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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20018
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林俊昇
dc.contributor.authorMeng-Ting Chouen
dc.contributor.author周孟葶zh_TW
dc.date.accessioned2021-06-08T02:38:50Z-
dc.date.copyright2018-08-01
dc.date.issued2018
dc.date.submitted2018-07-11
dc.identifier.citation參考文獻
一、 中文部分
1. TWNIC-財團法人台灣網路資訊中心
2. Web 4.0 的數位媒體新時代,五年內即將到來!
(https://buzzorange.com/techorange/2016/03/11/web40/)
3. 游佳萍, & 陳妍伶. (2006). 虛擬社群中的組織公民行為之研究: 以線上遊戲團隊為例. 資訊社會研究, 11, 115-144.
二、 英文部分
1. Adler, P. R., & Christopher, J. A. (1998). Internet community primer overview and business opportunities. Internet communi1998ty primer.
2. Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand community: Evidence from European car clubs. Journal of Marketing, 69(3), 19-34.'
3. Allen, Vernon L. (1965), “Situational Factors in,” in Advances in Experimental and Social Psychology, Vol. 2, ed. Leonard Berkowitz, New York, NY: Academic Press, 133–175.
4. Anderson, L. R., & Holt, C. A. (1997). Information cascades in the laboratory. The American economic review, 847-862.
5. Anderson, N. H., & Hubert, S. (1963). Effects of concomitant verbal recall on order effects in personality impression formation. Journal of Verbal Learning and Verbal Behavior, 2(5-6), 379-391.
6. Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing Research, 291-295.
7. Asch, S. E. (1956). Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychological monographs: General and applied, 70(9), 1.
8. Banerjee, A. V. (1992). A simple model of herd behavior. The quarterly journal of economics, 107(3), 797-817.
9. Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of consumer research, 9(2), 183-194.
10. Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of political Economy, 100(5), 992-1026.
11. Blau, P. M. (1964). Exchange and Power in Social Life Wiley New York
12. Bollerslev, T., Engle, R. F., & Nelson, D. B. (1994). ARCH models. Handbook of econometrics, 4, 2959-3038.
13. Bonabeau, E. (2004). The perils of the imitation age. Harvard Business Review, 82, 99-104.
14. Bougie, R., Pieters, R., & Zeelenberg, M. (2003). Angry customers don’t come back, they get back: The experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393.
15. 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.
16. Buda, R., & Zhang, Y. (2000). Consumer product evaluation: the interactive effect of message framing, presentation order, and source credibility. Journal of Product & Brand Management, 9(4), 229-242.
17. Butler Jr, J. K. (1991). Toward understanding and measuring conditions of trust: Evolution of a conditions of trust inventory. Journal of management, 17(3), 643-663.
18. Carlson, B. D., Suter, T. A., & Brown, T. J. (2008). Social versus psychological brand community: the role of psychological sense of brand community. Journal of Business Research, 61(4), 284–291.
19. Chakravarty, A., Liu, Y., & Mazumdar, T. (2010). The differential effects of online word-of-mouth and critics’ reviews on pre-release movie evaluation. Journal of Interactive Marketing, 24(3), 185-197.
20. Chan, K. K., & Misra, S. (1990). Characteristics of the opinion leader: A new dimension. Journal of advertising, 19(3), 53-60.
21. Chan, K. W., & Li, S. Y. (2010). Understanding consumer-to-consumer interactions in virtual communities: The salience of reciprocity. Journal of Business Research, 63(9-10), 1033-1040.
22. Chen, Y., Fay, S., & Wang, Q. (2011). The role of marketing in social media: How online consumer reviews evolve. Journal of Interactive Marketing, 25(2), 85-94.
23. 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.
24. 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.
25. Chidambaram, L., & Jones, B. (1993). Impact of communication medium and computer support on group perceptions and performance: A comparison of face-to-face and dispersed meetings. MIS quarterly, 465-491.
