원문정보
Collective Intelligence and Human Decision Bias
초록
영어
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.
목차
1. 서론
2. 이론적 고찰과 가설설정
2.1 개인 집단 수행수준의 차이가 손실회피현상에 미치는 영향
2.2 온라인 및 오프라인 환경에서의 집단 수행수준이 손실회피현상에 미치는 영향
3. 연구 방법
3.1 연구 대상
3.2 측정 도구의 구성 및 자료 분석 방법
4. 연구 결과
5. 결론 및 토의
참고문헌