1,009
Views
16
CrossRef citations to date
0
Altmetric
ARTICLES

Familiarity, Beliefs, Attitudes, and Consumer Responses Toward Online Advertising in China and the United States

&
Pages 127-138 | Published online: 19 Apr 2010
 

ABSTRACT

This study investigated the relationships among consumers' familiarity with online advertising, beliefs about online advertising effectiveness, attitudes toward online advertising (ATOA), and consumer responses across the United States and China. Results indicated, for U.S. consumers, familiarity was a positive predictor of online shopping but not a significant predictor of persuasion. For Chinese consumers, familiarity was a positive predictor of persuasion but not a significant predictor of online shopping. Familiarity did not influence any belief factors in the U.S. sample but emerged as a significant predictor of all five belief factors in the Chinese sample. For both samples, ATOA positively predicted persuasion, which by default positively predicted online shopping. Multiple group comparison further showed that the influence of ATOA on persuasion for U.S. consumers was stronger than that for Chinese consumers.

This study was supported by research grants (EYH 3353048 and KBH 3353557) awarded to the first author. The first author also would like to extend his thanks to Professor Tong Bing, director of the State Innovative Institute for Media Society at Fudan University.

Notes

p < .05;

∗∗∗p < .001.

p < .05;

p < .01;

∗∗∗p < .001.

p < .05; N.S. = not statistically significant.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 417.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.