跳到主要內容

簡易檢索 / 詳目顯示

研究生: 高宗郁
Tsung-yu Kao
論文名稱: 以線上消費者評論呈現形式與電子商務網站內容探討消費者之購買意圖
指導教授: 李小梅
口試委員:
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理學系
Department of Information Management
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 104
中文關鍵詞: 線上消費者評論電子商務行銷4P’s消費者行為
外文關鍵詞: Online customer review, E-commerce, Marketing mix, Consumer behavior
相關次數: 點閱:6下載:0
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
  • 近年來,電子商務產業蓬勃發展,許多企業紛紛加入競爭行列,線上購物則成為各家廠商的兵家必爭之地,而線上購物存在著許多挑戰與發展的不確定因素,主要是因為線上購物環境所帶給消費者的不確定性與購買風險,因此線上零售商必須採取不同的策略以提高消費者的信任。
    本研究從電子商務網站內容的角度出發,運用Pee (2016)與Cui, Lui, & Guo (2012)的研究模型,探討線上消費者評論的「評論數量」、「評論評分」如何影響消費者的「線上評論感知有用性」,以及後續影響「購買意圖」。並且導入電子商務網站中行銷組合4P’s的「產品資訊」與「產品推廣」兩項構念,作為本研究之調節變數,檢驗兩者是否以及如何降低「線上評論感知有用性」對於「購買意圖」的影響。
    本研究以線上消費者評論呈現形式作為研究主體,透過分組實驗設計的方式,引導受測者進入不同的情境設計,以評估不同呈現形式對於線上評論感知有用性的影響,以及對於筆記型電腦的購買意圖與調節效果是否存在。本研究採用線上隨機發放問卷的方式,在Facebook社群平台共回收了590份樣本。
    資料分析結果顯示,消費者對於評分高的產品所產生的線上評論感知有用性大於數量多的產品,而且線上評論感知有用性正向的影響了對於產品的購買意圖,但是對於兩項調節因素,則是只有產品推廣存在調節效果。
    最後提出本研究的建議,期望能夠幫助台灣的電子商務業者更了解消費者,並針對這些結果提出更好的網頁內容架構,協助產品在線上的銷售。


    The e-commerce industry has flourished in recent years, and many companies have begun competing in this industry, making online shopping a battleground for a variety of manufacturers. There are many uncertain factors resulting from challenges and development existing in online shopping, mainly because the environment of shopping online brings up uncertainties and shopping risks for the consumers. Therefore, online retailers must adopt different strategies to win the consumers’ trust.
    This study, based on the content of e-commerce websites, uses the research model by Pee (2016) and Cui, Lui, & Guo (2012) to explore how the “volume of reviews” and “valance of reviews” of online consumers influence consumer's "perceived usefulness of online reviews" and the subsequent "purchase intentions." The study also introduces the ideas of "product information" and "product promotion" from the marketing theory of 4P's commonly seen in the e-commerce website, serving as the moderating variables of this study, and verifying whether and how the two ideas reduce the influence of "perceived usefulness of online reviews" on the "purchase intentions".
    This study uses how the online consumers present their comments as the main body in the research, and guides the research subjects into differently designed scenarios through the grouped experiment design to evaluate the influence of different presentation forms on perceived usefulness of online reviews, and verify whether consumers’ intention of purchasing laptops and moderating effects truly exist. In this study, a total of 590 samples were collected from the Facebook community platform using a random questionnaire.
    The results of the data analysis show that the consumers had greater perceived usefulness of online reviews targeted at highly rated products than the products with high sales, and the perceived usefulness of online reviews positively influenced the purchase intentions of products. However, out of the two moderating factors, only product promotion featured moderating effects.
    Finally, the study proposes some suggestions in the hope to help those in the Taiwan's e-commerce industry to better understand consumers and propose better web content structures to assist the online sales of products.

