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研究生: Vo Ngoc Chieu Ngan
Vo - Ngoc Chieu Ngan
論文名稱: 網路書評內容對其採用之影響
The effects of review content on Internet book review adoption
指導教授: 林孟彥
Meng-Yen Lin
口試委員: 曾盛 恕
Tsang, Seng-Su
黃 運 圭
Huang, Yun-Kuei
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: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 62
中文關鍵詞: 網路書評學術圖書館內容類型圖像資訊採納
外文關鍵詞: information adoption, picture, content type, academic librarianship, Internet book review
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對消費者而言、網路書評是一個十分重要的購買決定因素。雖然過去的研究多數強調網路書皮的多種好處,卻鮮少關於網路書評是如何被大量讀者吸收採納的調查。網路書評的採納是一種二階資訊架構的概念化、由感知的可理解性、感知完整性、感知相關性、感知精準度和感知價值增值去表現。在本研究中、將網路書評採納設定為控制組,同時,並找到先前相對應的觀點內容(也就是:內容類型和圖片評論)。本研究包含三個部分。第一、數據分析的結果支持網路書評資訊概念化的架構。第二、研究結果支持網路書評的內容類型和圖片評論的推測、對於讀者採納有直接的影響力。讀者對於特定性的評論相較於模糊的評論有更高的採納度、且讀者對於圖片多的採納度也較圖片少的來得高。第三、本研究發現、網路書評的內容類型和圖片和讀者採納之間有互動效果。有大量圖片和具體的網路書評、會有最高的讀者採納度。


Internet book reviews are important determinants of readers’ purchase intention. Although previous studies have emphasized various benefits of Internet book reviews, there are few studies investigate into how an Internet book review is perceived as having high readers’ adoption. Internet book review adoption is conceptualized as a second-order formative construct, which is manifested by perceived understandability, perceived completeness, perceived relevance, perceived accuracy and perceived value-added. In this study, a controlled experiment was conducted to investigate the Internet book review adoption as well as its corresponding antecedents from the Internet book review content perspectives (i.e. content type and pictures of review). Findings of this study includes are threefold. First, the results of the data analysis support the theoretical conceptualization of Internet book review as a formative construct. Second, the results support the speculation that the content type and pictures of Internet book review have direct impact and respective impacts on readers’ adoption. Readers perceive a specific review as having higher adoption than a vague review; they also perceive a review with more pictures as having higher adoption than a review with fewer pictures. Third, this study finds an interaction effect of content type and pictures of Internet book review on readers’ adoption. A specific Internet book review with a high number of pictures yields the highest adoption of readers.

TABLE OF CONTENT ABSTRACTii ACKNOWLEDGEMENTSiv TABLE OF CONTENTv LIST OF TABLESvii LIST OF FIGURESviii CHAPTER 1: INTRODUCTION1 CHAPTER 2: LITERATURE REVIEW AND HYPOTHESES5 2.1 Internet Book Review Adoption5 2.1.1 Perceived Understandability (Information Understandability)7 2.1.2 Perceived Completeness (Information Completeness)8 2.1.3 Perceived Relevance (Information Relevance)9 2.1.4 Perceived Accuracy (Information Accuracy)10 2.1.5 Perceived Value-added (Information Value-added)11 2.2 Internet book review content12 2.3 Research model and hypotheses14 2.3.1 Main effect15 2. 3.2 Interaction effect17 CHAPTER 3: METHODOLOGY19 CHAPTER 4: DATA ANALYSIS244 4.1 Manipulation Check24 4.2 Measurement Model24 4.3 Formative Measure of Dependent Variable26 4.4 Hypotheses Testing26 CHAPTER 5: DISCUSSION & CONCLUSION29 5.1 Discussion29 5.2. Theoretical Contributions30 5.3 Practical implications32 5.4 Limitations and research directions33 5.5 Conclusion34 REFERENCES35 APPENDICES45 Appendix A: Summary of Prior Work45 Appendix B: Items for measuring dimensions of Internet book review adoption52  

1.Ajzen, I., Brown, T.C. & Rosenthal, L.H. (1996), “Information bias in contingent valuation: effects of personal relevance, quality of information, and motivational orientation,” Journal of Environmental Economics and Management, Vol. 30, No. 1, pp. 43-57.
