學術產出-學位論文
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題名 社會化臨場感對行動服務採用行為之影響
The impact of social presence on the adoption behavior of mobile services作者 許媖媖
Hsui, Dorothy貢獻者 賴士葆
許媖媖
Hsui, Dorothy關鍵詞 社會化臨場感
行動服務
Social Presence
TAM
Mobile Services
Image
Society`s Influences日期 2009 上傳時間 8-十二月-2010 01:52:09 (UTC+8) 摘要 In this study the technology acceptance model (TAM) serves as the foundation to analyze the behavior of consumers with regards to their use of the smartphone and its associated services. The research also aims to provide a basis for companies that need a complete theoretical framework to better understand the behavior of consumers using smartphones and related services under the intensely competitive environment and constantly evolving changes in consumer demand. The extensive version of TAM will assist in analyzing consumer behavior and influences affecting the use of smartphones, which will be validated through the empirical data collected. This research utilizes one questionnaire to conduct investigations pertaining to the study. Questionnaires were distributed to consumers that use mobile services and/or applications. The majority of the questionnaires were filled out by students in college and graduate institutions in Taipei, Taiwan. In addition, a majority of the subjects who participated have already purchased smartphones. A total of 500 questionnaires were distributed and 266 were returned, making a 53.2 % return rate.Results retrieved from this study are as follows:1. When a user experiences deeper social presence, higher subjective norms are created by the application.2. When a user experiences deeper social presence, perceived usefulness of the application increases.3. When a user experiences deeper social presence, perceived ease of use of the application fluctuates. 4. The higher the application’s subjective norms are, the more significant is the increase of the user’s image.5. The higher the application’s subjective norms are, the more significant is the increase of perceived usefulness 6. As the user’s perceived ease of use of the application increases, the greater the influence becomes on perceived usefulness.7. The higher the application’s subjective norm is, the more the user’s behavioral intention to use increases.8. As the application’s perceived usefulness increases, the user’s behavioral intention to use the application also increases.9. As the user’s perceived ease of use for the application increases, the greater the influence on behavioral intention to use becomes. Undoubtedly, companies need to understand consumer behavior and their use of the smartphones. Consequently, this study seeks to use theories from TAM as a basis and consider principles of external factors influencing a consumer-----social presence and society’s influences. The components of TAM, social presence and society’s influences are analyzed to compile this research. 參考文獻 Adams, D. A., Nelson, R. R., and Todd, P.A. (1992), “Perceived usefulness, ease of use, and usage of information technology: A replication,” MIS Quarterly, 16(2), 227-248.
Agarwal, R. and J. Prasad (1999). “Are individual differences germane to the acceptance of new information technologies,” Decision Sciences, 30(2), 361-391.
Ajzen, I. (1985), “From Intention To Actions: A Theory Of Planned Behavior,” In Kuhl , J., and Beckmann, J (Eds.), Action control: From cognition to behavior. Heidelberg: Springer.
Anderson, J. and David W. Gerbing, (1988), “Structural equation modeling in practice: A review and recommended two step approach,” Psychological Bulletin, 103 (3), 411-423.
Anderson, K. E.(1999), “Internet use among college student: An exploratory study,” Retrieved June 20, 2009 from http://www.rpi.cde/~anderk4/research.html
Anderson, T., Rourke, L., Garrison, D. R., & Archer, W. (2001).
“Assessing teaching presence ina computer conferencing context.” Journal of Asynchronous Learning Networks, 5(2), 1-17.
Argyle, M., &Dean, J. (1965). “Eye contact, distance, and affiliation”. Sociometry, 28, 289-304.
Atkinson M., and Kydd, C. (1997), “Individual characteristics associated with World-Wide-Web use: an empirical study of playfulness and motivation,” The Data Base for Advances in Information Systems, 28(2), 53-62.
Bagozzi, R.P., and Youjae, Yi, (1988), “On the evaluation for structural equation models,” Journal of Management Review, 27,17-40.
Baker, J. (1987), “The Role of Environment in Marketing Services: The Consumer Perspectives,” in J. A., Czepiel, C. A., Congram, and J. Shanahan, (Eds.), Service Chanllenge: Integrating for Competitive Advantage, Chicago: American Marketing Association, 79-84.
Ballantine, P. and Martin, B. (2004), Parasocial Interaction Relationships In Online Communities, In ANZMAC 2004 Conference Programme, Internet Mktng, CRM and E-Com, New Zealand.
Bandura, A. (1982). “Self-efficacy mechanism in human agency,” American Psychologist, 37, pp.122-147.
Barnett, L. A. (2007), “The nature of playfulness in young adults,” Personality and Individual Differences, 43(4), 949-958.
Barnett, L.A. (1991), “The playful child: measurement of a disposition to play,” Play and Culture, 4(1), 51-74.
Bhattacherjee, A. (2002). "Individual Trust in Online Firms: Scale Development and Initial Test,"Journal of Management Information Systems (19) 1, pp. 211-241.
Bitner, M. J., Booms, B. H. and Tetreault M. S. (1990), “The Service Encounter: Diagnosing Favorable and Unfavorable Incidents,” Journal of Marketing, 54, January, 71-84.
Bitner, M. J., S. W., Brown, and M. L., Meuter (2000), “Technology Infusion in Service Encounters,” Journal of the Academy of Marketing Science, 28(1), 139-149.
Blodgett, J., G., & Donald H. Granbois, and Rockney G., Walters, (1993), “The Effect of Perceived Justice on Negative Word of Mouth and Repatronage Intentions,” Journal of Retailing, 69 (4), 399-428.
Bollen, K.,A. (1989), Structural Equations with Latent Variable. NY:Wiley.
Boomsma, A. (1982), Systems under Indirect Observation: Part I, Amersterdam: North- Holland, pp. 149-173.
Brown, B. and Bell, M. (2004), “CSCW at play: “There” as a collaborative virtual environment,” In Proceedings of CSCW, 350-359.
Buxton, W. (1994), “Human Skills in Interface Design,” in macdonald, L. W. and Vince, J. (Eds.), Interacting with Virtual Environments, New York: Wiley, 1-12.
Carrol, J., M., and Thomas, J., C. (1998), Fun, SIGGHI Bulletin.
Chan, S. C. and Lu, M. T. (2004), “Understanding internet banking adoption and use behavior: a Hong Kong perspective,” Journal of Global Information Management, 12(3), 21-43.
Chandon, J.-L., P.-Y., Leo, and Philippe, J. (1997), “Service Encounter Dimensions-A Dyadic Perspective: Measuring the Dimensions of Service Encounters As Perceived By Customers and Personnel,” International Journal of Service, 8(1), 65-86.
Chung, J. and Tan, F., B. (2004), “Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites,” Information and Management, 41(7), 869-881.
CLSA Asia Pacific Markets. Global Smartphones Sector Outlook. Global Technology. Apr. 20, 2010.
Connell, J.P. (1985), “A new multidimensional measure of children’s perceptions of control,” Child Development, 56, 1018-1041.
Cooper, P. (1969a), Subjective Economics: Factors in a Psychology of Spending, in Pricing Strategy (112-121). Bernard T. and Gordon W., (Eds.) London: Staples Press, Ltd.
Cooper, P. (1969b). The Begrudging Index and the Subjective Value of Money, in Pricing Strategy (122-131). Bernard T., and Gordon W., (Eds.) London: Staples Press, Ltd.
Cowway, J. C. and Rubin, A. M. (1991), “Psychological predictors of television viewing motivation,” Communication Research, 18(4), 443-463.
Csikszentmihalyi, M. (1975), Beyond boredom and anxiety, San Francisco: Jossey-Bass.
Dabholkar, P A. (1996), “Consumer Evaluations of New Technology-Based Self-Service Options: An Investigation of Alternative Models of Service Quality,” International Journal of Research in Marketing, 13, 29-51.
Dabholkar, P. A. and Bagozzi, R. P. (2002), “An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors,” Journal of the Academy of Marketing Science, 30(3), 184-201.
Davis, F. D. (1986). A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory And Results, Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA.
