| 研究生: |
林詠琪 Yung-Chi Lin |
|---|---|
| 論文名稱: |
表情符號在消費評論中對可信度、產品評價、購買意願、推薦意願與願付價格之影響 The influence of emoji in consumer reviews on credibility, product evaluation, purchase intention, willingness to recommend, and willingness to pay |
| 指導教授: |
林建煌
Chien-Huang Lin |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 中文 |
| 論文頁數: | 124 |
| 中文關鍵詞: | 消費評論 、電子口碑 、表情符號 、無意義字句 、可信度 、評價 、購買意願 、推薦意願 、願付價格 |
| 外文關鍵詞: | consumer reviews, electronic word-of-mouth, emoji, meaningless sentences, credibility, product evaluation, purchase intent, willingness to recommend, willingness to pay |
| 相關次數: | 點閱:29 下載:0 |
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現今網路購物非常盛行,而在觀看消費評論時,時常能看見表情符號充斥於評論中,且使用方式非常多元,本研究欲討論表情符號在消費評論上所帶來的影響,以有無表情符號、表情符號系統、有無無意義語句、表情符號表情誇張程度、表情符號數量及事件動機做為自變數,並研究在不同的訊息類別(正/中/負評)情境下,是否有不同的影響效果。本研究以實驗研究法設計五個實驗,並以大學生和研究生為研究對象,探討其中的主效果及交互作用。其主要的研究結果如下︰
1. 證實在消費評論中,正評顯著大於中評與負評,但中評與負評對可信度、產品評價、購買意願、推薦意願及願付價格則無差異。
2. 證實表情符號的添加主要在負面評論中有顯著影響,會使可信度增加,但降低了對產品的評價、購買意願、推薦意願及願付價格。
3. 證實使用三星系統或蘋果系統的表情符號在評論中不會有顯著影響。
4. 證實無意義語句的添加主要在負面評論中有顯著影響,會提升對產品的評價、購買意願及願付價格。
5. 證實表情符號表情誇張程度的效果主要在負面評論中有顯著影響,添加表情誇張程度高的負面表情符號比添加誇張程度低的負面表情符號對產品的評價更好,且提升購買意願、推薦意願及願付價格。
6. 證實添加表情符號數量的多寡對可信度、產品評價、購買意願及推薦意願皆沒有顯著影響,但在願付價格中則有顯著影響,中性評論中,添加多個表情符號會有更佳的願付價格;在負面評論中,添加單個表情符號會比添加多個表情符號有更佳的願付價格。
7. 證實在正式的消費動機事件中,消費者會更關注於穿著正式服裝的評論者所下的評論內容。
Online shopping is very popular nowadays. When viewing consumer reviews, emoji are often seen in reviews and are used in a variety of ways. This study is intended to discuss the effects of emoji in consumer reviews, and study whether different ratings (positive/neutral/negative) comments have different effects. The research designed five experiments with experimental research methods, and studied the main effects and interactions. The main research results are as follows:
1. In the consumer review, the positive reviews are significantly better than the neutral and negative reviews, but the neutral and negative reviews have no difference in the credibility, product evaluation, purchase intention, willingness to recommend, and willingness to pay.
2. The addition of emoji have a significant impact on negative reviews, which increases the credibility, but lower the evaluation of the product, the willingness to purchase, the willingness to recommend, and the willingness to pay.
3. The emoji used by the Samsung system or the Apple system do not have a significant influence on the comments.
4. The addition of meaningless sentences has a significant impact on negative reviews, which will increase the evaluation of the product, the willingness to buy, and the willingness to pay.
5. The effect of exaggeration of emoji expression mainly has a significant impact on negative reviews. Adding a negative emoji with a high degree of exaggeration is better than adding a negative emoji with a low degree of exaggeration. It also improves the willingness to purchase, the willingness to recommend and the willingness to pay.
6. The difference in the number of added emojis had no significant effect on credibility, product evaluation, purchase intention, and willingness to recommend, but there was a significant impact on the willingness to pay. In neutral reviews, adding multiple emoji will have a better price to pay. In the negative comments, adding a single emoji will have a better price to pay.
