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Multimedia-based interactive advising technology for online consumer decision support

Authors:

Zhenhui Jiang,

Weiquan Wang,

Izak BenbasatAuthors Info & Claims

Communications of the ACM, Volume 48, Issue 9

Pages 92 - 98

https://doi.org/10.1145/1081992.1081995

Published: 01 September 2005 Publication History

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Abstract

Multimedia technologies (such as Flash and QuickTime) have been widely used in online product presentation and promotion to portray products in a dynamic way. The continuous visual stimuli and associated sound effects provide vivid and interesting product presentations; hence, they engage online customers in examining products. Meanwhile, recent research has indicated that online shoppers want detailed and relevant product information and explanations [2]. A promising approach is to embed rich product information and explanations into multimedia-enhanced product demonstrations. This approach is called Multimedia-based Product Annotation (MPA), a product presentation in which customers can retrieve embedded product information in a multimedia context.

References

[1]

Ariely, D. Controlling the information flow: Effects on consumers' decision making and preferences. J. Consum. Res. 27 (Sept. 2000), 233--248

Crossref

Google Scholar

[2]

Burke, R.R. Technology and the customer interface: what consumers want in the physical and virtual store. J. Acad. Marketing Sci. 30, 4 (2002), 411--432.

Crossref

Google Scholar

[3]

Jiang, Z. and Benbasat, I. Virtual product experience: effects of visual and functional control of products on perceived diagnosticity and flow in electronic shopping. J. Manage. Inf. Syst. 21, 3 (Winter 2005), 111--148.

Digital Library

Google Scholar

[4]

Lim, K. H., Benbasat, I., and Ward, L. W. The role of multimedia in changing first impression bias. Inf. Syst. Res. 22, 2 (June 2000), 115--136.

Digital Library

Google Scholar

[5]

Maes, P., Guttman, R. H., and Moukas, A. G. Agents that buy and sell. Commun. ACM 42, 3 (March 1999), 81--91.

Digital Library

Google Scholar

[6]

Mao, J. and Benbasat, I. The effects of contextualized access to knowledge on judgment. Int. J. Human-Comput. Stud. 55 (2001), 787--814.

Digital Library

Google Scholar

[7]

Nelson, P. Advertising as information. J. Polit. Econ. 83, (July/Aug. 1974), 729--754.

Google Scholar

[8]

Norman, D. A. The Invisible Computer: Why Good Products Can Fail, the Personal Computer is So Complex, and Information Appliances are the Solution. MIT Press, Cambridge, MA, 1998.

Digital Library

Google Scholar

[9]

Reeves, B. and Nass, C. The Media Equation: How People Treat Computers, Televisions, and New Media Like Real People and Places. Cambridge University Press, Cambridge, UK, 1996.

Digital Library

Google Scholar

[10]

Russo, J. E. Aiding purchase decisions on the Internet. In Proceedings of the Winter 2002 SSGRR International Conference on Advances in Infrastructure for Electronic Business, Education, Science, and Medicine on the Internet. V. Milutinovic, Ed. (L'Aquila, Italy, 2002).

Google Scholar

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Wang QLi XYan XLi R(2024)How to enhance consumers’ purchase intention in live commerce? An affordance perspective and the moderating role of ageElectronic Commerce Research and Applications10.1016/j.elerap.2024.10143867(101438)Online publication date: Sep-2024
https://doi.org/10.1016/j.elerap.2024.101438
Mamaro LSibindi A(2023)The Drivers of Successful Crowdfunding Projects in Africa during the COVID-19 PandemicJournal of Risk and Financial Management10.3390/jrfm1607033216:7(332)Online publication date: 13-Jul-2023
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Chen JHa QVu M(2022)The Influences of Virtual Reality Shopping Characteristics on Consumers’ Impulse Buying BehaviorInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209856639:17(3473-3491)Online publication date: 24-Jul-2022
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Multimedia-based interactive advising technology for online consumer decision support

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Published In

Communications of the ACM Volume 48, Issue 9

Special issue: RFID

September 2005

109 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1081992

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 September 2005

Published in CACM Volume 48, Issue 9

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Mamaro LSibindi A(2023)The Drivers of Successful Crowdfunding Projects in Africa during the COVID-19 PandemicJournal of Risk and Financial Management10.3390/jrfm1607033216:7(332)Online publication date: 13-Jul-2023
https://doi.org/10.3390/jrfm16070332
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Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix

Loyalty programs and dynamic consumer preference in online markets

Understanding price/value rating in online consumer review

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