Davis, F. D., Bagozzi, R. P., and Warshaw, P., R. (1989), “User acceptance of computer technology：A comparison of two theoretical models,” Management Science, 35(8), 982-1003.
Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. (1992), “Extrinsic and intrinsic motivation to use computers in the workplace,” Journal of Applied Social Psychology, 22(14), 1111-1132.
DeSanctis, G. (1983), “Expectancy Theory as an Explanation of Voluntary Use of a Decision Support System,” Psychological Reports, 247-260.
Dickson, P. and Alan, S. (1985). "Point of purchase behavior and price perceptions of supermarket shoppers", Marketing Science Institute Working Paper Series.
Dodds, W. B., K. Monroe, and Grewal, D. (1991). “Effects of Price, Brand, and Store Information on Buyers’ Product Evaluation”, Journal of Marketing Research, 28, 307–319.
Dolen, W. M. van, and J. C. de, Ruyter (2002), “Moderated Group Chat: An Empirical Assessment of a New E-Service Encounter,” International Journal of Service Industry management, 13(5), pp. 496-511.
Elgan, Mike. (2007), “Its time we stopped talking about smartphones, it’s a meaningless label is a dumb idea.’ Computerworld.
Eroglu, S. A., and Machleit, K. A. (1993), “Atmospheric factors in the retail environment: sights, sounds and smells,” Advances in Consumer Research, 20(34).
Featherman, M. S. and Pavlou, P. A. (2003), “Predicting e-services adoption: a perceived risk facets perspective,” International Journal of Human-Computer Studies, 59(4), 415-475.
Fishbein, M., and Ajzen, I. (1975), Belief, Attitude, Intentions And Behavior: An Introduction To Theory And Research, Boston: Addison-Wesley.
Fornell, C. and D. F. Larcker. (1981). "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research (18) 1, pp. 39-50.
Garrison, D. and T. Anderson (2003), E-learning in the 21st century. London: Routledge Falmer.
Gefen, D., Karahanna, E. and Straub, D. W. (2003), “Inexperience and experience with online stores: the importance of TAM and trust,” IEEE Transactions on Engineering Management, 503, 307-321.
Gefen, D., D. Straub, and M. C. Boudreau. (2000). "Structural Equation Modeling and
Regression: Guidelines for Research Practice," Communications for the Association of Information Systems (4pp. 1-79.
Gerrig, R. J. (1993), Experiencing Narrative Worlds, New Haven, CT: Yale University Press.
Giles, D. C. (2002), “Parasocial interaction: A review of the literature and a model for future research,” Media Psychology, 4(3), 279-305.
Guiry, M. (1992), “Consumer and employee roles in service encounters,” Advances in Consumer Research, 19, 666-672.
Gunawardena, C. N. (1995). “Social presence theory and implications for interaction and collaborative learning in computer conferences.” International Journal of EducationalTelecommunications, 1(2/3), 147-166.
Gunawardena, C. N., & Zittle, F. J. (1997). “Social presence as a predictor of satisfaction with a computer-mediated conferencing environment.” American Journal of Distance Education,11, 8-26.
Ha, I., Y. Yoon, and M. Choi (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment,” Information and Management, 44(3), 2007, p.276-286.
Hair,J.E., & Roiph E. Anderson & Ronald L. Tatham, and William C. Black (1998), “Multivariate Data Analysis,” N.Y.: Machmillan Publishing Company.
Hawkins, D. I., R. J. Best and Coney, K. A. (2004), Consumer Behavior: Building Marketing Strategy, (9th ed.). Boston: McGraw-Hill Irwin.
Hong, S. J. and K. Y. Tam, (2006). “Understanding the adoption of multipurpose iInformation appliances: the case of mobile data dervices”, Information Systems Research, 17, 2, 162-179.
Hong, W., Thong, J.Y.L., Wong, W.W. and Tam, K.Y. (2002), “Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics.” Journal of Management Information System, 18(3), 97-123.
Horton, D. and Wohl, R. R. (1956), “Mass communication and parasocial interaction,” Psychiatry, 19(3), 215-229.
Hsu, C. L. and H. P. Lu (2004), “Why do people play on-line games? an extended TAM with social influences and flow experience,” Information & Management, 41(7), p.853-868
Hsu, C. L. and H. P. Lu (2007), “Consumer behavior in online game communities: A motivational factor perspective,” Computers in Human Behavior, 23(3), 1642-1659
Hu, L. and P. M. Bentler. (1999). "Cut-Off Criteria for Fit Indexes in Covariance Matrix Analysis: Conventional Criteria versus New Alternatives," Structural Equation Modeling (6) 1, pp. 1-55.
Igbaria, M. (1990), “End-user computing effectiveness: a structural equation model,” Omega, 18(6).
Igbaria, M., and Tan, M. (1997), “The consequence of information technology acceptance subsequent individual performance,” Information and Management, 32, 113-121
Igbaria, M., Iivari, J., and Maragahh, H. (1995), “Why do individuals use computer technology? A Finnish case study,” Information and Management, 29, 227-238.
Igbaria, M., Parasuraman, S., and Baroudi, J., J. (1996), “A motivational model of microcomputer usage,” Journal of Management Information Systems, 13(1), 127-143.
Igbaria, M., Schiffman, S., J. and Wieckowshi, T., S. (1994), “The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology,” Behavior and Information Technology, 13(6), 349-361.
Ivcevic, Z. and Mayer, J. D. (2006-2007), “Creative types and personality,” Imagination Cogitation and Personality, 26(1-2), 65-68, Retrieved May 17, 2007, from ProQuest database.
Jacoby, J. R. and Olson, J. (1977), “Consumer Response to Price: An Attitudinal, Information Processing Perspective” Wind, T., Greenberg, P., (Eds.), Moving Ahead with Attitude Research (73–86). IL, Chicago: American Marketing Association.
Jang, C.-Y. (2006), “Supporting collaborative fighting- A case study of a massively multiplayer online game user community,” Paper presented at the 7th Asia-Pacific Conference on Computer-Human Interaction, Taipei, Taiwan.
Joreskog,K. and D. Sorbom (1993),
Kelman, H. C. (1958), “Complicance, identification, and internalization three processes of attitude change,” The Journal of Conflict Resolution, 251-260.
Keng, C. J. and Lin, H. Y. (2006), “Impact of Telepresence Levels on Internet Advertising Effects,” Cyber Psychology and Behavior, 9(1), pp.82-94.
Kim, T., and Biocca, F. (1997), “Vividness Effects: A Resource-Matching Perspective,” Journal of Consumer Research, 24(Dec), 295-304
Klein, L. R. (1999), Creating Virtual Experiences in the New Media. Unpublished Doctoral Dissertation, Harvard Graduate School of Business Administration.
Koenig, F. and Lessan, G. (1985), “Viewers’ relations to television personalities,” Psychological Reports, 57(1), 263-266.
Koufaris, M. (2002), “Applying the technology acceptance model and flow Theory to online consumer behavior,” Information Systems Research, 13(2), 205-223.
Lederer, A. L., Maupin, D. J., Sena, M. P., and Zhuang, Y. (2000), “The technology acceptance model and the World Wide Web,” Decision support systems, 29, 269-282.
Legris, P., J. Ingham and Collerette, P. (2003), “Why do people use information technology? A critical review of the technology acceptance model,” Information and Management, 40(3), 191-204.
Lepper, M., R. (1985), “Microcomputers in education: motivational and social issues,” American Psychologist, 1-18.
Levy, M. R. (1979), “Watching TV news as para-social interaction,” Journal of Broadcasting, 23(1), 69-80.
Lieberman, J., N. (1977), Playfulness: Its Relationship to Imagination and Creativity, Academic Press, New York,.
Lin, C. S., Wu, S., and Tsai, R., J. (2005), “Integrating perceived playfulness into expectation-confirmation model for web portal context,” Information and Management, 42(5), 683-693.
Lin, J.C.-C. and Lu, H. (2000), “Towards an Understanding of the Behavioral Intention to Use a Web Site,” International Journal of Information Management, 20(3), 197-208.
Lockwood, and Andrew (1994), “Using Service Incidents to Identify Quality Improvement Points,” International Journal of Contemporary Hospitality Management, 6(1-2), 75-80.