2.Angst, C.M. & Agarwal, R. (2009), “Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion,” MIS Quarterly, Vol. 33, No. 2, pp. 339-370.
3.Bakos, J.Y. (1991) “A strategic analysis of electronic marketplaces,” MIS Quarterly, Vol. 15, No. 3, pp. 295-301.
4.Bergman, M.J.D. (2006), “The impact of completeness and web use motivation on the credibility of e-Health Information,” Journal of Communication, Vol. 54, Issue 2, pp. 253-269.
5.Bickart, B. (2010), “Perceived Helpfulness of online consumer reviews: The role of message content and style,” Journal of Consumer Behavior, Vol. 2, pp. 1-36.
6.Bigne, J.E., Sanchez, M.I. & Sanchez, J. (2001), “Tourism image, evaluation variables and after purchase behavior: Inter-relationships,” Tourism Management, Vol. 22, pp. 607-601.
7.Cabanillas, F.L., Fernandez, J.S. & Leiva, F.M., (2014), “Antecedents of the adoption of the new mobile payment systems: The moderating effect of age,” Computer in Human Behavior, Vol. 35, pp. 464-478.
8.Carney, R.N. & Levin, J.R. (2002), “Pictorial illustrations still improve students’ learning from text,” Educational psychology Review, Vol. 14, No.1, pp. 65-77.
9.Celsi, R.L. & Olson, J.C. (1988), “The role of involvement in attention and comprehension processes,” Journal of Consumer Research, Vol. 15, No. 2, pp. 210-224.
10.Cenfetelli, R.T. & Bassellier, G. (2009), “Interpretation of formative measurement in information system research,” MIS Quarterly, Vol. 33, No. 4, pp. 689-707.
11.Chakravarti, A., Janiszewski, C. & Ulkumen, G. (2006), “The neglect of prescreening information,” Journal of Marketing Research, Vol. 43, No. 4, pp. 642-653.
12.Chau, P.Y.K. (2000), “Impact of information presentation modes in online shopping: An empirical evaluation of a broadband interactive shopping service,” Journal of Organizational Computing and Electronic Commerce, Vol. 10(1), pp. 1-21.
13.Chen, Y.C., Shang, R.A., Li, M.J. (2014), “The effects of perceived relevance of travel’s blog content on the behavioral intention to visit a tourist destination,” Computers in Human Behavior, Vol. 30, pp. 787-799.
14.Chevalier, J.A. & Mayzlin, D. (2006), “The effect of word of mouth on sales: Online book reviews,” Journal of Marketing Research, Vol. 18, pp. 345-354.
15.Cheung, C.M.K., Lee, M.K.O. and Rabjohn, N., (2008), “The impact of electronic word of mouth: The adoption of online opinions in the online customer communities,” Internet Research, Vol 18, No. 3, pp. 229-247.
16.Cheung, C.M.K. & Lee, M.K.O. (2005), “The asymmetric effect of website attribute performance on satisfaction: An empirical study,” Proceedings of the 38th Hawaii International Conference on System Sciences.
17.Cheung M.Y., Sia, C.L., Lou, C. & Chen, H., (2007), “How do people evaluate electronic word-of-mouth? Informational and normative based determinants of perceived credibility of online consumer recommendations in China,” 11th Pacific-Asia Conference on Information Systems.
18.Chuan, L., Li, W., Fu, X., Zeng, T. & Yao, L., (2014), “Managing uncertainty on eWOM; A comparision study between commercial and third party websites,” Pacific-Asia Conference on Information Systems 2014.
19.Chuang, H.M., Lin, C.K., Lin, C.Y. (2011), “The moderating role of elaboration likelihood on information system continuance,” Smart Innovation, Systems and Technologies, Vol. 10, pp. 605-615.
