• 제목/요약/키워드: collective intelligence

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집단지성(Collective Intelligence)과 의사결정의 편향성 (Collective Intelligence and Human Decision Bias)

  • 한주희;신경식;채상미
    • Journal of Information Technology Applications and Management
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    • 제22권2호
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    • pp.113-122
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    • 2015
  • 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.

대중 집단지성의 사용자 수용 모형에 관한 연구 (A Study on the User Acceptance Model of Mass Collective Intelligence)

  • 이형용;안현철
    • Journal of Information Technology Applications and Management
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    • 제17권4호
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    • pp.1-17
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    • 2010
  • As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

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집단지성과 성과창출을 위한 통합적 개념틀 검토 (An Integrative Framework for Creating Collective Intelligence and Enhancing Performance)

  • 추철호;류수영
    • 지식경영연구
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    • 제19권3호
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    • pp.173-187
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    • 2018
  • This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

소셜네트워크를 이용한 집단지성 측정연구 (A Study on Measurement of Collective Intelligence using Business Management Game)

  • 윤호성;이기동
    • 디지털융복합연구
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    • 제9권2호
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    • pp.53-63
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    • 2011
  • 소셜네트워크를 통해 각 개인들은 정보를 공유하고, 이러한 공유된 정보와 지식을 바탕으로 집단지성은 형성되고 성장한다. 본 연구는 집단의 능력이라 할 수 있는 집단지성을 측정하고, 집단지성의 형성과정을 관찰하는 것이 목적으로, 5개의 실험집단을 형성하여 기업 경영게임을 실시하게 하였고 집단이 게임을 이용해 수행해야 하는 과업을 주었다. 또한 각 구성원간 소통할 수 있는 네트워크 공간을 만들어 주었으며, 기업경영게임을 통한 과업을 실시하는 동안 네트워크 공간에서 각 구성원간 상호작용과 피드백의 빈도 및 집단의 참여율을 관찰하였다. 연구결과 집단마다 상이한 게임성과를 얻었으며, 5개의 집단의 게임성과의 평균을 기준으로 성과가 높은 집단과 낮은집단으로 나누어 t-test한 결과 상호작용과 피드백의 빈도 및 집단지성참여에 유의미한 차이를 보였다.

지식검색 서비스에서 집단지성 품질이 지속사용 의도에 미치는 영향: 기대일치이론과 신뢰를 중심으로 (The Effects of Confirmation in Collective Intelligence Quality on Continuance Intention through Trust)

  • 김진완;홍태호
    • 한국정보시스템학회지:정보시스템연구
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    • 제20권4호
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    • pp.1-22
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    • 2011
  • This study addressed trust to collective intelligence for explaining the affecting factors to the intention to use of collective intelligence by dividing the object of trust into a Web site and an information source group. We explored the factors affecting user's continuance intention toward collective intelligence in the view off trust building. We made a well-structured survey of our proposed model and gained 205 cases. We analyzed the proposed research model empirically using partial least square method. The findings are summarized as follows. First, all key factors (relevance, timeless, completeness, understandability) composing of collective intelligence quality have a positive and significant impact on confirmation. Second, confirmation has a significant impact on trust toward a Web site, as well as toward an information source group. The last is that trust toward a Web site influences on continuance intention, whereas trust toward an information source group doesn't.

대학 협력학습에서 개인창의성, 팀신뢰, 팀효능감 및 집단지성의 구조적 관계 (The Structural Relationship among Individual Creativity, Team Trust, Team Efficacy and Collective Intelligence in Collaborative Learning at Universities)

  • 송윤희
    • 융합정보논문지
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    • 제10권9호
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    • pp.173-182
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    • 2020
  • 최근 대학수업에서 공유된 교육목표를 토대로 집단을 이루어 함께 학습하는 협력학습이 강조되고 있으며 그에 따른 집단지성에 대한 관심이 확산되고 있다. 이에 따라 협력학습에서 집단지성을 높일 수 있는 변인에 대한 연구의 필요성도 확대되고 있다. 본 연구는 학습자의 개인변인으로 개인창의성, 팀관련 변인으로 팀신뢰와 팀효능감, 학습성과변인으로 집단지성을 선정하여 구조적 관계를 살펴보았다. 이를 위해 협력학습에 참여한 경기지역 A대학교, 대전지역 H대학교 및 충청지역 K대학교의 학부생 770명을 대상으로 자료를 수집하였으며 구조방정식을 통해 변인 간의 관련성을 분석하였다. 연구결과, 개인창의성은 팀효능감과 집단지성에 긍정적 영향을 미쳤으며 팀신뢰는 팀효능감과 집단지성에 긍정적 영향을 미쳤다. 또한 팀효능감은 집단지성에 긍정적 영향을 미쳤다. 본 연구는 향후 대학 협력학습의 수업설계 및 운영전략을 수립하기 위한 기초자료로 활용될 수 있을 것이다.

집단지성 플랫폼으로서의 소셜미디어 : 커뮤니케이션 유형별 실험 분석 (Social Media as a Platform of Collective Intelligence : An Exploratory Analysis Based on Communication Types)

  • 김태원;김상욱
    • 한국IT서비스학회지
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    • 제12권3호
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    • pp.127-149
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    • 2013
  • Is the social web environment in which production, distribution and consumption of information occurs from users an environment where manifestation of collective intelligence is easily made? Or is the social web environment a condition that incites people to depend on the groupthink due to biased information? It is important to conduct empirical studies on the possibility of social media as a tool of collective intelligence under the situation where conflicting opinions prevail. However, most of the existing studies related to this were limited to an exploratory research rather than an empirical research. In this regard, this study attempted to examine if the social media can perform a part as a platform of the collective intelligence empirically. Based on the experimental results, it can be safely said that the communication methods of social media showed its usefulness in both 'intellectual capacity of the group' and 'problem-solving skill of the group.'

