簡易檢索 / 詳目顯示

研究生: 劉家郡
論文名稱: 消費者行動購物之體驗價值對滿意程度之影響
The Effect of Consumer’s Experiential Value on satisfaction in Mobile Shopping
指導教授: 蘇友珊
Su, Yu-Shan
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 101
中文關鍵詞: 行動購物功能性價值情緒性價值社會性價值科技準備度科技接受模式使用滿意度
英文關鍵詞: m-commerce, Technology Readiness, Function Value, Emotional Value, Social Value, TAM, User satisfaction
論文種類: 學術論文
相關次數: 點閱:171下載:12
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 隨著智慧型手機的普遍以及平板電腦的崛起,我們的社會已經逐漸走向行動商務的時代,不論是使用購物網站、社群網站、遊戲、購票等等,都可以利用行動裝置來隨時隨地進行這些活動。行動購物為行動商務之中的ㄧ環,現在也已經廣泛的成為消費者的消費方式之ㄧ。
    因此,本研究將科技準備度、知覺有用性、知覺易用性以及功能性價值、情緒性價值、社會性價值來探討消費者對行動購物使用滿意程度之影響。研究對象為台灣曾經使用過智慧型手機或是行動裝置來進行消費之消費者,回收了180份問卷為預試的樣本,接著再發放正式問卷,總共回收有效問卷366份,有效問卷回收率為85.71%。並以結構方程式模型去驗證研究假說之內容。本研究結果發現:
    (1)使用行動購物之消費者的科技準備度對知覺有用性以及知覺易用性具有顯著的正向影響。
    (2)使用行動購物之消費者的知覺有用性對於知覺有用性有顯著的正向影響。
    (3)使用行動購物之消費者的知覺有用性對於功能性價值、情緒性價值以及社會性價值具有顯著的正向影響。
    (4)使用行動購物之消費者的功能性價值及情緒性價值對使用滿意度具有顯著的正向影響。
    因此,業者將如何將消費者的體驗價值提升,吸引消費者使用行動購物來進行消費,讓消費者有良好的使用經驗,確實的感受到行動購物的好處,提高消費者的滿意度。

    Advancements in wireless communications and the popularization of the Smart Phone and Tablet our society has accelerated the growth of mobile commerce (m-commerce). Whether the shopping web, Social Networking Sites, Game, Tickets booking and so on you can use mobile devices to carry out these activities anywhere and anytime. The mobile-shopping is the part of the mobile commerce. It is one of the popular consumption patterns for people.

    This study investigates how e-consumers feel when they shopping by e-commerce. The work used the technology readiness, Perceived Usefulness, Perceived Ease of Use, experiential value (Function Value, Social Value and Emotional Value), and user satisfaction. The objects of study were the people who have used mobile-shopping in Taiwan. An internet questionnaire survey method was adopted in this study, there were 366 effective questionnaires collect, achieving an effective questionnaires return rate at 85.71%.Structural Equation Models were applied as the analyzing tool in hypotheses.
    The results showed that:
    (1)The Technology Readiness have positive effect on the PU and PE.
    (2)The PE have positive effect on the PU.
    (3)The PU have positive effect on the Function Value, Social Value and Emotional Value.
    (4)The Function Value and Emotional Value have positive effect on user satisfaction.