7. In formal consumer motivation events, consumers will pay more attention to commenters who dress in formal clothing have commented on.
1. Abe, Jo Ann A., Michael Beetham, and Carroll E. Izard (2002), “What Do Smiles Mean?: An Analysis in Terms of Differential Emotions Theory,” Mellen Studies in Psychology, 4, 83-109.
2. Ajzen, Icek, Thomas C. Brown, and Lori H. Rosenthal (1996), “Information Bias in Contingent Valuation: Effects of Personal Relevance, Quality of Information, and Motivational Orientation,” Journal of Environmental Economics and Management, 30(1), 43-57.
3. Ames, Daniel R., and Gita V. Johar (2009), “I'll Know What You're Like When I See How You Feel: How and When Affective Displays Influence Behavior-Based Impressions,” Psychological Science, 20(5), 586-593.
4. Arndt, Johan (1967), “Role of Product-Related Conversations in the Diffusion of a New Product,” Journal of Marketing Research, 291-295.
5. Bailey, Ainsworth Anthony (2004), “Thiscompanysucks. Com: The Use of the Internet in Negative Consumer‐To‐Consumer Articulations,” Journal of Marketing Communications, 10(3), 169-182.
6. Belkin, Liuba Y., and Naomi B. Rothman (2017), “Do I Trust You? Depends on What You Feel: Interpersonal Effects of Emotions on Initial Trust at Zero‐Acquaintance,” Negotiation and Conflict Management Research, 10(1), 3-27.
7. Bodenhausen, Galen V., Geoffrey P. Kramer, and Karin Süsser (1994), “Happiness and Stereotypic Thinking in Social Judgment,” Journal of Personality and Social Psychology, 66(4), 621.
8. Butler, Sara, and Kathy Roesel (1989), “The Influence of Dress on Students' Perceptions of Teacher Characteristics,” Clothing and Textiles Research Journal, 7(3), 57-59.
9. Butler, Sara, and Kathy Roesel (1991), “Students' Perceptions of Male Teachers: Effects of Teachers' Dress and Students' Characteristics,” Perceptual and Motor Skills, 73(3), 943-951.
10. Buttle, Francis A. (1998), “Word of Mouth: Understanding and Managing Referral Marketing,” Journal of Strategic Marketing, 6(3), 241-254.
11. Chan, Yolanda YY, and Eric WT Ngai (2011), “Conceptualising Electronic Word of Mouth Activity: An Input-Process-Output Perspective,” Marketing Intelligence and Planning, 29(5), 488-516.
12. Cheshin, Arik, Anat Rafaeli, and Nathan Bos (2011), “Anger and Happiness in Virtual Teams: Emotional Influences of Text and Behavior on Others’ Affect in the Absence of Non-Verbal Cues,” Organizational Behavior and Human Decision Processes, 116(1), 2-16.
13. Dabbs, James M. (1997), “Testosterone, Smiling, and Facial Appearance,” Journal of Nonverbal Behavior, 21(1), 45-55.
14. Davis, Mark, and Peter Edberg (2015), Unicode Emoji. Technical Report 51.
15. Derks, Daantje, Arjan ER Bos, and Jasper Von Grumbkow (2007), “Emoticons and Social Interaction on the Internet: The Importance of Social Context,” Computers in Human Behavior, 23(1), 842-849.
16. Derks, Daantje, Arjan ER Bos, and Jasper Von Grumbkow (2008), “Emoticons in Computer-Mediated Communication: Social Motives and Social Context,” CyberPsychology and Behavior, 11(1), 99-101.
17. Derks, Daantje, Agneta H. Fischer, and Arjan ER Bos (2008), “The Role of Emotion in Computer-Mediated Communication: A Review,” Computers in Human Behavior, 24(3), 766-785.
18. Deutsch, Francine M., Dorothy LeBaron, and Maury March Fryer (1987), “What Is In A Smile?,” Psychology of Women Quarterly, 11(3), 341-352.