20.David, P. (1998), “News concreteness and visual-verbal association: Do news pictures narrow the recall gap between concrete and abstract news?” Human Communication Research, Vol. 25, pp. 180-201.
21.Davis, A. & Khazanchi, D. (2008), “An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales,” Electronic Market, Vol. 18(2), pp. 130-141.
22.Dellarocas, C., Zhang, M. & Awad, N.F. (2007), “Exploring the value of online product reviews in forecasting sales: the case of motion pictures,” Journal of Interactive Marketing, Vol. 21, pp. 23-45.
23.Doh, S.J. & Hwang, J.S. (2009), “How consumers evaluate eWOM messages,” CyberPsychology & Behavior, Vol. 12, No.2, pp. 46-51.
24.Fan, Y.W., Miao, Y.F., Fang, Y.H. & Lin, R.Y. (2013), “Establishing the adoption of electronic word-of-mouth through consumers’ perceived credibility,” International Business Research, Vol.6, No.3.
25.Faqid, K.M.S. & Jaradat, M.R.M., (2014), “Assessing the moderating effect of gender differences and individualism-collectivism at individual level on the adoption of mobile commerce technology: TAM3 perspective,” Journal of Retailing and Consumer Services, Vol. 22, pp. 37-52.
26.Filieri, R. & McLeay, F. (2013) “EWOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews,” Journal of Travel Research, Vol. 53, No. 1, pp. 44-57.
27.Filieri, R. & Raffaele, R. (2012) “Understanding consumers adoption of e-WOM through information quality and product ranking,” Academy of Marketing Conference 2012: Marketing: catching the technology wave, 2-5 July 2012, Southampton, UK.
28.Fu, X., Zhang, B., Xiao, L. & Che, Y. (2011), “Impact of Quantity and Timeliness of eWOM information on consumer’s online purchasing intention under C2C environment,” Asian Journal of Business Research, Vol. 1, No. 2.
29.Gretzel, U. & Yoo, K.H. (2008), “Use and Impact of online travel reviews,” Information and communication technologies in tourism, pp. 35-46.
30.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, Vol. 17, No. 4, pp. 454-462.
31.Huang, Y.K. & Yang, W.I. (2008), “Motives for and consequences of reading Internet book reviews,” The electronic Library, Vol. 26, No. 1, pp. 97-110.
32.Huang, Y.K. & Yang, W.I. (2010), “Dissemination motives and effects of Internet book reviews,” The electronic Library, Vol. 28, No. 6, pp. 804-817.
33.Huang, Y.K. & Yang, W.I. (2012), “Using networked narratives to understand Internet book reviews in online communities,” The Electronic Library, Vol. 32, No. 1, pp. 17-30.
34.Huang, Y.K., Yang, I.W., Lin, M.Y. & Shih, T.Y. (2012), “Judgment criteria for the authenticity of Internet book reviews,” Library & Information Science Research, Vol. 34, pp. 150-156.
35.Jung, Y., Mira, B.P. & Patton, S.W. (2009), “Consumer adoption of mobile TV: Examining psychological flow and media content,” Computers in Human Behavior, Vol. 25, pp. 123-129.
36.Kim, M. & Lennon, S. (2008), “The effect of visual and verbal information on attitudes and purchase intentions in Internet shopping,” Psychology & Marketing, Vol. 25 (2), pp. 146-178.
37.Kirkus Reviews (2014), Kirkus announces the Kirkus prize New York (May 28, 2014), Available at: https://www.kirkusreviews.com/press-center/press/announces-prize.
38.Laroche, M. et al., (2005), “Internet versus brick-and-mortar retailers: An investigation into intangibility and its consequences,” Journal of Retailing, Vol. 81. No. 4, pp. 251-267.
39.Lee, E.J. & Shin, S.Y. (2013), “When do consumers buy online product reviews? Effect of review quality, product type, and reviewer’s photo,” Computers in Human Behavior, Vol. 31, pp. 356-366.
40.Lee, K.T. & Koo, D.M. (2012), “Effect of attribute and valence of e-WOM on message adoption: Moderating roles of subjective knowledge and regulatory focus,” Computers in Human Behavior, Vol. 28, pp. 1974-1984.