    目錄 謝誌 I 中文摘要 II Abstract III 目錄 IV 表目錄 VI 圖目錄 VIII 第一章、緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究流程 5 第四節 研究範圍與限制 6 第五節 名詞釋義 6 第二章、文獻探討 7 第一節 行動商務 8 第二節 科技準備度 13 第三節 體驗價值 16 第四節 科技接受模式 21 第三章 研究設計 27 第一節 研究架構與假設 27 第二節 研究對象與方法 31 第三節 變數操作型定義與衡量問項 32 第四節、資料處理方法 37 第四章、實證資料分析 46 第一節、問卷預試分析(Item Analysis) 46 第二節、敘述性統計分析 48 第三節、結構方程式模型(SEM)分析 51 第四節、研究假設驗證 73 第伍章 結論與建議 75 第一節 主要研究發現 75 第二節 研究貢獻 77 第三節 研究限制與未來研究方向 79 參考文獻 81 附錄ㄧ:預試問卷 94 附錄二:正式問卷 98

    參考文獻
    ㄧ、中文文獻
    Kyle,2011。Android於2012年於智慧型手機市佔率達49%。科技產業資訊室。取自http://cdnet.stpi.narl.org.tw/techroom/market/eetelecomm_mobile/2011/eetelecomm_mobile_11_014.htm
    吳明隆(2000)。 SPSS統技應用實務。出版地點:松崗。
    林美孜,2013。行動購物商機 57%消費者用過行動裝置購物發佈。資策會。取自http://www.iii.org.tw/service/3_1_4_c.aspx?id=696&AspxAuto
    DetectCookieSupport=1
    林靖文,2011。運用科技準備度與科技接受模型探討公共圖書館使用數位服務科技之意願-以國立臺中圖書館為例(碩士論文)。取自 http://web.lis.ntu.edu.tw/main/academic_chinese_doctor_3.php?Cat=2&kind=2&I=425&item=0
    洪嘉蓮,2013。台灣成為「行動星球」。《30》雜誌,109。取自http://www.30.com.tw/article_content_23828.html
    俞洪亮(2007)。商管研究資料分析SPSS的應用。出版地點:華泰文化事業股份有限公司。
    張羿文,2011。行動商務的趨勢在於人性,而非科技!。台灣行動商務時代。取自:http://www.gs1tw.org/twct/gs1w/pubfile/2011_Spring_p4-14.pdf
    張偉豪(2011)。SEM論文寫作不求人。臺北市:鼎茂圖書。
    財團法人資訊工業策進會(2013)。服務創新體驗設計系統研究與推動計畫。經濟部技術處。取http://www.iii.org.tw/m/Newsmore.aspx?id=1165
    &AspxAutoDetectCookieSupport=1
    陳祈儒(2013年8月13日)。「2013 我們的行動星球:台灣」研究調查報告【理財網】。取自http://www.moneydj.com/kmdj/news/NewsViewer.aspx?a=8a9b0a50-33d0-4176-8a44-0664b0abe227
    郭生玉(2012)。心理與教育研究法。出版地點:精華書局。
    郭皓政(2002)。結構方程式-LISREL的理論、技術與應用。台北:雙葉書廊。
    黃俊英(2001)。多變量分析。台北:華泰。
    資策會, 2012。行動行銷新趨勢:從線上商務(O2O)到行動商務(M2O)。取自http://www.find.org.tw/find/home.aspx?page=trend&id=1529
    潘瑛如、方崇雄,(2011)。部分最小平方路徑分析法在教育研究上的應用。教育與發展,27,95-108。
    二、英文文獻
    Alain Yee-Loong Chong (2013).Mobile commerce usage activities: The roles of demographic and motivation variables. Technological Forecasting & Social Change,80, 1350–1359.
    Ajimon George & G.S. Gireesh Kumar (2013). Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined. Global Business Review, 14(4), 627–638.
    Anastasi, A. (1988). Psychological testing (6th ed.). New York: Macmillan.
    Bruner GC, Kumar A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research,58.553–558.
    Barnes, S.J. (2002). The mobile commerce value chain: Analysis and future developments. International Journal of Information Management, 22, 91–110.
    Byrne, B. M.(2001).Structural equation modeling with LISREL,PRELIS and SIM-PLIS: Basic concepts, applications and programming. Mahwah, NJ: Lawrence Erlbaum Associates.
    Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.
    Babin, Barry J. and William R. Darden (1995). Consumer Self-Regulation in a Retail Environment. Journal of Retailing, 71(1), 47–70.
    Bentler, P.M.(1995).EQS structural equations program manual: Multivariate Software.
    Bollen, K. A. (1989) . Structural equations with latent variables. New York: JohnWiley & Sons.
    Bollen, K. A, & Lennox, R. (1991).Coventional wisdom on measurement: A
    structural equation perspective. Personality and Social Psychology Bulletin, 110(2), 305-314.
    Batra, Rajeev and Olli T. Ahtola (1991). Measuring the Hedonic and Utilitarian Sources of Consumer Attitudes. Marketing Letters, 2, 159–170.
    Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159-170.
    Bagozzi,R.P & Yi.Y.(1990).Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. Journal of Applied Psychology, 75(5),547-560.
    Bagozzi, Richard P.&Youjae Yi (1988). On the Evaluation of Structural     Equation Models. Journal of the Academy of Marketing Science, 16,76-94.
    Bagozzi, R. P.(1981), Attitudes. Intentions and Behavior : A Test of Some Key -ypotheses. J. Personality and Social Psychology, 41, 607-627.
