공급사슬 관점에서 기업 위험의 계량적 추정Quantitative Estimation of Firm’s Risk from Supply Chain Perspective
- Other Titles
- Quantitative Estimation of Firm’s Risk from Supply Chain Perspective
- Authors
- 박근영; 한현수
- Issue Date
- Jun-2015
- Publisher
- 한국데이터전략학회
- Keywords
- Firm risk; Supply Chain; Industry Input-Output; Big Data Application; Steel industry; Quantitative Analysis
- Citation
- Journal of Information Technology Applications & Management, v.22, no.2, pp.201 - 217
- Indexed
- KCI
- Journal Title
- Journal of Information Technology Applications & Management
- Volume
- 22
- Number
- 2
- Start Page
- 201
- End Page
- 217
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157016
- DOI
- 10.21219/jitam.2015.22.2.201
- ISSN
- 1598-6284
- Abstract
- In this paper, we report computational testing result to examine the validity of firm’s bankruptcy risk estimation through quantification of supply chain risk. Supply chain risk in this study refers to upstream supply risk and downstream demand risk, To assess the firm’s risk affected by supply chain risk, we adopt unit of analysis as industry level. since supply and demand relationships of the firm could be generalized by the industry input-output table and the availability of various valid economic indicators which are chronologically calculated. The research model to estimate firm’s risk level is the linear regression model to assess the industry bankruptcy risk estimation of the focal firm’s industry with the independent variables which could quantitatively reflect demand and supply risk of the industry. The publicly announced macro economic indicators are selected as the candidate independent variables and validated through empirical testing. To validate our approach, in this paper, we confined our research scope to steel industry sector and its related industry sectors, and implemented the research model. The empirical testing results provide useful insights to further refine the research model as the valid forecasting mechanism to capture firm’s future risk estimation more accurately by adopting supply chain industry risk aspect, in conjunction with firm’s financial and other managerial factors.
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