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INTERNET USES AND GRATIFICATIONS: A Structural Equation Model of Interactive Advertising
Abstract
This study investigates the interactivity construct in terms of its antecedents (i.e., motivations for using the Internet) and consequences (i.e., attitude toward the site, attitude toward the brand, and purchase intention). A structural equation model was developed for an empirical test, based on uses and gratification theory applied to the interactivity context. A sample of 385 college students in the United States and Korea participated in the experiment. The findings suggest that consumers who have high information motivations are more likely to engage in human-message interaction on a Web site, whereas social interaction motivations are more strongly related to human-human interaction. Both human-message and human-human interactions had a positive effect on attitude toward the site, which leads to positive attitude toward the brand and purchase intention.
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Citations
Cites
Defining virtual reality: Dimensions determining telepresence
Steuer, J. (1992) · Journal of Communication · doi:10.1111/j.1460-2466.1992.tb00812.x · Cited by 5,459
Uses and Gratifications Theory in the 21st Century
Ruggiero, T. E. (2000) · Mass Communication and Society · doi:10.1207/s15327825mcs0301_02 · Cited by 2,810 · cited 3×
“The rapid growth of the Internet has strengthened the potency of uses and gratification theory because this medium requires a higher level of interactivity from its users in comparison with other traditional media (Ruggiero 2000).”
BackgroundThe role of involvement in attention and comprehension processes
Celsi, R. L., & Olson, J. C. (1988) · Journal of Consumer Research · doi:10.1086/209158 · Cited by 2,070
The Role of Theory in Uses and Gratifications Studies
Blumler, J. G. (1979) · Communication Research · doi:10.1177/009365027900600102 · Cited by 904
Interactivity: a concept explication
Kiousis, S. (2002) · New Media & Society · doi:10.1177/146144480200400303 · Cited by 666
Profiling User Responses to Commercial Websites
Eighmey, J. (1997) · Journal of Advertising Research · doi:10.1080/00218499.1997.12466673 · Cited by 458
How Advertising Works on the WWW: Modified Elaboration Likelihood Model
Cho, C.-H. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505087 · Cited by 281
Self-citationLin, C. A. (1996) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838159609364379 · Cited by 158
Cited by
Why people use social media: a uses and gratifications approach
Whiting, A., & Williams, D. (2013) · Qualitative Market Research: An International Journal · doi:10.1108/qmr-06-2013-0041 · Cited by 1,810
Introducing COBRAs: Exploring motivations for brand-related social media use
Muntinga, D. G., Moorman, M., & Smit, E. G. (2011) · International Journal of Advertising · doi:10.2501/ija-30-1-013-046 · Cited by 1,468
Understanding the appeal of user-generated media: a uses and gratification perspective
Shao, G. (2009) · Internet Research · doi:10.1108/10662240910927795 · Cited by 1,162
Kim, Y., Sohn, D., & Choi, S. M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.015 · Cited by 856
Chen, G. M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.10.023 · Cited by 747
Social media engagement behaviour: a uses and gratifications perspective
Dolan, R., Conduit, J., Fahy, J., & Goodman, S. (2016) · Journal of Strategic Marketing · doi:10.1080/0965254x.2015.1095222 · Cited by 720
Xu, H., Luo, X. (., Carroll, J. M., & Rosson, M. B. (2011) · Decision Support Systems · doi:10.1016/j.dss.2010.11.017 · Cited by 708
Pictures speak louder than words: motivations for using Instagram
Lee, E., Lee, J.-A., Moon, J. H., & Sung, Y. (2015) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2015.0157 · Cited by 589
Lien, C. H., & Cao, Y. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.08.013 · Cited by 513
Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization
Kim, Y. J., & Han, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.015 · Cited by 454
Beyond buying: Motivations behind consumers' online shopping cart use
Close, A. G., & Kukar-Kinney, M. (2010) · Journal of Business Research · doi:10.1016/j.jbusres.2009.01.022 · Cited by 339
Khang, H., Kim, J. K., & Kim, Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.027 · Cited by 326
The role of stress and motivation in problematic smartphone use among college students
Wang, J.-L., Wang, H.-Z., Gaskin, J., & Wang, L.-H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.005 · Cited by 317
Hyun Baek, T., & Kim, M. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102030 · Cited by 319
Marketing research using single-item indicators in structural equation models
Petrescu, M. (2013) · Journal of Marketing Analytics · doi:10.1057/jma.2013.7 · Cited by 279
Lee, J. A., Sudarshan, S., Sussman, K. L., Bright, L. F., & Eastin, M. S. (2022) · International Journal of Advertising · doi:10.1080/02650487.2021.1964226 · Cited by 265
Gao, Q., & Feng, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.022 · Cited by 219
Examining the antecedents and consequences of mobile app engagement
Kim, S., & Baek, T. H. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.10.008 · Cited by 203
Falgoust, G., Winterlind, E., Moon, P., Parker, A., Zinzow, H., & Chalil Madathil, K. (2022) · Human Factors in Healthcare · doi:10.1016/j.hfh.2022.100014 · Cited by 190
Calder, B. J., Isaac, M. S., & Malthouse, E. C. (2016) · Journal of Advertising Research · doi:10.2501/jar-2015-028 · Cited by 169
Bae, M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.026 · Cited by 157
(2009) · Cited by 154
(2010) · Swinburne figshare (Swinburne University of Technology) · Cited by 151
The Effectiveness of Advertising: A Meta-Meta-Analysis of Advertising Inputs and Outcomes
Eisend, M., & Tarrahi, F. (2016) · Journal of Advertising · doi:10.1080/00913367.2016.1185981 · Cited by 140
The effects of gratifications, flow and satisfaction on the usage of livestreaming services
Hsu, C. L., & Lin, J. C.-C. (2023) · Library Hi Tech · doi:10.1108/lht-02-2021-0069 · Cited by 68
The association between excessive social media use and distraction: an eye movement tracking study
Xie, J.-Q., Rost, D. H., Wang, F.-X., Wang, J.-L., & Monk, R. L. (2021) · Information & Management · doi:10.1016/j.im.2020.103415 · Cited by 56
How event information is trusted and shared on social media: a uses and gratification perspective
Kim, S.-E., Kim, H. L., & Lee, S. (2021) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2021.1943600 · Cited by 53
Al-Muwil, A., Weerakkody, V., El-haddadeh, R., & Dwivedi, Y. (2019) · Information Systems Frontiers · doi:10.1007/s10796-019-09914-0 · Cited by 52
Exploring uses and gratifications and psychological outcomes of engagement with Instagram Stories
Lu, J.-D. (., & Lin, J.-S. (. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100198 · Cited by 46
Impact of online social media activities on marketing of green products
Gupta, M., & Syed, A. A. (2022) · International Journal of Organizational Analysis · doi:10.1108/ijoa-02-2020-2037 · Cited by 46
The Relationship between E-Lifestyle and Internet Advertising Avoidance
Abedini Koshksaray, A., Franklin, D., & Heidarzadeh Hanzaee, K. (2015) · Australasian Marketing Journal · doi:10.1016/j.ausmj.2015.01.002 · Cited by 37
Kresin, S., Kremer, K., & Büssing, A. G. (2024) · Science Education · doi:10.1002/sce.21855 · Cited by 32
Petrič, G. (2024) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.349225 · Cited by 10
Metadata
- Authors
- Ko, H., Cho, C.-H., & Roberts, M. S.
- Venue
- Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2005-06
- Volume
- 34
- Issue
- 2
- Pages
- 57-70
- ISSN
- 0091-3367 (ISSN-L)
- 1557-7805
- OpenAlex
- W2037883762
- Cited by
- 950
- References
- 8
- FWCI
- 47.21
- Type
- journal article
- Language
- en
- Open access
- closed
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