trendy impulse clusters
    Finally, based on the analysis results, we made recommendations for each clusters for
    its marketing strategies. Furthermore, for the limitations and shortcomings, we also made
    recommendations and suggestions for future researching and studying.
    Appears in Collections:[國際企業學系暨研究所] 學位論文

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