簡易檢索 / 詳目顯示

研究生: 蔡松甫
Sung-Fu Tsai
論文名稱: 影響線上評論助益性之準實驗
A Quasi-experimental Research on Helpfulness of Online Reviews
指導教授: 曾盛恕
Seng-Su Tsang
口試委員: 陳家祥
none
陳崇文
none
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 76
中文關鍵詞: 線上評論評論助益性評論來源評論立場
外文關鍵詞: online reviews, helpfulness of reviews, review source, review position
相關次數: 點閱:233下載:1
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
  • 隨著網際網路與科技裝置設備的普及,資訊的傳遞不再侷限於過去需面對面,消費者能夠利用網路快速地搜尋他人的消費經驗或產品評論等相關資訊,做為其購買決策的參考依據。然而在網路世界中,充斥著許多可輕易取得的產品評論;在這些線上產品評論中,能夠對消費者產生幫助的評論又有那些?在過去相關的研究中,還沒有被徹底的探討過。因此,本研究探討影響消費者知覺線上產品評論助益性之因素,使用2 × 2 × 2的準實驗設計,調查線上產品評論在不同的產品類型(搜尋財與經驗財)、評論立場(正面評論與負面評論)以及評論來源(專家與顧客)之下,對消費者知覺評論助益性之影響。研究結果顯示評論立場與評論來源對於消費者知覺評論助益性有直接的影響,也發現評論立場與評論來源之間存在交互效果。研究結果可提供評論平台業者與行銷人員更有效率地進行網頁管理與制訂產品行銷策略


    With the popularity of Internet and technology equipment, transferring of information is no longer limited to the need to face in the past. Consumers can easily use the Internet to quickly find another online product reviews and other relevant experience or information before they make purchasing decisions. However, In the Internet, many of the online reviews can be easily acquired. The question of what type of online reviews can be helpful to consumers has not been thoroughly researched. Therefore, we conduct a 2 × 2 × 2 quasi-experimental design to investigate what factors would influence consumers. Our study examine the effect of product types (search good and experience good), reviews position (positive and negative) and review source (experts and customers) on the consumer perceived the helpfulness of online reviews. The results of the experiment reveal that reviews position and review source have direct impact on the helpfulness of online reviews. And we find an interaction effect of the reviews position and review source. The findings provide managerial implications for platform operators and marketers as to how they can efficiently manage online reviews and make marketing strategies.

    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4 第二章文獻回顧及研究假設5 2.1線上評論(Online Reviews)5 2.2助益性(Helpfulness)7 2.3產品類型9 2.4評論來源11 2.5評論立場13 第三章研究方法15 3.1研究架構15 3.2實驗設計17 3.3研究樣本與資料收集21 3.4資料分析方法22 3.5前測結果24 第四章資料分析27 4.1敘述性統計分析27 4.2操弄檢測30 4.3配適度及信效度分析31 4.4研究假說驗證34 第五章結論及建議43 5.1研究結論43 5.2管理意涵45 5.3研究限制與未來研究建議47 參考文獻48 附錄54

