• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.85-98
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• 2018

This study aims to investigate the effects of venture & inno-biz companies' technological innovation competences on technological performances and economic competitive advantage, using VRIO framework. The empirical data for this study were based on the technology assessment results of Korea Technology Finance Corporation (KOTEC) on 3,462 venture & inno-biz companies and the following 2 years' financial data. Sample companies with technological innovation resources, such as technology management strategy(Value), differentiation of technology(Rarity), imitation difficulty of technology(Imitability) and technical organization capability(Organization), made efforts to expand their intellectual property rights, technological development and commercialization of new products, thereby ensuring technological competitive advantage. Furthermore, technological competitive advantage were proved to improve sales growth, increase in operating revenue, and financial soundness. Compared with four VRIO factors' influence on business performance, imitation difficulty of technology(Imitability) and organization technological capability(Organization) had much more influence than any other internal resources or capabilities respectively.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2126-2131
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• 2005

Interactions of a humanoid with a human are important, when the humanoid is requested to provide people with human-friendly services in unknown or uncertain environment. Such interactions may require more complicated and human-like behaviors from the humanoid. In this work the arm motions of a human are discussed as the early stage of human motion imitation by a humanoid. A motion capture system is used to obtain human-friendly arm motions as references. However the captured motions may not be applied directly to the humanoid, since the differences in geometric or dynamics aspects as length, mass, degrees of freedom, and kinematics and dynamics capabilities exist between the humanoid and the human. To overcome this difficulty a method to adapt captured motions to a humanoid is developed. The geometric difference in the arm length is resolved by scaling the arm length of the humanoid with a constant. Using the scaled geometry of the humanoid the imitation of actor's arm motions is achieved by solving an inverse kinematics problem formulated using optimization. The errors between the captured trajectories of actor arms and the approximated trajectories of humanoid arms are minimized. Such dynamics capabilities of the joint motors as limits of joint position, velocity and acceleration are also imposed on the optimization problem. Two motions of one hand waiving and performing a statement in sign language are imitated by a humanoid through dynamics simulation.