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A Study on the Finding of Promising Export Items in Defense industry for Export Market Expansion-Focusing on Text Mining Analysis-

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(10), pp.235-243
  • DOI : 10.9708/jksci.2022.27.10.235
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 22, 2022
  • Accepted : October 13, 2022
  • Published : October 31, 2022

Seoyoon Yeo 1 Jonghee Jeong 2 Seong Ho Kim 2

1국방기술진흥연구소
2경상국립대학교

Accredited

ABSTRACT

This paper aims to find promising export items for market expansion of defense export items. Germany, the UK, and France were selected as export target countries to obtain unstructured forecast data on weapons system acquisition plans for the next ten years by each country. Using the TF-IDF in text mining analysis, keywords that appeared frequently in data from three countries were derived. As a result of this paper, keywords for each country's major acquisition projects drawing. However, most of the derived keywords were related to mainstay weapon systems produced by domestic defense companies in each country. To discover promising export items from text mining, we proposed that the drawn keywords are distinguished as similar weapon systems. In addition, we assort the weapon systems that the three countries will get a plan to acquire commonly. As a result of this paper, it can be seen that the current promising export item is a weapon system related to the information system. Prioritizing overseas demands using key words can set clear market entry goals. In the case of domestic companies based on needs, it is possible to establish a specific entry strategy. Relevant organizations also can provide customized marketing support.

Citation status

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