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Journal of Statistical Computing and Algorithm

Volume 2, No. 1, 2018, pp 1-6
http://dx.doi.org/10.21742/jsca.2018.2.1.01

Abstract



Decision support system for industrial structure analysis based on data



    Ji Hui Kim, Seung-pyo Jun, Hyoung Sun Yoo
    Korea Institute of Science and Technology Information
    kjh@kisti.re.kr

    Abstract

    The main purpose of this study is to help companies to make decisions about R&D planning, technology commercialization and market entry after new product development through analyzing the factors of external environment, market concentration and competition. In particular, it is also to provide more objective and reliable information based on data such as the competition situation, economic and technical factors in the specific industry. The industry-market information used in this study were analyzed by annual sales of companies in the applicable industry, and subdivided by KSIC(Korea Standard Industry Classification). Results obtained from this study were applied to an analysis module of KMAPS, an industry and market intelligence system. In consequence, it is identified to be useful for the decision making and be able to carry out automatically 5FORCE analysis which is one of the most difficult contents during environmental analysis.


 

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