Lu, H., Yu, H.-J., and Lu, S. S.K. (2001), “The effects of cognitive style and model type on acceptance: an empirical study,” European Journal of Operational Research, 131, 649-663.
Lucas, H., C. (1978), “Empirical evidence for a descriptive model of implementation,” MIS Quarterly, 2(2), 27-41.
Maish, A., M. (1979),“A user’s behavior towards his MIS,” MIS Quarterly, 31(1), 39-42.
Malone T.W. (1981), “Toward a theory of intrinsically motivating instruction,” Cognitive Science, 4, 333-369.
Mathieson, K.(1991), “Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior”, Information Systems Research, 2, 3, 173-191.
Meuter, M. L., A. L. Ostrom, M. J., Bitner, and R., Robert (2003), “The influence of technology anxiety on consumer use and experiences with self-service technologies,” Journal of Business Research, 56, 899-906.
Meuter, M. L., A. L. Ostrom, R. I. Roundtree, and Bitner, M. J. (2000), “Self-service technologies: understanding customer satisfaction with technology-based service encounters,” Journal of Marketing, 64(July), 50-64.
Meuter, M. L., and Curran, J. M. (2005), “Self-service technology adoption: comparing three technologies,” Journal of Services Marketing, 19 (2), 103-113.
Monroe, K. B. (1979). Pricing: Making Profttable Decisions, New York: McGraw-Hill.
Monroe, K. B. (1990). Pricing: Making Profitable Decisions, (2nd ed.) New York: McGraw-Hill.
Monroe, K. B. and Krishnan, R. (1985), “The effect of price on subjective product evaluations,” J. Jacoby, J. Olson, (Eds.), Perceived Quality, Lexington Books, Lexington, MA, 209–232.
Moon, J., W., and Kim, Y., G. (2001), “Extending the tam for a world-wide-web context,” Information and Management, 38(4), 217-230.
Muthén, B. O. and L. Muthén. (2003). The Comprehensive Modeling Program for AppliedResearchers User Guide. Los Angeles, CA: Muthén & Muthén
Novak, T. P. and Hoffman, D.L. (1997), “Measuring the flow experience among Web users,” Project 2000, Vanderbilt University, Paper Presented at Interval Research Corporation, July 31.
Parasuraman, A., V. A., Zeithaml, and Berry, L. L. (1996), “The behavioral comequences of service quality,” Journal of Marketing, 60, 31-46.
Pavlou, P. A. (2003), “Consumer scceptance of electronic commerce—integrating trust and risk with the technology acceptance model,” International Journal of Electronic Commerce, 73, 69–103.
Perse, E. M. and Rubin, R. B. (1989), “Attribution in social and parasocial relation,” Communication Research, 16(1), 59-77.
Pine II B.J. and Gilmore, J. H. (1998). Welcome to the Experience Economy, Harvard Business Review, July-August, 97-105.
Quinn, J.B. (1996), “The productivity paradox is false: information technology improves service performance,” in T.A., Swartz, D. E., Brown, and Greenwich, (Eds.), Advances in Services Marketing and Management, 5th ed, CT: JAI, 71-84.
Rice, R. (1984). Communication research and technology: The new media. Beverly Hills, CA: sage.
Rice, R., E. and G. Love (1987), “Electronic emotion: Socioemotional content in a computer mediated communication network,” Communication Research, 14, pp.85-108.
Robey, D. (1979), “User attitudes and management information systems use,” Academy of Management Journal, 22(3), 527-538.
Rosengren, K. E. and Windahl, S. (1974), “Mass media consumption as a functional alternative,” McQuail, Denis(Ed.), Sociology of Mass Communications, Harmonds-worth: Penguin.
Rubin, A. M. (2000), “Impact of motivation, attraction and parasocial interaction on talk radio listening,” Journal of Broadcasting and Electronic Media, 44(4), 635-655.
Rubin, A. M., Perse, E. M. and Powell, R. A. (1985), “Loneliness, parasocial interaction, and local television news viewing,” Human Communication Research, 12(2), 155-180.
Rubin, K. H., Fein, G. G., and Vandenberg, B. (1983), Play, In P. H. Mussen and Hetherington, E. M. (Eds.), Carmichael’s Manual of Child Psychology, IV New York: Wiley.
Segars, A. H., & Grover, V. (1993, December), “Re-examining perceived ease of use and usefulness: a confirmatory factor analysis,” MIS Quarterly, 517-525.
Sheridan, T. B. (1986), “Human supervisory control of robot system,” in proceedings of IEEE International conference on Robotics Automation, San Francisco, CA., 808-812.
Short, J., E. Williams and B. Christie (1976), “The Social Psychology and Telecommunications.” London: John Wiley.
Shostack, G. L. (1985), “Planning the service encounter,” in J.A., Czepiel, Solomon, M.R., C.F., Surprenant, and E.G., Gutman, (Eds.), The Service Encounter – Managing Employee/Customer Interaction in Service Businesses, 243–254.
Solomon, M. R., J. A., Czepiel, C. F. Surprenant, E. G. Gutman, (1985), “Service encounter: an overview,” in J. A., Cqepiel, M. R., Solomon, and C. F., Suprenant, (Eds.), the service encounter-management employee/customer interaction in service businesses, NY: Lexington Books, 3-15.
Soukup, C. (2006), “Computer-mediated communication as a virtual third place: building Oldenburg’s great good places on the World Wide Web,” New Media and Society, 8(3), 421-440.
Steuer, J. (1992), “Defining virtual reality: dimensions determining telepresence,” Journal of Communication, 42, pp.73-93
Swanson, E., B. (1987), “Information channel disposition use,” Decision Sciences, 18, 131-145.
Szajna, B. (1996), “Empirical evaluation of the revised technology acceptance model,” Management Science, 42(1), 85-92.
Taylor, S. and Todd, P. (1995), “Understanding information technology usage: A test of competing models,” Information Systems Research,(6), 144-176.
Terry, D. J. (1993). Self-Efficacy Expectancies and The Theory of Reasoned Action, in The Theory of Reasoned Action: Its Application to AIDS-Preventive Behaviour. Terry, D. J., C. Gallois, and M. McCamish, (Eds.) Oxford, U.K.: Pergamon.
Trevino, L. K., and Webster, J. (1992), “Flow in computer-mediated communication: Electronic mail and voice mail evaluation and impacts,” Communication Research,19, 539-573.
Triandis, H. C. (1980), Values, Attitudes, and Interpersonal Behavior. Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes, and Values. NE, Lincoln: University of Nebraska Press.195-259.
Tu, C.H. (2002), “The measurement of social presence in an online learning environment,” International Journal on E-Learning, 1(2), pp.34-45.
Tu, C.H., and M.S. McIsaac (2002), “The relationship of social presence and interaction in online classes,” The American Journal of Distance Education, 16(3), pp.131-150.
Venkatesh, V. (1999), “Creation of favorable user perceptions: Exploring the role of intrinsic motivation,” MIS Quarterly, 23(2), 239-260.
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.
Venkatesh, V. and Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science, 46(2), 186-204.
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.
Venkatesh, V., F. D. Davis, and Morris,M. G. (2007).“Dead or alive? The Development, Trajectory and Future of Technology Adoption Research.“, Journal of the Association for Information Systems, 8, 4, 268-286.
Venkatesh, V., Morris, M. G., Davis, G., B. and Davis, F. D. (2003), “User acceptance of information technology: Toward a unified view,” MIS Quarterly, 27, 425-478.
Wadley, G., Gibbs, M., Hew, K., and Graham, C. (2003), Computer supported cooperative play, “Third places” and online videogames, Paper presented at the Thirteenth Australian Conference on Computer Human Interaction, University of Queensland.
Warshaw, P. R. (1980), “A new model for predicting behavioral intentions: An alternative to Fishbein,” Journal of Marketing Research, 17(2), 153-172.
Webster, J., and Martocchio, J., J. (1992), “Microcomputer playfulness: development of a measure with workplace implications,” MIS Quarterly, 16(2), 201-226.