26. Chiou, J. S., & Cheng, C. (2003). Should a company have message boards on its web sites?. Journal of Interactive Marketing, 17(3), 50-61.
27. Colliander, J., & Hauge Wien, A. (2013). Trash talk rebuffed: consumers' defense of companies criticized in online communities. European Journal of Marketing, 47(10), 1733-1757.
28. Constant, D., Sproull, L., & Kiesler, S. (1996). The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organization science, 7(2), 119-135.
29. Correa, T., Hinsley, A. W., & de Zuniga, H. G. (2010). Who interacts on the web? The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247-253.
30. Dellarocas, C. (2006). Strategic manipulation of Internet opinion forums: Implications for consumers and firms. Management Science, 52(10), 1577-1593.'
31. Dellarocas, Chrysanthos and Narayan, Ritu. (2007). Tall Heads vs. Long Tails: Do Consumer Reviews Increase the Informational Inequality Between Hit and Niche Products? Robert H. Smith School of Business Research, 06-056.
32. Dholakia, U. M., Basuroy, S., & Soltysinski, K. (2002). Auction or agent (or both)? A study of moderators of the herding bias in digital auctions. International Journal of Research in Marketing, 19(2), 115-130.
33. Leonard-Barton, D. (1985). Experts as negative opinion leaders in the diffusion of a technological innovation. Journal of Consumer Research, 11(4), 914-926.
34. 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.
35. Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. Journal of retailing, 84(2), 233-242.
36. Fagerstrøm, A.,&Ghinea,B. (2011).On the motivating impact of price and online recommendations at the point of online purchase. International Journal of Information Management, 31, 103–110.
37. 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.
38. Flynn, L. R., Goldsmith, R. E., & Eastman, J. K. (1996). Opinion leaders and opinion seekers: Two new measurement scales. Journal of the academy of marketing science, 24(2), 137-147.
39. Forgas, J. P. (2000). Affect and information processing strategies: An interactive relationship.
40. Giffin, K. (1967). The contribution of studies of source credibility to a theory of interpersonal trust in the communication process. Psychological bulletin, 68(2), 104.
41. Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing science, 23(4), 545-560.
42. Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American sociological review, 161-178.
43. Gu, B., Park, J., & Konana, P. (2012). Research note—the impact of external word-of-mouth sources on retailer sales of high-involvement products. Information Systems Research, 23(1), 182-196.
44. Ha, Y. W., & Hoch, S. J. (1989). Ambiguity, processing strategy, and advertising-evidence interactions. Journal of Consumer Research, 16(3), 354-360.
45. Hagel, J., & Armstrong, A. G. (1997). Net gain. Harvard Business School Press, Boston.
46. Hanson, W. A., & Putler, D. S. (1996). Hits and misses: Herd behavior and online product popularity. Marketing letters, 7(4), 297-305.
47. 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.
48. Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311-330.
49. 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.
50. Highhouse, S., & Gallo, A. (1997). Order effects in personnel decision making. Human performance, 10(1), 31-46.
51. Hiltz, S. R., Johnson, K., & Turoff, M. (1986). Experiments in Group Decision Making: Communication Process and Outcome in Face-to-Face Versus Computerised Conference. Human Computer Communication Research, 13, 225–252.'
52. Hoch, S. J., & Ha, Y. W. (1986). Consumer learning: Advertising and the ambiguity of product experience. Journal of consumer research, 13(2), 221-233.
53. Hoch, S. J., & Deighton, J. (1989). Managing what consumers learn from experience. The Journal of Marketing, 1, 20.
54. Hong, J. Y., & Lee, W. N. (2005). Consumer complaint behavior in the online environment. In Web systems design and online consumer behavior (pp. 90-106). IGI Global.
55. Hu, N., Bose, I., Koh, N. S., & Liu, L. (2012). Manipulation of online reviews: An analysis of ratings, readability, and sentiments. Decision Support Systems, 52(3), 674-684.
