通訊軟體貼圖購買意圖之探討—以LINE為例

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李昕儒(Hsin-Ju Lee) 查詢紙本館藏

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資訊管理學系

論文名稱

通訊軟體貼圖購買意圖之探討—以LINE為例
(A Study on Purchase Intention of Cartoon Stickers for Messaging Software — The Case of LINE)

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摘要(中)

近年來因行動裝置與網際網路的普及，即時通訊軟體成了聯繫他人、維持互動的主要工具之一。其中，通訊軟體LINE在台灣即佔有73%的使用人數，能創造如此高的使用率，其原因莫過於「貼圖」的創新與創意。貼圖強大的情緒張力以及幽默感，賦予使用者一種自我形象，因此在與他人的對話中使用貼圖也成為新興的溝通方式，更成功創造前所未有的貼圖經濟效應。因此，本研究欲探討，為何在每個人都有免費LINE貼圖可使用的情況下，仍讓許多使用者願意以付費方式再購入其他種類貼圖，並分析其中有哪些因素會影響消費者的購買行為。本研究以計畫行為理論 (Theory of Planned Behavior, TPB) 作為研究基礎架構，將其延伸成從過去的使用行為至購買意圖的連續行為之模型，並以「個人創新性」和取得貼圖的「取得貼圖的積極性」作為調節效果，探討對消費者購買意圖的影響。
本研究利用「問卷調查法」進行研究資料的蒐集，總計回收有效樣本數達到386份，並且透過SPSS和PLS進行資料分析，用以檢驗研究假說。而研究結果發現：(1) 在對於LINE貼圖購買意圖中，調節變數「個人創新性」和「取得貼圖的積極性」皆會有顯著的調節效果存在。(2) 在使用LINE貼圖行為的情境下，描述性規範相較於命令性規範對個人的行為影響更為顯著。

摘要(英)

Along with the popularity of mobile devices and the Internet, instant message software has become a prominent tool for interpersonal communications. In Taiwan today, there are about 73% people using “LINE” as messaging tool. One of the reasons for its success is its cartoon “sticker” feature, which is creative and intriguing to users. Stickers provide a powerful way to express emotion and humor, effectively providing users with a self-image in a dialogue. Therefore, the use of stickers in dialogues has become a new way of communication, and also succeeded in creating an amazing economic return. Based on these, this study attempts to look into why those who already owned free stickers still keep on buying new stickers. It also aims to uncover the factors that affect consumer buying intention in this setting. In this study, the theory of planned behavior (TPB) is used as the foundation, with extension to continuous behavior from past usage experience to purchase intention, and “personal innovativeness” and “initiative” as the moderating effects.
Data was collected from 386 informants through a web-based questionnaire distributed through relevant discussion groups on the Internet. SPSS and PLS were employed as data analysis tools. Results reveal that: (1) “personal innovativeness” and “initiative” effectively moderate purchasing intention for LINE stickers; and (2) descriptive norm is more likely to influence the respondents than injunctive norm in LINE sticker usage behavior.

關鍵字(中)

★ LINE貼圖
★ 計畫行為理論
★ 購買意圖
★ 產品特性
★ 個人創新

關鍵字(英)

★ LINE stickers
★ theory of planned behavior (TPB)
★ purchase intention
★ product characteristics
★ personal innovativeness

論文目次

中文摘要 v
Abstract vi
誌謝 vii
圖目錄 x
表目錄 xi
第一章緒論 1
1.1 研究背景 1
1.2 研究動機 1
1.3 研究目的 3
1.4 研究流程 4
第二章文獻探討 5
2.1 計畫行為理論 5
2.2 描述性規範 13
2.3 產品特性 15
2.4 個人創新性 19
第三章研究方法 21
3.1 研究架構 21
3.2 研究變數之操作化 25
3.3 研究設計 31
第四章資料分析 32
4.1 樣本描述性統計分析 32
4.2 問卷量表之信效度檢驗 34
4.3 假說檢定 38
4.4 調節效果 41
4.5 小結 44
第五章結論與建議 46
5.1 研究結果 46
5.2 學術意涵 49
5.3 管理意涵 50
5.4 研究限制與未來建議 52
參考文獻 53
英文文獻 53
中文文獻 57
附錄一紙本問卷 58
附錄二 PLS路徑分析圖 61
附錄三 Bootstrap路徑分析圖 62