19. Dimson, Thomas (2015), “Emojineering Part 1: Machine Learning for Emoji Trends.” Instagram Engineering Blog, 30.
20. Dodds, William B., Kent B. Monroe, and Dhruv Grewal (1991), “Effects of Price, Brand, and Store Information on Buyers' Product Evaluations,” Journal of Marketing Research, 28(3), 307-319.
21. Eagly, Alice H., and Shelly Chaiken (1993), “The Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers,” Fort Worth, TX
22. Fishbein, Martin, and Icek Ajzen (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research.
23. Fiske, Susan T., Amy JC Cuddy, and Peter Glick (2007), “Universal Dimensions of Social Cognition: Warmth and Competence,” Trends in Cognitive Sciences, 11(2), 77-83.
24. Fridlund, Alan J. (2014), Human Facial Expression: An Evolutionary View. Academic Press.
25. Fullwood, Chris, and Orsolina I. Martino (2007), “Emoticons and Impression Formation,” Applied Semiotics, 19(7), 4-14.
26. Garrison, Remley, D., Thomas, P., and Wierszewski, E. (2011), “Conventional Faces: Emoticons in Instant Messaging Discourse,” Computers and Composition, 28(2), 112-125.
27. Glikson, Ella, Arik Cheshin, and Gerben A. van Kleef (2017), “The Dark Side of a Smiley: Effects of Smiling Emoticons on Virtual First Impressions,” Social Psychological and Personality Science.
28. Gross, Michael A., and Laura K. Guerrero (2000), “Managing Conflict Appropriately and Effectively: An Application of the Competence Model to Rahim's Organizational Conflict Styles,” International Journal of Conflict Management, 11(3), 200-226.
29. Gunther, Albert C. (1992), “Biased Press or Biased Public? Attitudes Toward Media Coverage of Social Groups,” Public Opinion Quarterly, 56(2), 147-167.
30. Harrison-Walker, L. Jean (2001), “The Measurement of Word-Of-Mouth Communication and An Investigation of Service Quality and Customer Commitment As Potential Antecedents,” Journal of Service Research, 4(1), 60-75.
31. Hennig-Thurau, T., Groth, M., Paul, M., and Gremler, D. D. (2006), “Are All Smiles Created Equal? How Emotional Contagion and Emotional Labor Affect Service Relationships,” Journal of Marketing, 70(3), 58-73.
32. Hennig‐Thurau, Thorsten, Gwinner, K. P., Walsh, G., and 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.
33. Hess, Ursula, Reginald Adams Jr, and Robert Kleck (2005), “Who May Frown and Who Should Smile? Dominance, Affiliation, and the Display of Happiness and Anger,” Cognition and Emotion, 19(4), 515-536.
34. Huang, Albert H., David C. Yen, and Xiaoni Zhang (2008), “Exploring The Potential Effects of Emoticons,” Information and Management, 45(7), 466-473.
35. Huffaker, David A., and Sandra L. Calvert (2005), “Gender, Identity, and Language Use in Teenage Blogs,” Journal of Computer-Mediated Communication, 10(2), 00-00.
36. Judd, Charles M., James-Hawkins, L., Yzerbyt, V., & Kashima, Y. (2005), “Fundamental Dimensions of Social Judgment: Understanding The Relations Between Judgments of Competence and Warmth,” Journal of Personality and Social Psychology, 89(6), 899.
37. Kaye, Linda K., Helen J. Wall, and Stephanie A. Malone (2016), “Turn That Frown Upside-Down: A Contextual Account of Emoticon Usage on Different Virtual Platforms,” Computers in Human Behavior, 60, 463-467.
38. Kelly, Ryan, and Leon Watts (2015), “Characterising the Inventive Appropriation of Emoji as Relationally Meaningful in Mediated Close Personal Relationships,” Experiences of Technology Appropriation: Unanticipated Users, Usage, Circumstances, and Design.