A Study of Establishing a Web Model of Historical and Geographical Information for Youths through 'Collective Intelligence' -Junior Maphistory e-encyclopedia

  • BANG, Mi-Hyang
    • Educational Technology International
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    • 제9권1호
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    • pp.49-77
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    • 2008
  • As clearly suggested in the case of Wikipedia, collective intelligence is predicted to develop into the most important platform of knowledge and information in the future society. But it just remains at the level of activities for group projects in the present frame of education and so it doesn't lead to creating collective intelligence. This study looks into an 'information repository model of collective intelligence' that makes it possible to deliver an education process a priori of Shared Knowledge Reservoir to "Junior Digital Nomad", who is definitely and will be in existence, and that further enables them to be active there in reality. Based on this storage model, it suggests a practicable web system model; Junior Maphistory e-encyclopedia, which is appropriately consistent with the features of Web 2.0 and can grow into a general historical and geographical information service.

스마트워크 품질이 집단지성 및 직무만족에 미치는 영향 (The Effect of Smart Work Quality on Collective Intelligence and Job Satisfaction)

  • 김현철;김오우
    • 유통과학연구
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    • 제13권5호
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    • pp.113-120
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    • 2015
  • Purpose - As the rapid development of ICT has been made recently, many domestic companies are trying to introduce smart work infrastructure. The purpose of institution of smart work is to enhance their performance. To this end, it is necessary to advance the way of working. Developing employees' collective intelligence should be regarded as a prerequisite for advancing the way of working. Job satisfaction of the employees is another important factor to enhance organizational performance. So this study aims to provide the theoretical background of systematic approach to smart work quality by empirically analyzing the effect of smart work quality on collective intelligence and job satisfaction. Research design, data, and methodology - A structural equation model was designed to examine cause-and-effect relationships among three latent variables(smart work quality, collective intelligence, job satisfaction). Three hypotheses were formulated. The first hypothesis is that the effect of smart work quality on collective intelligence will be positively and statistically significant. Likewise, the second hypothesis is that the effect of smart work quality on job satisfaction will be positively and statistically significant. Finally, the third hypothesis is that the effect of collective intelligence on job satisfaction will be positively and statistically significant. Based on the previous researches, 34 questionnaire items were developed to measure the effect of the three variables. The survey was conducted on 162 employees who are working under smart work environment. The number of the effective questionnaires for the analysis was 154. PASW Statistics 18 and AMOS 18 were used for the statistical analysis. Results - The validity and reliability test for questionnaire items have been carried out. From the factor analysis, 1 out of 34 items was eliminated. As a result, 33 out of 34 items were used for analyzing. The values of Cronbach's α ranged from 0.701 to 0.910, indicating the acceptable reliability of the questionnaire items. The values of χ2, df, CFI, TLI, RMSEA of the model are 102.838, 51, 0.949, 0.935, 0.082, respectively. So the structural equation model was statistically significant. The first and third hypotheses were supported. But the second hypothesis was rejected. Conclusions - An analysis using structural equation model showed meaningful implications about the effect of smart work quality on collective intelligence and job satisfaction. First, as the five quality elements of the smart work improved, the level of collective intelligence increased. Second, the statistical analysis showed smart work didn't have a direct effect on job satisfaction, which is inconsistent with the prior findings. The main purpose of smart work is to help achieve greater performance. The companies also need to make efforts to improve job satisfaction of their employees along with achieving greater performance. Third, an organization with higher level of collective intelligence showed greater job satisfaction. The companies under smart work environment need to develop functions to encourage participation, sharing, openness, and collaboration. This research will provide useful information for the companies which want to introduce smart work, distribution information system, management information system, etc.

대학생의 협력학습에서 감성지능, 의사소통능력, 집단지성, 학습만족도 및 학습지속의향 간의 구조적 관계 (The Structural Relationships among Emotional Intelligence, Communication Ability, Collective Intelligence, Learning Satisfaction and Persistence in Collaborative Learning of the College Classroom)

  • 송윤희
    • 융합정보논문지
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    • 제10권1호
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    • pp.120-127
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    • 2020
  • 본 연구의 목적은 대학생의 협력학습에서 학습성과를 향상시키는 변인을 살펴보기 위해 학습자 변인으로 감성지능, 학습과정 변인으로 의사소통능력과 집단지성, 학습성과 변인으로 학습만족도와 학습지속의향을 선정하여 각 변인간의 구조적 관계를 규명하였다. 수도권 소재 A대학교 3,475명의 자료를 활용하였으며 자료는 구조방정식을 활용하여 분석하였다. 연구결과, 감성지능은 의사소통능력, 집단지성, 학습만족도, 학습지속의향에 정적 영향을 미쳤으며, 의사소통능력은 집단지성과 학습지속의향에 정적 영향을 미쳤다. 집단지성은 학습만족도와 학습지속 의향에 정적 영향을 미쳤으며 학습만족도는 학습지속의향에 정적 영향을 미쳤다. 본 연구결과는 대학생의 협력학습에서 학습성과를 향상시키는 변인들 간의 구조적 관계를 밝힘으로써 협력학습의 기초자료를 제공할 수 있을 것이다.