參考文獻

英文文獻
1. Aaker, 1996, “Measuring brand equity across products and markets,” California Management Review, Vol. 38, No. 3, pp. 102-120.
2. Agarwal, R., and Prasad, J., 1998, “A conceptual and operational definition of personal innovativeness in the domain of information technology,” Information Systems Research, Vol. 9, No. 2, pp. 204-215.
3. Agarwal, R. and Karahanna, E., 2000, “Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage,” MIS Quarterly, Vol.24, No. 4, pp. 665-694.
4. Ajzen, I., and Fishbein M., 1975, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, pp. 53-89.
5. Ajzen, I., and Fishbein, M., 1977, “Attitude-behaviour relations: a theoretical analysis and review of empirical research,” Psychological Bulletin, Vol. 84, pp. 888-918.
6. Ajzen, I., and Fishbein, M., 1980, Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall.
7. Ajzen, I., 1985, “From intentions to actions: a theory of planned behavior,” In J. Kuhl., & J. Beckman (Eds.), Action-Control: From Cognition to Behavior, Heidelberg: Springer, pp. 11-39.
8. Armitage, C. J., and Conner, M., 2001, “Efficacy of the theory of planned behavior: A meta-analytic review,” British Journal of Social Psychology, Vol. 40, pp. 471-499.
9. Asch, S. E., 1953, Effects of Group Pressure Upon The Modification and Distortion of Judgments, New York, NY: Harper and Row.
10. Barry and Griffin, 1994, “Work and/ or fun: Measuring Hedonic and Utilitarian and Shopping Value,” Journal of Consumer Research, Vol. 20, pp. 644-656.
11. Bandura, A., 1977, “Self-efficacy: toward a unifying theory of behavioral change,” Psychological Review, Vol. 84, pp. 191-215.
12. Bandura, A. 1982, “Self-efficacy mechanism in human agency,” American Psychologist, Vol. 37, pp. 122-147.
13. Bandura, A., and Cervone, D., 1983, “Self-evaluative and self-efficacy mechanisms governing the motivational effects of goal systems,” Journal of Personality and Social Psychology, Vol. 45, No. 5, pp. 1017-1028.
14. Bearden, W. O. and Etzel M. J., 1982, “Reference group influence on product and brand purchase decisions,” Journal of Consumer Research, Vol. 9, No. 2, pp. 183-194.
15. Becker, G.S., Michael, R.T., and Grossman, M., 2007, Economic Theory, New Brunswick, NJ: Transaction Publishers, Piscataway.
16. Berry, L. L., Seiders, K., and Grewal, D., 2002, “Understanding service convenience,” Journal of Marketing, Vol. 66, No. 7, pp. 1-17.
17. Bhatti, T., 2007, “Exploring factors influencing the adoption of mobile commerce,” Journal of Internet Banking and Commerce, Vol. 12, No. 3, pp. 1-13.
18. Bhattacherjee, A., 2001, “Understanding information systems continuance: An expectation-confirmation model,” MIS Quarterly, Vol. 25, No. 3, pp. 351-370.
19. Burnkrant, R. E. and A. Cousineau, 1975, “Informational and normative social influence in buyer behavior,” Journal of Consumer Research, Vol. 2, No. 3, pp. 206-215.
20. Cartwright, D., 1968, “The nature of group cohesiveness,” In D. Cartwright & A. Zander (Eds.), Group Dynamics: Research and Theory, pp. 91-109.
21. Cialdini, R. B., Reno, R. R., and Kallgren, C. A., 1990, “A focus theory of normative conduct: recycling the concept of norms to reduce littering in public places,” Journal of Personality and Social Psychology, Vol. 58, No. 6, pp. 1015-1026.
22. Cialdini, R. B., Reno, R. R., and Kallgren, C. A., 1991, “A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior,” Advances in Experimental Social Psychology, Vol. 24, pp. 201-234.
23. Compeau, D.R., and Higgins, C.A., 1995, “Computer self-efficacy: development of a measure and initial test,” MIS Quarterly, Vol. 19, No. 2, pp. 189-211.
24. Davis, F. D., 1989, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340.
25. Dhar, R., and Wertenbroch, K., 2000, “Consumer choice between hedonic and utilitarian goods,” Journal of Marketing Research, Vol.37, pp. 60-71.
26. Eagly, A. H. and S. Chaiken, 1993, The Psychology of Attitudes, Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.
27. Fang, J., Shao, P., and Lan, G., 2009, “Effects of innovativeness and trust on web survey participation,” Computers in Human Behavior, Vol. 25, pp. 144-152.
28. Forsyth, D. R., 2009, Group Dynamics, Wadsworth Pub Co.
29. Harlam, Bari A., Aradhna Krishna, Donald R. Lehmann and Carl Mela, 1995, “Impact of bundle type, price framing and familiarity on purchase intention for the bundle,” Journal of Business Research, Vol. 33, No. 1, pp. 57-66.
30. Hirschman and Holbrook, 1982, “Hedonic consumption: emerging concepts, methods and propositions,” Journal of Marketing, Vol. 46, pp. 92-101.
31. Hung, S. Y., Ku, C. Y., and Chang, C. M., 2003, “Critical factors of WAP services adoption: an empirical study,” Electronic Commerce Research and Applications, Vol. 2, No. 1, pp. 42-60.
32. Jashapara, A., and Tai, W.C., 2006, “Understanding the complexity of human characteristics on e-learning systems: an integrated study of dynamic individual differences on user perceptions of ease of use,” Knowledge Management Research & Practice, Vol. 4, No. 3, pp. 227-39.
33. Kevin E. Voss, Eric R. Spangenberg and Bianca Grohmann, 2003, “Measuring the hedonic and utilitarian dimensions of consumer attitude,” Journal of Marketing Research, Vol. 40, No.3, pp. 310-320.