    Ahluwalia, R., Unnava, H. R., & Burnkrant, R. E. (2001). The moderating role of commitment on the spillover effect of marketing communications. Journal of Marketing Research, 38(4), 458-470.
    Amblee, N., & Bui, T. (2007). Freeware downloads: An empirical investigation into the impact of expert and user review on demand for digital goods. . Paper presented at the Proceedings of the 13th Americas Conference on Information Systems. , Atlanta: Association for Information Systems.
    Andreoli, V., & Worchel, S. (1978). Effects of media, communicator, and message position on attitude change. Public Opinion Quarterly, 42(1), 59-70.
    Arndt, J. (1967). Role of product related conversation in the diffusion of a new product. . Journal of Marketing Research, 4(3), 291-295.
    Benlian, A., Titah, R., & Hess, T. (2012). Differential effects of provider recommendations and consumer reviews in e-commerce transactions: An experimental study. Journal of Management Information Systems, 29(1), 237-272.
    Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214.
    Blackwell, R. D., Miniard, P. W., & Engle, J. F. (2001). Consumer Behavior: New Jersey: Harcourt College Publishers.
    Bone, P. F. (1995). Word-of-mouth effects on short-term and longterm product judgments. Journal of Business Research, 32(3), 213-223.
    Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: conceptualizing the online social network. Journal of interactive marketing, 21(3), 2-20.
    Chakravarti, A., Janiszewski, C., & Ulkumen, G. (2006). The neglect of prescreening information. Journal of Marketing Research, 43(4), 642-653.
    Chatterjee, & Patrali. (2001). Online Reviews: Do Consumers Use Them? Advances in Consumer Research, 28(1), 129-133.
    Chen, Y., & Xie, J. (2008). Online consumer review: word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477-492.
    Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
    Chiang, K.-P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer Psychology, 13(1), 177-183.
    Connors, L., Mudambi, S. M., & Schuff, D. (2011). Is it the review or the reviewer? A multi-method approach to determine the antecedents of online review helpfulness. Paper presented at the In R.H. Sprague (ed.),Proceedings of the 44th Annual Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society Press.
    Court, D. C., Gordon, J. W., & Perrey, J. (2005). Boosting Returns on Marketing Investment. McKinsey Quarterly, 2, 1-7.
    De Figueiredo, J. M. (2000). Finding sustainable profitability in electronic commerce. Sloan Management Review, 41(4), 41-54.
    DeBono, K. G., & Harnish, R. J. (1988). Source expertise, source attractiveness, and the processing of persuasive information: A functional approach. Journal of Personality and Social Psychology, 55(4), 1988.
    Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424.
    Dellarocas, C., Gao, G. G., & Narayan, R. (2010). Are consumers more likely to contribute online reviews for hit or niche products? . Journal of Management Information Systems, 27(2), 127-158.
    DeShields, O. W., Kara, A., & Kaynak, E. (1996). Source effects in purchase decisions: the impacts of physical attractiveness and accent of salesperson. International Journal of Research in Marketing, 13(1), 89-101.
    DeVellis, R. F. (2011). Scale development: Theory and applications (Vol. 26): Sage Publications.
    Duan, W. G., B., & Whinston, A. B. (2008). Do online reviews matter? An empirical investigation of panel data. Decision Support Systems, 45(4), 1007-1016.
    East, R., & Hammond, K. (2005). The impact of positive and negative word of mouth on brand choice Paper presented at the Australian and New Zealand Marketing Academy.
    Ekelund, R. B., Mixon, F. G., & Ressler, R. W. (1995). Advertising and information: an empirical study of search, experience and credence goods. Journal of Economic Studies, 22(2), 33-43.
    eMarketer. (2010). The role of customer product reviews., 2014, from http://www.emarketer.com/Article/Role-of-Customer-Product-Reviews/1008019
    Fiske, S. T. (1980). Attention and weight in person perception: The impact of negative and extreme behavior. Journal of Personality and Social Psychology, 38(6), 889.
    Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information Systems Research, 19(3), 291-313.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research (JMR), 18(1).
    Gershoff, A. D., Mukherjee, A., & Mukhopadhyay, A. (2003). Consumer acceptance of online agent advice: Extremity and positivity effects. Journal of Consumer Psychology, 13(1), 161-170.
    Godes, D., & Mayzlin., D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 545-560.
    Granitz, N. A., & Ward, J. C. (1996). Virtual community: A sociocognitive analysis. Advances in Consumer Research, 23, 161-166.
    Harkins, S. G., & Petty, R. E. (1987). Information utility and the multiple source effect. Journal of Personality and Social Psychology, 52(2), 260-268.
    Harmon, R. R., & Coney, K. A. (1982). The persuasive effects of source credibility in buy and lease situation. Journal of Marketing Research, 19(2), 255-260.
    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.
    Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word of mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17(4), 454-462.
    Hu, L.-t., & Bentler, P. M. (1995). Evaluating model fit.
    Hu, N., Liu, L., & Zhang, J. J. (2008). Do online reviews affect product sales? the role of reviewer characteristics and temporal effects. Information Technology and Management, 9(3), 201-214.
    Huang, P., Lurie, N. H., & Mitra, S. (2009). Searching for experience on the web: an empirical examination of consumer behavior for search and experience goods. Journal of Marketing, 73(2), 55-69.
    Hutton, J. G., & Mulhern, F. J. (2002). Marketing Communications: Integrated theory, strategy and tactics: West Paterson, NJ: Pentagram Publishing.