Webster, J., Trevino, L., K., and Ryan, L. (1993), “The dimensionality and correlates of flow in human-computer interactions,” Computer in Human Behavior, 9, 411-426.
Wiener, M., & Mehrabian, A. (1968). “Language within language: Immediacy, a channel in verbal communication.” New York: Appleton-Century-Crofts.
Wooldridge, B. R. (1999), The Impact of Communal Behaviors on the Judgment of Service Quality, Louisiana State University, Shreveport.
Wu, J. H. and Wang, S. C. (2005), “What drives mobile commerce? an empirical evaluation of the revised technology acceptance model,” Information and Management, Amsterdam: 42(5), 719-729.
Yen, H. and Gwinner, K. (2003), “Internet retail customer loyalty: The mediating role of relational benefits”, International Journal of Service Industry Management, 14(5), 483-500.
Yu, Y.-L. (2004), The Impact of Perceived Interactivity and Vividness of Video Games on Customer Buying Behavior, Unpublished Doctoral Dissertation, LUNN University, Boca Raton, Florida.
Zeithaml, V. A. (1982). "Consumer response to in-store Price Information Environments", Journal of Consumer Research, 8, 357-69.
Zeithaml, V. A. (1983). "Conceptualizing and Measuring Consumer Response to Price", In Bagozzi, R. P. and Tybout, A. M. (Ed.), Advances in Consumer Research, 10, 612-16.
Chinese Sources:
資策會MIC(2004)，「遊戲產業現況與發展趨勢分析」，台北：財團法人資訊工業策進會，資訊市場情報中心。描述 碩士
國立政治大學
企業管理研究所
94355020
98資料來源 http://thesis.lib.nccu.edu.tw/record/#G0943550201 資料類型 thesis dc.contributor.advisor 賴士葆 zh_TW dc.contributor.author (作者) 許媖媖 zh_TW dc.contributor.author (作者) Hsui, Dorothy en_US dc.creator (作者) 許媖媖 zh_TW dc.creator (作者) Hsui, Dorothy en_US dc.date (日期) 2009 en_US dc.date.accessioned 8-十二月-2010 01:52:09 (UTC+8) - dc.date.available 8-十二月-2010 01:52:09 (UTC+8) - dc.date.issued (上傳時間) 8-十二月-2010 01:52:09 (UTC+8) - dc.identifier (其他 識別碼) G0943550201 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/48875 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所 zh_TW dc.description (描述) 94355020 zh_TW dc.description (描述) 98 zh_TW dc.description.abstract (摘要) In this study the technology acceptance model (TAM) serves as the foundation to analyze the behavior of consumers with regards to their use of the smartphone and its associated services. The research also aims to provide a basis for companies that need a complete theoretical framework to better understand the behavior of consumers using smartphones and related services under the intensely competitive environment and constantly evolving changes in consumer demand. The extensive version of TAM will assist in analyzing consumer behavior and influences affecting the use of smartphones, which will be validated through the empirical data collected. This research utilizes one questionnaire to conduct investigations pertaining to the study. Questionnaires were distributed to consumers that use mobile services and/or applications. The majority of the questionnaires were filled out by students in college and graduate institutions in Taipei, Taiwan. In addition, a majority of the subjects who participated have already purchased smartphones. A total of 500 questionnaires were distributed and 266 were returned, making a 53.2 % return rate.Results retrieved from this study are as follows:1. When a user experiences deeper social presence, higher subjective norms are created by the application.2. When a user experiences deeper social presence, perceived usefulness of the application increases.3. When a user experiences deeper social presence, perceived ease of use of the application fluctuates. 4. The higher the application’s subjective norms are, the more significant is the increase of the user’s image.5. The higher the application’s subjective norms are, the more significant is the increase of perceived usefulness 6. As the user’s perceived ease of use of the application increases, the greater the influence becomes on perceived usefulness.7. The higher the application’s subjective norm is, the more the user’s behavioral intention to use increases.8. As the application’s perceived usefulness increases, the user’s behavioral intention to use the application also increases.9. As the user’s perceived ease of use for the application increases, the greater the influence on behavioral intention to use becomes. Undoubtedly, companies need to understand consumer behavior and their use of the smartphones. Consequently, this study seeks to use theories from TAM as a basis and consider principles of external factors influencing a consumer-----social presence and society’s influences. The components of TAM, social presence and society’s influences are analyzed to compile this research. en_US dc.description.tableofcontents Abstract ----------------------------------------------------------------------------------------------- ITable of Contents ----------------------------------------------------------------------------------IIIFigures --------------------------------------------------------------------------------------------- VTables -------------------------------------------------------------------------------------------------VAppendix ---------------------------------------------------------------------------------------------V1.Research Background and Impetus -------------------------------------------------------------1 1.1 Background and Inspiration --------------------------------------------------------- 1 1.2 Purpose of Research ------------------------------------------------------------------42. Literature Review ---------------------------------------------------------------------------------5 2.1. Industry of Mobile Technology Services and Applications Introduction ------5 2.1.1 Nature of Mobile Technology Services and Applications ------------ 5 2.1.2 Overview of Mobile Technology Services and Applications Market-7 2.2 Social Presence -------------------------------------------------------------------- 10 2.2.1 Definition of Social Presence ---------------------------------------10 2.2.2 Dimensions of Social Presence -------------------------------------11 2.2.3 Value of Social Presence --------------------------------------------- 13 2.3 Technology Acceptance Model (TAM) ------------------------------------------15 2.3.1 Defining of TAM ---------------------------------------------------------15 2.3.2 Contents of TAM -------------------------------------------------------17 2.3.3 Structure of TAM ------------------------------------------------------ 21 2.3.4 Value of TAM ------------------------------------------------------------ 263. Research Design ---------------------------------------------------------------------------------29 3.1 Theoretical Structure ------------------------------------------------------------------29 3.2 Hypothesis --------------------------------------------------------------------------- 32 3.3 Reserach Variables and Measurements ---------------------------------------------36 3.3.1 Definition of Variables -------------------------------------------------- 36 3.3.2 Research Variables and Measurement -------------------------------- 37 3.4 Research Methodology ------------------------------------------------------------ 43 3.4.1 Scope of Research -------------------------------------------------------43 3.4.2 Questionnaire Sampling ------------------------------------------------- 44 3.4.3 Method of Questionnaire Analysis -------------------------------------444. Research Results and Interpretations ---------------------------------------------------------47 4.1 Reliability ------------------------------------------------------------------------------47 4.2 Validity ---------------------------------------------------------------------------------49 4.3 Sample Demographic Structure ---------------------------------------------------51 4.3.1 Gender -------------------------------------------------------------------------51 