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研究生: 黃莉雯
Huang, Li-Wen
論文名稱: 以延伸之科技接受度模型探討行動廣告效益之驅動因子
Factors Driving the Effectiveness of M-advertising Communication: An Empirical Study of Extended TAM
指導教授: 張心馨
Chang, Hsin-Hsin
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2007
畢業學年度: 95
語文別: 英文
論文頁數: 57
中文關鍵詞: 認知效用性廣告效果互動性科技接受模型行動廣告
外文關鍵詞: TAM, Advertising effectiveness, Perceived utility, Interactivity, M-advertising
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  • 由於行動技術的快速發展,廣告商使用行動裝置(手機或PDA)傳遞廣告訊息與服務的頻率日益增加,行動廣告被視為未來最具潛力的廣告通路。因此,本文以延伸之科技接受模型(TAM)探討行動廣告的互動性、認知的效用性、認知的有用性與認知的易用性對於廣告效果 (使用者態度與使用行為的意願) 之影響。研究對象針對曾經使用過行動廣告溝通相關訊息及服務之使用者,總共回收256份網路發放之有效樣本。根據結構方程模式分析結果如下:(1) 行動廣告溝通之互動性在本研究中並未顯著影響廣告效果(由態度導致未來的使用意願); (2) 使用者對於行動廣告的認知的效用性、認知有用性及認知易用性對廣告效果(由態度導致未來的使用意願)有顯著且正向的影響,且認知易用性亦對認知有用性產生顯著影響。由資料分析的結果,可建議廣告業者應根據行動廣告的不同使用目的及需求以制定未來行動廣告溝通之行銷策略。

    The rapid development of mobile technology makes advertisers increasingly take use of mobile devices (such as mobile phone and personal digital assistant, PDA) to deliver advertising messages and services. Mobile advertising communication is regarded a potential advertising channel. This study extended Technology Acceptance Model (TAM) and generalized four constructs (interactivity, perceived utility, perceived usefulness and perceived ease of use) to examine their effects on M-advertising effectiveness. A total of 256 responses having ever used m-advertising communication were collected through an online web survey. Data were primarily analyzed by means of structure equation model (SEM). Results indicate that (1) interactivity doesn’t significantly affect advertising effectiveness on mobile advertising communication (attitude to use intention); (2) perceived utility, perceived usefulness and perceived ease of use have significant and positive relationships on advertising effectiveness, and perceived ease of use have also significant influence on perceived usefulness. Based on these empirical results, this paper suggests managerial implications of new marketing strategies, focusing on different consumers’ purposes, needs and usage situation in the future.

    Abstract............................................I Abstract (Chinese).................................II Acknowledge.......................................III Contents...........................................IV List of Tables and Figures.........................VI Chapter 1 Introduction..............................1 Chapter 2 Research Background and Hypotheses Development 2.1 Mobile Advertising Communication (M-adcom)....5 2.2 Technology Acceptance Model and Extended TAM..7 2.3 Interactivity.................................8 2.4 Perceived Utility............................10 2.5 M-adcom Characteristics and M-advertising Effectiveness................................11 Chapter 3 Variables Measurement and Research Design 3.1 Conceptual Framework.........................17 3.2 Constructs Definition and Measurement........18 3.3 Research Design..............................20 Chapter 4 Data Analysis 4.1 Pilot Test...................................21 4.2 Sampling.....................................26 4.3 Data Analysis................................26 (1) Descriptive Statistic......................26 (2) Reliability and Validity Examination.......27 4.4 Structural Equation Model (SEM)..............34 Chapter 5 Research Findings and Recommendations 5.1 Research Findings..........................36 5.2 Managerial Implications....................40 5.3 Research Limitations and Suggestions.......42 Reference ..........................................43 Appendix I Measurement Scales.....................51 Appendix II Questionnaires.........................54

    1. Aaker, D.A., Kumar, V. and Day, G.S, (2001).
    Marketing Research, 7th Ed., John Wiley & Sons, New
    York
    2. Ajzen, I., (1991). “ The theory of planned behavior”,
    Organizational Behavior and Human Decision Processes,
    50:179–211.
    3. Ajzen, I. and Fishbein, M., (1980). Understanding
    attitudes and predicting social behavior, Prentice
    Hall, Englewood Cliffs, NJ, USA.
    4. Allen, M.J. and Yen, W.M., (1979). Introduction to
    Measurement Theory, Brooks-Cole, Monterey, CA.
