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dc.contributor.author한현수-
dc.date.accessioned2017-01-11T06:43:43Z-
dc.date.available2017-01-11T06:43:43Z-
dc.date.issued2015-06-
dc.identifier.citationJournal of Information Technology Applications & Management, v. 22, NO 2, Page. 201-217en_US
dc.identifier.issn1598-6284-
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE06403792-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/25062-
dc.description.abstractIn 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.en_US
dc.description.sponsorship본 논문은 2014년 한양대학교 교내연구비지원사업으로 연구되었음(HY-2014).en_US
dc.language.isoko_KRen_US
dc.publisher한국데이타베이스학회/한국정보기술응용학회en_US
dc.subjectFirm risken_US
dc.subjectSupply Chainen_US
dc.subjectIndustry Input-Outputen_US
dc.subjectBig Data Applicationen_US
dc.subjectSteel industryen_US
dc.subjectQuantitative Analysisen_US
dc.title공급사슬 관점에서 기업 위험의 계량적 추정en_US
dc.title.alternativeQuantitative Estimation of Firm’s Risk from Supply Chain Perspectiveen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume22-
dc.relation.page201-217-
dc.relation.journalJournal of Information Technology Applications & Management-
dc.contributor.googleauthor박근영-
dc.contributor.googleauthor한현수-
dc.contributor.googleauthorPark, Keun-Young-
dc.contributor.googleauthorHan, Hyun-Soo-
dc.relation.code2015040343-
dc.sector.campusS-
dc.sector.daehakSCHOOL OF BUSINESS[S]-
dc.sector.departmentDIVISION OF BUSINESS ADMINISTRATION-
dc.identifier.pidhshan-
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GRADUATE SCHOOL OF BUSINESS[S](경영전문대학원) > BUSINESS ADMINISTRATION(경영학과) > Articles
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