• Journal of Venture Innovation
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• v.5 no.4
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• pp.91-108
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• 2022

This study is an empirical analysis regarding what kind of factors affect the intention to use autonomous vehicles. For the empirical analysis the research model was derived from value-based adoption model base and integrated some aspects that only autonomous vehicles have. At default variables of VAM are usefulness, enjoyment, technicality, perceived cost, some autonomous vehicle related variables were added, and those are convenience, safety, security, social influence. A survey was done in order to empirically analyze with this research model, and 216 valid survey answers were chosen to analyze. Empirical analysis was done by structural equation using AMOS24. The result of empirical analysis were as follows. Variables usefulness, enjoyment, safety, security had a significant positive effect on perceived value. Technicality and perceived cost had a significant negative effect of perceived value. In addition, security and social influence had no significant effect on perceived value. Furthermore, perceived value had significant positive effect on intention to use. Among the variables that came out to be significantly positive, the most influencing variable was safety, followed by convenience, perceived cost, enjoyment, usefulness and then technicality. In addition, the analysis of mediating effect of perceived value shows that usefulness, enjoyment, convenience, safety, technicality, perceived cost had mediating role towards intention to use. However, security and social influence had no siginificant mediating effect towards intention to use. Considering all these research results this study has provided theoretical and practical implications to researchers on the intention to use autonomous vehicles.

• Journal of Korea Technology Innovation Society
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• v.3 no.2
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• pp.1-13
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• 2000

This paper maps the overall features of technology valuation through a conceptional framework. The framework is composed of 4 dimensions such as basic, compositional, technical and behavioral dimension. At basic dimension, what is value and what is technology are discussed. The valuation of technology or the valuation of other assets are compared at the compositional dimension. The techniques of the valuation of technology and its difference with the valuation methods of other assets are examined at the technical dimension. The effectiveness, possibility and error of valuation are discussed at the behavioral dimension.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.130-150
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• 2018

Technology valuation refers to the act, procedures, or techniques in evaluating certain technology and its value for commercialization. For this purpose, deadlines and process plans are established based on valuation goals such as technology transfer, investment and financing, investment in kind, and strategy establishment. The technology valuation process involves analyzing and evaluating technology performance, rights, marketability, and business value technology, as well as calculating the monetary value of technology modules based on the results. Analysis and evaluation of each module is performed by a team of experts having knowledge of specific technology. Valuation of technologies is conducted as independent projects by project managers (PM) who integrate and manage modules; they must have expertise in systematic performance of task support and management to ensure objectivity and reliability. Furthermore, the valuation team comprises expert stakeholders having knowledge about each module due to the nature of technology valuation. For smooth knowledge sharing in technology and valuation procedures, communication skills and roles of PMs supporting and managing the valuation are important. Primarily, PMs must resolve conflicts between evaluators participating in different tasks, evaluators and evaluatees, and technology holders and receivers. This study examines technology valuation for four conflicts occurring frequently among stakeholders providing valuation support to PMs, and seeks resolutions. The conflicts and resolutions discussed in this study may lead to more specialized roles of PMs in technology valuation and project management, as well as systemized valuation support and management plans.

• Journal of Energy Engineering
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• v.18 no.3
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• pp.175-190
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• 2009

This study examines the influence of scale economy, technology, financing capability and market competition on economic performance by value chain in Korean solar energy companies, using the multiple logistic regression analysis. The current profit ratio is analyzed to have been positively affected by financing capability, while negatively by market competition. The scale economy and technology are analyzed to have no statistical significance on the economic performance. The current profit ratio for companies creating higher value in the sourcing process is negatively affected by technology while positively by financial capability. The one in the manufacturing process is affected positively by technology and financing capability, and the one in the marketing process is affected positively by financing capability while negatively by market competition. The implications of this study are as follows: Korean solar energy industry is recommended i) to establish the specific innovation system for technology development, ii) to set up advanced financial system, iii) to carry out the fractal system, the manufacturing system through the network of the firms owning core competence per value chain.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.6128-6134
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• 2012

In so many real estate development projects, there were strong needs to have a powerful tool to check feasibility of those projects. But there were not enough tool and measure to cover risk of real estate development and construction. Therefore I tried to find a real tool to measure investment value of development properly and efficiently, by means of case studies of many real estate development projects. Finally I found a fact that no tools of investment value analysis are perfect and efficient to hedge all kinds of risks in projects. Especially NPV(Net Present Value) and IRR(Internal Rate of Return) were not sufficient by themselves to measure investment value. So I found out that MIRR(Modified IRR), XIRR(X-IRR), ARR(Average Rate of Return), PP(Payback Period) and so on, would be supplementaries of proper and efficient investment value analysis.

