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Hwang, Gyu-Hee;Lee, Joong-Man
- Journal of Korea Technology Innovation Society
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- v.13 no.3
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- pp.399-422
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- 2010
Global expansion of regulation for carbon emission has brought new industrial regulations and trade barriers while the global economy is promoting economic stimulus through a variety of green investments such as renewable energy development, energy efficiency increase, and environmental improvement simultaneously. Korean government is trying to seek a new opportunity to grow through green investment in this change of business environment and businesses are facing the transition to low-carbon and eco-friendly structure for their survival. It is promoting not only industry structure changes and conversion but also demanding changes of workforce composition and requirement skills. In response to convergence of green economy, manpower development for future skills needs is provided the main impetus for response as well as promotion green growth. This study will analyze human resource development plan due to future skills needs emphasizing on automative industry. Also the study will be researched on the problems of present curriculum of undergraduate and look for improvements tasks. Upon the result, promotion plans for human resource development in other sectors of green car in response to future skills needs in green growth can be found.
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Kim, HyunWoo;Kim, Jaehee;Kim, Sheung-Kown
- Journal of Technology Innovation
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- v.20 no.3
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- pp.255-285
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- 2012
As the environmental performance is getting important in global automotive industry sector, there is a need to build the intellectual capacity. Hence it is important to measure the performance of the green car patent development of global automotive companies. To do this, we propose to use Data Envelopment Analysis(DEA) Model with Analytic Network Process(ANP), which generates weight coefficients of inputs and outputs for DEA-AR(Assurance Region) model. We considered three inputs: corporate asset, R&D expenditures, number of employees, and three outputs: patent counts, patent citations and patent claims. The results showed that our model could measure the potential of green car technology, and we could see the trend of the green car industry sector.
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