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Sustainability 2015, 7(12), 16720-16736; doi:10.3390/su71215844

A Novel Forecasting Methodology for Sustainable Management of Defense Technology

1
Department of Industrial Management Engineering, Korea University, Seoul 136-701, Korea
2
Department of Statistics, Cheongju University, Chungbuk 363-764, Korea
3
Graduate School of Management of Technology, Korea University, Seoul 136-701, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Ioppolo
Received: 14 October 2015 / Revised: 7 December 2015 / Accepted: 15 December 2015 / Published: 18 December 2015
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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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. View Full-Text
Keywords: technology level forecasting; sustainable defense technology management; Delphi; growth curve; patents; technology evaluation; C4I technology level forecasting; sustainable defense technology management; Delphi; growth curve; patents; technology evaluation; C4I
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MDPI and ACS Style

Kim, S.; Jang, D.; Jun, S.; Park, S. A Novel Forecasting Methodology for Sustainable Management of Defense Technology. Sustainability 2015, 7, 16720-16736.

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