56. Isen, A. M., & Labroo, A. A. (2003). 11 some ways in which positive affect facilitates decision making and judgment. In Emerging perspectives on judgment and decision research (Vol. 365). Cambridge University Press.
57. Jahoda, M. (1959). Conformity and independence: A psychological analysis. Human Relations, 12(2), 99-120.
58. Kamakura, W. A., Basuroy, S., & Boatwright, P. (2006). Is silence golden? An inquiry into the meaning of silence in professional product evaluations. Quantitative Marketing and Economics, 4(2), 119-141.
59. Kelman, H. C. (1961). Three processes of social influence. Public Opinion Quarterly, 25, 57-78.
60. Khammash, M., & Griffiths, G. H. (2011). ‘Arrivederci CIAO.com, Buongiorno Bing. com’-Electronic word-of-mouth (eWOM), antecedences and consequences. International Journal of Information Management, 31(1), 82-87.
61. Khare, A., Labrecque, L. I., & Asare, A. K. (2011). The assimilative and contrastive effects of word-of-mouth volume: An experimental examination of online consumer ratings. Journal of Retailing, 87(1), 111-126.
62. Kiesler, S., & Sproull, L. (1992). Group decision making and communication technology. Organizational behavior and human decision processes, 52(1), 96-123.
63. Kim, S. J., Wang, R. J. H., Maslowska, E., & Malthouse, E. C. (2016). “Understanding a fury in your words”: The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors. Computers in Human Behavior, 54, 511-521
64. Köhler, C. F., Rohm, A. J., de Ruyter, K., & Wetzels, M. (2011). Return on interactivity: The impact of online agents on newcomer adjustment. Journal of Marketing, 75(2), 93-108.
65. Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of marketing, 74(2), 71-89.
66. Lee, Y. L., & Song, S. (2010). An empirical investigation of electronic word-of-mouth: Informational motive and corporate response strategy. Computers in Human Behavior, 26(5), 1073-1080.
67. Lin, T. M., Huang, Y. K., & Yang, W. I. (2007). An experimental design approach to investigating the relationship between Internet book reviews and purchase intention. Library & Information Science Research, 29(3), 397-415.
68. Lurie, N. H. (2004). Decision making in information-rich environments: The role of information structure. Journal of Consumer Research, 30(4), 473-486.
69. Lurie, N. H., & Mason, C. H. (2007). Visual representation: Implications for decision making. Journal of Marketing, 71(1), 160-177.
70. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.
71. Medina, J. (2011). Brain rules: 12 principles for surviving and thriving at work, home, and school. ReadHowYouWant. com.
72. Meyers-Levy, J., & Maheswaran, D. (1990). Message framing effects on product judgments. ACR North American Advances.
73. Nelson, P. (1974). Advertising as information. Journal of political economy, 82(4), 729-754.
74. Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cognitive psychology, 7(1), 44-64.
75. Pan, L.-Y., & Chiou,J.-S.(2011). How much can you trust online information? Cues for perceived trustworthiness of consumer-generated online information. Journal of Interactive Marketing, 25, 67–74.
76. Petty, R. E., & Cacioppo, J. T. (1984). The effects of involvement on responses to argument quantity and quality: Central and peripheral routes to persuasion. Journal of personality and social psychology, 46(1), 69.
77. Postmes, T., Spears, R., & Lea, M. (2000). The formation of group norms in computer‐mediated communication. Human communication research, 26(3), 341-371.
78. Day, R. L. (1984). Modeling choices among alternative responses to dissatisfaction. ACR North American Advances.
79. Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems, 11(3-4), 271-295.
80. Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: why people hang out online. Journal of Computer-Mediated Communication, 10(1), 1–30.
81. Schamari, J., & Schaefers, T. (2015). Leaving the home turf: How brands can use webcare on consumer-generated platforms to increase positive consumer engagement. Journal of Interactive Marketing, 30, 20–33.