    5. Anckar, B. and D’Incau, D., (2002). “Value creation
    in mobile commerce: findings from a consumer survey”,
    Journal of Information Technology Theory and
    Application, 4(1):43-64
    6. Bagozzi, R.P., Yi, Y. and Philips, L.W., (1988). “On
    the evaluation of structural equation models”, Journal
    of the Academy of Marketing Science, 16: 74-94
    7. Bauer, H.H., Barnes, S.J., Reichardt, T. and Neumann,
    M.M., (2005). “Driving consumer acceptance of mobile
    marketing: A theoretical framework and empirical
    study”, Journal of Electronic Commerce Research, 6(3):
    181-191
    8. Brackett, L.K. and Carr, B.N., (2001). “Cyberspace
    advertising vs. other media: Consumer vs. mature
    student attitudes”, Journal of Advertising Research ,
    41(5): 23- 32
    9. Brennan, I. and Bahn, K.D., (2006). “Literal versus
    extended symbolic messages and advertising
    effectiveness: The moderating role of need for
    cognition”, Psychology & Marketing, 23 (4):273-295
    10.Cambell, D.T. and Fiske, D.F., (1959). “Convergent and
    discriminant validation by the multitrait-multimethod
    matrix”, Psychological Bulletin, 56:81-105
    11.Chae, M. and Kim, J., (2003). “What's so different
    about the mobile Internet?”, Communications of the
    ACM, 46(12): 240-247
    12.Chen, L.D., Gillenson, M. L.and Sherrell, D. L.,
    (2002). “Enticing online consumers: an extended
    technology acceptance perspective”, Information &
    Management, 39(8):705-719
    13.Cho, C.H. and Leckenby, J.D., (1999). “Interactivity
    as a measure of advertising effectiveness: Antecedents
    and consequences of interactivity in web advertising”,
    Proceedings of the 1999 Conference of the American
    Academy of Advertising, Marilyn S. Roberts, ed.,
    Gainesville, FL: American Academy of Advertising, 162-
    179
    14.Clarke Ⅲ, Irvine, (2001). “Emerging Value
    Propositions for M-Commerce”, Journal of Business
    Strategies, 18(2): 133-148
    15.Coyle, J.R. and Thorson, E., (2001). “The effects of
    progressive levels of interactivity and vividness in
    web marketing sites”, Journal of Advertising, 30(3):
    65-77
    16.Cronbach, L.J., (1971). “Test Validation”, In:
    Educational Measurement, 2nd Edition, R.L. Thorndike
    (ed.), American Council on Education, Washington,
    D.C.:443-507
    17.Davis Jr., F.D., (1989). “Perceived usefulness,
    perceived ease of use, and user acceptance of
    information technology”, MIS Quarterly, 13 (3): 319-340
    18.Dholakia, R.R. and Dholakia, N., (2004). “Mobility and
    markets: emerging outlines of m-commerce”, Journal of
    Business Research, 57(12): 1391-1396
    19.Ding, X., Iijima, J. and Ho, S., (2004). “Unique
    features of mobile commerce”, Journal of electronic
    science and technology, (3)
    20.Ducoffe, R.H., (1996). “Advertising value and
    advertising on the web”, Journal of Advertising
    Research, 36(5):21-35
    21.Fang, X, Chan, S., Brzezinski, J. and Xu, S., (2005).
    “Moderating effects of task type on wireless technology
    acceptance”, Journal of Management Information
    Systems, 22(3): 123-157
    22.Fishbein, M.A., Ajzen, I., (1975). Belief, attitude,
    intention and behavior: An introduction to theory and
    research, Addison-Wesley, Reading, MA,
    23.Fornell, C.D. and F, Larcker, (1981). “Evaluating
    structural equation models with unobservable variables
    and measurement errors”, Journal of Marketing
    Research, 20: 158-166
    24.Fortin, D.R. and Dholakia, R.R., (2005).
    “Interactivity and vividness effects on social presence
    and involvement with a web-based advertisement”,
    Journal of Business Research, 58(3): 387-396
    25.Gefen, D., Karahanna, E. and Straub, D.W., (2003).
