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題名:從社交網路及沉浸觀點探討手機依賴之研究
作者:陳清江 引用關係
作者(外文):CHING-CHIANG CHEN
校院名稱:國立雲林科技大學
系所名稱:資訊管理系博士班
指導教授:施東河
學位類別:博士
出版日期:2013
主題關鍵詞:手機依賴行為控制認知沉浸社交網路計畫行為理論Social NetworkTheory of Planned BehaviorImmersePerceived Behavioral ControlMobile Phone Dependence
原始連結:連回原系統網址new window
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資訊科技時代的來臨,大量資源於資訊科技開發與Web2.0互動環境讓使用者易於操作的同時,也面臨了人們使用行為之問題,本論文主要探討手機使用者面對新的科技及新事務使用時的態度與行為。另一方面,在未來如何確保使用者在持續使用下,是否會產生依賴問題是一個值得研究的議題。從文獻資料顯示,沉浸理論對於個人在網路上的行為會產生一定的影響。然而,對於手機使用族群,沉浸與計畫行為理論架構對於使用者在社交網路上的行為,以及在持續使用上會不會影響個人使用手機的依賴行為,都是我們研究的重點。
本研究採用AMOS 16.0軟體進行結構方程模式分析,研究結果顯示,社交網路構面之社群認同、與主觀規範對手機使用意願均獲顯著影響,而社交性與互動性對使用態度未顯著影響,且態度對手機使用意願、與手機使用意願對依賴等構面均也未獲得顯著影響;在沈浸構面之經驗對態度、享受對自我效能、經驗對自我效能、集中度對科技有利條件、經驗對科技有利條件、集中度對資源有利條件、與經驗對資源有利條件等構面均獲顯著影響,且自我效能、科技有利條件、與資源有利條件等三構面對行為控制認知構面有顯著影響,行為控制認知構面也對手機使用意願與手機依賴等構面有顯著影響,而享受對科技有利條件與資源有利條件未顯著影響。
本研究結果將貢獻學術界進行延伸社交網路與行動設備相關研究議題之參考,也提供實務界從事社交網站經營與手機社交服務功能與設計之參考。
Recently, the advent of the era of information technology, a lot of resources in information technology development and Web2.0 interactive environment allow users easy to operate, but we are also fact the user who has the deviant behavior problem. In this study, we focus on the mobile phone users when facing the new technology that attitude and behavior.
On the other hand, how to ensure that in the future under the user continues to using mobil phone and whether they have a dependency problem is a topic worthy to study. From the literature, we found, the flow theory for the behavior of the individuals on the Internet will have some impact. However, for the mobile phone users, the flow theory and the TPB framework for the behavior of users on the social network, as well as the continued use of mobile phone will impact the mobile phone dependence behavior is the focus of our research. In this study, we provide questionnaires and explore the TPB with the dependence relationship. The materials are analyzed by software AMOS 16.0. The result concluded that the social networking aspects of community identity, and subjective norms were having a significant affection with the cell phone use willingness. But the sociability and interaction did not have a significant affection with attitudes. Meanwhile, the attitude did not have a significant affection with use willingness, and the use willingness did not have a significant affection with Mobile Phone Dependence.
The results will contribute to academia extended social networks and mobile devices reference for related research issues, and also provide practitioners engaged in social website operators and mobile social service function and design reference
1.Ajzen, I. (1974). Effects of information on interpersonal attraction: Similarity versus affective value. Journal of Personality and Social Psychology, 29, 374.380.
2.Ajzen, I. (1980). Understanding events affect &; the construction of social action theise. Contemporary Psychology, 25(10), 775-776.
3.Ajzen, I. (1981). Message attitude behavior relationship theory, methodology &; application Cushman, mcphee. Contemporary Psychology, 26(12), 964-966.
4.Ajzen, I. (1985). From Intentions to Actions: A theory of Planned Behavior. J. Kuhl &; J. Bechmannn (Eds.), Action Control: From Cognition to Behavior, Springer, Heidelberg, pp.11-39.