    Chen, L.Y. and Lauffer, W.H.(2012).The impact of Mobile Shopping Quality on Customer Satisfaction and Purchase Intension: The IS Success Based Model. The conference of systemic, cybernetics and informatics. Symposium conducted at the meeting of Orlando.
    Coursaris, C., Hassanein, K., (2002). Understanding M-commerce A consumer-centric Model. Quarterly Journal of Electronic Commerce 3 (3), 247–271.
    Chen L., Gillenson M.L., Sherell D.L. (2002). Enticing online consumers:an extended technology acceptance perspective, Information & Management 39,705–719.
    Clarke, I. (2001). Emerging Value Proposition for M-commerce. Journal of Business Strategy, 18(2), 133-144.
    Chin, W. W., & Newsted, P. R. (1999). Structural equation modelling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research. 307–341.
    Crowley, Ayn E., Eric R. Spangenberg and Kevin R. Hughes (1992). Measuring Hedonic and Utilitarian Dimensions of Attitudes Toward Product Categories. Marketing Letters, 3(3), 239–249.
    Churchill, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(4), 491−504.
    eMarketer. (2001). Wireless Web growing around the world. Retrieved from http://www.nua.ie/surveys/index.cgi?f=VS&art id=905357175&rel=true, accessed10 September 2001.
    Durlacher Research. (2000). Internet portals. London: Durlacher Research.
    Davis FD. Perceived usefulness (1989). Perceived ease of use, and user acceptance of information technology. MIS Quarterly,13, 319–39.
    Davis FD, Bagozzi RP, Warshaw PR. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management and Science,35(8),982-1003.
    Davis,F.D.,(1986).Technology Acceptance Model for Empirically Testing New End User Information Systems: Theory and Results. Sloan School of Management. Massachusetts Institute of Technology.
    E.M. Rogers (1995), Diffusion of Innovations, (4th ed.), The Free Press, New York.
    Everitt,B.,Dunn,G.(2001). Applied multivariate data analysis.New York:Oxford.
    Flynn L.R., Goldsmith R.E. (1993).A validation of the Goldsmith and Hofacker innovativeness scale.Educational and Psychological Measurement 53, 1105–1116.
    Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440–452.
    Fishbein M, Ajzen I. Belief (1975). Attitude, intention, and behavior: an introduction to theory and research. Reading, MA: Addison-Wesley.
    Gallarza, M.G., Gil-Saura, I.G.( 2006). Value dimensions, perceived value, satisfactionand loyalty: an investigation of university students’ travel behaviour. Tourism Management 27, 437–452.
    Hair,J.,Black,B.,Anderson, R.e., & Tathan,R.L(2009). Multivariate data analysis (7th ed.).Englewood Cliffs, NJ: Prentice Hall.
    Hee-Woong Kim & Hock Chuan Chan &Sumeet Gupta (2007).Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems,43,111 –126.
    Hair,J.F.,Anderson,R.E.,Tathan,R.L.,& Black,W.C.(2006).Multivariate data analysis (6th ed.).Upper Saddle River,NJ: Pearson Education Inc.
    Hawkins, D.I.,Best, R.J.,&Cony, K.A.(2001). Consumer behavior: building marketing strategy (8th ed). NY: McGraw Hill
    H.S. Kwon, L. Chidambaram (2000). A test of the technology acceptance model: the case of cellular telephone adoption, in: Proceedings of the 33rd Hawaii International Conference on System Sciences.
    Holbrook, M.B. (1999). Introduction to consumer value. In: Holbrook, M.B. (Ed.), Consumer Value: A Framework for Analysis and Research. Routledge, London, New York, 1–28.
    Hu, L.T., & Bentler, P.M.(1999).Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling,6(1),1-55.
    Holbrook, Morris B. (1994). The Nature of Customer Value: An Axiology of Services in the Consumption Experience, Service Quality: New Directions in Theory and Practice, Roland T. Rust and Richard L. Oliver, (Eds.), Newbury Park, CA: Sage.21–71.
    Juan D. Borrero & Shumaila Y. Yousafzai & Uzma Javed &Kelly L. Page(2014). Expressive participation in Internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use. Computers in Human Behavior ,30, 39–49.
    Johnson, B., & Christensen, L. (2008).Educational research : Quantitative, qualitative, & mixed approaches (3rd ed.).Thousand Oks, CA:Sage.
    Jap, S. D. (2001). Pie-sharing in complex collaboration contexts. Journal of Marketing Research, 38(1), 86−99.