• Korean Journal of Construction Engineering and Management
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• v.12 no.3
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• pp.91-100
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• 2011

Green technologies of buildings are spreading for saving resource and energy consumption during life cycle of buildings. However, selection of optimized the technologies for applying projects is needed a lot of time and costs. Therefore prioritization is necessary to apply the technologies for buildings. An evaluation of economic value for the technologies is significant for prioritization of the technologies, however, the current evaluation system of economic value for technologies is not reflected the accurate features of the technologies. Green technologies have the objectives for reducing the emission of CO2 and saving the cost during the whole lifecycle of buildings. Thus the evaluation of economic feasibility for green technologies is needed to include the economic value from improving the environment. This paper developed the economic evaluation method integrated with LCC and LCA to accurately analyze the economic value for green technologies. Moreover, this paper drew the priority of the technologies by conducting case studies with the integrated method and analyzing the results with AHP. The conclusion of case studies, Green technologies is worth more if to include the economic value from improving the environment. Then in analysis of priority, Green intelligent component technologies were rated the highest. The conclusion of the study is able to utilize the supporting tool for making decision to select the optimized technologies for the projects and precedence study for developing future research of prioritization for green technologies. The future study for improving the developed method will supplement the various evaluation factors and apply the detailed weight to analyze the priority of green technologies.

• Proceedings of the Korean DIstribution Association Conference
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• 2003.05a
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• pp.149-175
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• 2003

1990년대 이후 인터넷을 비롯한 각종 기술의 발달로 TV 홈쇼핑, 인터넷 쇼핑, 카탈로그 쇼핑, 모바일 쇼핑 등과 같은 새로운 소매업태가 등장함에 따라 각기 다른 소매업태, 즉 각기 다른 쇼핑 환경들이 어떻게 소비자의 가치지각에 영향을 미치는 가에 대한 연구가 필요성이 제기되었다. 이를 위해 본 연구에서는 인지 심리학의 한 이론인 인지 연속성 이론의 동태적 과업시스템을 소비자의 쇼핑 행동에 적용하였다. 즉 소비자의 쇼핑 경험을 소비자와 쇼핑 환경이 상호작용하는 동태적 과업으로 간주하였으며 이에 따른 가치지각을 연구하고자 한 것이 본 연구의 목적이다. 본 연구에서는 동태적 쇼핑 경험의 구성요소로서 내ㆍ외면적 특성인 소비자의 쇼핑성향과 쇼핑 환경을 정의하였으며 소비자의 경험가치에 있어서는 Holbrook의 경험가치 척도를 적용하여 소비자의 동태적 쇼핑경험이 쇼핑가치지각에 어떠한 영향을 미치는 가를 실증적으로 분석하였다. 본 연구에서 적용한 경험가치척도는 경제적 가치, 효율성, 내면적 즐거움, 현실도피성과 같은 추구 가치와, 시각적 매력, 엔터테인먼트 가치, 서비스 우수성과 같은 수동적 가치로 구분되며 실증분석 결과 이러한 경험가치들은 각각 동태적 쇼핑 경험의 내ㆍ외면적 특성에 따라 서로 다른 영향을 받는 것이 검증되었다.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.95-100
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• 2018

With the rapid growth of the up-to-date ICT technology and ICT based convergence technologies recently, the efforts of the technical transfer and commercialization are realized actively. However, valuation methods of these technologies are mainly based on the existing valuation method of enterprise and business value review, not for the technology itself. Therefore, there are obvious limits for the accurate valuation of the up-to-date technology in ICT fields. In this study, we analyze the valuation result of the case study, in which the existing valuation method of the enterprise and business value review is applied to the rapid growth up-tp-date ICT technology. Then, we explore the problems of this valuation method considering the inherent characteristics of the ICT technology and suggest the feasible solution.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.754-783
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• 2013

This study aims to suggest an empirical approach for improving the reliability of the valuation method for the technology developed at universities by using the recent data of university technology transfer. The influencing factors, the internal capabilities of an university and the characteristics of technology area, on the outcome of university technology transfer were investigated for this study. The analysis shows that the technology area distribution of the outcome of technology transfer of each university can be classified into two type: IT and NT area oriented type, and BT and other area oriented type. The analysis also shows that the type of technology area distribution can act as a moderator in the positive relationship between each independent variables, the number of patent applications and the number of technology commercialization staff, and the outcome of technology transfer. Considering that the capability of technology development and that of technology spread are related directly or indirectly to all the technology valuation process, the analysis results imply that the reliability of the valuation method for university technology might be improved by using factors of the internal capabilities of an university and that of the characteristics of technology area.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.831-837
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• 2008

Korean construction industry faces diverse social and economical changes. Labor shortage, Free Trade Agreements (FTA), high oil prices alert industry practitioners to the new challenges and opportunities. It is time to make novel approaches for significant improvement of industry performance. Korean government and companies have plans for interdisciplinary research and development efforts. To this end, technology evaluation and market needs analysis should be extensively carried out prior to research initiation. Research programs developed in this way are presented in term of budget estimate, research scope and timeline. A framework for construction technology valuation methodology is also suggested to evaluate the holistic technology value and return on investment of research, development and commercialization.