5.Ajzen, I. &; T. J. Madden. (1986). Prediction of Goal-Directed Behaveior: Attitudes, Intentions, &; Perceived Behaveioral Control, Journal of Experimental Social Psychology, vol.22, 453-474.
6.Ajzen, I. (1987a). Attitudes, traits, &; actions dispositional prediction of behavior in personality &; social psychology. Advances in Experimental Social Psychology, 20, 1-63.
7.Ajzen, I. (1987b). Communication &; persuasion - central &; peripheral routes to Attitude change &; Contemporary Psychology, 32(12).
8.Ajzen, I., (1988). Attitudes, Personality, &; Behavior: Dorsey Press.
9.Ajzen, I. (1989). Attitude Structure &; Behavior, In A.Pratkans, A.R., Breckler, S.J., &; Greenwald, A.G. (eds). Attitude Structure &; Function .Hillsdale, N.J, Erlbaum &; Associates, pp.252
10.Ajzen, I. (1991). The theory of planned behavior, Organizational Behavior &; Human Decision Processes, 50(2), 179-211.
11.Armstrong, A. G., &; Hagel III, J. (1997). Net gain: Expanding markets through virtual communities, McKinsey &; Company.
12.Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, &; the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683.
13.Ajzen, I. &; Fishbein, M. (2005). The influence of attitudes on behaviour. In D. Albarracin, B. T. Johnson, &; M. P. Zanna (Eds.), The handbook of attitudes (pp. 173–221). Mahwah, NJ, USA: Lawrence Erlbaum.
14.Bentler, P. M. &; Bonett, D. G. (1980). Significance Tests &; Goodness-of-Fit in the Analysis of Covariance Structures. Psychological Bulletin, 88, 588-600.
15.Bandura, A. (1989). Regulation of cognitive processes through perceived self-efficacy. Development Psychology, 25(5), 729-735.
16.Bitner, M. J., Faranda, W. T., Hubbert, A. R., &; Zeithaml, V. A. (1997).
Customer contributions and roles in service delivery. International Journal of Service Industry Management, 8(3), 193-205.
17.Baym, N.(1998). The emergence of on-line community. In S. Jones(Ed), Cyberspace2.0: Revisiting computer-mediated communication &; community.(pp. 35-68). London: Sage Publications.
18.Bagozzi, R. P., &; Dholakia, U. M. (2006). Open source software user communities: A study of participation in linux user groups. Management Science, 52(7), 1099-1115.
19.Bagozzi, R. P., and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
20.Boyd, d., &; Ellison, N. (2007), Social network sites: Definition, history, &; scholarship, Journal of Computer-Mediated Communication.
21.Bhattacherjee, A., and Premkumar, G.(2004). Understanding Changes in Belief and Attitude toward Information Technology Usage: A Theoretical Model and Longitudinal Test, MIS Quarterly, 28(2), 229-254.
22.Compeau, D. R., &; Higgins, C. A. (1995). Computer self-efficacy: Development of a measure &; initial test. MIS Quarterly, 19(2), 189-211.new window
23.Compeau, D., Higgins, C.A. &; Huff, S. (1999). Social Cognitive Theory &; Individual Reactions to Computing Technology: A Longitudinal Study, MIS Quarterly, 23(2), 145-158.
24.Christina M. Finneran &; Ping Zhang.(2005). Flow in computer-mediated enviroments: promises &; challengs. Communications of the Association for Information Systems, Volume 15, 2005, 82-101
25.Csikszentmihalyi, M.(1975).Beyond boredom and anxiety. San Francisco:Jossey-Bass.
26.Csikszentmihalyi, Mihaly. (1990). Flow: The Psychology of Optimal Experience. New York: HarperCollins.
