Community-based recommender systems: Analyzing business models from a system operator's perspective

Pei Yu Chen; Yen Chun Chou; Robert J. Kauffman

doi:10.1109/HICSS.2009.117

Community-based recommender systems: Analyzing business models from a system operator's perspective

Pei Yu Chen, Yen Chun Chou, Robert J. Kauffman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

Past research has shown that corporations benefit from using community-based recommender systems. Through them, they create digitized word-of-mouth that helps consumers make purchase decisions. While there exists much literature on the effects of recommender systems, to our knowledge, no prior studies have examined the underlying business models, nor have they considered the roles of system operators and the process for these recommender systems to achieve profitability. Based on our synthesis of relevant theory, we propose a framework for evaluating the value of recommender system business models from the viewpoint of system operators. We discuss patterns and situational characteristics that are associated with the business value of consumer-generated content and the concomitant profits of system operators.

Original language	English (US)
Title of host publication	Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
DOIs	https://doi.org/10.1109/HICSS.2009.117
State	Published - 2009
Externally published	Yes
Event	42nd Annual Hawaii International Conference on System Sciences, HICSS - Waikoloa, HI, United States Duration: Jan 5 2009 → Jan 9 2009

Publication series

Name	Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS

Other

Other	42nd Annual Hawaii International Conference on System Sciences, HICSS
Country/Territory	United States
City	Waikoloa, HI
Period	1/5/09 → 1/9/09

Keywords

Business value
Community-based recommender systems
Recommender systems
System operators
Theory development
Virtual communities
Word-of-mouth

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Access to Document

10.1109/HICSS.2009.117

Cite this

Chen, P. Y., Chou, Y. C., & Kauffman, R. J. (2009). Community-based recommender systems: Analyzing business models from a system operator's perspective. In Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS Article 4755611 (Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS). https://doi.org/10.1109/HICSS.2009.117

Community-based recommender systems: Analyzing business models from a system operator's perspective. / Chen, Pei Yu; Chou, Yen Chun; Kauffman, Robert J.
Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS. 2009. 4755611 (Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, PY, Chou, YC & Kauffman, RJ 2009, Community-based recommender systems: Analyzing business models from a system operator's perspective. in Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS., 4755611, Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS, 42nd Annual Hawaii International Conference on System Sciences, HICSS, Waikoloa, HI, United States, 1/5/09. https://doi.org/10.1109/HICSS.2009.117

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Community-based recommender systems: Analyzing business models from a system operator's perspective

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Keywords

ASJC Scopus subject areas

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