Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Sustainability  /  Vol: 7 Núm: 12 Par: Decembe (2015)  /  Artículo
ARTÍCULO
TITULO

A Novel Forecasting Methodology for Sustainable Management of Defense Technology

Sungchul Kim    
Dongsik Jang    
Sunghae Jun and Sangsung Park    

Resumen

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.

 Artículos similares

       
 
Dongsheng Li, Jinfeng Ma, Kaifeng Rao, Xiaoyan Wang, Ruonan Li, Yanzheng Yang and Hua Zheng    
Accurate rainfall prediction remains a challenging problem because of the high volatility and complicated essence of atmospheric data. This study proposed a hybrid model (DSP) that combines the advantages of discrete wavelet transform (DWT), support vect... ver más
Revista: Water

 
Yen-Chang Chen, Hui-Chung Yeh, Su-Pai Kao, Chiang Wei and Pei-Yi Su    
In this study, a novel model that performs ensemble empirical mode decomposition (EEMD) and stepwise regression was developed to forecast the water level of a tidal river. Unlike more complex hydrological models, the main advantage of the proposed model ... ver más
Revista: Hydrology

 
Markus Frohmann, Manuel Karner, Said Khudoyan, Robert Wagner and Markus Schedl    
Recently, various methods to predict the future price of financial assets have emerged. One promising approach is to combine the historic price with sentiment scores derived via sentiment analysis techniques. In this article, we focus on predicting the f... ver más

 
Ming Lu and Qian Xie    
Forecasting tourism volume can provide helpful information support for decision-making in managing tourist attractions. However, existing studies have focused on the long-term and large-scale prediction and scarcely considered high-frequency and micro-sc... ver más

 
Mst. Shapna Akter, Hossain Shahriar, Reaz Chowdhury and M. R. C. Mahdy    
Forecasting the risk factor of the financial frontier markets has always been a very challenging task. Unlike an emerging market, a frontier market has a missing parameter named ?volatility?, which indicates the market?s risk and as a result of the absen... ver más
Revista: Future Internet