    Kiseol Yang (2012).Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services,19, 484–491.
    Kim, H.W. Chan, H.C., Gupta, S. (2007). Value-based adoption of mobile Internet: an empirical investigation. Decision Support Systems, 43,111-126.
    Kline, RB.(2005). Principles and practice of structural equation modeling Guilford. New York, 366.
    Liyi Zhang &Jing Zhu & Qihua Liu (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior,28, 1902-1911.
    Lin P.C & Huang Y.H (2012). The influence factors on choice behavior regarding green products based on the theory of consumption values. Journal of Cleaner Production ,22, 11-18.
    Liana Victorino, Ekaterina Karniouchina, Rohit Verma (2009).Exploring the Use of the Abbreviated Technology Readiness Index for Hotel Customer Segmentation. Cornell Hospitality Quarterly,50(3),342-359.
    Lee, C.S., Bang, S.B.( 2004). The effects of shopping value on online purchasing intention: focus on product attribute importance as intervening variables. Korean Marketing Research, 19 (2), 41–69.
    Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: an illustration from a business-tobusiness service context. Journal of the Academy of Marketing Science, 32(3), 293-311.
    Lee, C.S., Bang, S.B.( 2004). The effects of shopping value on online purchasing intention: focus on product attribute importance as intervening variables. Korean Marketing Research 19 (2), 41–69.
    Lapierre, Jozée (2000). Customer-perceived value in industrial contexts. The Journal ofBusiness and Industrial Marketing, 15(2/3), 122–145.
    Loyd .B.H., C. Gressard,( 1984). Reliability and factorial validity of computer attitude scales, Educational and Psychological Measurement, 44, 501–505.
    Mulaik,S.A.(2009). Linear causal modeling with structural equations, Chapman & Hall/CRC. Multivariate Data Analysis (6th ed).New York: Macmillan.
    Martina G. Gallarza, Irene Gil Saura (2006). Value dimensions, perceived value, satisfaction and loyalty: an investigation of university students’ travel behavior. Tourism Management, 27(3), 437-452.
    Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39-56.
    Mick, David Glenn and Susan Fournier (1998), Paradoxes of Technology:
    Consumer Cognizance, Emotions, and Coping Strategies. Journal of Consumer Research, 25, 123-47.
    McIntosh, A.R., Bookstein, F.L., Haxby, J.V., & Grady, C.L. (1996). Spatial
    pattern analysis of functional brain images using partial least squares.
    Neuro image, 3,143–157.
    MacCallum, R.C., Browne, M. W.,& Sugawara, H.M.(1996).Power analysis and determination of sample size for covariance structure modeling. Psychological Methods,1(2),130-149.
    Mano, Haim and Richard L. Oliver (1993). Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling and Satisfaction. Journal of Consumer Research, 20, 451–466.
    Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling, and satisfaction. Journal of Consumer Research, 20(3), 451-466.
    Munger C.F., Loyd B.H.,(1989).Gender and attitudes towards computers and calculators: the relationship to math performance, Journal of Educational Computing Research ,5, 167–177.
    Midgley D.F., Dowling G.R. (1987). Innovativeness: the concept and its measurement, Journal of Consumer Research, 4, 229–242.
    Nielsen (2011) .Here's How Consumers Are Shopping With Their Phones. Retrieved from http://www.businessinsider.com/bii-report-heres-how-consumers-are-
    shopping-with-their-phones-2012-9#ixzz2leE5MBE9
    Nihat Erdogmus & Murat Esenb (2011). An Investigation of the Effects of Technology Readiness on Technology Acceptance in e-HRM. Procedia Social and Behavioral Sciences, 24,487-495.
    Nadia Zainuddin (2011).Value creation in social marketing for the continued use of wellness services. Australian and New Zealand Marketing Academy Conference, 1-8.
    Nikos Tsikriktsis (2004).A Technology Readiness–Based Taxonomy of Customers- A Replication and Extension. Journal of Service Research,7(42),3-4.
    Parasuraman, A. (2000). Technology readiness index: A multiple-item scale to
    measure readiness to embrace new technologies. Journal of Service Research,2(4), 307-320.
    Parasuraman, A., Zeithaml,V.A.and Berry, L. L.(1996). The behavioral consequences of service quality, Journal of Marketing,60,31-46.
    Ritter, T. & Walter, A. (2012). More is not always better: The impact of relationship functions on customer-perceived relationship value. Industrial Marketing Management ,41, 136-144.