    目錄 第一章 緒論 1 1-1 研究背景與動機 1 1-2 研究目的 3 1-3 研究流程 3 第二章 文獻探討 6 2-1 線上消費者評論 6 2-2 行銷組合 4P’S框架 10 2-3 線上評論感知有用性 14 2-4 購買意圖 16 第三章 研究方法 18 3-1 研究架構 18 3-2 研究假說 19 3-3 構念定義與衡量 21 3-4 研究設計 22 第四章 資料分析與結果 31 4-1 前測分析 31 4-2 正式實驗樣本分析 32 4-3 信度與效度分析 41 4-4假說檢定 44 4-5 小結 50 第五章 結論與建議 52 5-1 結論 52 5-2 建議 55 5-3 研究限制 58 5-4未來研究方向 之建議 59 參考文獻 60 附錄一 研究問卷(評論量實驗組) 66 附錄二 研究問卷(評論評分實驗組) 72 附錄三 研究問卷(皆無評論實驗組) 78 附錄四 研究問卷(評論量對照組) 82 附錄五 研究問卷(評論評分對照組) 87 附錄六 研究問卷(皆無評論對照組) 92

    英文文獻
    Allen, E., & Fjermestad, J. (2001). E-commerce marketing strategies: an integrated framework and case analysis. Logistics information management, 14(1/2), 14-23.
    Anderson, E. W., & Salisbury, L. C. (2003). The formation of market-level expectations and its covariates. Journal of Consumer Research, 30(1), 115-124. Andreini, D. (2005). The Evolution of Theory and Practice of Marketing in Light of Information Technology. In S. Krishnamurthy (Ed.), Contemporary Research in E-Marketing, Volume 2 (pp. 168-215). Hershey, PA: IGI Global. Ba, S., & Paul A. Pavlou. (2002). Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior. MIS Quarterly, 26(3), 243-268. Bagozzi, R. P., & Burnkrant, R. E. (1979). Attitude organization and the attitude–behavior relationship. Journal of personality and social psychology, 37(6), 913.
    Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
    Bakos, Y. (2001). The emerging landscape for retail e-commerce. Journal of economic perspectives, 15(1), 69-80.
    Bhatt, G. D., & Emdad, A. F. (2001). An analysis of the virtual value chain in electronic commerce. Logistics Information Management, 14(1/2), 78-85.
    Borden, N. H. (1964). The concept of the marketing mix. Journal of advertising research, 4(2), 2-7.
    Bronner, F., & De Hoog, R. (2010). Consumer-generated versus marketer-generated websites in consumer decision making. International Journal of Market Research, 52(2), 231-248. Bucklin, L. P., Ramaswamy, V., & Majumdar, S. K. (1996). Analyzing channel structures of business markets via the structure-output paradigm. International journal of research in marketing, 13(1), 73-87.
    Bughin, J., Doogan, J., & Vetvik, O. J. (2010). A new way to measure word-of-mouth marketing. McKinsey Quarterly, 2, 113-116. Chatterjee, P. (2001). Online reviews: do consumers use them?. Association for Consumer Research, 129-134. Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet research, 18(3), 229-247.
    Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of marketing research, 43(3), 345-354.
    Cho, Y., Im, I., Hiltz, R., & Fjermestad, J. (2002, January). An analysis of online customer complaints: implications for web complaint management. In Proceedings of the 35th Annual Hawaii International Conference on System Sciences (pp. 2308-2317). IEEE. Coke, J. S., Batson, C. D., & McDavis, K. (1978). Empathic mediation of helping: a two-stage model. Journal of personality and social psychology, 36(7), 752.
    Cui, G., Lui, H. K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39-58.
    Daugherty, T., & Hoffman, E. (2014). eWOM and the importance of capturing consumer attention within social media. Journal of Marketing Communications, 20(1-2), 82-102.
    Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management science, 49(10), 1407-1424.
    Dominici, G. (2008). Holonic production system to obtain flexibility for customer satisfaction. Journal of Service Science and Management, 1(3), 251-254.
    Dominici, G. (2009). From marketing mix to e-marketing mix: a literature overview and classification. International journal of business and management, 4(9), 17-24.
    Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?—An empirical investigation of panel data. Decision support systems, 45(4), 1007-1016.
    Fishbein, M., & Ajzen, I. (1975). Intention and Behavior: An introduction to theory and research.
    Fjermestad, J., & Romano Jr, N. C. (2003). Electronic customer relationship management: revisiting the general principles of usability and resistance–an integrative implementation framework. Business Process Management Journal, 9(5), 572-591. Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). How online product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2), 217-232.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50. Friedman, B., Khan Jr, P. H., & Howe, D. C. (2000). Trust online. Communications of the ACM, 43(12), 34-40. Fultz, J., Batson, C. D., Fortenbach, V. A., McCarthy, P. M., & Varney, L. L. (1986). Social evaluation and the empathy–altruism hypothesis. Journal of personality and social psychology, 50(4), 761.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27(1), 51-90.
    Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.
    Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing science, 23(4), 545-560.
    Grazioli, S., & Jarvenpaa, S. L. (2000). Perils of Internet fraud: An empirical investigation of deception and trust with experienced Internet consumers. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 395-410.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
    Hajli, N., Lin, X., Featherman, M., & Wang, Y. (2014). Social word of mouth: How trust develops in the market. International Journal of Market Research, 56(5), 673-689.
    He, Y., & Oppewal, H. (2018). See how much we’ve sold already! Effects of displaying sales and stock level information on consumers’ online product choices. Journal of Retailing, 94(1), 45-57. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?. Journal of interactive marketing, 18(1), 38-52.
    Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.
    Hoffman, D. L., & Novak, T. P. & (1997). A new marketing paradigm for electronic commerce. Information Society, 13(1), 43–54. Hong, W., Thong, J. Y., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers' online shopping behavior: A cognitive fit perspective. Journal of management information systems, 21(3), 149-184.
