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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Choi, Jeongsub
dc.contributor.author
Jeong, Myong Kee
dc.contributor.author
Kim, Byunghoon
dc.contributor.author
Lee, Ho-Shin
dc.date.accessioned
2022-03-11T04:58:54Z
dc.date.available
2022-03-11T04:58:54Z
dc.date.issued
2019-08-20
dc.identifier.issn
0018-9391
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16322
dc.description.abstract
Identifying competitors is an essential first step in creating a competitive advantage to generate superior business performance. Diverse methods for competitor identification have been introduced in the literature, but financial transactions are overlooked in these models even though such transactions among firms, as the basic economic unit of interfirm business activities, contain critical information. This article proposes a novel method for the identification of firm-level competitors using a network constructed from financial transactions among firms.We propose network-theoretic similarity measures to quantify the resource similarity and market commonality between firms by considering both direct and indirect transactions in a transaction network. Then, based on the two dimensions, three types of competitors are identified with respect toafocalfirm:direct,potential,andindirect competitors. The proposed method is applied to toy network data and a real-world case that includes the financial transactions of firms in Korea in 2014.
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.relation.ispartofseries
IEEE transactions on engineering management;
dc.title
A Novel Method for Identifying Competitors Using a Financial Transaction Network
dc.identifier.doi
10.1109/TEM.2019.2931660
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2022-03-11T04:58:54Z
dc.date.datesubmitted
2022-03-11T04:58:54Z
dc.subject.keyword
경쟁자분석
dc.subject.keyword
빅데이터 분석
dc.subject.keyword
거래관계
dc.subject.keyword
네트워크분석
dc.subject.keyword
밸류체인
dc.subject.keyword
Competitors
dc.subject.keyword
Bigdata
dc.subject.keyword
Transaction
dc.subject.keyword
Network
dc.subject.keyword
Value Chain
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
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