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Displacement and Reinforcement Effects of the Internet and Other Media as Sources of Advertising Information

Published online by Cambridge University Press:  12 May 2004

JAMES C. TSAO  and
STANLEY D. SIBLEY
JAMES C. TSAO
Affiliation:
University of Wisconsin-OshkoshTsao@Uwosh.edu
STANLEY D. SIBLEY
Affiliation:
University of Wisconsin-OshkoshSibleys@northnet.net
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Abstract

This study measured to what extent consumers used the internet to displace or reinforce the use of other media as sources of advertising information. The sample was 2,032 households from 5,031 households randomly selected from a midwestern state. The results showed that although internet advertising provided many unique features, it has not displaced most media as sources of advertising information. Many consumers found that internet advertising was a complementary medium based on their favorable attitudes or frequent use of other media advertising. The research also indicated that the reinforcement effects will be likely more evident for the future use of internet advertising associated with the use of billboards, direct mail, magazines, and television. However, the displacement effects may continue to occur for the future use of internet advertising associated with the future use of free community papers and weekly paid papers as advertising sources.

Type
Research Article
Information
Journal of Advertising Research , Volume 44 , Issue 1 , March 2004 , pp. 126 - 142
Copyright
© Copyright © 1960-2004, The ARF

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References

REFERENCES

Aaker, D. Building Strong Brands. New York: Free Press, 1996.
Allen, C.T., and T.J. Madden. “A Closer Look at Classical Conditioning.” Journal of Consumer Research 12, 3 (1985): 301–15.Google Scholar
Bouvard, P., and J. Noel. The Arbitron Outdoor Study: Outdoor Media Consumers and Their Crucial Role in the Media Mix. [Online study: 〈http://www.Arbitron.com/downloads/outdoorstudy.pdf/〉], 2001.
Coulson, D., S. Lacy, and J. Wilson. “Weekly Newspapers—Solid Industry with Many Variations.” Newspaper Research Journal 22, 3 (2001): 16–29.Google Scholar
Dawidowska, K. “Surfing 9-to-5.” American Demographics May 2002.Google Scholar
Denham, B.E. “Advanced Categorical Statistics: Issues and Applications in Communication Research.” Journal of Communication 51, 1 (2002): 162–76.Google Scholar
Dimmick, J., and E. Rothenbuhler. “The Theory of the Niche: Quantifying Competition among Media Industries.” Journal of Communication 34, 1 (1984): 103–19.Google Scholar
Donthu, N., and A. Garcia. “The Internet Shopper.” Journal of Advertising Research 39, 3 (1999): 52–58.Google Scholar
Everitt, B.S. The Cambridge Dictionary of Statistics. Cambridge, UK: Cambridge University Press, 1998.
Ferguson, D.A., and E.M. Perse. “The World Wide Web as a Functional Alternative to Television.” Journal of Broadcasting and Electronic Media 44, 2 (2000): 155–74.Google Scholar
Fetto, J. “Internet Interest Dips.” American Demographics, June 2002a.Google Scholar
Fetto, J. “Teen Chatters.” American Demographics, June 2002b.Google Scholar
Fishbein, M., and I. Ajzen. Belief, Attitude, Intention and Behaviors: An Introduction to Theory and Research. Reading, MA: Addison-Wesley Publishing Company, 1975.
Fletcher, A. Target Marketing through the Yellow Pages. Yellow Pages Publishers Association, 1991.
Geller, M. “Off to a Start.” MediaPost's Media, February 2002.Google Scholar
Grimes, M. “Online Advertising Boot Camp: Take No Prisoners.” iMarketing News, August 1999.Google Scholar
Hawley, A.H. “Human Ecology.” In International Encyclopedia of the Social Sciences, D.L. Sills, ed. New York: Macmillan, 1968.
