A study on value chain analysis model based on inter-company transactions information

Abstract

Background/Objectives: 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.