텍스트마이닝 기법을 이용한 공급사슬 리스크 유발요인의 도출과 분석에 관한 연구

초록

An introduction of a SCM into a modern business environment brought many advantages. However, companies have been facing a new operating crisis due to the complicated SCM, and an advent of the SCM causes new types of risks which we have never experienced before. In a supply chain, a risk management strategy refers basically to identifying supply chain risk, a risk measurement, a risk classification by an impact level affecting stable supply chain operations, and the last step for developing action plans to mitigate or remove the risks. It normally involves assessing possibilities of the risks for a long-term, a middle-term and short-term plan, prioritizing the risk through a classification and analysis of an impact on a supply chain flexibility. In this study, a supply chain risk driver(SCRD), which is a source factor of risks in a supply chain, has been discussed. We first extracted and analyzed 133 SCRDs from 10,181 articles published during the past four decades, using a text mining technique, based on the two dimensions o f supply chain processes and general business attributes. And then we analyzed the SCRDs based on GRI(generalized rule induction). It is a very useful work, because it is clear that a risk cannot be managed if the cases are not clarified. Although we acknowledge that new risks may appear according to a rapidly changing business environment, it is not removed or mitigated if a direct or even for indirect causes are not cleared. Our work can give a correct answer to this agony.

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