4.3.2. Age --------------------------------------------------------------------------51 4.3.3 Education Degree ---------------------------------------------------------52 4.3.4. Daily Use of Internet (time) --------------------------------------------52 4.3.5. Frequency of Using Mobile Services----------------------------------53 4.3.6. Most Commonly Used Mobile Services and or Applications -----54 4.4 General Description of Statistical Analysis ----------------------------------------57 4.5 Hypothesis Verification --------------------------------------------------------------57 4.5.1 Full Model and Measurement Model Analysis ---------------------57 4.5.2 Research Framework Analysis ------------------------------------------58 4.5.3 Hypothesis and Result Analysis ----------------------------------------615. Conclusion and Recommendations -----------------------------------------------------------64 5.1 Research Conclusion ------------------------------------------------------------------64 5.2 Discussion ------------------------------------------------------------------------------68 5.2.1 Theoretical Contributions ---------------------------------------------68 5.2.2 Managerial Implications -------------------------------------------------69 5.3 Research Limitations and Extensions ---------------------------------------------72References ----------------------------------------------------------------------------------------74List of FiguresFigure 1 Theory of Reasoned Action---------------------------------------------------------16Figure 2 Theory of Planned Behavior -------------------------------------------------------17Figure 3 TAM Structure -----------------------------------------------------------------------22Figure 4 TAM 2 ------------------------------------------------------------------------------24Figure 5 Model Results, Estimating Value -------------------------------------------------59Figure 6 Model Results, t value --------------------------------------------------------------60List of TablesTable 1 Degree of Social Presence by Media Type---------------------------------------12Table 2 Research Variables - Operational Definition and Measurements ------------36Table 3 Dependent Variables & Operational Definition --------------------------------37Table 4 Cronbach α Coefficient -------------------------------------------------------------47Table 5 Overall Reliability-------------------------------------------------------------------48Table 6 Validation Testing: Convergent Validity Analysis-------------------------------50Table 7 Sample Statistics ─Gender---------------------------------------------------------51Table 8 Sample Demographic Statistics ─Age--------------------------------------------51Table 9 Sample Demographic Statistics ─ Level of Education-------------------------52Table 10 Sample Demographic Statistics- Daily Use of Internet (time)-----------------52Table 11 Sample Demographic Statistics- Frequency of Using Mobile Services------53Table 12 Sample Demographic Statistics- The Most Commonly Used Mobile Services and or Applications------------------------------------------------------------54Table 13 Statistics Depicted-------------------------------------------------------------------56Table 14 Measurement Model ----------------------------------------------------------------57Table 15 Full Model ---------------------------------------------------------------------------58Table 16 Model Fit Results--------------------------------------------------------------------61Appendix Appendix 1 Questionnaire ------------------------------------------------------------------------86 zh_TW dc.language.iso en_US - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0943550201 en_US dc.subject (關鍵詞) 社會化臨場感 zh_TW dc.subject (關鍵詞) 行動服務 zh_TW dc.subject (關鍵詞) Social Presence en_US dc.subject (關鍵詞) TAM en_US dc.subject (關鍵詞) Mobile Services en_US dc.subject (關鍵詞) Image en_US dc.subject (關鍵詞) Society`s Influences en_US dc.title (題名) 社會化臨場感對行動服務採用行為之影響 zh_TW dc.title (題名) The impact of social presence on the adoption behavior of mobile services en_US dc.type (資料類型) thesis en dc.relation.reference (參考文獻) Adams, D. A., Nelson, R. R., and Todd, P.A. (1992), “Perceived usefulness, ease of use, and usage of information technology: A replication,” MIS Quarterly, 16(2), 227-248. zh_TW dc.relation.reference (參考文獻) Agarwal, R. and J. Prasad (1999). “Are individual differences germane to the acceptance of new information technologies,” Decision Sciences, 30(2), 361-391. zh_TW dc.relation.reference (參考文獻) Ajzen, I. (1985), “From Intention To Actions: A Theory Of Planned Behavior,” In Kuhl , J., and Beckmann, J (Eds.), Action control: From cognition to behavior. Heidelberg: Springer. zh_TW dc.relation.reference (參考文獻) Anderson, J. and David W. Gerbing, (1988), “Structural equation modeling in practice: A review and recommended two step approach,” Psychological Bulletin, 103 (3), 411-423. zh_TW dc.relation.reference (參考文獻) Anderson, K. E.(1999), “Internet use among college student: An exploratory study,” Retrieved June 20, 2009 from http://www.rpi.cde/~anderk4/research.html zh_TW dc.relation.reference (參考文獻) Anderson, T., Rourke, L., Garrison, D. R., & Archer, W. (2001). zh_TW dc.relation.reference (參考文獻) “Assessing teaching presence ina computer conferencing context.” Journal of Asynchronous Learning Networks, 5(2), 1-17. zh_TW dc.relation.reference (參考文獻) Argyle, M., &Dean, J. (1965). “Eye contact, distance, and affiliation”. Sociometry, 28, 289-304. zh_TW dc.relation.reference (參考文獻) Atkinson M., and Kydd, C. (1997), “Individual characteristics associated with World-Wide-Web use: an empirical study of playfulness and motivation,” The Data Base for Advances in Information Systems, 28(2), 53-62. zh_TW dc.relation.reference (參考文獻) Bagozzi, R.P., and Youjae, Yi, (1988), “On the evaluation for structural equation models,” Journal of Management Review, 27,17-40. zh_TW dc.relation.reference (參考文獻) Baker, J. (1987), “The Role of Environment in Marketing Services: The Consumer Perspectives,” in J. A., Czepiel, C. A., Congram, and J. Shanahan, (Eds.), Service Chanllenge: Integrating for Competitive Advantage, Chicago: American Marketing Association, 79-84. zh_TW dc.relation.reference (參考文獻) Ballantine, P. and Martin, B. (2004), Parasocial Interaction Relationships In Online Communities, In ANZMAC 2004 Conference Programme, Internet Mktng, CRM and E-Com, New Zealand. zh_TW dc.relation.reference (參考文獻) Bandura, A. (1982). “Self-efficacy mechanism in human agency,” American Psychologist, 37, pp.122-147. zh_TW dc.relation.reference (參考文獻) Barnett, L. A. (2007), “The nature of playfulness in young adults,” Personality and Individual Differences, 43(4), 949-958. zh_TW dc.relation.reference (參考文獻) Barnett, L.A. (1991), “The playful child: measurement of a disposition to play,” Play and Culture, 4(1), 51-74. zh_TW dc.relation.reference (參考文獻) Bhattacherjee, A. (2002). "Individual Trust in Online Firms: Scale Development and Initial Test,"Journal of Management Information Systems (19) 1, pp. 211-241. zh_TW dc.relation.reference (參考文獻) Bitner, M. J., Booms, B. H. and Tetreault M. S. (1990), “The Service Encounter: Diagnosing Favorable and Unfavorable Incidents,” Journal of Marketing, 54, January, 71-84. zh_TW dc.relation.reference (參考文獻) Bitner, M. J., S. W., Brown, and M. L., Meuter (2000), “Technology Infusion in Service Encounters,” Journal of the Academy of Marketing Science, 28(1), 139-149. zh_TW dc.relation.reference (參考文獻) Blodgett, J., G., & Donald H. Granbois, and Rockney G., Walters, (1993), “The Effect of Perceived Justice on Negative Word of Mouth and Repatronage Intentions,” Journal of Retailing, 69 (4), 399-428. zh_TW dc.relation.reference (參考文獻) Bollen, K.,A. (1989), Structural Equations with Latent Variable. NY:Wiley. zh_TW dc.relation.reference (參考文獻) Boomsma, A. (1982), Systems under Indirect Observation: Part I, Amersterdam: North- Holland, pp. 149-173. zh_TW dc.relation.reference (參考文獻) Brown, B. and Bell, M. (2004), “CSCW at play: “There” as a collaborative virtual environment,” In Proceedings of CSCW, 350-359. zh_TW dc.relation.reference (參考文獻) Buxton, W. (1994), “Human Skills in Interface Design,” in macdonald, L. W. and Vince, J. (Eds.), Interacting with Virtual Environments, New York: Wiley, 1-12. zh_TW dc.relation.reference (參考文獻) Carrol, J., M., and Thomas, J., C. (1998), Fun, SIGGHI Bulletin. zh_TW dc.relation.reference (參考文獻) Chan, S. C. and Lu, M. T. (2004), “Understanding internet banking adoption and use behavior: a Hong Kong perspective,” Journal of Global Information Management, 12(3), 21-43. zh_TW dc.relation.reference (參考文獻) Chandon, J.