A novel forecasting methodology for sustainable management of defense technology

Sungchul Kim, Dong Sik Jang, Sunghae Jun, Sangsung Park

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

A dynamic methodology for sustainable management of defense technology is proposed to overcome the limitations of the static methodology, which involves comparative analysis based on the criterion of the highest technology level and has limitations for time series analysis, because the country with the highest level undergoes technical changes over time. To address these limitations, this study applies a technology growth model for a dynamic analysis of the Delphi result. An effective method using patents is also proposed to verify and adjust the analysis results. First, technology levels of the present and future are examined by the Delphi technique, and the growth curve is extracted based on the technology growth model. Second, the technology growth curve based on patents is extracted using the annual number of unexamined and registered patents related to the technology. Lastly, the statistical significance of the two growth curves is examined using regression analysis. Then the growth curves are adjusted by the rate of increase in patents. This methodology could provide dynamic technology level data to facilitate sustainable management of defense technology. The results could be useful to research institutions, as they establish strategies for securing technologies in defense or private domains.

Original languageEnglish
Pages (from-to)16720-16736
Number of pages17
JournalSustainability (Switzerland)
Volume7
Issue number12
DOIs
Publication statusPublished - 2015

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methodology
management
growth curve
patent
defence
time series analysis
high technology
research institution
statistical significance
Time series analysis
dynamic analysis
Regression analysis
Dynamic analysis
regression analysis
present

Keywords

  • C4I
  • Delphi
  • Growth curve
  • patents
  • Sustainable defense technology management
  • Technology evaluation
  • Technology level forecasting

ASJC Scopus subject areas

  • Management, Monitoring, Policy and Law
  • Renewable Energy, Sustainability and the Environment
  • Geography, Planning and Development

Cite this

A novel forecasting methodology for sustainable management of defense technology. / Kim, Sungchul; Jang, Dong Sik; Jun, Sunghae; Park, Sangsung.

In: Sustainability (Switzerland), Vol. 7, No. 12, 2015, p. 16720-16736.

Research output: Contribution to journalArticle

Kim, Sungchul ; Jang, Dong Sik ; Jun, Sunghae ; Park, Sangsung. / A novel forecasting methodology for sustainable management of defense technology. In: Sustainability (Switzerland). 2015 ; Vol. 7, No. 12. pp. 16720-16736.
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