研究生: |
劉慶傑 Laosatirawong, Worawit |
---|---|
論文名稱: |
Determinants of Effective Website to Attitude toward Website and Attitude toward Advertising on Internet User: An Experimental Study of Social Network in Thailand Determinants of Effective Website to Attitude toward Website and Attitude toward Advertising on Internet User: An Experimental Study of Social Network in Thailand |
指導教授: |
陳正忠
Chen, Jeng-Chung (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: | 120 |
外文關鍵詞: | Type of banner, Web localization, Product involvement, Attitude toward the website, Attitude toward the advertising, Social network. |
相關次數: | 點閱:116 下載:1 |
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The main purpose of this experimental study is to find out the characteristics of the web site that internet users prefer. The three factors studied in this research are types of banner indicated by animation and static banner, web localization about language in the content of website, and product involvement as high and low involvement to internet user. The dependent variables measured are attitude toward the site and attitude toward the advertising. Location for doing the experiment are controllable in specific place like university in Thailand and also the respondent must be university student as well. The test was developed by real Thai camera social network website which categorize into 3 websites from very reliable sources as government. Web brand, web retailer, and web community were developed by UCINET software to create the social network in node. Stimuli website also be browsed in 24 webs and installed in each computer in the lab so that respondent did observe individually. In conclusion, the data analysis result presented that internet user play more interesting with high attitude toward the site which has positive effect to attitude toward the advertising by animation banner with local language content and high involvement product. Furthermore, the different between environment also added however, there are no significantly crucial effect between each three social network website in order to all factor effect but still be different as a whole.
Ajzen, I. (1991). The theory of planned behavior: Organizational behavior and human decision processes. Journal of Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Barker, C., Johnson, A., & Lavalette, M. (2001). Leadership and social movement. Manchester University.
Barron's Educational Series, I. (Ed.) (1987) Business Definition for Brand Attitude.
Bienstock, C., & Stafford, M. (2006). Measuring involvement with the service: A further investigation of scale validity and dimensionality. Journal of Marketing Theory and Practice, 14(3), 209-221.
Briggs, R., & Hollis, N. (1997). Advertising on the web: Is there response before click-through? Journal of Advertising Research, 37.
Bruner, & Kumar. (2000). Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1&2), 35-42.
Burke, M. K. (2001). The effect of animated banner advertisments on a visual search task.
Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210-224.
Chen, Q., Clifford, S. J., & Wells, W. D. (2002). Attitude Toward the Site II: New Information. Journal of Advertising Research, 42(2), 33-45.
Chen, Q., & Wells, W. D. (1999). Attitude toward the Site. Journal of Advertising Research, 39(5), 27-37.
CIA (Ed.) (2009) The World Factbook, from https://cia.gov/library/publications/the-world-factbook/
Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Journal of Educational Psychology Review, 3(3), 149-210.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (Second Edition ed.). London: Lawrence Erlbaum Associates.
ConsumerReport.org. (2009). Type of digital cameras [Electronic Version], from http://www.consumerreports.org/cro/electronics-computers/cameras-photography/digital-cameras/digital-camera-buying-advice/types-of-digital-cameras/digital-camera-types.htm
Coyle, J. R., & Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30(3), 65-77.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometric, 16(3), 297-334.
Crystal, D. (1997). English as a global language. ELT Journal, 53/2, 135-139.
Detenber, B. H., Simons, R. F., & Bennett, G. G. (1998). Roll 'em!: The effects of picture motion on emotional responses. Journal of Broadcasting and Electronic Media, 42.
Dufour, R., & Kroll, J. F. (1995). Matching words to concepts in two languages: A test of the concept mediation model of bilingual representation. Journal of Memory and Cognition, 23(2), 166-180.
Dunn, S. C., Seaker, R. F., & Waller, M. A. (1994). Latent variables in business logistics research: Scale development and validation. Journal of Business Logistics, 15(2), 145-172.
Durgunoglu, A. Y., & Roediger, H. L. (1987). Test differences in accessing bilingual memory. Journal of Memory and Language, 26, 377-391.
Fink, D., & Laupase, R. (2000). Perceptions of web site design characteristics: A Malaysian/Australian comparison. Internet Research: Electronic Networking Applications and Policy, 10(1), 44-55.