-L., P.-Y., Leo, and Philippe, J. (1997), “Service Encounter Dimensions-A Dyadic Perspective: Measuring the Dimensions of Service Encounters As Perceived By Customers and Personnel,” International Journal of Service, 8(1), 65-86. zh_TW dc.relation.reference (參考文獻) Chung, J. and Tan, F., B. (2004), “Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites,” Information and Management, 41(7), 869-881. zh_TW dc.relation.reference (參考文獻) CLSA Asia Pacific Markets. Global Smartphones Sector Outlook. Global Technology. Apr. 20, 2010. zh_TW dc.relation.reference (參考文獻) Connell, J.P. (1985), “A new multidimensional measure of children’s perceptions of control,” Child Development, 56, 1018-1041. zh_TW dc.relation.reference (參考文獻) Cooper, P. (1969a), Subjective Economics: Factors in a Psychology of Spending, in Pricing Strategy (112-121). Bernard T. and Gordon W., (Eds.) London: Staples Press, Ltd. zh_TW dc.relation.reference (參考文獻) Cooper, P. (1969b). The Begrudging Index and the Subjective Value of Money, in Pricing Strategy (122-131). Bernard T., and Gordon W., (Eds.) London: Staples Press, Ltd. zh_TW dc.relation.reference (參考文獻) Cowway, J. C. and Rubin, A. M. (1991), “Psychological predictors of television viewing motivation,” Communication Research, 18(4), 443-463. zh_TW dc.relation.reference (參考文獻) Csikszentmihalyi, M. (1975), Beyond boredom and anxiety, San Francisco: Jossey-Bass. zh_TW dc.relation.reference (參考文獻) Dabholkar, P A. (1996), “Consumer Evaluations of New Technology-Based Self-Service Options: An Investigation of Alternative Models of Service Quality,” International Journal of Research in Marketing, 13, 29-51. zh_TW dc.relation.reference (參考文獻) Dabholkar, P. A. and Bagozzi, R. P. (2002), “An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors,” Journal of the Academy of Marketing Science, 30(3), 184-201. zh_TW dc.relation.reference (參考文獻) Davis, F. D. (1986). A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory And Results, Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA. zh_TW dc.relation.reference (參考文獻) Davis, F. D., Bagozzi, R. P., and Warshaw, P., R. (1989), “User acceptance of computer technology：A comparison of two theoretical models,” Management Science, 35(8), 982-1003. zh_TW dc.relation.reference (參考文獻) Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. (1992), “Extrinsic and intrinsic motivation to use computers in the workplace,” Journal of Applied Social Psychology, 22(14), 1111-1132. zh_TW dc.relation.reference (參考文獻) DeSanctis, G. (1983), “Expectancy Theory as an Explanation of Voluntary Use of a Decision Support System,” Psychological Reports, 247-260. zh_TW dc.relation.reference (參考文獻) Dickson, P. and Alan, S. (1985). "Point of purchase behavior and price perceptions of supermarket shoppers", Marketing Science Institute Working Paper Series. zh_TW dc.relation.reference (參考文獻) Dodds, W. B., K. Monroe, and Grewal, D. (1991). “Effects of Price, Brand, and Store Information on Buyers’ Product Evaluation”, Journal of Marketing Research, 28, 307–319. zh_TW dc.relation.reference (參考文獻) Dolen, W. M. van, and J. C. de, Ruyter (2002), “Moderated Group Chat: An Empirical Assessment of a New E-Service Encounter,” International Journal of Service Industry management, 13(5), pp. 496-511. zh_TW dc.relation.reference (參考文獻) Elgan, Mike. (2007), “Its time we stopped talking about smartphones, it’s a meaningless label is a dumb idea.’ Computerworld. zh_TW dc.relation.reference (參考文獻) Eroglu, S. A., and Machleit, K. A. (1993), “Atmospheric factors in the retail environment: sights, sounds and smells,” Advances in Consumer Research, 20(34). zh_TW dc.relation.reference (參考文獻) Featherman, M. S. and Pavlou, P. A. (2003), “Predicting e-services adoption: a perceived risk facets perspective,” International Journal of Human-Computer Studies, 59(4), 415-475. zh_TW dc.relation.reference (參考文獻) Fishbein, M., and Ajzen, I. (1975), Belief, Attitude, Intentions And Behavior: An Introduction To Theory And Research, Boston: Addison-Wesley. zh_TW dc.relation.reference (參考文獻) Fornell, C. and D. F. Larcker. (1981). "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research (18) 1, pp. 39-50. zh_TW dc.relation.reference (參考文獻) Garrison, D. and T. Anderson (2003), E-learning in the 21st century. London: Routledge Falmer. zh_TW dc.relation.reference (參考文獻) Gefen, D., Karahanna, E. and Straub, D. W. (2003), “Inexperience and experience with online stores: the importance of TAM and trust,” IEEE Transactions on Engineering Management, 503, 307-321. zh_TW dc.relation.reference (參考文獻) Gefen, D., D. Straub, and M. C. Boudreau. (2000). "Structural Equation Modeling and zh_TW dc.relation.reference (參考文獻) Regression: Guidelines for Research Practice," Communications for the Association of Information Systems (4pp. 1-79. zh_TW dc.relation.reference (參考文獻) Gerrig, R. J. (1993), Experiencing Narrative Worlds, New Haven, CT: Yale University Press. zh_TW dc.relation.reference (參考文獻) Giles, D. C. (2002), “Parasocial interaction: A review of the literature and a model for future research,” Media Psychology, 4(3), 279-305. zh_TW dc.relation.reference (參考文獻) Guiry, M. (1992), “Consumer and employee roles in service encounters,” Advances in Consumer Research, 19, 666-672. zh_TW dc.relation.reference (參考文獻) Gunawardena, C. N. (1995). “Social presence theory and implications for interaction and collaborative learning in computer conferences.” International Journal of EducationalTelecommunications, 1(2/3), 147-166. zh_TW dc.relation.reference (參考文獻) Gunawardena, C. N., & Zittle, F. J. (1997). “Social presence as a predictor of satisfaction with a computer-mediated conferencing environment.” American Journal of Distance Education,11, 8-26. zh_TW dc.relation.reference (參考文獻) Ha, I., Y. Yoon, and M. Choi (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment,” Information and Management, 44(3), 2007, p.276-286. zh_TW dc.relation.reference (參考文獻) Hair,J.E., & Roiph E. Anderson & Ronald L. Tatham, and William C. Black (1998), “Multivariate Data Analysis,” N.Y.: Machmillan Publishing Company. zh_TW dc.relation.reference (參考文獻) Hawkins, D. I., R. J. Best and Coney, K. A. (2004), Consumer Behavior: Building Marketing Strategy, (9th ed.). Boston: McGraw-Hill Irwin. zh_TW dc.relation.reference (參考文獻) Hong, S. J. and K. Y. Tam, (2006). “Understanding the adoption of multipurpose iInformation appliances: the case of mobile data dervices”, Information Systems Research, 17, 2, 162-179. zh_TW dc.relation.reference (參考文獻) Hong, W., Thong, J.Y.L., Wong, W.W. and Tam, K.Y. (2002), “Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics.” Journal of Management Information System, 18(3), 97-123. zh_TW dc.relation.reference (參考文獻) Horton, D. and Wohl, R. R. (1956), “Mass communication and parasocial interaction,” Psychiatry, 19(3), 215-229. zh_TW dc.relation.reference (參考文獻) Hsu, C. L. and H. P. Lu (2004), “Why do people play on-line games? an extended TAM with social influences and flow experience,” Information & Management, 41(7), p.853-868 zh_TW dc.relation.reference (參考文獻) Hsu, C. L. and H. P. Lu (2007), “Consumer behavior