以科技接受模式及從眾行為探討消費者對運動型穿戴式設備之購買意圖

Applying Technology Acceptance Model and Herding Behavior to Study the Purchasing Intentions of Consumers to Sport Wearable Devices

林孟萱

科技接受模式 ； 從眾行為 ； 穿戴式設備 ； Technology Acceptance Model ； Herding Behavior ； Wearable Devices

屏東科技大學資訊管理系所學位論文

2016年

碩士

陳灯能

繁體中文

隨者運動風氣的盛行，運動型穿戴式設備儼然已成為運動競賽選手們在進行運動訓練或競賽時的必備裝備之一。然而消費者對於運動型穿戴式設備之購買意圖，不單只是因為穿戴式設備能為其生活帶來便利性，也因為其容易使用及受到朋友們的口語相傳所影響。本研究以科技接受模式及從眾行為理論為基礎，以擁有運動型穿戴式設備之消費者為研究對象，探討消費者對於運動型穿戴式設備的購買意圖。本研究採用問卷調查法，總共收集308份有效問卷，再利用SPSS20.0及AMOS 21統計套裝軟體進行問卷整理及分析統計，並驗證本研究所提出之各項假說。研究結果顯示在影響消費者的運動型穿戴式設備購買意圖的變數中，消費者的認知有用性會影響其態度，消費者的個人特性及群體特性會影響消費者的從眾行為，而從眾行為會影響消費者的態度，最終影響購買運動型穿戴式設備的意圖。

With the fashion of sports, the sport wearable devices have become one of the necessary equipment of the contestants in the sport games. Therefore, to study the impact factors on the purchasing intentions of consumers to the sport wearable devices is an interesting research issue. In this research, we developed a research model based on Technology Acceptance Model (TAM) and Herding Behavior theory to explore why the consumers want to buy a sport wearable device. We conducted a questionnaire survey, and selected the consumer who has at least one sport wearable device as the research subject. There were 308 effective samples collected and we applied SPSS 20 and AMOS 21 as the statistical tools to analyze the research model. The analysis results showed that, both of attitude and herding behavior of consumers have significant impacts on the purchasing intension of sport wearable devices. The research results are helpful to the sport wearable device manufacturers to make the marketing strategy.