    Huang, J., Hsiao, T. and Chen, Y. (2012), The effects of electronic word of mouth on product judgment and choice: The moderating role of the sense of virtual community, Journal of Applied Social Psychology, 42(9), 2326–2347. Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), JCMC526. Kalyanam, K., & McIntyre, S. (2002). The e-marketing mix: a contribution of the e-tailing wars. Journal of the academy of marketing science, 30(4), 487-499. Keen, P. G. (1997). Are you ready for “Trust” Economy. ComputerWorld, 31(16), 80. Kim, H. W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust?. Electronic Commerce Research and Applications, 11(3), 241-252. Koh, N. S., Hu, N. and Clemons, E. K. (2010), Do online reviews reflect a product’s true perceived quality? An investigation of online movie reviews across cultures. Electronic Commerce Research and Applications, 9(5), 374–385.
    Kotler, P. (2004), Marketing Management, 11th ed., Prentice‐Hall, Upper Saddle River, NJ. Lee, P. M. (2002). Behavioral model of online purchasers in e-commerce environment. Electronic Commerce Research, 2(1-2), 75-85.
    Lee, S. H. (2009). How do online reviews affect purchasing intention?. African Journal of Business Management, 3(10), 576-581.
    Li, F., & Du, T. C. (2011). Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision support systems, 51(1), 190-197.
    Lindgreen, A., Dobele, A., & Vanhamme, J. (2013). Word-of-mouth and viral marketing referrals: what do we know? And what should we know?. European Journal of Marketing, 47(7), 1028-1033.
    Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism management, 29(3), 458-468.
    Liu, X., Hu, J., & Xu, B. (2017). Does eWOM matter to brand extension? An examination of the impact of online reviews on brand extension evaluations. Journal of Research in Interactive Marketing, 11(3), 232-245.
    Lu, Y., Zhao, L., & Wang, B. (2010). From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications, 9(4), 346-360. Mahajan, V., Muller, E., & Kerin, R. A. (1984). Introduction strategy for new products with positive and negative word-of-mouth. Management Science, 30(12), 1389-1404.
    McCarthy, J. (1960). Programs with common sense (pp. 300-307). RLE and MIT computation center.
    McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.
    Mero, J. (2018). The effects of two-way communication and chat service usage on consumer attitudes in the e-commerce retailing sector. Electronic Markets, 28(2), 205-217.
    Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon. com. MIS quarterly, 34(1), 185-200.
    Neelamegham, R., & Chintagunta, P. (1999). A Bayesian model to forecast new product performance in domestic and international markets. Marketing Science, 18(2), 115-136.
    O’Learly C., Rao S., & Perry, C. (2004). Improving Customer Relationship Management through Database/Internet Marketing. A Theory-building Action Research Project. European Journal of Marketing, 38(3/4): 238-254.
    Oh, S., Baek, H., & Ahn, J. (2015). The effect of electronic word–of–mouth (eWOM) on mobile application downloads: an empirical investigation. International Journal of Mobile Communications, 13(2), 136-156. Oliver, J. D., & Lee, S. H. (2010). Hybrid car purchase intentions: a cross-cultural analysis. Journal of consumer marketing, 27(2), 96-103.
    Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business research, 62(1), 61-67.
    Park, D. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic commerce research and applications, 7(4), 399-410.
    Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International journal of electronic commerce, 11(4), 125-148.
    Pastore A., & Vernuccio M. (2004). Marketing, Innovazione e Tecnologie Digitali. Una lettura in ottica sistemica, Padua (IT): Cedam.
    Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
    Pavlou, P. A., & Dimoka, A. (2006). The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17(4), 392-414.
    Pee, L. G. (2016). Negative online consumer reviews: can the impact be mitigated?. International Journal of Market Research, 58(4), 545-567.
    Racherla, P., & Friske, W. (2012). Perceived ‘usefulness’ of online consumer reviews: An exploratory investigation across three services categories. Electronic Commerce Research and Applications, 11(6), 548-559.
    Schiffman, L. G., & Kanuk, L. L. (2000). Consumer behavior, 7* edition.
    Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of interactive marketing, 21(4), 76-94.
    Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of current issues & research in advertising, 26(2), 53-66. Tsao, W. C., & Hsieh, M. T. (2015). eWOM persuasiveness: do eWOM platforms and product type matter?. Electronic Commerce Research, 15(4), 509-541. v. Wangenheim, F., & Bayón, T. (2004). The effect of word of mouth on services switching: measurement and moderating variables. European Journal of Marketing, 38(9/10), 1173-1185. Von Hippel, E. (2005). Democratizing innovation: The evolving phenomenon of user innovation. Journal für Betriebswirtschaft, 55(1), 63-78. Ward, M. R., & Lee, M. J. (2000). Internet shopping, consumer search and product branding. Journal of product & brand management, 9(1), 6-20.
    Willemsen, L. M., Neijens, P. C., Bronner, F., & De Ridder, J. A. (2011). “Highly recommended!” The content characteristics and perceived usefulness of online consumer reviews. Journal of Computer-Mediated Communication, 17(1), 19-38.
    Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human behavior, 27(2), 634-639. Yi, Y. (1993). Contextual priming effects in print advertisements: The moderating role of prior knowledge. Journal of Advertising, 22(1), 1-10.
    Yi, Y., & La, S. (2004). What influences the relationship between customer satisfaction and repurchase intention? Investigating the effects of adjusted expectations and customer loyalty. Psychology & Marketing, 21(5), 351-373.
    Yudelson, J. (1999). Adapting McCarthy’s four P’s for the twenty-first century. Journal of Marketing Education, 21(1), 60-67.
    Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22. Zhao, M., & Xie, J. (2011). Effects of social and temporal distance on consumers' responses to peer recommendations. Journal of Marketing Research, 48(3), 486-496.
    Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of marketing, 74(2), 133-148.

