| 研究生: |
魏威廉 Flores, William |
|---|---|
| 論文名稱: |
The Effect of Types of Banner Ad, Shapes of Banner Ad, Types of Product’s Ad, Language of Advertising, on Internet Users’ Attitudes: A Case of
Users in Ecuador The Effect of Types of Banner Ad, Shapes of Banner Ad, Types of Product’s Ad, Language of Advertising, on Internet Users’ Attitudes: A Case of Users in Ecuador |
| 指導教授: |
陳正忠
Chen, Victor |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 國際經營管理研究所碩士班 Institute of International Management (IIMBA--Master) |
| 論文出版年: | 2010 |
| 畢業學年度: | 98 |
| 語文別: | 英文 |
| 論文頁數: | 99 |
| 外文關鍵詞: | Types of text ad, Types of banner ad, Type of products ads, Advertising language, Attitude towards the web site, Attitude towards the brand |
| 相關次數: | 點閱:87 下載:0 |
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The Internet is the most rapidly growing source of information on almost any subject (Sewak, Wilkin, Bentley, & Smith, 2005). While every day a growing number of companies choose to have their own website, the forms of web advertising are becoming more diverse and the use of blogs and personal websites has helped boost advertising, nowadays the creation of websites and the housing of advertising from outside Websites is something already common for everyone. The rapid development of the Internet has had an enormous impact on traditional media, and has revolutionized commercials. Many enterprises have adopted the Internet in the marketing and sales of products and today the web is an important advertising medium (Wu, Wei, & Chen, 2006).
For this study I have taken the specific case of Internet users in Ecuador also to understand a bit more about the impact of Internet on this South American country, and the internet users‘ behavior in Ecuador. This study is focus on the user‘s attitudes to the Website and Brand, measuring the effect of banners on the Web sites by analyzing 4 independent variables, the Types of Banner Ad, The shapes of banner Ad, Types of Products Ads and Advertising Language, Web site positioning, and having as dependent variables Trust Attitude toward the Website and Attitude toward the Brand.
Ajzen, I., & Fishbein, M. (1977). Attitude–behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888–918.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior (Vol. 10): Prentice-Hall
Barrett, L. (2004). Individual differences in working memory capacity and dual-process theories of the mind. Psychological Bulletin, 130, 553-573.
Benway, J., & Lane, D. (1998). Banner blindness: Web searchers often miss "obvious" links. Internet Technical Group, Rice University, 20.
Cai, Y., Wang, W., Gong, X., Li, Y., & Chen, C. (2008). Mobile e-commerce model based on social network analysis. China Universities of Posts and Telecommunications, 15, 79–83.
Chen, Clifford, & Wells. (2002). Attitude toward the site II: new information. Journal of Advertising Research, 42, 33-45.
Chen, & Wells. (1999). Attitude toward the site. Journal of Advertising Research, 39, 27-37.
Doyle, K., Minor, A., & Weyrich, C. (1997). Banner ad placement study. University of Michigan, 45.
Drèze, X., & Hussherr, F.-X. (2003). Internet advertising: is anybody watching? Journal of Interactive Marketing, 17, 8-24.
Elberse, A., & Anand, B. (2007). The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market. Information Economics and Policy, 19, 319–343.
Feld, S. (1997). Network analysis using the method of path lists: Testing the weak ties hypothesis. Social Networks, 19, 97-111.
Freeman, L., Webster, C., & Kirke, D. (1998). Exploring social structure using dynamic three-dimensional color images. Social Networks, 20, 109–118.
Hamulic, I., & Bijedic, N. (2009). Social network analysis in virtual learning community at faculty of information technologies (fit), mostar. Procedia Social and Behavioral Sciences, 1, 2269–2273.
Hanneman, R. (2005). Introduction to social network methods (Vol. 20). Riverside: University of California.
Hu, C., & Racherla, P. (2008). Visual representation of knowledge networks: A social network analysis of hospitality research domain. International Journal of Hospitality Management, 27, 302–312.