27.Csikszentmihalyi, M.&Csikszentmihalyi, I.(1988).Itroduction to part IV.In M.Csikszentmihalyi&I.S. Csikszentmihalyi (Eds.), Optimal experience:Psychological studies of flow in consciousness.New York:Cambridge University Press.
28.Christopher Allen, “Tracing the Evolution of Social Software” http://www.lifewithalacrity.com/2004/10/tracing_the_evo.html (Retrieved Oct. 15, 2005)
29.Deighton J. (1996). The future of interactive marketing. Harvard Business Review, 74(6), 151-160.
30.Donath, J. &; boyd, d.(2004), Public displays of connection, BT Technology Journal, 22 (4), 71-82.
31.Ducheneaut, Communications of the Association for Information Systems (Volume 15, 2005) 82-101art (Eds.), Proceedings of the Other Players conference. Copenhagen: IT University of Copenhagen.
32.Davis, F. D., “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology” MIS Quarterly 13(3), 1989, pp. 319-340
33.Fishbein, M. &; I. Ajzen (1975). Belief, Attitude, Intention &; Behavior: An Introduction to Theory &; Research, Addison-Wesley, Boston, MA.
34.Fornell &; Larcker (1981). Structural equation models with unobservable variables &; measurement errors, Journal of Marketing Research, 18(2), 39-50.
35.Fernback, J. (1999). There is a there: Notes toward a definition of cybercommunity. Doing internet research: Critical issues &; methods for examining the net. London: Sage, 203-241.
36.Fernback, J.(2007). Beyond the diluted community concept: a symbolic interactionist perspective on online social relations. New Media &; Society, 9(1), 49-69.
37.Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. Human Relations, 16, 233-240.
38.Fishbein, M. (1967). Attitude and the prediction of behavior. In Martin Fishbein (Eds.), Readings in attitude theory and measurement, 477-492.New York: Wiley.
39.Guieford, J. P. (1965). Fundamental statistics in psychology &; education(4th ed.). NewYork: McGraw-Hill.
40.Hair, J. F., Anderson, R. E., Tatham, R. L., &; Black, W. C. (1998). Multivariate data analysis (5th ed.). Englewood Cliffs, New Jersey: Prentice-Hall.
41.Hsu, C. L. &; Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences &; flow experience, Information &; Management, 41(7), 853-868.
42.Hausman, A. V., Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5-13.
43.Hwang J., Yoon Y. S., Park N. H. (2011). Structural effects of cognitive &; affective reponses to web advertisements, website &; brand attitudes &; purchase intentions: The case of casual-dining restaurants. International Journal of Hospitality Management, 30, 897-907.
44.Hoffman, D. L., and Novak, T. P., “Marketing in Hypermedia Computer-mediated Environments: Conceptual Foundations”Journal of Marketing 60(3), 1996, pp. 50-69.
45.Herr, Paul M., Steven J. Sherman, &; Russell H. Fazio (1983). On the consequences of priming: Assimilation and contrast effects. Journal of Experimental Social Psychology, 19, 323-340.
46.Hoffman, L. D., Novak, P. T., and Duhachek, A., “The Influence of Goal-directed and Experiential Activities on Online Flow Experiences” Journal of Consumer Psychology 13(1/2), 2003, pp. 3-16.
47.Igbaria, M., Zinatelli, N., Cragg, P., &; Cavaye, A.L.M.(1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305.
48.Johnson, R. D., &; Marakas, G. M. (2000). The role of behavioral modeling in computer skills acquisition-toward refinement of the model. Information Systems Research, 11(4), 402-417.
49.Jan. Davidson R. A. Winstock. Areca nut-abuse liability, dependence and public health.. Journal Article of Addiction Biology. 7(1):133-8, 2002.
50.Jiang Z., Chan J., Tan B. C. Y., Chua W.S. (2010), Effects of interactivity on website involvement &; purchase intention. Journal of the Association for Information Systems, 11(1), 34-59.