    中文文獻
    范錚強、陳純德、王嘉珍 (2017)。電子商務(第二版)。新北市,普林斯頓國際有限公司。
    吳苑僑 (2012)。隱喻廣告類型、產品類型與消費者性別差異對廣告效果的影響。國立中山大學企業管理學系研究所碩士論文。取自:https://hdl.handle.net/11296/xwcg93。

    網路文獻
    Appfigure (2017). iOS Developers Ship 29% Fewer Apps In 2017, The First Ever Decline – And More Trends To Watch. 2019年3月10日,取自:https://blog.appfigures.com/ios-developers-ship-less-apps-for-first-time/
    BrightLocal (2018). Local Consumer Review Survey. 2019年3月10日,取自:https://www.brightlocal.com/research/local-consumer-review-survey/
    經濟部(2018)。主要國家零售業電子商務發展概況。2019年2月10日,取自:https://www.moea.gov.tw/MNS/dos/bulletin/Bulletin.aspx?kind=9&html=1&menu_id=18808&bull_id=5430
    資策會產業情報研究所(Market Intelligence & Consulting Institute, MIC) (2016)。零售業拚轉骨迎戰四新時代新客群35歲以下消費者躍居購買主力新裝置。2019年2月11日,取自:https://mic.iii.org.tw/Industryobservation_MIC02views.aspx?sqno=201

    QR CODE
    :::