Hays, S. “Byting Back.” MediaPost's Media, April 2002.Google Scholar
Honeycutt, J.M., and J.G. Cantrill. “Using Expectations of Relational Actions to Predict Number of Intimate Relationships: Don Juan and Romeo Unmasked.” Communication Reports 44, 1 (1991): 14–21.Google Scholar
Howard, J.A., and J.N. Sheth. The Theory of Buyer Behavior. New York: Wiley Publishing, 1969.
Kayany, J.M., and P. Yelsma. “Displacement Effects of Online Media in the Socio-Technical Contexts of Households.” Journal of Broadcasting and Electronic Media 44, 2 (2000): 215–29.Google Scholar
Laroche, M., F. Pons, and A. Turmel. “A Cross-Cultural Comparison of Direct Mail Receptivity.” Journal of International Consumer Marketing 14, 4 (2002): 5–24.Google Scholar
Lee, W., and C.Y. Kuo. “Internet and Displacement Effect: Children's Media Use and Activities in Singapore.” Journal of Computer-Mediated Communication (USA) 9, 2 (2002): [Online journal 〈http://www.ascusc.org/jcmc/vol7/issue2/〉].Google Scholar
Leong, E.K.F., X. Huang, and P. Stanners. “Comparing the Effectiveness of the Web Site with Traditional Media.” Journal of Advertising Research 38, 5 (1998): 44–49.Google Scholar
Lin, C.A. “Exploring the Role of VCR Use in the Emerging Home Entertainment Culture.” Journalism Quarterly 70, 4 (1993): 833–42.Google Scholar
Lin, C.A. “Online-Service Adoption Likelihood.” Journal of Advertising Research 39, 2 (1999): 79–89.Google Scholar
Loechner, J. “Behind the Numbers: Internet Use.” MediaPost's Media, March 2002.Google Scholar
McQuail, D. Mass Communication Theory. London: Sage Publications, 1994.
Mediapost. “Top Traditional Advertisers Use Non-Standard Ad Dimensions on the Internet,” April 15, 2003: [URL: http://www.mediapost.com/research/cfmr_briefArchive.cfm?s=201960], retrieved June 9, 2003.
Mediapost. “US Online Consumer Spending Hits a New High,” July 31, 2002: [URL: http://www.mediapost.com/research/cfmr_briefArchive.cfm?s=176802], retrieved June 9, 2003.
Menard, S. Applied Logistic Regression Analysis. Thousand Oaks, CA: Sage Publications, 2002.
Napoli, J., and M.T. Ewing. “The Net Generation: An Analysis of Lifestyles, Attitudes, and Media Habits.” Journal of International Consumer Marketing 13, 1 (2001): 21–33.Google Scholar
Pampel, F.C. Logistic Regression: A Primer. Thousand Oaks, CA: Sage Publications, 2000.
Perse, E.M., and J.A. Courtright. “Normative Images of Communication Media: Mass and Interpersonal Channels in the New Media Environment.” Human Communication Research 19, 4 (1993): 485–503.Google Scholar
Prasad, V.K., and L.J. Smith. “Television Commercials in Violent Programming: An Experimental Evaluation of Their Effects on Children.” Journal of the Academy of Marketing Science 22, 4 (1994): 340–51.Google Scholar
Preston, I.L. “The Association Model of the Advertising Communication Process.” Journal of Advertising 11, 2 (1982): 3–15.Google Scholar
Russell, J.T., and W.R. Lane. Principles of Advertising. Upper Saddle River, NJ: Prentice Hall, 2002.
Severin, W.J., and J.W. Tankard, Jr. Communication Theories. New York: Longman, 1988.
Stempel, G.H., T. Hargrove, and J.P. Bernt. “Relation of Growth of Use of the Internet to Changes in Media Use from 1995 to 1999.” Journalism and Mass Communication Quarterly 77, 1 (2000): 71–79.Google Scholar
Taylor, C.P. “Cross-Media: Traditional Advertisers Taking Baby Steps Online.” MediaPost's Media, March 2002.Google Scholar
Vaughn, R. “How Advertising Works: A Planning Model.” Journal of Advertising Research 20, 5 (1980): 27–33.Google Scholar
Vaughn, R. “How Advertising Works: A Planning Model Revisited.” Journal of Advertising Research 26, 1 (1986): 57–66.Google Scholar