51.Koufaris, M., “Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior” Information Systems Research 13(2), 2002, pp. 205-223.
52.Kreijns K., Kirschner P. A., Jochems W., Buuren H. (2007). Measuring perceived sociability of computer-supported collaborative learning environments. Computers &; Education, 49(2), 176-192.
53.Kyle, G. T., Graefe, A. R., Manning, R. and Bacon, J. (2004a) Predictors of behavioral loyalty among hikers along the Appalachian Trail, Leisure Science, 26 (1): 99-118.
54.Kaplan, A., Haenlein, M. (2010). Users of the world, unite! The challenges &; opportunities of Social Media. Business Horizons, 53(1), 59–68.
55.Laffey, J., Lin, G., &; Lin, Y. (2006). Assessing social ability in online learning environments. Journal of Interactive Learning Research, 17 (2), 163-177.
56.Lin H. F. (2008). Determinants of successful virtual communities: Contributions from system characteristics &; social factors. Information &; Management, 45, p.522–527.
57.Luis V. Casal&;oacute;, Carlos Flavi&;aacute;n, Miguel Guinal&;iacute;u(2011). Understanding the intention to follow the advice obtained in an online travel community. Computers in Human Behavior, 27, 622-633
58.Lu H. P., Hsiao K.L. (2010) The influence of extro/introversion on the intention to pay for social networking sites. Information &; Management, 47, 150–157.
59.Lu Y., Zhao L., Wang B. (2010). From virtual community members to C2C e-commerce buyers: Trust in virtual communities &; its effect on consumers’ purchase intention. Electronic Commerce Research &; Applications, 9, 346–360.
60.Lee Y., Kozar K. A. (2012). Understanding of website usability: Specifying &; measuring constructs &; their relationships. Decision Support Systems, 52(1), 450-463.
61.Lee, C. &; Green, R. T. (1991). Cross-cultural examination of the fishbein behavioral intentions model. Journal of International Business Studies, 289-305.
62.Mathieson, K.(1991), Predicting User Intention: Comparing the Technology Acceptance Model with Theory of Planned Behavior, Information Systems Research, Vol.2, No.3, pp.173-191.
63.Marios Koufaris(2002) "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior" Information Systems Research Vol.13, No. 2 66.
64.Moore K., McElroy J. C. (2012). The influence of personality on Facebook usage, wall postings, and regret. Computers in Human Behavior, 28(1), 267-274.
65.Novak, T. P., Hoffman, D. L., and Yung, Y. F. (2000). Measuring the Customer Experience in Online Environments: A Structural Modeling Approach, Marketing Science 19(1), pp.22-42.
66.Oliver, R. L. (1980), “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions” Journal of Marketing Research, 17(4), 460-69.
67.Paia P. Y. &; Tsai H. T. (2011). How virtual community participation influences consumer loyalty intentions:in online shopping contexts: an investigation of mediating factors. Behaviour &; Information Technology, 1-13.
68.Pavlou, P. A., and Fygenson, M. (2006). Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior, MIS Quarterly 30(1), pp. 115-143.
69.Phang C. W., Kankanhalli A., Sabherwal R. (2009). Usability &; Sociability in Online Communities: A Comparative Study of Knowledge Seeking &; Contribution. Journal of the association for information systems, 10(10), 721-741.
70.Paul Harvey &; Jeremy Lind.(2005) Dependency and humanitarian relief: a critical analysis. Humanitarian Policy Group.
71.Preece, J. (2001). Sociability and usability in online communities: determining and measuring success, Behaviour and Information Technology, 20(5), 347-356
72.Preece, J. (2000). Online communities: Designing usability and supporting sociability. New York, NY, USA: John Wiley and Sons Inc.
73.Park, S. Y.(2009), An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational technology &; society, 12 (3), 150–162.