41.Lee, S.H. (2009), “How do online reviews affect purchasing intention?” African Journal of Business Management, Vol. 3 (10), pp. 576-581.
42.Lee, Y. & Kozar, K. A. (2006), “Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach,” Decision Support System, Vol. 42, pp. 1383-1401.
43.Lee, J., Park, D.H. & Han, I. (2008), “The effect of negative online consumer reviews on product attitude: An information processing view”, Electronic Commerce Research and Applications, Vol. 7, pp. 341-352.
44.Lee, Y.W., Strong, D.M., Kahn, B.K & Wang, R.Y. (2002), “AIMQ: A methodology for information quality assessment,” Information & Management, Vol. 40, pp. 133-146.
45.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, Vol. 17, No.4, pp. 101-136.
46.Li, Y., Wang, M. & Chen, Y. (2014), “The impact of product photo on online consumer purchase intention: An image-processing enabled empirical study,” Proceedings of The Pacific Asia Conference on Information Systems (PACIS) 2014.
47.Lin, Y.S. & Huang, J.Y. (2006), “Internet blogs as a tourism marketing medium: a case study,” Journal of Business Research, Vol. 59, pp. 1201-1205.
48.Lin, M.Y., Luarn, P. & Huang, Y. K. (2005), “Effect of Internet book reviews on purchase intention: A focus group study,” The Journal of Academic Librarianship, Vol. 31, No. 5, pp. 461-468.
49.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, Vol. 6, No. 1, pp. 7-26.
50.Mandel, N. & Johnson, E.J. (2002), “When web pages influence choice: effect of visual priming on experts and novices”, Journal of Consumer Research, Vol. 29, No. 2, pp. 235-245.
51.Manthiou, A. & Schrier, T., (2014), “A comparison of traditional vs electronic word of mouth in the Greek hotel market: An exploratory study,” Journal of Tourism Research, Vol.8, pp. 125-134.
52.Mudambi, S.M. & Schuff, D. (2010), “What makes a helpful online review? A study of customer reviews on Amazon.com,” MIS Quarterly, Vol. 34, No. 1, pp. 185-200.
53.Negash, S., Ryan, T. & Igbaria, M. (2003), “Quality and effectiveness in Web-based customer support systems,” Information & Management, Vol. 4, No. 8, pp. 757-768.
54.Pan, Y. & Zhang, J.Q. (2011), “Born unequal: A study of the helpfulness of user-generated product reviews,” Journal of Retailing, Vol. 87, No. 4, pp. 125-148.
55.Papathanassis, A., & Knolle, F. (2011), “Exploring the adoption and processing of online holiday reviews: a grounded theory approach”, Tourism Management, Vol. 32(2), pp. 215-224.
56.Park, D.H., Lee, J. & Han, I. (2007), “The effect of online consumer reviews on consumer purchasing intention: the moderating role of involvement,” International Journal of Electronic Commerce, Vol. 11, No. 4, pp. 125-148.
57.Petter, R.E., Straub, D. & Rai, A. (2007), “Specifying formative constructs in information system research,” MIS Quarterly, Vol. 31, No. 4, pp. 623-656.
58.Petty, R. E., & Cacioppo, J. T. (1981), “Attitudes and persuasion: classic and contemporary approaches”, Dubuque, IA: William C. Brown.
59.Rabjohn, N., Cheung, C.M.K. & Lee, M.K.O. (2008), “Examining the perceived credibility of online opinions: information adoption in the online environment,” Hawaii International Conference on System Science.
60.Ratchford, B.T., Talukdar, D. & Lee, M.S. (2001), “A model of consumer choice of the Internet as an information source,” International Journal of Electronic Commerce, Vol. 5, No. 3, pp. 7–22.
61.Riegelsberger, J., Sasse, M.A. & McCarthy, J.D. (2003), “Shiny happy people building trust? Photos on e-commerce websites and consumer trust,” Proceedings of the SIGCHI Conference on Human factors in Computing Systems, No. 5, No. 1, pp. 121-128.
