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공급사슬 관점에서 기업 위험의 계량적 추정

Title
공급사슬 관점에서 기업 위험의 계량적 추정
Other Titles
Quantitative Estimation of Firm’s Risk from Supply Chain Perspective
Author
한현수
Keywords
Firm risk; Supply Chain; Industry Input-Output; Big Data Application; Steel industry; Quantitative Analysis
Issue Date
2015-06
Publisher
한국데이타베이스학회/한국정보기술응용학회
Citation
Journal of Information Technology Applications & Management, v. 22, NO 2, Page. 201-217
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.
URI
http://www.dbpia.co.kr/Article/NODE06403792http://hdl.handle.net/20.500.11754/25062
ISSN
1598-6284
Appears in Collections:
GRADUATE SCHOOL OF BUSINESS[S](경영전문대학원) > BUSINESS ADMINISTRATION(경영학과) > Articles
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