74.Payne TJ. Smith PO. McCracken LM. McSherry WC. Antony MM. (1994). Assessing nicotine dependence: a comparison of the Fagerstrom Tolerance Questionnaire (FTQ) with the Fagerstrom Test for Nicotine Dependence (FTND) in a clinical sample. [Journal Article] Addictive Behaviors. 19(3):307-17.
75.Rheingold, H. (1993). Virtual community: Homesteading on the electronic frontier. New York: Addison-Wesley.
76.Rheingold, H.(1993). The virtual community: Homesteading on the electronic frontier. Reading, Mass.: Addison-Wesley Pub. Co.
77.Segars, A. H., &; Grover, V. (1993). Re-Examining Perceived Ease of Use &; Usefulness: A Confirmatory Factor Analysis, MIS Quarterly, 17, pp. 517~525.
78.Shen K. N., Khalifa M. (2010). Explaining Virtual Community Participation: Accounting for the IT Artifacts through Identification &; Identity Confirmation. European Conference on Information Systems (ECIS) 2010 Proceedings, p.87.
79.Schunk, D. H., Pintrich, P. R., &; Meece, J. L. (Eds.). (2008). Motivation in education: Th eory, research, &; applications (3rd ed.). Upper Saddle River, NJ: Merril Prentice Hall.
80.Simmel, G., &; Hughes, E.(1949). The sociology of sociability. American Journal of Sociology, 55(3), 254-261.
81.Sang, S., Lee, J. D. and Lee, J. (2010). E-government adoption in cambodia: A partial least squares approach. Transforming Government: People, Process, and Policy, 4(2), 138-157.
82.Sherman, S. J., &; Fazio, R. H. (1983). Parallels between attitudes and traits as predictors of behavior. Journal of Personality, 51, 308.345
83.Shernoff, D. J., Csikszentmihalyi, M., Schneider, B., &; Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of fl ow theory. School Psychology Quarterly, pp. 158–176.
84.Taylor, S. &; Todd, P.A. (1995b). Understanding information technology usage: A test of competing models, Information Systems Research (6:2), pp. 144-17623.new window
85.Tsai, H. T., Huang, H. C., Chiu, Y. L. (2011). Brand community participation in Taiwan: Examining the roles of individual, group, &; relationship-level antecedents Original Research ArticleJournal of Business Research, Article In Press.
86.Tajfel, H. (1978). Social categorization social identity and social comparison. In H. Tajfel (Ed.), Differentiation between social groups, Studies in the social psychology of intergroup relations(pp.61-76). London: Academic Press
87.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), pp. 425-478.
88.Venkatesh, V., &; Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development &; Test, Decision Sciences (27:3), pp. 451-482.
89.Winstock, C. R. Trivedy et al., (2000). A dependency syndrome related to areca nutuse: some medical and psychological aspects among areca nut users in the Gujarat community in the UK. Addiction Biology.5, 173-179.
90.Wellman, B. (2001). Physical place &; cyberplace: the rise of networked individualism. In Keeble. L. &; Loader, B.D. (eds). Community Informatics: Shaping Computer-Mediated Social Relations. London: Routledge.
91.Wenger, E., McDermott, R., &; Snyder, W. M. (2002). Cultivating communities of practice: A guide to managing knowledge. Boston, MA: Harvard Business School Press.
92.Webster, J., Trevino, L. K., &; Ryan, L. (1993).The dimensionality and correlates of Flow in human computer interactions. Computers in Human Behavior, 9(4), 411-426.
93.Young, K. S. (1996). Psychology of computer use: XL. Addictive use of the internet: A case that breaks the stereotype. Psychological Reports, Vol. 79, pp. 899-902.
94. Young, K. S. (2002). “Internet addiction: the emergence of a new clinical disorder,” available at: http://www.netaddiction.com/articles/newdisorder.htm.
95.Zaltman, G., &; Burger P. C. (1975). Marketing research: Fundamentals &; Dynamics. Stanford: International Thomson Publishing.
 
 
 
 
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