1. 1. 王志源. (2007). 體驗行銷要素, 體驗價值與涉入程度對中華職棒觀眾再購意願之影響. 臺灣師範大學運動與休閒管理研究所學位論文, 1-150.
   連結：
2. 14. 陳智陽.(2015).穿戴式科技.科技發展512期.
   連結：
3. 17. 楊子慧. (2008). 網路廣告訴求及涉入程度與消費者購買態度之關係. 中原大學商業設計研究所學位論文, 1-130.
   連結：
4. 蘇奉信, & 彭崑展. (2008). 休閒專業化程度對產品購買意願之影響. 文大商管學報,13(1), 47-64.
   連結：
5. 1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 227-247.
   連結：
6. 2. Allen, V. L. (1965). Situational factors in conformity. Advances in experimental social psychology, 2, 133-175.
   連結：
7. 3. Allison, P. D. (1992). The cultural evolution of beneficent norms. Social forces,71(2), 279-301.
   連結：
8. 4. Bagozzi, R. P., & Burnkrant, R. E. (1979). Attitude organization and the attitude–behavior relationship. journal of Personality and Social Psychology,37(6), 913-929.
   連結：
9. 5. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models.Journal of the academy of marketing science, 16(1), 74-94.
   連結：
10. 6. Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of consumer research, 9(2), 183-194.
    連結：
11. 7. Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of consumer research, 15(4), 473-481.
    連結：
12. 8. Tian, K. T., Bearden, W. O., & Hunter, G. L. (2001). Consumers' need for uniqueness: Scale development and validation. Journal of consumer research, 28(1), 50-66.
    連結：
13. 9. Bentler, P. M. (1995). EQS structural equations program manual. Multivariate Software.
    連結：
14. 11. Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer research, 2(3), 206-215.
    連結：
15. 12. Campbell, J. D., & Fairey, P. J. (1989). Informational and normative routes to conformity: The effect of faction size as a function of norm extremity and attention to the stimulus. Journal of personality and social psychology, 57(3), 457.
    連結：
16. 13. Cialdini, R. B. (1993). Influence: The psychology of persuasion. New York: Morrow.
    連結：
17. 14. Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity and compliance.
    連結：
18. 15. Corneo, G., & Jeanne, O. (1997). Conspicuous consumption, snobbism and conformism. Journal of public economics, 66(1), 55-71.
    連結：
19. 16. Curtiss, S. (1978). Genie: A Psycholinguistic Study of a Modern-day" wild Child".
    連結：
20. 17. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.
    連結：
21. 18. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    連結：
22. 19. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.
    連結：
23. 20. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    連結：
24. 21. Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The journal of abnormal and social psychology, 51(3), 629.
    連結：
25. 22. Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & management, 36(1), 9-21.
    連結：
26. 23. Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing research, 307-319.
    連結：
27. 25. Engle, J. F., Blackwell, R. D., & Minuard, P. W. (1990). Consumer Behavior. 6th.
    連結：
28. 27. Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
    連結：
29. 31. Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 16(2), 91-112.
    連結：
30. 32. Huertas, A., & Medioni, G. (1986). Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian masks. IEEE Transactions on Pattern Analysis and Machine Intelligence, (5), 651-664.
    連結：
31. 35. Kelman, H. C. (1961). Processes of opinion change. Public opinion quarterly, 25(1), 57-78.
    連結：
32. 36. Lascu, D. N., Bearden, W. O., & Rose, R. L. (1995). Norm extremity and interpersonal influences on consumer conformity. Journal of Business Research, 32(3), 201-212.
    連結：
33. 37. Lascu, D. N., & Zinkhan, G. (1999). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12.
    連結：
34. 38. Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision support systems, 29(3), 269-282.
    連結：
35. 39. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.
    連結：
36. 40. Leibenstein, H. (1950). Bandwagon, snob, and Veblen effects in the theory of consumers' demand. The quarterly journal of economics, 183-207.
    連結：
37. 41. Liang, B., & He, Y. (2012). The effect of culture on consumer choice: The need for conformity vs. the need for uniqueness. International Journal of Consumer Studies, 36(3), 352-359.