in online game communities: A motivational factor perspective,” Computers in Human Behavior, 23(3), 1642-1659 zh_TW dc.relation.reference (參考文獻) Hu, L. and P. M. Bentler. (1999). "Cut-Off Criteria for Fit Indexes in Covariance Matrix Analysis: Conventional Criteria versus New Alternatives," Structural Equation Modeling (6) 1, pp. 1-55. zh_TW dc.relation.reference (參考文獻) Igbaria, M. (1990), “End-user computing effectiveness: a structural equation model,” Omega, 18(6). zh_TW dc.relation.reference (參考文獻) Igbaria, M., and Tan, M. (1997), “The consequence of information technology acceptance subsequent individual performance,” Information and Management, 32, 113-121 zh_TW dc.relation.reference (參考文獻) Igbaria, M., Iivari, J., and Maragahh, H. (1995), “Why do individuals use computer technology? A Finnish case study,” Information and Management, 29, 227-238. zh_TW dc.relation.reference (參考文獻) Igbaria, M., Parasuraman, S., and Baroudi, J., J. (1996), “A motivational model of microcomputer usage,” Journal of Management Information Systems, 13(1), 127-143. zh_TW dc.relation.reference (參考文獻) Igbaria, M., Schiffman, S., J. and Wieckowshi, T., S. (1994), “The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology,” Behavior and Information Technology, 13(6), 349-361. zh_TW dc.relation.reference (參考文獻) Ivcevic, Z. and Mayer, J. D. (2006-2007), “Creative types and personality,” Imagination Cogitation and Personality, 26(1-2), 65-68, Retrieved May 17, 2007, from ProQuest database. zh_TW dc.relation.reference (參考文獻) Jacoby, J. R. and Olson, J. (1977), “Consumer Response to Price: An Attitudinal, Information Processing Perspective” Wind, T., Greenberg, P., (Eds.), Moving Ahead with Attitude Research (73–86). IL, Chicago: American Marketing Association. zh_TW dc.relation.reference (參考文獻) Jang, C.-Y. (2006), “Supporting collaborative fighting- A case study of a massively multiplayer online game user community,” Paper presented at the 7th Asia-Pacific Conference on Computer-Human Interaction, Taipei, Taiwan. zh_TW dc.relation.reference (參考文獻) Joreskog,K. and D. Sorbom (1993), zh_TW dc.relation.reference (參考文獻) Kelman, H. C. (1958), “Complicance, identification, and internalization three processes of attitude change,” The Journal of Conflict Resolution, 251-260. zh_TW dc.relation.reference (參考文獻) Keng, C. J. and Lin, H. Y. (2006), “Impact of Telepresence Levels on Internet Advertising Effects,” Cyber Psychology and Behavior, 9(1), pp.82-94. zh_TW dc.relation.reference (參考文獻) Kim, T., and Biocca, F. (1997), “Vividness Effects: A Resource-Matching Perspective,” Journal of Consumer Research, 24(Dec), 295-304 zh_TW dc.relation.reference (參考文獻) Klein, L. R. (1999), Creating Virtual Experiences in the New Media. Unpublished Doctoral Dissertation, Harvard Graduate School of Business Administration. zh_TW dc.relation.reference (參考文獻) Koenig, F. and Lessan, G. (1985), “Viewers’ relations to television personalities,” Psychological Reports, 57(1), 263-266. zh_TW dc.relation.reference (參考文獻) Koufaris, M. (2002), “Applying the technology acceptance model and flow Theory to online consumer behavior,” Information Systems Research, 13(2), 205-223. zh_TW dc.relation.reference (參考文獻) Lederer, A. L., Maupin, D. J., Sena, M. P., and Zhuang, Y. (2000), “The technology acceptance model and the World Wide Web,” Decision support systems, 29, 269-282. zh_TW dc.relation.reference (參考文獻) Legris, P., J. Ingham and Collerette, P. (2003), “Why do people use information technology? A critical review of the technology acceptance model,” Information and Management, 40(3), 191-204. zh_TW dc.relation.reference (參考文獻) Lepper, M., R. (1985), “Microcomputers in education: motivational and social issues,” American Psychologist, 1-18. zh_TW dc.relation.reference (參考文獻) Levy, M. R. (1979), “Watching TV news as para-social interaction,” Journal of Broadcasting, 23(1), 69-80. zh_TW dc.relation.reference (參考文獻) Lieberman, J., N. (1977), Playfulness: Its Relationship to Imagination and Creativity, Academic Press, New York,. zh_TW dc.relation.reference (參考文獻) Lin, C. S., Wu, S., and Tsai, R., J. (2005), “Integrating perceived playfulness into expectation-confirmation model for web portal context,” Information and Management, 42(5), 683-693. zh_TW dc.relation.reference (參考文獻) Lin, J.C.-C. and Lu, H. (2000), “Towards an Understanding of the Behavioral Intention to Use a Web Site,” International Journal of Information Management, 20(3), 197-208. zh_TW dc.relation.reference (參考文獻) Lockwood, and Andrew (1994), “Using Service Incidents to Identify Quality Improvement Points,” International Journal of Contemporary Hospitality Management, 6(1-2), 75-80. zh_TW dc.relation.reference (參考文獻) Lu, H., Yu, H.-J., and Lu, S. S.K. (2001), “The effects of cognitive style and model type on acceptance: an empirical study,” European Journal of Operational Research, 131, 649-663. zh_TW dc.relation.reference (參考文獻) Lucas, H., C. (1978), “Empirical evidence for a descriptive model of implementation,” MIS Quarterly, 2(2), 27-41. zh_TW dc.relation.reference (參考文獻) Maish, A., M. (1979),“A user’s behavior towards his MIS,” MIS Quarterly, 31(1), 39-42. zh_TW dc.relation.reference (參考文獻) Malone T.W. (1981), “Toward a theory of intrinsically motivating instruction,” Cognitive Science, 4, 333-369. zh_TW dc.relation.reference (參考文獻) Mathieson, K.(1991), “Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior”, Information Systems Research, 2, 3, 173-191. zh_TW dc.relation.reference (參考文獻) Meuter, M. L., A. L. Ostrom, M. J., Bitner, and R., Robert (2003), “The influence of technology anxiety on consumer use and experiences with self-service technologies,” Journal of Business Research, 56, 899-906. zh_TW dc.relation.reference (參考文獻) Meuter, M. L., A. L. Ostrom, R. I. Roundtree, and Bitner, M. J. (2000), “Self-service technologies: understanding customer satisfaction with technology-based service encounters,” Journal of Marketing, 64(July), 50-64. zh_TW dc.relation.reference (參考文獻) Meuter, M. L., and Curran, J. M. (2005), “Self-service technology adoption: comparing three technologies,” Journal of Services Marketing, 19 (2), 103-113. zh_TW dc.relation.reference (參考文獻) Monroe, K. B. (1979). Pricing: Making Profttable Decisions, New York: McGraw-Hill. zh_TW dc.relation.reference (參考文獻) Monroe, K. B. (1990). Pricing: Making Profitable Decisions, (2nd ed.) New York: McGraw-Hill. zh_TW dc.relation.reference (參考文獻) Monroe, K. B. and Krishnan, R. (1985), “The effect of price on subjective product evaluations,” J. Jacoby, J. Olson, (Eds.), Perceived Quality, Lexington Books, Lexington, MA, 209–232. zh_TW dc.relation.reference (參考文獻) Moon, J., W., and Kim, Y., G. (2001), “Extending the tam for a world-wide-web context,” Information and Management, 38(4), 217-230. zh_TW dc.relation.reference (參考文獻) Muthén, B. O. and L. Muthén. (2003). The Comprehensive Modeling Program for AppliedResearchers User Guide. Los Angeles, CA: Muthén & Muthén zh_TW dc.relation.reference (參考文獻) Novak, T. P. and Hoffman, D.L. (1997), “Measuring the flow experience among Web users,” Project 2000, Vanderbilt University, Paper Presented at Interval Research Corporation, July 31. zh_TW dc.relation.reference (參考文獻) Parasuraman, A., V. A., Zeithaml, and Berry, L. L. (1996), “The behavioral comequences of service quality,” Journal of Marketing, 60, 31-46. zh_TW dc.relation.reference (參考文獻) Pavlou, P. A. (2003), “Consumer scceptance of electronic commerce—integrating trust and risk with the technology acceptance model,” International Journal of Electronic Commerce, 73, 69–103. zh_TW dc.relation.reference (參考文獻) Perse, E. M. and Rubin, R. B. (1989), “Attribution in social and parasocial relation,” Communication Research, 16(1), 59-77. zh_TW dc.relation.reference (參考文獻) Pine II B.J. and Gilmore, J. H. (1998). Welcome to the Experience Economy, Harvard Business Review, July-August, 97-105. zh_TW dc.relation.reference (參考文獻) Quinn, J.B. (1996), “The productivity paradox is false: information technology improves service performance,” in T.A., Swartz, D. E., Brown, and Greenwich, (Eds.), Advances in Services Marketing and Management, 5th ed, CT: JAI, 71-84. zh_TW dc.relation.reference (參考文獻) Rice, R. (1984). Communication research and technology: The new media. Beverly Hills, CA: sage. zh_TW dc.relation.reference (參考文獻) Rice, R., E. and G. Love (1987), “Electronic emotion: Socioemotional content in a computer mediated communication network,” Communication Research, 14, pp.85-108. zh_TW dc.relation.reference (參考文獻) Robey, D. (1979), “User attitudes and management information systems use,” Academy of Management Journal, 22(3), 527-538. zh_TW dc.relation.reference (參考文獻) Rosengren, K. E. and Windahl, S. (1974), “Mass media consumption as a functional alternative,” McQuail, Denis(Ed.), Sociology of Mass Communications, Harmonds-worth: Penguin. zh_TW dc.relation.reference (參考文獻) Rubin, A. M. (2000), “Impact of motivation, attraction and parasocial interaction on talk radio listening,” Journal of Broadcasting and Electronic Media, 44(4), 635-655. zh_TW dc.relation.reference (參考文獻) Rubin, A. M., Perse, E. M. and Powell, R. A. (1985), “Loneliness, parasocial interaction, and local television news viewing,” Human Communication Research, 12(2), 155-180. zh_TW dc.relation.reference (參考文獻) Rubin, K. H., Fein, G. G., and Vandenberg, B. (1983), Play, In P. H. Mussen and Hetherington, E. M. (Eds.), Carmichael’s Manual of Child Psychology, IV New York: Wiley. zh_TW dc.relation.reference (參考文獻) Segars, A. H., & Grover, V. (1993, December), “Re-examining perceived ease of use and usefulness: a confirmatory factor analysis,” MIS Quarterly, 517-525. zh_TW dc.relation.reference (參考文獻) Sheridan, T. B. (1986), “Human supervisory control of robot system,” in proceedings of IEEE International conference on Robotics Automation, San Francisco, CA., 808-812. zh_TW dc.relation.reference (參考文獻) Short, J., E. Williams and B. Christie (1976), “The Social Psychology and Telecommunications.” London: John Wiley. zh_TW dc.relation.reference (參考文獻) Shostack, G. L. (1985), “Planning the service encounter,” in J.A., Czepiel, Solomon, M.R., C.F., Surprenant, and E.G., Gutman, (Eds.), The Service Encounter – Managing Employee/Customer Interaction in Service Businesses, 243–254. zh_TW dc.relation.reference (參考文獻) Solomon, M. R., J. A., Czepiel, C. F. Surprenant, E. G. Gutman, (1985), “Service encounter: an overview,” in J. A., Cqepiel, M. R., Solomon, and C. F., Suprenant, (Eds.), the service encounter-management employee/customer interaction in service businesses, NY: Lexington Books, 3-15. zh_TW dc.relation.reference (參考文獻) Soukup, C. (2006), “Computer-mediated communication as a virtual third place: building Oldenburg’s great good places on the World Wide Web,” New Media and Society, 8(3), 421-440. zh_TW dc.relation.reference (參考文獻) Steuer, J. (1992), “Defining virtual reality: dimensions determining telepresence,” Journal of Communication, 42, pp.73-93 zh_TW dc.relation.reference (參考文獻) Swanson, E., B. (1987), “Information channel disposition use,” Decision Sciences, 18, 131-145. zh_TW dc.relation.reference (參考文獻) Szajna, B. (1996), “Empirical evaluation of the revised technology acceptance model,” Management Science, 42(1), 85-92. zh_TW dc.relation.reference (參考文獻) Taylor, S. and Todd, P. (1995), “Understanding information technology usage: A test of competing models,” Information Systems Research,(6), 144-176. zh_TW dc.relation.reference (參考文獻) Terry, D. J. (1993). Self-Efficacy Expectancies and The Theory of Reasoned Action, in The Theory of Reasoned Action: Its Application to AIDS-Preventive Behaviour. Terry, D. J., C. Gallois, and M. McCamish, (Eds.) Oxford, U.K.: Pergamon. zh_TW dc.relation.reference (參考文獻) Trevino, L. K., and Webster, J. (1992), “Flow in computer-mediated communication: Electronic mail and voice mail evaluation and impacts,” Communication Research,19, 539-573. zh_TW dc.relation.reference (參考文獻) Triandis, H. C. (1980), Values, Attitudes, and Interpersonal Behavior. Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes, and Values. NE, Lincoln: University of Nebraska Press.195-259. zh_TW dc.relation.reference (參考文獻) Tu, C.H. (2002), “The measurement of social presence in an online learning environment,” International Journal on E-Learning, 1(2), pp.34-45. zh_TW dc.relation.reference (參考文獻) Tu, C.H., and M.S. McIsaac (2002), “The relationship of social presence and interaction in online classes,” The American Journal of Distance Education, 16(3), pp.131-150. zh_TW dc.relation.reference (參考文獻) Venkatesh, V. (1999), “Creation of favorable user perceptions: Exploring the role of intrinsic motivation,” MIS Quarterly, 23(2), 239-260. zh_TW dc.relation.reference (參考文獻) 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. zh_TW dc.relation.reference (參考文獻) Venkatesh, V. and Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science, 46(2), 186-204. zh_TW dc.relation.reference (參考文獻) 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. zh_TW dc.relation.reference (參考文獻) Venkatesh, V., F. D. Davis, and Morris,M. G. (2007).“Dead or alive? The Development, Trajectory and Future of Technology Adoption Research.“, Journal of the Association for Information Systems, 8, 4, 268-286. zh_TW dc.relation.reference (參考文獻) Venkatesh, V., Morris, M. G., Davis, G., B. and Davis, F. D. (2003), “User acceptance of information technology: Toward a unified view,” MIS Quarterly, 27, 425-478. zh_TW dc.relation.reference (參考文獻) Wadley, G., Gibbs, M., Hew, K., and Graham, C. (2003), Computer supported cooperative play, “Third places” and online videogames, Paper presented at the Thirteenth Australian Conference on Computer Human Interaction, University of Queensland. zh_TW dc.relation.reference (參考文獻) Warshaw, P. R. (1980), “A new model for predicting behavioral intentions: An alternative to Fishbein,” Journal of Marketing Research, 17(2), 153-172. zh_TW dc.relation.reference (參考文獻) Webster, J., and Martocchio, J., J. (1992), “Microcomputer playfulness: development of a measure with workplace implications,” MIS Quarterly, 16(2), 201-226. zh_TW dc.relation.reference (參考文獻) Webster, J., Trevino, L., K., and Ryan, L. (1993), “The dimensionality and correlates of flow in human-computer interactions,” Computer in Human Behavior, 9, 411-426. zh_TW dc.relation.reference (參考文獻) Wiener, M., & Mehrabian, A. (1968). “Language within language: Immediacy, a channel in verbal communication.” New York: Appleton-Century-Crofts. zh_TW dc.relation.reference (參考文獻) Wooldridge, B. R. (1999), The Impact of Communal Behaviors on the Judgment of Service Quality, Louisiana State University, Shreveport. zh_TW dc.relation.reference (參考文獻) Wu, J. H. and Wang, S. C. (2005), “What drives mobile commerce? an empirical evaluation of the revised technology acceptance model,” Information and Management, Amsterdam: 42(5), 719-729. zh_TW dc.relation.reference (參考文獻) Yen, H. and Gwinner, K. (2003), “Internet retail customer loyalty: The mediating role of relational benefits”, International Journal of Service Industry Management, 14(5), 483-500. zh_TW dc.relation.reference (參考文獻) Yu, Y.-L. (2004), The Impact of Perceived Interactivity and Vividness of Video Games on Customer Buying Behavior, Unpublished Doctoral Dissertation, LUNN University, Boca Raton, Florida. zh_TW dc.relation.reference (參考文獻) Zeithaml, V. A. (1982). "Consumer response to in-store Price Information Environments", Journal of Consumer Research, 8, 357-69. zh_TW dc.relation.reference (參考文獻) Zeithaml, V. A. (1983). "Conceptualizing and Measuring Consumer Response to Price", In Bagozzi, R. P. and Tybout, A. M. (Ed.), Advances in Consumer Research, 10, 612-16. zh_TW dc.relation.reference (參考文獻) Chinese Sources: zh_TW dc.relation.reference (參考文獻) 資策會MIC(2004)，「遊戲產業現況與發展趨勢分析」，台北：財團法人資訊工業策進會，資訊市場情報中心。 zh_TW
