소셜 및 베이지안 네트워크 관점의 공급망 리스크 분석
Supply Network Risk Analysis from Social and Bayesian Network Perspectives
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참고문헌
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초록
오늘날 기업은 다양한 리스크에 노출됨에 따라 공급망 리스크 관리는 매우 중요한 사안이 되었다. 특히 공급망 리스크로인한 공급 단절은 구매기업에 있어 매우 심각한 영향을 줄 수 있어 다양한 관점에서 공급망 리스크에 대한 연구가 진행되었다. 하지만 이들 연구는 주로 소셜 네트워크 관점에서 공급망 내 공급업체의 위치에 따른 중심성을 바탕으로 공급 단절리스크가 높은 공급업체들을 파악하였지만, 해당 공급업체들의 단절 리스크를 계량적으로 측정하지는 않은 한계가 있었다. 따라서 본 연구는 기존 소셜 네트워크 관점의 공급업체의 단절 리스크에 대한 연구를 베이지안 네트워크를 적용하여 이론적으로 확장하고 발전시키고자 하였다. 즉, 베이지안 네트워크를 적용하여 공급업체의 공급망 내 단절 리스크를 확률적으로 측정하고 공급업체의 공급 단절이 공급망의 초점기업에게 미치는 리스크 임팩트를 계량적으로 측정하였다. 이를 통해초점기업이 효과적인 공급망 리스크 관리를 위해 주목해야 할 임계 공급업체들의 네트워크 속성과 이에 대한 시사점을 제시하고자 하였다.
Abstract
As firms are exposed to various risks, supply network risk management has become important. Previous studies have conducted supply network risk research from various perspectives, particularly due to the severity of supply disruption to buying firms. While the existing studies have identified those suppliers based on centrality measures of their positions in the supply network mostly from the social network perspective, there was also a limitation in quantitatively assessing the suppliers’ disruption risk in the network. Therefore, this study intended to theoretically expand and develop the study on the supply network risk from the existing social network perspective by applying the Bayesian network analysis. So we used the Bayesian network analysis to quantitatively assess the suppliers’ disruption risk in the supply network and measure their risk impact on the focal firm. Through it, we identified the network properties of the critical suppliers that the focal firm should pay attention to for its effective supply network risk management and suggested related insights.
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