39. Kraus, Michael W., and Teh-Way David Chen (2013), “A Winning Smile? Smile Intensity, Physical Dominance, and Fighter Performance,” Emotion, 13(2), 270-279.
40. Krohn, Franklin B. (2004), “A Generational Approach to Using Emoticons as Nonverbal Communication,” Journal of Technical Writing and Communication, 34(4), 321-328.
41. Liebman, Noah, and Darren Gergle (2016), “It's (Not) Simply A Matter of Time: The Relationship Between CMC Cues and Interpersonal Affinity,” Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. ACM, 570-581.
42. Lo, Shao-Kang (2008), “The Nonverbal Communication Functions of Emoticons in Computer-Mediated Communication,” CyberPsychology and Behavior, 11(5), 595-597.
43. Lukavsky, Julie, Sara Butler, and Amy J. Harden (1995), “Perceptions of an Instructor: Dress and Students' Characteristics,” Perceptual and Motor Skills, 81(1), 231-240.
44. Luor, Tainyi Ted, Ling-ling Wu, Hsi-Peng Lu, and Yu-Hui Tao (2010), “The Effect of Emoticons in Simplex and Complex Task-Oriented Communication: An Empirical Study of Instant Messaging,” Computers in Human Behavior, 26(5), 889-895.
45. Malle, Bertram F. (2004), How the Mind Explains Behavior: Folk Explanations, Meaning, and Social Interaction. MIT Press.
46. McKnight, D. Harrison, Vivek Choudhury, and Charles Kacmar (2002), “The Impact of Initial Consumer Trust on Intentions to Transact with A Web Site: A Trust Building Model,” The Journal of Strategic Information Systems, 11(3-4), 297-323.
47. Mehu, Marc, and Robin IM Dunbar (2008), “Naturalistic Observations of Smiling and Laughter in Human Group Interactions,” Behaviour, 145(12), 1747-1780.
48. Miller, Hannah, Thebault-Spieker, J., Chang, S., Johnson, I., Terveen, L., and Hecht, B. (2016), ““Blissfully Happy” or “Ready to Fight”: Varying Interpretations of Emoji,” Proceedings of ICWSM, 2016.
49. Mizerski, Richard W. (1982), “An Attribution Explanation of the Disproportionate Influence of Unfavorable Information,” Journal of Consumer Research, 9(3), 301-310.
50. Monroe, Kent B. (1979), Pricing: Making Profitable Decisions. New York: McGraw-Hill.
51. Morwitz, Vicki G., and David Schmittlein (1992), “Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which" Intenders" Actually Buy?,” Journal of Marketing Research, 29(4), 391-405.
52. Mudambi, Susan M., and David Schuff (2010), “Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon. Com,” MIS Quarterly, 34(1), 185-200.
53. Novak, Petra Kralj, Smailović, J., Sluban, B., and Mozetič, I. (2015), “Sentiment of Emojis,” PloS one, 10(12), e0144296.
54. Ozono, Hiroki, Watabe, M., Yoshikawa, S., Nakashima, S., Rule, N. O., Ambady, N., and Adams Jr, R. B. (2010), “What’s in A Smile? Cultural Differences in The Effects of Smiling on Judgments of Trustworthiness,” Letters on Evolutionary Behavioral Science, 1(1), 15-18.
55. Park, Jaram, Barash, V., Fink, C., and Cha, M. (2013), “Emoticon Style: Interpreting Differences in Emoticons Across Cultures,” ICWSM.
56. Provine, Robert R., Robert J. Spencer, and Darcy L. Mandell (2007), “Emotional Expression Online: Emoticons Punctuate Website Text Messages,” Journal of Language and Social Psychology, 26(3), 299-307.
57. Reid, Amanda, Vince Lancuba, and Bridget Morrow (1997), “Clothing Style and Formation of First Impressions,” Perceptual and Motor Skills, 84(1), 237-238.
58. Rezabek, Landra, and John Cochenour (1998), “Visual Cues in Computer-Mediated Communication: Supplementing Text with Emoticons,” Journal of Visual Literacy, 18(2), 201-215.