    連結：
38. 43. Mandrik, C. A., Fern, E. F., & Bao, Y. (2005). Intergenerational influence: Roles of conformity to peers and communication effectiveness. Psychology & Marketing, 22(10), 813-832.
    連結：
39. 45. McDermott, J. (2013). Big ad spenders bet on wearable tech amid softening smartphone sales. Advertising Age, 84(31), 8.
    連結：
40. 46. Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.
    連結：
41. 48. Pentland, A. (2001). Wearable information devices. IEEE Micro, 21(3), 12-15.
    連結：
42. 49. Ross, L., Bierbrauer, G., & Hoffman, S. (1976). The role of attribution processes in conformity and dissent: Revisiting the Asch situation. American Psychologist,31(2), 148.
    連結：
43. 52. Shih, H. P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719-729.
    連結：
44. 53. Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
    連結：
45. 54. Van der Heijden, H. (2003). Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information & management, 40(6), 541-549.
    連結：
46. 55. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
    連結：
47. 56. Wilkie, W. L. (1994). Consumer behavior, 3rd.
    連結：
48. 57. Zaichkowsky, J. L. (1986). Conceptualizing involvement. Journal of advertising,15(2), 4-34.
    連結：
49. 中文部分
50. 2. 毛曉夫. (1997). 來源國形象對顧客滿意度之影響-以 ELM 模式為理論基礎. 碩士論文, 國立政治大學國際貿易研究所, 台北.
51. 3. 甘偉中.(2013).https://tw.news.yahoo.com/garmin全系列運動腕錶-用科學數據增進運動樂趣-173736326.html
52. 4. 余鑑&嚴萬軒.(2013).T&D飛訊第180期。
53. 5. 吳明隆. (2008). SPSS 操作與應用：問卷統計分析實務. 五南圖書出版股份有限公司.
54. 6. 林士強. http://www.naipo.com/Portals/1/web_tw/Knowledge_Center/Research_Development/publish-58.htm 《穿戴式系列報導》
55. 7. 周文賢. (2002). 多變量統計分析: SAS/STAT 使用方法. 智勝文化出版.
56. 8. 周俊宏. (2001). 大學生網路購物從眾行為及前攝性思考之研究. 碩士, 國立成功大學.
57. 9. 花英德. (2008). 以科技接受模式探討國小學童 Moodle 教學平台使用行為之研究.
58. 10. 東方線上生活型態研究小組（2002）.科技行銷.城邦文化出版.
59. 11. 林靈宏, & 魁峰. (2006). 消費者行為學. 五南圖書出版股份有限公司.
60. 12. 陳根, & 電腦科學. (2014). 奇" 機" 上身. 第四波工業革命來襲: 穿戴式裝置時代. 上奇時代.
61. 13. 陳乃瑜. (2004). 大專學生從眾行為對外食購買決策影響之研究, 世新大學觀光學系碩士論文.
62. 15. 陳榮方.(2011). http://web.ydu.edu.tw/~alpha/%A4j%BE%C7%B3%A1%B5%7B%AB%D7%B1M%C3D%B2%CE%ADp%A4%C0%AAR%A7%DE%B3N.pdf. 量化研究方法–統計資料分析.
63. 16. 黃偉正.(2015).穿戴式產品演化趨勢與研發策略思維分析.
64. 18. 資資策會產業情報研究所.(2015). http://mic.iii.org.tw/micnew/IndustryObservations_PressRelease02.aspx?sqno=409 2016全球智慧穿戴出貨逾1.3億支.
65. 19. 劉芳梅. (1999). 產品知識對消費者從眾行為之影響, 國立政治大學企業管理學系碩士論文.
66. 20. 簡貞玉. (1996). 消費者行為, 台北: 五南. 譯自 Hawkins, DI, Best, RJ & Coney, KA.
67. 二、 西文部分
68. 10. Best, I. D. I., Motherbough III, I. D. L., & Roger, J. (2007). Consumer Behavior: Building Marketing Strategy-10/E. (CD).
69. 24. Eddy, N. (2014). Wearable technology users want style, functionality. eWeek.
70. 26. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1993). Consumer Behavior. Fort Engel, JF, Kollat, DT, et Blackwelle RD (1968). Consumer Behavior.
71. 28. Hair Jr, J. F., Anderson, R. E., Tatham, R. L., & William, C. (1995). Black. 1995.Multivariate data analysis with readings, 4.
72. 29. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6).
73. 30. Herpen, E. V., Pieters, R., & Zeelenberg, M. (2005). How product scarcity impacts on choice: Snob and bandwagon effects. NA-Advances in Consumer Research Volume 32.
74. 33. Jöreskog, K. G., & Sörbom, D. (1989). LISREL 7 user's reference guide. Scientific Software.
75. 34. Kassajian, H. H., & Sheffet, M. J. (1981). Personality and consumer behavior: An update. Perspective in Consumer Behavior, ed. Harold H. Kassarjian and Thomas S. Robertson (Glenview, Ill.: Scott, Foresman), 160-180.
76. 42. Macinnis, H. (1997). Consumer behavior. New York: Houghton Mifflin Company, 393-394.
77. 44. Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: the influence of perceived user resources. ACM SigMIS Database, 32(3), 86-112.
78. 47. Mowen, J. C., & Minor, M. (1998). Consumer behavior. 5th.
79. 50. Sangani, K. (2014). Vice versa. Engineering & Technology, 9(5), 50-53.
80. 51. Leon, G. S., Kanuk, L. L., & Ramesh, S. K. (2004). Consumer behaviour.