從人類工程與社會心理觀點探討消費者對流行科技採納意願之研究_

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題名：	從人類工程與社會心理觀點探討消費者對流行科技採納意願之研究
作者：	徐意鈞
作者(外文)：	Hsu, Yi-Chun
校院名稱：	國立交通大學
系所名稱：	資訊管理研究所
指導教授：	楊千
學位類別：	博士
出版日期：	2010
主題關鍵詞：	人類工程；社會心理；流行科技；蘋果 iPod；創新擴散理論；結構方程模式；Ergonomics；Social Psychology；Fashion Technology；Apple iPod；Innovation Diffusion Theory；Structural Equation Model
原始連結：	連回原系統網址
相關次數：	被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0) 排除自我引用:1 共同引用:0 點閱:34

近年來由於消費者對於娛樂科技產品的高度需求，許多企業不斷的推出殺手級的資訊應用服務來吸引消費者並拓展企業銷售版圖。然而科技產品演進至今，已不再是功能多寡論輸贏，取而代之的是符合消費者生活型態(Life Style)、帶給消費者時髦(Beauty)、並同時具有設計感(Design)與以簡單(Simplicity)為原則的高科技產品。所以了解影響消費者對於流行科技的採納意願是在資訊科技議題中很重要的一環；然而在過去文獻當中，鮮少針對流行科技消費者採納意願的動機做深入的調查，因此本研究從人類工程（認知有用性、認知易用性、認知有趣性與認知美學性）與社會心理（社會規範與認知關鍵多數）的觀點建構研究模型，試圖找出影響消費者對流行科技採納意願的因素，並以Apple公司推出的iPod產品為例。
本研究以問卷調查方式進行，樣本對象為台灣地區的消費者，總共回收491份有效問卷，所回收的資料透過結構方程模式(Structural Equation Modeling)進行驗證與分析。研究指出三項結論：（一）研究發現在人類工程觀點部份，認知有用性、認知有趣性與認知美學性會正向的影響流行科技的採納意願，而認知易用性對於採納意願則僅有間接效果存在；（二）在社會心理觀點部分，認知關鍵多數對於採納意願呈現正向顯著影響，然而社會規範對於採納意願卻不顯著；（三）已採納流行科技的消費者在研究中各研究變數的認知上顯著高於潛在未採納的消費者的認知。

以文找文

Recently, there have been dramatic and emerging innovations in portable media devices. For example, this is evident with the Apple iPod, Microsoft Zune, Sony Walkman, Samsung and iRiver media players. Because of this, how to best understand the users’ intentions to adopt these fashionable technologies has become a new issue in the information technology domain. However in the past literature, little is published about what motivates people to adopt these innovative technologies. To address this issue, our research sought to come up with a model by integrating key variables from the role of ergonomic (perceived usefulness, ease of use, playfulness and aesthetics) and social psychological (social norms and perceived critical mass) facets on estimates of the fashion technology acceptance.
A structural equation modeling approach was used to examine 10 hypotheses in the proposed model. The results indicated that usefulness, playfulness and aesthetics from the ergonomic facet and critical mass from the social psychological perspective positively contributed to the users’ intent to adopt the fashion technology. Furthermore, the perceived ease of use indirectly affects adoptive intentions through perceived usefulness and playfulness. Important implications of these findings are discussed from both theoretical and practical aspects.

