政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/48875
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 112878/143845 (78%)
造访人次 : 50000874      在线人数 : 253
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    政大機構典藏 > 商學院 > 企業管理學系 > 學位論文 >  Item 140.119/48875


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/48875


    题名: 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
    贡献者: 賴士葆
    許媖媖
    Hsui, Dorothy
    关键词: 社會化臨場感
    行動服務
    Social Presence
    TAM
    Mobile Services
    Image
    Society`s Influences
    日期: 2009
    上传时间: 2010-12-08 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
    数据类型: thesis
    显示于类别:[企業管理學系] 學位論文

    文件中的档案:

    没有与此文件相关的档案.



    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