34. Kuo, Y. F., and Yen, S. N., 2009, “Towards an understanding of the behavioral intention to use 3G mobile value-added services,” Computers in Human Behavior, Vol. 25, No.1, pp. 103-110.
35. Lu, J., Yao, J. E., and Yu, C. S., 2005, “Personal innovativeness, social influences and adoption of wireless internet services via mobile technology,” The Journal of Strategic Information System, Vol. 14, No.3, pp. 245-268.
36. Lu, H. P., and Wang, S. M., 2008, “The role of internet addiction in online game loyalty: an exploratory study,” Internet Research, Vol. 18, No. 5, pp. 499-519.
37. Lu, J., Liu, C., Yu, C. S., and Wang, K., 2008, “Determinants of accepting wireless mobile data services in China,” Information & Management, Vol. 45, No. 1, pp. 52-64.
38. Malhotra, Y. and Galletta, D.F., 1999, “Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation,” Proceedings of the 32nd Hawaii International Conference on System Sciences, pp. 6-14.
39. Mano and Oliver, 1993, “Assessing the dimensionality and structure of the consumption experience: evaluation, feeling, and satisfaction,” Journal of Consumer Research, Vol. 20, pp. 451-466.
40. Mason and Bequette, 1998, “Product experience and consumer product attribute inference accuracy,” Journal of Consumer Marketing, Vol. 15, No. 4, pp. 343-357.
41. Mazumdar, Tridib and Sung Youl Jun, 1993, “Consumer evaluations of multiple versus single price changes,” Journal of Consumer Research, Vol. 20, pp. 441-450.
42. Mowday, R. T., 1978, “The exercise of upward influence in organizations,” Administrative Science Quarterly, Vol. 23, pp. 137-156.
43. Nagel, J. H., 1975, The Descriptive Analysis of Power, New Haven: Yale University Press.
44. Niles, S.G., & Sowa, C.J., 1992, “Mapping the homological network of career self-efficacy,” The Career Development Quarterly, Vol. 41, No. 1, pp. 13-21.
45. Oliver, R. L., 1980, “A cognitive model of the antecedents and consequences of satisfaction decisions,” Journal of Marketing Research, Vol.17, No.4, pp. 460-469.
46. Pajares, F., 1996, “Self-efficacy beliefs in achievement setting,” Review of Educational Research, Vol. 66, pp. 543-578.
47. Rivis, A., and Shreeran, P., 2003, “Descriptive norms as an additional predictor in the theory of planned behaviour: a meta- analysis,” Current Psychology: Developmental, Learning, Personality, Social, Vol. 22, No. 3, pp. 218-233.
48. Rogers, E. M., 1995, Diffusion of Innovations (4 ed.), New York, Free Press.
49. Simonin, Bernard L. and Julie A. Ruth, 1995, “Bundling as a strategy for new product introduction: effects on consumers’ reservation prices for the bundle, the new product, and its tie-in,” Journal of Business Research, Vol. 33, pp. 219-230.
50. Solomon, M.R., 2004, Consumer Behavior: Buying, Having and Being (6th ed.), Paramount Publishing, Boston, MA.
51. Sproull, L., M. Subramani, S. Kiesler, J. H. Walker and K. Waters, 1996, “When the interface is a face,” Human-Computer Interaction, Vol. 11, pp. 97-124.
52. Strahilevitz, 1999, “The effects of product type and donation magnitude on willingness to pay more for a charity-linked brand,” Journal of Consumer Psychology, Vol. 8, No. 3, pp.215-241.
53. Swan, J. E. and Combs, L. J., 1976, “Product performance and consumer satisfaction: a new concept,” Journal of Marketing, Vol. 40, pp. 25-33.
54. Taylor, S., and Todd, P. A., 1995a, “Decomposition and cross effects in the theory of planned behavior: A study of consumer adoption intentions,” International Journal of Research in Marketing, Vol. 12, pp. 137-155.
55. Taylor, S., and Todd, P. A., 1995b, “Understanding information technology usage: A test of competing models,” Information System Research, Vol. 6, No. 2, pp. 144-177.
56. Tedeschi, J. T., B. R. Schlenker and S. Lindskold, 1972, “The exercise of power and influence: the source of influence,” In J. T. Tedeschi (Ed.), The Social Influence Process, Chicago: Aldine-Atherton.
57. Triandis, H.C., 1977, International Behavior, Monterey, CA: Brooks/ Cole.
58. White, K., Smith, J., Terry, D., Greenslade, J., and McKimmie, B., 2009, “Social influence in the theory of planned behavior: the role of descriptive, injunctive, and in-group norms,” British Journal of Social Psychology, Vol. 48, No. 1, pp. 135-158.
59. Woodman, R. W., J. E. Sawyer and R. W. Griffin, 1993, “Toward a theory of organizational creativity,” Academy of Management, Vol. 18, No. 2, pp.293-321.
60. Wu, J., and Liu, D., 2007, “The effects of trust and enjoyment on intention to play online games,” Journal of Electronic Commerce Research, Vol. 8, No. 2, pp. 128-140.
61. Yang, K. C. C., 2005, “Exploring factors affecting the adoption of mobile commerce in Singapore,” Telematics and Informatics, Vol. 22, No. 3, pp. 257-277.
62. Yi, M. Y., Fiedler, K. D., and Park, J. S., 2006, “Understanding the role of individual innovativeness in the acceptance of IT-based innovations: comparative analyses of models and measures,” Decision Sciences, Vol. 37, No. 3, pp. 393-426.
63. Zajonc, R. B., 1965, “Social facilitation,” Science, Vol. 149, No. 3681, 269–274.