以文找文

1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-692.
2. Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275.
3. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
4. Anderson, J.C., & Gerbing, D.W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411-423.
5. Apple. (2010). Apple introduces new iPod touch. Retrieved October 17, 2010, from http://www.apple.com/pr/library/2010/09/01ipodtouch.html
6. Atkinson, M.A., & Kydd, C. (1997). Individual characteristics associated with World Wide Web use: An empirical study of playfulness and motivation. ACM SIGMIS Database, 28(2), 53-62.
7. Barnett, L.A. (1990). Playfulness: Definition, design, and measurement. Play and Culture, 3(4), 319-336.
8. Bearden, W.O., & Etzel, M.J. (1982). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9, 183-194.
9. Bentler, P.M., & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588-606.
10. Berlyne, D.E. (1971). Aesthetics and psychobiology. New York: Meredith Corporation.
11. Bloch, P.H. (1995). Seeking the ideal form: product design and consumer response. The Journal of Marketing, 59, 16-29.
12. Brynjolfsson, E., & Kemerer, C.F. (1996). Network externalities in microcomputer software: An econometric analysis of the spreadsheet market. Management Science, 42(12), 1627–1647.
13. Bock, G., Zmud, R.W., & Kim, Y. (2005). Behavioral intention in knowledge sharing: Examining the roles of extrinsic motivators, social psychological forces, and organizational climate. MIS Quarterly, 29(1), 87–111.
14. Carayon-Sainfort, P. (1992). The use of computers in offices: Impact on task characteristics and worker stress. International Journal of Human-Computer Interaction, 4(3), 245-261.
15. Castañeda, J.A., Muñoz-Leiva, F., & Luque, T. (2007). Web acceptance model (WAM): Moderating effects of user experience. Information & Management, 44(4), 384-396.
16. Chass (2005). Structural equation modeling. Retrieved May 30, 2010, from http://www2.chass.ncsu.edu/garson/pa765/structur.htm#sem
17. Chau, P.Y.K. (2001). Influence of computer attitude and self-efficacy on IT usage behavior. Journal of End User Computing, 13(1), 26-33.
18. Chen, J.V., Yen, D.C., & Chen K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information & Management, 46(4), 241-248.
19. Childers, T.L., & Rao, A.R. (1992). The influence of familial and peer-based reference groups on consumer decisions. Journal of Consumer Research, 198-211.
20. Childers, T.L., Carr, C.L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535.
21. Churchill, G.A.A. (1979). Paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(3), 64-73.
22. Chun, S.Y., & Hahn, M. (2007). Network externality and future usage of Internet services. Internet Research, 17(2), 156-168.
23. Cohen, P. (2006). Study: iPod dominance unthreatened for 18 months. Retrieved April 18, 2009, from http://www.macworld.com/article/53561/2006/10/dominance. html
24. Creusen, M.E.H., & Schoormans, J.P.L. (2005). The different roles of product appearance in consumer choice. Journal of Product Innovation Management, 22(1), 63-81.
25. Cyr, D., Bonanni, C., Bowes, J., & Ilsever, J. (2005). Beyond trust: Web site design preferences across cultures. Journal of Global Information Management, 13(4), 25-54.
26. Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information & Management, 43(8), 950-963.
27. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
28. 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.
29. Davis, F.D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human–Computer Studies, 45(1), 19–45.
30. Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems, 17(1), 4-11.
31. Fang, X., Chan, S., Brzezinski, J., & Xu, S. (2006). Moderating effects of task type on wireless technology acceptance. Journal of Management Information Systems, 22(3), 123-157.
32. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. MA: Addison-Wesley.
33. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
34. Ha, I., Yoon, Y., & Choi, M. (2007). Determinants of adoption of mobile games under mobile broadband wireless access environment. Information & Management, 44(3), 276-286.
35. Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate data analysis: Prentice-Hall, Inc. Upper Saddle River, NJ, USA.
36. Hassenzahl, M. (2004). The interplay of beauty, goodness, and usability in interactive products. Human-Computer Interaction, 19(4), 319-349.
37. Hassenzahl, M., Burmester, M., & Koller, F. (2003). AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualitat. Paper presented at the Mensch & Computer 2003: Interaktion in Bewegung.
38. Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling: SAS Institute Inc., Cary, NC, USA.
39. Herrero Crespo, Á., & Rodríguez Del Bosque Rodríguez, I.A. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847.
40. Herrero Crespo, Á., & Rodríguez Del Bosque Rodríguez, I.A. (2008). Explaining B2C e-commerce acceptance: An integrative model based on the framework by Gatignon and Robertson. Interacting with Computers, 20(2), 212-224.
41. Hong, S.J., & Tam, K.Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information Systems Research, 17(2), 162-179.
42. Hong, W., Thong, Y.L.J., Wong, W.M., & Tam, K.Y. (2002). Determinants of user acceptance of digital libraries: An empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18(3), 97-124.
43. Horton, R.P., Buck, T., Waterson, P.E., & Clegg, C.W. (2001). Explaining intranet use with the technology acceptance model. Journal of information technology, 16(4), 237-249.
44. Hsu, C.L., & Lin, J.C.C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74.
45. Hsu, C.L., & Lu, H.P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.
46. Hsu, C.L., & Lu, H.P. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642-1659.
47. Hsu, M.-H., & Chiu, C.-M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381.
48. Hu, P.J., Chau, P.Y.K., 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.
49. Igbaria, M., Parasuraman, S., & Baroudi, J.J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13(1), 127-143.
50. Jeyaraj, A., Rottman, J.W., & Lacity, M.C. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of information technology, 21(1), 1-23.
51. Jordan, P.W. (1998). Human factors for pleasure in product use. Applied Ergonomics, 29(1), 25-33.
52. Karvonen, K. (2000). The beauty of simplicity. Proceedings on the 2000 conference on Universal Usability, 85-90.
53. Katz, M.L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American economic review, 75(3), 424-440.
54. Katz, M.L., & Shapiro, C. (1986). Technology adoption in the presence of network externalities. The Journal of Political Economy, 94(4), 822-841.
55. Kim, K. (1998). Philosophical discussion on the science of emotion and sensibility. The Korean Society for Emotion and Sensibility, 1(1), 3–11.
56. Kline, R.B. (2005). Principles and practice of structural equation modeling (2nd. ed ed.): New York: The Guilford Press.
57. Lavie, T., & Tractinsky, N. (2004). Assessing dimensions of perceived visual aesthetics of web sites. International Journal of Human-Computer Studies, 60(3), 269-298.
58. Lee, D., Rhee, Y., & Dunham, R.B. (2009). The role of organizational and individual characteristics in technology acceptance. International Journal of Human-Computer Interaction, 25(7), 623-646.
59. Lee, J.J. (2007). Newly-appointed president of samsung (Taiwan), Announced aggressive plans regarding mobile phones and MP3 players sectors for Taiwan's market. Retrieved April 23, 2009, from http://cti.acesuppliers.com/news/ new_1_10.html
60. Lee, K.C., Kang, I., & Kim, J.S. (2007). Exploring the user interface of negotiation support systems from the user acceptance perspective. Computers in Human Behavior, 23(1), 220-239.
61. Lieberman, J.N. (1977). Playfulness: Its relationship to imagination and creativity. New York: Academic Press.
62. Lin, C., Shih, H., & Sher, P.J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology & Marketing, 24(7), 641–657.
63. Lin, C.-P., & Bhattacherjee, A. (2007). Extending technolgy usage models to interactive hedonic technologies: A theoretical model and empirical test. Information Systems Journal, 20(2), 163-181. new window