Fox, J. R., Lang, A., Chung, Y., Lee, S., Schwartz, N., & Potter, D. (2004). Picture this: Effects of graphics on the processing of television news. Journal of Broadcasting and Electronic Media, 48.
Garner, M. P. (1985). Does attitude toward the ad affect brand attitude under a brand evaluation set? Journal of Marketing Research, 22, 192-198.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Journal of Management Science, 28, 725-737.
Geissler, G. L., Zinkhan, G. M., & Watson, R. T. (2006). The influence of home page complexity on consumer attention, attitudes, and purchase intent. Journal of Advertising, 35(2), 69-80.
George, G. (2003). Interactive social networking industry analysis using the value framework. Californiao. Document Number)
Gillespie, D. F., & Glisson, C. (1992). Quantitative methods in social work: State of the art (Vol. 16): The Haworth Press, Inc.
Grefenstette, G., & Nioche, J. (2000). Estimation of English and non-English language use on the www. Journal of Computation and Language, 237-246.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall.
Harari, T. T. E.-., Lampert, S. I., & Wilzig, S. L.-. (2007). Information processing of advertising among young people: The elaboration likelihood model as applied to youth. Journal of Advertising research, 326-340.
Heo, N., & Sundar, S. S. (2000). Emotional responses to web advertising: The effects of animation, position, and product involvement on physiological arousal. Paper presented at the Annual Conference of the Association for Education in Journalism and Mass Communication.
Hitchon, J. C., & Thorson, E. (1995). Effects of emotion and product involvement on the experience of repeated commercial viewing. Journal of Broadcasting and Electronic Media, 39, 376-389.
Hofacker, C. F., & Murphy, J. (1998). World Wide Web banner advertisement copy testing. European Journal of Marketing, 32(7/8), 703-712.
Hogg, M. A. (2001). A social identity theory of leadership. Journal of Personality and Social Psychology, 5(3), 184-200.
InternetWorldStats. (2009). Internet world users by language top 10 languages.
Kaye, B. K., & Medoff, N. J. (2001). World Wide Web: A mass communication perspective: McGraw-Hill Higher Education.
Keillor, B. D., Hult, T. M., Erffmeyer, R. C., & Babakus, E. (1995). NATID: the development and application of a national identity measure for use in international marketing. Journal of International Marketing, 4(2), 57-73.
Kilduff, M., & Tsai, W. (2003). Social network and organizations. London, SAGE Publication Ltd.
Kozlen, K. (2006). The value of banner advertising on the web. University of Missouri-Columbia.
Lastovicka, J. L. (1979). Questioning the concept of involvement defined product classes. Journal of Consumer Behavior, 6(1), 174-179.
Li, H., & Bukovac, J. L. (1999). Cognitive impact of banner ads characteristics: An experimental study. Journalism and Mass Communication Quarterly, 76(2), 341-353.
Li, H., Daugherty, T., & Biocca, F. (2002). Impact of 3-D advertising on product knowledge, brand attitude, and purchase intension: The mediating role of presence. Journal of Advertising, 31(3), 43-57.
Li, H., & Leckenby, J. D. (2004). Internet advertising formats and effectiveness. Michigan State University.
LISA. (2009). Frequently asked questions: LISAo. Document Number)
Luna, D., Peracchio, L. A., & Juan, M. D. d. (2002). Cross-cultural and cognitive aspects of web site navigation. Journal of Academy of Marketing Science, 30(4), 397-410.
Manager. (2005). IT city believe the trend of digital camera is continously increase. Manager, from http://www.gotomanager.com/news/details.aspx?id=38618
McMillan, S. J., Hwang, J.-S., & Lee, G. (2003). Effects of structural and perceptual factor on attitudes toward the website. Journal of Advertising Research, 400-409.
Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude? Journal of Marketing Research, 18(3), 318-332.
Moore, R. S., Stammerjohan, C. A., & Coulter, R. A. (2005). Banner advertiser: Web site context congruity and color effects on attention and attitudes. Journal of Advertising, 34(2), 71-84.
NECTEC. (2006). Thai internet user's demographic [Electronic Version], from http://www.nectec.or.th/index.php
NECTEC. (2010). In-depth, recognized, and trustworthy. from http://truehits.net/
Novak, T. P., Hoffman, D. L., & Yung, Y.-F. (1998). Measuring the flow construct in online environments: A structural modeling approach. University of North Carolina.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory: McGRAW-HILL, Inc.