    Raymond Adjei Boadi and Avez Gause Shaik (2006).M-commerce Breakthrough in Developing Countries. Retrieved from http://epubl.ltu.se/1653-0187/2006/17/LTU-PB-EX-0617-SE.pdf
    Ravi Kalakota & Marcia Robinson (2001).E-business 2.0: Roadmap for Success. Retrieved from http://books.google.com.tw/books/about/E_business_2_0.html?id=fkXSp2Me0KAC&redir_esc=y
    Smith, J.B., Colgate, M. (2007). Customer value creation: a practical framework. Journal of Marketing Theory and Practice 15 (1), 7–23.
    Spiteri, J. M., & Dion, P. A. (2004). Customer value, overall satisfaction, end-user loyalty, and market performance in detail intensive industries. Industrial Marketing Management, 33(8), 675−687.
    Schumacker, R.E., & Lomax, R.G. (2004). A beginner's guide to structural
    equation modeling (Vol. 1): Lawrence Erlbaum.
    Sheth,J.N.,Nweman B.I.,&Gross B.L.(1991).Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22, 159-170.
    Steiger, J.H.(1989).EzPATH: A supplementary module for SYSTAT and SYSGRAPH [computer program].Evanston, IL:SYSTAT.
    Scheier. M.F., C.S. Carver (1987).Dispositional Optimism, and physical well-being: the influence of generalized outcome expectancies on health. Journal of Personality and Social Psychology 55, 169–210.
    Short, John, Ederyn Williams, and Bruce Christie (1976). The Social
    Psychology of Telecommunications. London: John Wiley.
    Tiwari R., Buse S. (2007). The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector. Retrieved from http://d-nb.info/985242191/34
    Tunga F.C, Chang S. C, Chou C.M (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International journal of medical informatics,77,324–335.
    Tsikritis.N. (2004). A technology readiness-based taxonomy of customers. Journal of Service Research 7 (1), 42–52.
    Triandis, H.C.(1997).Interpersonal Behavior. Brooks/cole. Monterey,CA.
    Taylor, S.& Todd,P. A. (1995). Understanding information technology usage : A test of competing models. Information Systems Research, 6(2),144-176.
    Taylor S., Todd P. (1995).Understanding information technology usage: a test of competing models.Information Systems Research, 6 (2), 144–176.
    Taylor S.E., Kemeny M.E., Aspinwall L.G.,. Schneider S.G,Rodriguez R, Herbert M. (1992).Optimism, coping, psychological distress, and high-risk sexual behavior among men at risk for acquired immunodeficiency syndrome (AIDS).Journal of Personality and Social Psychology, 63, 460– 473.
    Venkatesh. V, M.G. Morris, G.B. Davis, F.D. Davis (2003). User acceptance of information technology: toward a unified view. MIS Quarterly ,27 (3) .425-478.
    Venkatesh.V, Davis FD. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage and Science, 46,186–204.
    Venkatesh V. (1999).Creating favorable user perceptions: exploring the role of intrinsic motivation,.MIS Quarterly, 23 (2).
    Woodall, T.(2003). Conceputalising ‘value for the customer’: an attributional, structural and dispositional analysis. Academy of Marketing Science Review,12, Retrieved from http://www.amsreview.org/articles/woodall12-2003.pdf.
    Woodruff, R. B. (1997). Customer value: The next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139−154.
    Woodruff, R. B., & Gardial, S. F. (1996). Know your customer: New approaches to understanding customer value and satisfaction. Cambridge, MA: Blackwell Business.
    Wold, H. (1966). Estimation of principal components and related models by
    iterative least squares. In P.R. Krishnaiaah (Ed.). Multivariate Analysis.391-420.New York: Academic Press.
    Wold, H. (1975). Path models with latent variables: The NIPALS approach. In H. M. Blalock, A.Aganbegian, F. M. Borodkin, R. Boudon, & V. Capecchi (Eds.), Quantitative sociology: International perspectives on mathematical and statistical modeling (pp. 307–357).NewYork: Academic.Zeithaml, V. A.,
    Parasuraman, A., & Berry, L. (1990). Delivering quality service: Balancing customer perceptions and expectations. New York: The Free Press.
    Zeitham V.A.l (1988). Consumer perceptions of price, quality and value: a means-end model and synthesis of evidence. Journal of Marketing ,52 (3), 2-22.

    下載圖示
    QR CODE