64. Lin, C.-P., & Bhattacherjee, A. (2008) Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85-108.
65. Lin, C.S., Wu, S., & Tsai, R.J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683-693.
66. Lin, J.C.-C., & Lu, H.P. (2000). Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management, 20(3), 197-208.
67. Lindgaard, G., & Dudek, C. (2003). What is this evasive beast we call user satisfaction? Interacting with Computers, 15(3), 429-452.
68. Liu, C., & Arnett, K.P. (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38(1), 23-33.
69. Liu, X., & Wei, K.K. (2003). An empirical study of product differences in consumers’ E-commerce adoption behavior. Electronic Commerce Research and Applications, 2(3), 229-239.
70. Lo´ pez-Nicola´ s, C., Molina-Castillo, F.J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45(6), 359-364.
71. Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 9(2), 91-103.
72. Lu, H.P., & Hsiao, K.L. (2009). Gender differences in reasons for frequent blog posting. Online Information Review, 33(1), 135-156.
73. Lucas, H.C., & Spitler, V.K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291-311.
74. Mahler, A., & Rogers, E.M. (1999). The diffusion of interactive communication innovations and the critical mass: The adoption of telecommunications services by German banks. Telecommunications Policy, 23(10-11), 719-740.
75. Martocchio, J.J., & Webster, J. (1992). Effects of feedback and cognitive playfulness on performance in microcomputer software training. Personnel Pyschology, 45(3), 553-578.
76. Moon, J.W., & Kim, Y.G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
77. Nisbet, S.L. (2006). Modelling consumer intention to use gambling technologies: An innovative approach. Behaviour & Information Technology, 25(3), 221-231.
78. Nunnally, J.C. (1967). Psychometric theory. New York: McGraw-Hill.
79. Ong, C.S., & Lai, J.Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816-829.
80. Pae, J.H., & Hyun, J.S. (2002). The impact of technology advancement strategies on consumers’ patronage decisions. Journal of Product Innovation Management, 19(5), 375-383
81. Park, Y., & Chen, J.V. (2007). Acceptance and adoption of the innovative use of smartphone. Industrial Management & Data Systems, 107(9), 1349-1365.
82. Park, S., Choi, D., & Kim, J. (2004). Critical factors for the aesthetic fidelity of web pages: Empirical studies with professional web designers and users. Interacting with Computers, 16(2), 351-376.
83. Pedhazur, E.J., & Schmelkin, L.P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum Associates.
84. Pettit, F.A. (2002). A comparison of World-Wide Web and paper-and-pencil personality questionnaires. Behavior Research Methods, Instruments, & Computers, 34(1), 50-54.
85. Premkumar, G., Ramamurthy, K., & Liu, H.N. (2008). Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems. Information & Management, 45(7), 451-457.
86. Rogers, E.M. (1983). Diffusion of innovations. New York: Free Press.
87. Rogers, E.M. (1995). Diffusion of innovations. New York: Free Press.
88. Schenkman, B.N., & Jonsson, F.U. (2000). Aesthetics and preferences of web pages. Behaviour & Information Technology, 19(5), 367-377.
89. Scott, J.E. (1995). The measurement of information systems effectiveness: Evaluating a measuring instrument. ACM SIGMIS Database, 26(1), 43-61.
90. Shang, R.A., Chen, Y.C., & Shen, L. (2005). Extrinsic versus intrinsic motivations for consumers to shop on-line. Information & Management, 42(3), 401-413.
91. Shapiro, C., & Varian, H.R. (1999). Information rules: A strategic guide to the network economy. Boston, MA: Harvard Business School Press.
92. Shin, D.H. (2009). Determinants of customer acceptance of multi-service network: An implication for IP-based technologies. Information & Management, 46(1), 16-22.
93. Snyder, C.R. (1992). Product scarcity by need for uniqueness interaction: A consumer catch-22 carousel? Basic and Applied Social Psychology, 13(1), 9-24.
94. Song, J., & Wladen, E. (2007). How consumer perceptions of network size and social interactions influence the intention to adopt peer-to-peer technologies. International Journal of E-Business Research, 3(4), 49-66.
95. Strader, T.J., Ramaswami, S.N., & Houle, P.A. (2007). Perceived network externalities and communication technology acceptance. European Journal of Information Systems, 16(1), 54-65.
96. Sun, H., & Zhang, P. (2006). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems, 7(9), 618-645.
97. Tarasewich, P. (2003). Designing mobile commerce applications. Communications of the ACM, 46(12), 57-60.
98. 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.
99. Tractinsky, N., Cokhavi, A., Kirschenbaum, M., & Sharfi, T. (2006). Evaluating the consistency of immediate aesthetic perceptions of web pages. International Journal of Human-Computer Studies, 64(11), 1071-1083.
100. Tucker, L.R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1-10.
101. 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.
102. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
103. Van Slyke, C., Ilie, V., Lou, H., & Stafford, T. (2007). Perceived critical mass and the adoption of a communication technology. European Journal of Information Systems, 16(3), 270-283.
104. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
105. Venkatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test*. Decision Sciences, 27(3), 451-481. new window

106. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
107. Venkatesh, V., & Morris, M.G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115-139.
108. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
109. Wang, C.-C., Lo, S.-K., Fang, W.C. (2008). Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities. Journal of Consumer Behaviour, 7(2), 101-110.
110. Webster, J., & Martocchio, J.J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly, 16(2), 201-226.
111. Weisbein, J. (2008). The iPod Success: Thank the marketing department. Retrieved April 18, 2009, from http://www.besttechie.net/2008/03/01/the-ipod-success-thank- the-marketing-department/
112. Wixom, B.H., & Todd, P.A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85.
113. Yamamoto, M., & Lambert, D.R. (1994). The impact of product aesthetics on the evaluation of industrial products. Journal of Product Innovation Management, 11(4), 309-324.
114. Yang, X., Li, Y., Tan, C.-H., & Teo, H.-H. (2007). Students’ participation intention in an online discussion forum: Why is computer-mediated interaction attractive? Information & Management, 44(5), 456-466.
115. Yi, M.Y., Jackson, J.D., Park, J.S., & Probst, J.C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350-363.
116. Zimbardo, P., & Leippe, M. (1991). The Psychology of Attitude Change and Social Influence: McGraw-Hill.

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