82. Schoenewolf, G. (1990). Emotional contagion: Behavioral induction in individuals and groups. Modern Psychoanalysis.
83. Schwartz, B. (2004, January). The paradox of choice: Why more is less. New York: Ecco.
84. 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.
85. Senecal, S. & Nantel, J. (2004). The influence of online product recommendations on consumers' online choices. Journal of Retailing, 80, 159-169.
86. Shen, C., Huang, C. -Y., Chu, C. -H., & Liao, H. -C. (2010). Virtual community loyalty: An interpersonal-interaction perspective. International Journal of Electronic Commerce, 15(1), 49–73 (Fall).
87. Shumaker, S. A., & Brownell, A. (1984). Toward a theory of social support: Closing conceptual gaps. Journal of Social Issues, 40(4), 11-36.
88. Skowronski, J. J., & Carlston, D. E. (1989). Negativity and extremity biases in impression formation: A review of explanations. Psychological bulletin, 105(1), 131.
89. Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological bulletin, 119(1), 3.
90. Smith, C. A., Organ, D. W., & Near, J. P. (1983). Organizational citizenship behavior: Its nature and antecedents. Journal of applied psychology, 68(4), 653.
91. Söderlund, M.,& Rosengren,S.(2007). Receiving word-of-mouth from the service customer: An emotion-based effectiveness assessment. Journal of Retailing and Consumer Services, 14 (2), 123–136.
92. Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of marketing, 72(2), 99-113.
93. Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of communication, 42(4), 73-93.
94. Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
95. Klein, S. M. (1996). A management communication strategy for change. Journal of Organizational Change Management, 9(2), 32-46.
96. Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications: A motivational analysis. ACR North American Advances.
97. Swan, J. E., & Oliver, R. L. (1989). Postpurchase communications by consumers. Journal of retailing, 65(4), 516.
98. Tidwell, L. C., & Walther, J. B. (2002). Computer‐mediated communication effects on disclosure, impressions, and interpersonal evaluations: Getting to know one another a bit at a time. Human communication research, 28(3), 317-348.
99. Tirunillai, S., & Tellis, G. J. (2012). Does chatter really matter? Dynamics of user-generated content and stock performance. Marketing Science, 31(2), 198-215.
100. Tirunillai, S., & Tellis, G. J. (2014). Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation. Journal of Marketing Research, 51(4), 463-479.
101. Van Noort, G., & Willemsen, L. M. (2012). Online damage control: The effects of proactive versus reactive webcare interventions in consumer-generated and brand-generated platforms. Journal of Interactive Marketing, 26(3), 131-140.
102. Vermeulen, I. E., & Seegers, D. (2008). Tried and tested: The impact of online hotels on consumer consideration. Tourism Management, 30(1), 123-127.
103. Ward, J. C., & Ostrom, A. L. (2006). Complaining to the masses: The role of protest framing in customer-created complaint web sites. Journal of Consumer Research, 33(2), 220-230.
104. Wasko, M. M., & Faraj, S. (2000). “It is what one does”: why people participate and help others in electronic communities of practice. The journal of strategic information systems, 9(2-3), 155-173.
105. Weiner, B. (2000). Attributional thoughts about consumer behavior. Journal of Consumer research, 27(3), 382-387.
106. Weitzl, W., & Hutzinger, C. (2017). The effects of marketer-and advocate-initiated online service recovery responses on silent bystanders. Journal of Business Research, 80, 164-175.
107. Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of marketing research, 258-270.
108. Yang, J., & Mai, E. S. (2010). Experiential goods with network externalities effects: An empirical study of online rating system. Journal of Business Research, 63(9-10), 1050-1057.