中文文獻
1. Bandura, A., 1977, Social learning theory, New York: General Learning Press, 周曉虹譯，1995，社會學習理論，台北：桂冠圖書。
2. Inside，2013，「遊戲與貼圖大賣，LINE 2013 年營收破百億」， http://www.inside.com.tw/2014/02/06/line-2013-revenue-report，取用日期：2014年6月。
3. 王渝薇，2011，「玩線上遊戲是計畫行為嗎？－以沉浸經驗延伸計畫行為理論」，國立中央大學資訊管理研究所碩士論文。
4. 何基鼎，2006，「影響民眾申裝國道電子收費系統行為意向因素之研究」，國立中央大學資訊管理研究所碩士論文。
5. 許淑穗、張德榮，1999，「生涯自我效能及其相關因素對大學生生涯選擇影響之徑路分析」，長榮學報，第三卷，第一期：117~137頁。
6. 張春興，1994，現代心理學，台北：東華書局。
7. 創市際，2013，「創市際ARO公佈台灣首份智慧型手機使用行為測量報告」，http://www.insightxplorer.com/news/news_03_23_13.html，取用日期：2014年6月。
8. 遠見雜誌，2014，「LINE將打造專屬商店! 2014目標5億用戶」，http://www.gvm.com.tw/webonly_content_1841.html，取用日期：2014年6月。

指導教授

范錚強(Cheng-Kiang Farn)

審核日期

2014-7-14

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