    “Trust and TAM in online shopping: An integrated
    model”, MIS Quarterly, 27(1):51-90
    26.Ha, L. and James, E.L., (1998). “Interactivity
    reexamined: A baseline analysis of early business web
    sites”, Journal of Broadcasting & Electronic Media,
    42:457-474
    27.Hair, J.F.; Anderson, R.E.; Tatham, R.L.; and Black,
    W.C., (1998). Multivariate Data
    Analysis. Englewood Cliffs, NJ: Prentice Hall
    28.Heeter, C., (1989). “Implications of new interactivity
    technologies for conceptualizing communication”, in
    Jerry Salvaggio and Jennings Bryant (eds.), Media Use
    in the Information Age, Hillisdale, NJ:Erlbaum:217-235
    29.Hoffman, D.L. and Novak, T.P., (1996). “Marketing in
    computer-mediated environments: Conceptual
    foundations”, Journal of Marketing, 60(3):50-68
    30.Huh, J., DeLorme, D.E. and Reid, L.N, (2004). “The
    information utility of DTC prescription drug
    advertising”, Journalism and Mass Communication
    Quarterly, 81(4): 788-806
    31.Hung, K., Gu, F.F and Tse, D.K., (2005). “Improving
    media decisions in China: A targetability and cost-
    benefit analysis”, Journal of Advertising, 34(1): 49-63
    32.IMAP (Innovative Interactive Mobile Advertising
    Platform) Project, (2003). Global System Framework-
    Business Model, Research Report,
    http://www.imapproject.org /imapproject/downloadroot /publi
    c1/D2.1.b%206%2002%2003.pdf, accessed 20 December 2003.
    33.Katz, E, Haas, H. and Gurevitch, M., (1973). “On the
    use of the mass media for important things”, American
    Sociological Review, 38(2):164-181
    34.Koufaris, M., (2002). “Applying the technology
    acceptance model and flow theory to online consumer
    behavior”, Information Systems Research, 13(2):205-223
    35.Lavidge, R.J. and Steiner, G.A., (1961). “A model for
    predictive measurements of advertising effectiveness”,
    Journal of Marketing, 25(Oct.): 59-62
    36.Lederer, A.L. and Sethi, V, (1991). “Critical
    dimensions of strategic information systems planning”,
    Decision Sciences, 22(2), 104-119.
    37.Lee, T., (2005). “The impact of perceptions of
    interactivity on customer trust and transaction
    intentions in mobile commerce”, Journal of Electronic
    Commerce Research, 6(3): 165-180
    38.Leppaniemi, M., Karjaluoto, H. and Salo, J., (2004).
    “The success factors of mobile advertising value
    chain”, E-Business Review ,5: 93-97
    39.Liang, T.P. and Wei, C.P., (2004). “Introduction to
    the Special Issue: Mobile Commerce Application”,
    International Journal of Electronic Commerce, 8(3): 7-17
    40.Liu, Y. and Shrum, L.J., (2002). “What is
    interactivity and is it always such a good thing?
    Implications of definition, person, and situation for
    the influence of interactivity on advertising
    effectiveness”, Journal of Advertising, 31(4): 53-64
    41.Long, J.S., (1983). Confirmatory Factory Analysis,
    Sage, Beverly Hills, CA
    42.Maddox, L.M. and Gong, W., (2005). “Effects of URLs in
    traditional media advertising in China”, International
    Marketing Review, 22(6): 673-692
    43.Manchanda, P., Dube, J.P., Goh, K.Y. and Chintagunta,
    P.K., (2006). “The effect of banner advertising on
    internet purchasing”, Journal of Marketing Research, 43
    (1): 98-108
    44.McMillan, S. and Hwang, J.S., (2002). “Measures of
    perceived interactivity: An exploration of the role of
    direction of communication, user control, and time in
    shaping perceptions of interactivity”, Journal of
    Advertising, 31(3):29-42
    45.Merriam , (2003). Merriam-Webster's Dictionary,
    America, Merriam-Webster Inc
    46.MMA (Mobile Marketing Association), (2003). Wireless
    Definitions, http://www.mmaglobal.com/about/index.html,
    accessed 28 October 2003
    47.Moon, J.W. and Kim, Y.G.., (2001). “ Extending the TAM
    for a World-Wide-Web context”, Information and
    Management, 38:217-230
    48.Mort, G.S. and Drennan, J., (2005). “Marketing m-
    services: establishing a usage benefit typology related
    to mobile user characteristics”, Database Marketing &
    Customer Strategy Management, 12(4):327-341
    49.Nunnally, J.C., (1978). Psychometric theory (2nd ed.)
    New York: McGraw-Hill
    50.Nysveen H., Pederson P.E.and Thorbjørnsen H., (2005a).