109. Zhang, J. Q., Craciun, G., & Shin, D. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 1336-1341.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20018-
dc.description.abstract隨著科技的發展,愈來愈多的消費者經由網路尋求他人對某些產品的使用經驗,藉此降低購買風險和不確定性,線上口碑對消費者購物行為之影響與日俱增。隨著社交媒體平台的蓬勃發展,更是帶動了線上口碑的發展,同時,越來越多的消費者亦會透過虛擬社群發佈負面口碑,分享個人對品牌的負面觀點。儘管少數文獻曾探討廠商的服務補救措施與網路回應模式,作為協助品牌因應負面線上口碑的方式,但這些研究多只聚焦於廠商主導的因應策略,忽略了社群成員以及社群特質可能造成的影響。有鑑於此,本研究試圖針對虛擬社群中之負面口碑及其衍生性口碑回應進行討論,透過深度訪談探討由社群成員所共同主導之衍生性口碑回應,以及虛擬社群特質對其他成員品牌態度的影響。本研究結果發現,衍生性口碑回應之定錨性、感染性、深度性,能夠改善社群中負面口碑對成員負面品牌態度的影響;而虛擬社群當中的社群領袖、社群規範與互動氛圍等特性,則能協助增強衍生性口碑回應之影響效果。zh_TW
dc.description.abstractThe development of internet has changed the way consumers seek brand-related information. Nowadays consumers turn to digital arena for electronic word-of-mouth (eWOM) to adverse risk and uncertainty. Meanwhile, more consumers tend to share negative comments of brands in virtual communities. The negative electronic word-of-mouth (NeWOM) thus poses new threats for brands. Even though few studies attempted to tap this issue by proposing service recovery and webcare responses as recommendations for brands, the research focus is restricted to marketer-initiated response tactics, which neglects the potential influence of responses initiated by community members and the virtual community traits. Therefore, this study focuses on NeWOM and the word-of-mouth responses taking place in virtual community, trying to explore how member-initiated word-of-mouth responses and virtual community traits influence bystanders’ brand attitude. This research utilizes in-depth interviews to investigate the issue. The results demonstrate that the anchoring, contagious and profound nature of member-initiated word-of-mouth responses can improve the negative impact of NeWOM on bystanders’ brand attitude. In addition, the virtual community traits associated with the presence of community opinion leaders, community norms and interactive patterns are effective in enhancing the effect of member-initiated word-of-mouth responses.en
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dc.description.tableofcontents目錄
誌謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VI
表目錄 VII
第一章、緒論 1
第一節、研究動機與目的 1
第二節、研究流程 4
第二章、文獻回顧 5
第一節、口碑傳播與負面線上口碑 5
第二節、虛擬社群中的負面口碑與影響 7
第三節、改善虛擬社群負面口碑影響效果之變因 8
第三章、研究方法 11
第一節、研究架構圖 11
第二節、質化研究的定義 11
第三節、質性研究的方法 12
第四節、研究對象選取 13
第四章、個案描述與分析 17
第一節、虛擬社群負面口碑對成員品牌態度影響 17
第二節、衍生性口碑回應之影響 18
第三節、虛擬社群特質之影響 25
第五章、結論與建議 32
第一節、研究結論 32
第二節、研究貢獻 34
第三節、管理意涵 34
第四節、研究限制與未來研究 35
參考文獻 37
dc.language.isozh-TW
dc.title虛擬社群中的負面口碑、衍生性口碑回應與品牌態度關係之研究zh_TW
dc.titleA study of negative electronic word-of-mouth, member-initiated word-of-mouth responses and brand attitude in virtual communityen
dc.typeThesis
dc.date.schoolyear106-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳思寬,黃恆獎
dc.subject.keyword線上負面口碑,衍生性口碑,社群特質,zh_TW
dc.subject.keywordNegative Electronic Word-of-Mouth,Member-initiated Word-of-Mouth Responses,Virtual Community Traits,en
dc.relation.page48
dc.identifier.doi10.6342/NTU201801405
dc.rights.note未授權
dc.date.accepted2018-07-11
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
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