62.Semin, G.R. (2008), “Language puzzles: A prospective retrospective on the linguistic category model,” Journal of Language and Social Psychology, Vol. 27, No. 2, pp. 197-209.
63.Semin, G.R. & Fiedler, K. (1988), “The cognitive functions of linguistic categories in describing persons: Social cognition and language,” Journal of Personality and Social Psychology, Vol. 54, No. 4, pp. 558-568.
64.Sen, S. & Lerman, D. (2007), “Why are you telling me this? An examination into negative consumer reviews on the web,” Journal of Interactive Marketing, Vol. 21, No. 4, pp. 76-94.
65.Shavitt, S. (1998), “Public attitudes toward advertising: More favorable than you might think,” Journal of Advertising Research, Vol. 38, No. 4, pp. 7-22.
66.Shu, M. & Scott, N. (2014), “Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective,” Journal of Travel & Tourism Marketing, Vol. 32, No. 2, pp. 286-302.
67.Sojka, J.Z. & Giese, J.L. (2006), “Communication through pictures and words: understanding the role of affect and cognition in processing visual and verbal information,” Psychology and Marketing, Vol. 23, pp. 995-1014.
68.Song, S.S. and Kim, M. (2012), “Does more mean better? An examination of visual product presentation in e-retailing,” Journal of Electronic Commerce Research, Vol. 13, No. 4, pp. 344-355.
69.Sparks, B.A., Perkins, H.E. & Buckley, R. (2013), “Online travel reviews as persuasive communication: the effect of content type, source, and certification logos on consumer behavior,” Tourism Management, Vol. 39, pp. 1-9.
70.Stewig, J.W. (1992), “Reading pictures, reading text: Some similarities,” New Advocate, Vol. 5, No. 1, pp. 11-22.
71.Teng, L., Ye, N., Yu, Y. & Wu, X. (2014), “Effects of culturally verbal and visual congruency/incongruency across cultures in a competitive advertising context,” Journal of Business Research, Vol. 67, pp. 288-294.
72.Wang, R.Y. & Strong, D.M. (1996), “Beyond accuracy: What data quality means to data consumers,” Journal of Management Information Systems, Vol. 12, No. 4, pp. 5-33.
73.Wixom, B.H. & Todd, P.A. (2005), “A theoretical integration of user satisfaction and technology acceptance,” Information System Research, Vol 16, No. 1, pp. 85-102.
74.Wu, Y.S., Chen, J.C. & Lin, C. (2013), “Electronic word-of-mouth: the moderating roles of product involvement and brand image,”, Proceedings of 2013 International conference on Technology Innovation and Industrial Management, 29-31 May 2013, Phuket, Thailand.
75.Xiang, Z. & Gretzel, U. (2010), “Role of social media in online travel information search,” Tourism Management, Vol. 31, No. 2, pp. 179-188.
76.Xu, Y. & Chen, Z. (2006), “Relevance judgment: What do information users consider beyond topicality?” Journal of the American Society for Information Science and Technology, Vol. 57, No. 7, pp. 961-973.
77.Zhang, K.Z.K., Zhao, S.J., Cheung, C.M.K. & Lee, M.K.O. (2014), “Examining the influence of online reviews on consumers’ decision-making: A heuristic-systematic model,” Decision Support Systems, Vol. 67, pp. 78-89.
78.Zhang, W., Watts, S.A., (2008), “Capitalizing on content: information adoption in two online communities”, Journal of the Association for Information Systems, Vol. 9, No.3, pp. 73-94.
79.Zhu, D.H., Chang, Y.P., Luo, J.J. & Li, X. (2014), “Understanding the adoption of location-based recommendation agents among active users of social network sites”, Information Processing and Management, Vol. 50, pp. 675-682.
80.Zou, P., Yu, B. & Hao, Y. (2011), “Does the valence of online reviews matter for consumer decision making? The moderating role of consumer expertise,” Journal of Computer, Vol. 6, No. 3, pp. 484-488.

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