    Jain, S. P., & Posavac, S. S. (2001). Prepurchase attribute verifiability, source credibility, and persuasion. Journal of Consumer Psychology, 11(3), 169-180.
    Jiang, Z., & Benbasat, I. (2007). The effects of presentation formats and task complexity on online consumers' product understanding. MIS Quarterly, 475-500.
    Kaikati, A. M., & Kaikati, J. G. (2004). Stealth marketing: How to reach consumers surreptitiously. Paper presented at the California Management Review.
    Kerlinger, F. (1986). Foundations of Behavioral Research (Holt, Rinehart and Winston, New York, NY).
    Kiang, M. Y., Ye, Q., Hao, Y., Chen, M., & Li, Y. (2011). A service-oriented analysis of online product classification methods. Decision Support Systems, 52(1), 28-39.
    Klein. (1998). Evaluating the potential of interactive media through a new lens: search versus experience goods. Journal of Business Research, 41(3), 195-203.
    Kleinmuntz, D. N., & Schkade, D. A. (1993). Information displays and decision processes. Psychological Science, 4(4), 221-227.
    Kumar, N., & Benbasat, I. (2006). The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17(4), 425-439.
    Lee, S. B. T. (2011). product type and consumers' perception of online consumer reviews. Electronic Markets, 21, 255-266.
    Li, M., Huang, L., Tan, C.-H., & Wei, K.-K. (2013). Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features. International Journal of Electronic Commerce, 17(4), 101-136.
    Liebermann, Y., & Flint-Goor, A. (1996). Message strategy by product-class type: A matching model. International Journal of Research in Marketing, 13(3), 237-249.
    Lin, T. M. Y., Lu, K.-Y., & Wu, J.-J. (2012). The effects of visual information in eWOM communication. Journal of Research in Interactive Marketing, 6(1), 7-26.
    Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
    Lutz, R. J. (1975). Changind brand attitudes through modification of cognitive structure. Journal of Consumer Research, 1(4), 49-59.
    Maheswaran, D., & J., M.-L. (1990). The influence of message framing and issue involvement. . Journal of Marketing Research, 27(3), 361-367.
    Manz, C. C., & Sims, H. P. (1981). Vicarious learning: The influence of modeling on organizational behavior. Academy of Management Review, 6(1), 105-113.
    Mitra, K., Reiss, M. C., & Capella, L. M. (1999). An examination of perceived risk, information search and behavioral intentions in search, experience and credence services. Journal of Services Marketing, 13(3), 208-228.
    Mizerski, R. W. (1982). An attribution explanation of the disproportionate influence of unfavorable information. . Journal fo Consumer Research, 9(3), 301-310.
    Moon, J., Chadee, D., & Tikoo, S. (2008). Culture, product type, and price influences on consumer purchase intention to buy personalized products online. Journal of Business Research, 61(1), 31-39.
    Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on amazon. MIS Quarterly, 34(1), 185-200.
    Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311-329.
    Nelson, P. (1974). Advertising as information. Journal of Political Economy, 82(4), 729-754.
    Nunnally, J., & Bernstein, I. (1994). Psychometric Theory: McGraw-Hill, New York.
    Pan, Y., & Zhang, J. Q. (2011). Born unequal: A study of the helpfulness of user-generated product reviews. Journal of Retailing, 87(4), 598-612.
    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., 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.
    Ratchford, B. T., Talukdar, D., & Lee, M.-S. (2001). A model of consumer choice of the Internet as an information source. Electronic Commerce, 5(3), 7-21.
    Resnick, P., Zeckhauser, R., Friedman, E., & Kuwabara, K. (2000). Resnick, P., Zeckhauser, R., Friedman, E. and Kuwabara, K. Communication of the ACM, 43(12), 45-48.
    Samson, A. (2006). Understanding the buzz that matters: Negative v.s. positive word of mouth. . International Journal of Market Research, 48(6), 647-657.
    Sasaki, T., Becker, D. V., Janssen, M. A., & Neel, R. (2011). Does greater product information actually inform consumer decisions? The relationship between product information quantity and diversity of consumer decisions. Journal of economic psychology, 32(3), 391-398.
    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.
    Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159-169.
    Stern, B. (1994). A revised communication model for advertising: Multiple dimensions of the source, message, and the recipient. . Journal of Advertising, 23(2), 5-15.
    Sternthal, B., Dholakia, R., & Leavitt, C. (1978). The persuasive effects of source: tests of cognitive response. . Journal of Consumer Research, 4(4), 252-260.
    Tan, C.-H., Teo, H.-H., & Benbasat, I. (2010). Assessing screening and evaluation decision support systems: A resource-matching approach. Information Systems Research, 21(2), 305-326.
    Weathers, D., Sharma, S., & Wood, S. L. (2007). Effects of online communication practices on consumer perceptions of performance uncertainty for search and experience goods. Journal of Retailing, 83(4), 393-401.
    Wilson, E. J., & Sherrell, D. L. (1993). Source effect in communication and persuasion research: a meta-analysis of effect size. Journal of the Academy of Marketing Science, 21(2), 101-112.
    Wright, P. (1974). The harassed decision maker: Time pressures, distractions, and the use of evidence. . Journal of Applied Psychology, 59(5), 555-561.
    Xia, L., & Bechwati, N. N. (2008). Word of mouse: the role of cognitive personalization in online consumer reviews. Journal of Interactive Advertising, 9(1), 3-13.
    Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model - a critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research, 8(1), 41-62.
    俞洪亮, 蔡義清, & 莊懿妃. (2010). 商管研究資料分析: SPSS 的應用 二版.

    無法下載圖示 全文公開日期 2019/06/20 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE