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 proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationProceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
DOIs
StatePublished - 2009
Externally publishedYes
Event42nd Annual Hawaii International Conference on System Sciences, HICSS - Waikoloa, HI, United States
Duration: Jan 5 2009Jan 9 2009

Other

Other42nd Annual Hawaii International Conference on System Sciences, HICSS
CountryUnited States
CityWaikoloa, HI
Period1/5/091/9/09

Fingerprint

Recommender systems
Industry
Profitability

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

Cite this

Chen, P., 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 [4755611] 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.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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