A Study on Value Chain Analysis Model based on Inter-Company Transactions Information
Tae-Eung Sung1, Kanghoe Kim2, Young-Su Moon3, Ho-Shin Lee4
1Tae-Eung Sung, Associate Professor, Department of Computer and Telecommunications Engineering, College of Science and Technology, Yonsei University, Yonseidae-gil, Wonju, Gangwon-do, Republic of Korea.
2Kanghoe Kim, Principal Researcher, SMEs Support Center, Korea Institute of Science and Technology Information, Hoegiro, Dongdaemun-gu, Seoul, Republic of Korea.
3Young-Su Moon, Principal Researcher, SMEs Support Center, Korea Institute of Science and Technology Information, Hoegiro, Dongdaemun-gu, Seoul, Republic of Korea.
4Ho-Shin Lee, Principal Researcher, SMEs Support Center, Korea Institute of Science and Technology Information, Hoegiro, Dongdaemun-gu, Seoul, Republic of Korea.
Manuscript received on 01 January 2019 | Revised Manuscript received on 06 January 2019 | Manuscript Published on 07 April 2019 | PP: 357-364 | Volume-8 Issue- 3C January 2019 | Retrieval Number: C10780183C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For understanding the industrial structure and developing new products of a firm, we propose the value chain analysis model based on real data of firms’ transactions. Methods/Statistical analysis: Utilizing real data of inter-company sales transaction and aggregated big data up to about 28 million cases with a firm’s representative product and trademarks, we designed a pilot system to visualize the value chain network relationship where an arrowed line means the direction of service or goods and size of a node concentration of a transaction, respectively. Findings: By analyzing the demander information of competitors, which produce the same or similar products, it is possible to discover new sales distributors. In a reverse way, we could find new suppliers from company information which produces sub-products or lower leveled modules. For researchers or engineers, it can be the idea source for new product development by analyzing other products produced by competitors that produce the same product, furthermore we are able to apply to various business models or organizational roles such as research and development, marketing, purchasing, and management by concretized value chain network relationship. Improvements/Applications: The data used in the study is taken from the entire population, thus we need to generalize the findings and implications fit to both the entire firms and the entire transactions information.
Keywords: Value Chain Analysis Model, Inter-Company Transactions Information, Product Deal Relationship, Extraction of Potential Supplier/Demander, Competitors by Product or Industry.
Scope of the Article: Security Technology and Information Assurance