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커뮤니케이션 네트워크에서 불확실성이 집단응집력에 미치는 영향

An Impact of Communication Networks on Group Cohesiveness under Uncertainty

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주제분류경영학

초록

본 연구에서는 의사소통을 하는 과정에서 커뮤니케이션 네트워크가 집단응집력에 어떤 영향을 미치는지를 알아보고자 하였다. 본 연구에서는 네트워크의 집중도에 따라 바퀴형, 원형, 완전연결형의 세 가지 네트워크를 구분하여 집단응집력에 대한 효과를 연구하였다. 그 결과, 집단응집력은 네트워크의 집중도가 가장 낮은 완전연결형에서 가장 높게 나타났으며, 그 다음으로 원형에서 높게 나타나고 바퀴형에서 가장 집단응집력이 낮게 나타났다. 그러나 분산형 네트워크에서 참여도가 다른 원형과 완전연결형 간에서는 집단응집력이 차이를 보이지 않았다. 하지만 이전의 연구에서 네트워크를 두 부류로 분리한 집중형과 분산형 간의 비교분석에서 분산형 네트워크가 집중형 네트워크보다 집단응집력이 더 높게 나타났다. 본 연구는 커뮤니케이션 네트워크에서 불확실성의 상황변수가 집단응집력에 영향을 미친다는 사실을 규명하였으며, 이러한 집단응집력에 대한 불확실성의 효과는 불확실성 감소이론으로 설명할 수 있음을 밝혔으며, 집중형 네트워크는 과업 응집력이 작용하고 분산형 네트워크는 사회 응집력이 작용한다는 것을 규명하였다

Abstract

The purpose of this study was to investigate the effects of communication networks on group cohesiveness under situation of uncertainty in four-person groups. The communication networks were divided into wheel, circle and concom according to centrality. The uncertainty was manipulated by varying stimulus ambiguity. The group cohesiveness produced significant difference among three networks. The higher group cohesiveness was presented in the order of concom, circle and wheel network. The communication networks were classified into two classes according to relative centrality. The wheel network was classified into centralization network, whereas the circle and concom network were classified into decentralization network. The group cohesiveness did not produced significant difference between circle and concom. But there was significant difference in terms of group cohesiveness between centralization network and decentralization network. That is, the decentralizatin network was related with higher group cohesiveness than the centralization network. The communication networks affected differently on group cohesiveness according to the degree of uncertainty. The higher group cohesiveness was presented in the order of wheel, circle, and concom under certainty situation, whereas it was in the order of concom, circle and wheel under uncertainty situation. The group cohesiveness did not show significant difference between circle network and concom network according to the degree of uncertainty. But the group cohesiveness showed significant difference between centralization network and decentralization network according to the degree of uncertainty. That is, the centralization network showed higher cohesiveness than decentralization network under certainty situation, whereas the decentralization network showed higher cohesiveness than centralization network under uncertainty situation. As a result, the uncertainty affected group cohesiveness in communication network. The decentralized communication network is more effective than centralized communication network under uncertainty. The interaction effect of uncertainty and communication networks on group cohesiveness can be explained by uncertainty reduction theory.

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