Hussain, R., Sweeneyb, A., & Mort, G. S. (2010). Typologies of banner advertisements' attributes: A content analysis. Journal of Promotion Management, 16, 1049-6491.
Janiszewski, C. (1990). The influence of non attended material on the processing of advertising claims. Journal of Marketing Research, 27, 263-278.
Johanson, J. (2000). Formal structure and intra-organisational networks: An analysis in a combined social and health organisation in Finland. Scand. J. Mgmt, 16, 249-267.
Joy, A., Sherry, J., & Deschenes, J. (2009). Conceptual blending in advertising. Journal of Business Research, 62, 39-49.
Kalmijn, M., & Vermunt, J. (2007). Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks. Social Networks, 29, 25–43.
Kang, Y.-S., & Kim, Y. J. (2005). Do visitors’ interest level and perceived quantity of web page content matter in shaping the attitude toward a web site? Elsevier Science Publishers B. V. , 42, 1187– 1202.
Lau, A., & Tsui, E. (2009). Knowledge management perspective on e-learning effectiveness. Knowledge-Based Systems, 22, 324–325.
Lee, B.-K., Hong, J.-Y., & Lee, W.-N. (2004). How attitude toward the web site influences consumer brand choice and confidence while shopping online. Computer-Mediated Communication.
Lei, R. (2000). An assessment of the world wide web as an advertising medium. The Social Science Journal, 37(3), 465–471.
Luna, D., PeracchioM, L., & Juan, M. D. (2003). The impact of language and congruity on persuasion in multicultural e-marketing Consumer pychology, 13, 41-50.
Mchirgui, Z. (2007). The smart card firms’network positions: A social network analysis. European Management Journa, 25(1), 36–49.
Mitchell, A., & Olson, J. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude? Journal of Marketing Research (JMR), 18, 318-332.
Pecheux, C., & Derbaix, C. (1999). Children and attitude toward the brand: A new measurement scale. Advertising Research, 7.
Richard, M., & Chandra, R. (2005). A model of consumer web navigational behavior: conceptual development and application. Business Research, 58, 1019– 1029.
Sewak, S., Wilkin, N., Bentley, J., & Smith, M. (2005). Direct-to-consumer advertising via the internet: The role of web site design. Research in Social and Administrative Pharmacy, 1, 289-309.
Spears, N., & Singh, S. (2004). Measuring attitude toward the brand and purchase intentions. Current Issues & Research in Advertising, 26(2), 53-66.
Sternitzke, C., Bartkowski, A., & Schramm, R. (2008). Visualizing patent statistics by means of social network analysis tools. World Patent Information, 30, 115–131.
Stevenson, J., Bruner, G., & Kumar, A. (2000). Web page background and viewer attitudes. Advertising Research, 20, 29-34.
Toral, S., Martínez, M., & Barrero, F. (2009). Analysis of virtual communities supporting OSS projects using social network analysis. Information and Software Technology, 52.
Vonresena, D., & Vonriesen, C. (2001). An Investigation of attitude toward the brand, commitment, and true brand loyalty in a cross-cultural context. Journal of East-West Business, 7, 37 — 64.
Wu, S., Wei, P., & Chen, J. (2006). Influential factors and relational structure of internet banner advertising in the tourism industry. Tourism Management, 29, 15.
Yang, K. (2006). The influence of humanlike navigation interface on users responses to Internet advertising. Telematics and Informatics, 23, 38–55.
Yang, W., & Dia, J. (2008). Discovering cohesive subgroups from social networks for targeted advertising. Expert Systems with Applications, 34, 2029–2038.
Yuan, S. (2003). A recommendation mechanism for contextualized mobile advertising. Expert Systems with Applications, 24, 399–414.
Zamora, J., & Kuri, J. (2000). The Latin America internet report [Electronic Version]. Equity Research,
Zhao, L., & Nagurney, A. (2007). A network equilibrium framework for internet advertising: Models, qualitative analysis, and algorithms. European Journal of Operational Research, 187, 456–472.
校內:2020-01-01公開