    “Explaining intention to use mobile chat services:
    Moderating effects of gender”, The Journal of Consumer
    Marketing, 22(5):247-256
    51.Nysveen, H., Pedersen, P.E., Thorbjørnsen, H. and
    Berthon, P., (2005b). “Mobilizing
    the brand: The effects of mobile services on brand
    relationships and main
    channel use”, Journal of Service Research, 7(3): 257-
    276
    52.Okazaki, S., (2004). “How do Japanese consumers
    perceive wireless ads? A multivariate analysis”,
    International Journal of Advertising, 23(4): 429-454
    Okazaki, S., (2005). “New perspectives on m-commerce
    research”, Journal of Electronic Commerce Research, 6
    (3): 160-164
    53.Ovum reports mobile/wireless, (2003).
    http://www.ovum.com/research/default.asp? topic_id=Mob
    54.Pikkarainen, T., Pikkarainen, K., Karjaluoto, H. and
    Pahnila, S., (2004). “Consumer acceptance of online
    banking: An extension of the technology acceptance
    model”, Internet Research, 14(3): 224-235
    55.Rice, R., (1984). New media technology: Growth and
    integration, in the New media: Communication, research
    and technology, Beverly HillsL (CA):Sage
    56.Salmre, I., (2005). Writing mobile code: Essential
    software engineering for building mobile applications,
    Addison Wesley Professional
    57.Scott, L.M., (1994). “The bridge from text to mind:
    adapting reader-response theory to consumer research”,
    Journal of Consumer Research, 21(3):461-80.
    58.Straub, D.W., (1989). “Validating Instruments in MIS
    Research”, MIS Quarterly, 13(2):147-170
    59.Suh, B. and Han, I., (2003). “The impact of customer
    trust and perception of security control on the
    acceptance of electronic commerce”, International
    Journal of Electronic Commerce, 7(3):135-161
    60.Siau, K., Lim, E.P. and Shen, Z., (2001). “Mobile
    Commerce: Promises, challenges, and research agenda”,
    Journal of Database Management, 12(3): 4-13
    61.Sneath, J.Z., Finney, R.Z. and Close, A.G., (2005).
    “An IMC approach to event marketing: The effects of
    sponsorship and experience on customer attitudes”,
    Journal of Advertising Research, 45(4): 373-381
    62.Standing, C., Benson, S., Karjaluoto, H., (2005).
    “Consumer perspectives on mobile advertising and
    marketing”, ANZMAC 2005 Conference, 5-7th Dec 2005,
    Fremantle WA, Australia
    63.Steuer, J., (1992). “Defining virtual reality:
    Dimensions determining telepresence”, Journal of
    Communication, 42(4):73-93
    64.Sundar, S.S., (2004). “Theorizing interactivity's
    effects”, Information Society, 20(5): 385-389
    65.Tahtinen, J., (2006). “Mobile Advertising or Mobile
    Marketing. A Need for a New Concept?”, Frontiers of e-
    Business Research 2005, Conference Proceedings of eBRF
    2005 :152-164.
    66.Tsai C.C and Tsai M.H., (2006). “The impact of message
    framing and involvement on advertising effectiveness -
    the topic of oral hygiene as an example”, Journal of
    American Academy of Business, Cambridge, 8(2): 222-227
    67.Tsang, M.M., Ho, S.C and Liang, T.P., (2004).
    “Consumer attitudes toward mobile advertising: An
    empirical study”, International Journal of Electronic
    Commerce, 8(3): 65-78
    68.Vakratsas,D. and Ma, Z., (2005). “A look at the long-
    run effectiveness of multimedia advertising and its
    implications for budget allocation decisions”, Journal
    of Advertising Research, 45(2): 241-254
    69.Varsheny, U., (2003). “Location management for mobile
    commerce applications in wireless Internet
    environment”, ACM Transactions in Internet Technology,
    3(3):236-255
    70.Van der Heijden, H., (2004). “User acceptance of
    hedonic information systems”, MIS Quarterly, 28(4):695-
    704
    71.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
    (3):425-479
    72.Wang, Y.S., Lin, H.H. and Luarn, P., (2006).
    “Predicting consumer intention to use mobile service”,
    Information Systems Journal, 16(2): 157-179
    73.Wu, G., (2000). “The role of perceived interactivity
    in interactive ad processing”, Doctoral Dissertation,
    The University of Texas at Austin, 2000.
    74.Wu, J.H. and Wang, S.C., (2005). “What drives mobile
    commerce? An empirical evaluation of the revised
    technology acceptance model”, Information &
    Management, 42(5): 719-729
    75.Zanot, E.J., (1984). “Public attitudes towards
    advertising: The American experience”, International
    Journal of Advertising, 13:3-15
    76.Zeng, E.Y., Yen, D.C., Hwang, H.G., and Huang, S.M.,
    (2003). “Mobile Commerce: The convergence of e-
    commerce and wireless technology”, International
    Journal of Advanced Media & Communications, 4(3):303-322
    77.Zoller, E. H., V.L.; and Matthews, J. (2001).
    “Wireless internet business models: Global perspective,
    regional focus”, OVUM 2001 Report, U.K. 1-64

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