O’Keefe, D. J. (2003). Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research. Journal of Communication Theory, 13(3), 251-274.
Paivio, A. (1991). Dual coding theory: Retrospect and current status. Journal of Psychology/ Revue Canadienne de Psychologie, 45(3), 255-287.
Petty, R. E., & Cacioppo, J. T. (1979). Issue involvement can increase or decrease persuasion by enchancing message-relevant cognitive response. Journal of Personality and Social Psychology, 37(10), 1915-1926.
Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration likelihood model of persuasion. Journal of Social Psychology, 19, 124-192.
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10, 135-146.
Phau, I., & Chan, K.-W. (2003). Targeting East Asian markets: A comparative study on national identity. Journal of Targeting, Measurement and Analysis for Marketing, 12(2), 157-172.
Phillips, B., & Lee, W.-N. (2005). Interactive animation: Exploring spokes-characters on the internet. Journal of Current Issues and Research in Advertising, 27(1), 1-17.
Poh, D. M. H. (2001). An exploratory investigation of attitude toward the website and the advertising hierarchy of effects. Deakin University.
Reeves, B., & Clifford, I. (1996). The media equation: How people treat computers, television, and new media like real people and places. In (pp. 305). Chicago: Cambridge University Press.
Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Stanford: CSLI Publications and Cambridge University Press.
Rettie, R. (2001). An exploration of flow during Internet use. Internet Research: Electronic Networking Applications and Policy, 11(2), 103-113.
Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Criteria for scale selection and evaluation: Academic Press, Inc.
Rossiter, J. R., Percy, L., & Donovan, R. J. (1991). A better advertising planning grid. Journal of Advertising Research, 11-21.
Rust, R. T., & Oliver, R. W. (1994). The death of advertising. Journal of Advertising, 23(4), 71-77.
Sackmary, B., & Scalia, L. M. (1999). Cultural patterns of World Wide Web business sites: A comparison of Mexican and U.S. companies.
Seibert, S. E., & Kraimer, M. L. (2001). A Socail capital theory of career success. The Academy of Management Journal, 44(2), 219-237.
Shavitt, S., Lowrey, P., & Haefner, J. (1998). Public attitudes toward advertising: More favorable than you might think. Journal of Advertising, 7-22.
Sherif, M. (1947). The psychology of ego involvement: Social attitudes and identifications. New York.
Silverman, D. (2009). IAB internet advertising revenue report: PriceWaterHouseCoopers. (I. A. Bureau o. Document Number)
Simon, S. J. (2001). The impact of culture and gender on web sites: An empirical study. journal of Information System, 32(1).
Singh, N., & Boughton, P. D. (2005). Measuring website globalization: A cross-sectional country and industry level analysis Journal of Website Promotion, 1(3), 3-20.
Singh, N., Fassott, G., Zhao, H., & Boughton, P. D. (2006b). A cross-cultural analysis of German, Chinese, and Indian consumers’ perception of web site adaptation. Journal of Comnsumer Behaviour, 5, 56-68.
Singh, N., Furrer, O., & Ostinelli, M. (2004). To localize or to standardize on the Web: empirical evidence from Italy, India, Netherlands, Spain, and Switzerland. Multinational Business Review, 12(1), 69.
Snodgrass, J. G. (1984). Concepts and their surface representations. Journal of Verbal Learning and Verbal Behavior, 23(1), 3-22.
Solomon, M. R. (2003). Consumer behavior: buying, having and being. New Jersey: Prentice Hall.
Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
Sundar, S. S., & Kalyanaraman, S. (2004). Arousal, memory, and impression: Formation effects of animation speed in web advertising. Journal of Advertising, 33(1), 7-17.
Warkentin, M. E., Sayeed, L., & Hightower, R. (1997). Virtual teams versus face-to-face teams: An exploratory study of a web-based conference system. 28(4), 975-996.
Warrington, P., & Shim, S. (2000). An empirical investigation of the relationship between product involvement and brand commitment. Journal of Psychology and Marketing, 17(9), 761-782.
Wikipedia (2009). Thailand. Wikipedia: The free encyclopedia. from http://en.wikipedia.org/wiki/Thailand
Winit, W., Gregory, G., & Mascio, R. D. (2006). An assessment and improvement of the National Identity Scale (NATID): Evidence from Thailand. Journal of International Marketing, 1182-1189.
Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352.