59. Riordan, Monica A. (2017), “Emojis as Tools for Emotion Work: Communicating Affect in Text Messages,” Journal of Language and Social Psychology, 36(5), 549-567.
60. Schiffman, L. G., and L. L. Kanuk (2004), “Consumer Behaviour 8 th ed,” Upper Saddle.
61. See-To, Eric WK, and Kevin KW Ho (2014), “Value Co-Creation and Purchase Intention in Social Network Sites: The Role of Electronic Word-of-Mouth and Trust–A Theoretical Analysis,” Computers in Human Behavior, 31, 182-189.
62. Charles, C. (1996). “Self, Credibility,” An Integrated Approach to Communication Theory and Research, 421-41.
63. Simonson, Itamar, and Aimee Drolet (2004), “Anchoring Effects on Consumers' Willingness-to-Pay and Willingness-to-Accept,” Journal of Consumer Research, 31(3), 681-690.
64. Skovholt, Karianne, Anette Grønning, and Anne Kankaanranta (2014), “The Communicative Functions of Emoticons in Workplace E-Mails,” Journal of Computer-Mediated Communication, 19(4), 780-797.
65. Stacks, Don W., and Michael B. Salwen, eds. (2014), An Integrated Approach to Communication Theory and Research. Routledge.
66. Tauch, Channary, and Eiman Kanjo (2016), “The Roles of Emojis in Mobile Phone Notifications,” Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. ACM, 1560-1565.
67. Tigwell, Garreth W., and David R. Flatla (2016), “Oh That's What You Meant!: Reducing Emoji Misunderstanding,” Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. ACM, 859-866.
68. Tormala, Zakary L., and Derek D. Rucker (2007), “Attitude Certainty: A Review of Past Findings and Emerging Perspectives,” Social and Personality Psychology Compass, 1(1), 469-492.
69. Tossell, Chad C., Kortum, P., Shepard, C., Barg-Walkow, L. H., Rahmati, A., and Zhong, L. (2012), “A Longitudinal Study of Emoticon Use in Text Messaging from Smartphones,” Computers in Human Behavior, 28(2), 659-663.
70. Van Kleef, Gerben A., Carsten KW De Dreu, and Antony SR Manstead (2004), “The Interpersonal Effects of Anger and Happiness in Negotiations,” Journal of Personality and Social Psychology, 86(1), 57.
71. Wall, Helen J., Linda K. Kaye, and Stephanie A. Malone (2016), “An Exploration of Psychological Factors on Emoticon Usage and Implications for Judgement Accuracy,” Computers in Human Behavior, 62, 70-78.
72. Walther, Joseph B., and Kyle P. D’Addario (2001), “The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication,” Social Science Computer Review, 19(3), 324-347.
73. Weinberger, Marc G., Chris T. Allen, and William R. Dillon (1981), “Negative Information: Perspectives and Research Directions,” ACR North American Advances.
74. West, Mark Douglas (1994), “Validating a Scale for The Measurement Of Credibility: A Covariance Structure Modeling Approach,” Journalism Quarterly, 71(1), 159-168.
75. Willemsen, Lotte M., Neijens, P. C., Bronner, F., and 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.
76. Wilson, Timothy D., and Daniel T. Gilbert (2008), “Explaining Away: A Model of Affective Adaptation,” Perspectives on Psychological Science, 3(5), 370-386.
77. Wilson, Timothy D., Daniel T. Gilbert, and David B. Centerbar (2003), “Making Sense: The Causes of Emotional Evanescence,” The Psychology of Economic Decisions, 1, 209-233.
78. Wyer, Robert S., and Alison Jing Xu (2010), “The Role of Behavioral Mind‐Sets in Goal‐Directed Activity: Conceptual Underpinnings and Empirical Evidence,” Journal of Consumer Psychology, 20(2), 107-125.
79. Xia, Lan, and Nada Nasr Bechwati (2008), “Word of Mouse: The Role of Cognitive Personalization in Online Consumer Reviews,” Journal of Interactive Advertising, 9(1), 3-13.