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http://dx.doi.org/10.21219/jitam.2015.22.2.113

Collective Intelligence and Human Decision Bias  

Han, Joo-Hee (이화여자대학교)
Shin, Kyung-shik (이화여자대학교 경영정보시스템 전공)
Chai, Sangmi (이화여자대학교 경영정보시스템 전공)
Publication Information
Journal of Information Technology Applications and Management / v.22, no.2, 2015 , pp. 113-122 More about this Journal
Abstract
Collective intelligence can be an influential factor of decision-making based on collaboration and information exchange between individuals. Our study explores whether collective intelligence can mitigate the loss aversion effect, bias and error in human judgment, and collective intelligence in online communities can reduce the loss aversion effect. Our community settings display both individual-level and group-level loss aversion effect, investigate effective collective intelligence characteristics like investment commitment, participant experience. Using a multi-method approach our research comprises a web-based experiment with 100 participants investing 3 situations from a real-world community, data from a survey measuring loss aversion behavior of participants. The results suggest the loss aversion effect mitigates under the online-circumstance. Overall, our results suggest that, while collective intelligence mitigates the loss aversion effect, participants do not transfer these results to other settings.
Keywords
Collective Intelligence; Loss Aversion Effect; Group Decision Making Process in Face-to-Face Versus Computerized Conferences;
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