• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.307-337
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• 2001

In this paper, we propose the valuation frame of the IT(Information Technology) ventures using ROV(Real Options Valuation) model. Generally, ROV can comprises the traditional valuation method such as DCF(Discounted Cash Flow), which can measure only the tangible value of a firm from the expected future earnings, in that ROV can additionally measure the intangible value such as the strategic value of a firm in the uncertain environment. We set up the hypothetic IT venture future investment plan and assume that there are a growth option and a switching option consequently along the investment time horizon, which are caused by each characteristics of ventures and IT technologies, especially modularity. In the case that there are several embedded real options in the firm's investment plan in a row, we should apply the compound option pricing model as a real option valuation model in order to consider the value interaction between real options. In an addition, we present the results of optimal investment timing analysis using real options approach and compare them. with those of the original assumed investment timing.

• Journal of Korea Technology Innovation Society
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• v.3 no.1
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• pp.139-153
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• 2000

The aim of this paper is to provide a new model to evaluate the quantitative value of technology(nonfinancial benefits). This new model is based on the technology stock(technology level) ac-quired in R&D process. The model can explain the quantitative relation between the technology stock(level) and the market value of technology as considering the R&D expenditure to acquire technologies above a certain level(>70%) in comparison with the advanced country and the cost to prevent the technology obsolescence. The value of non-destructive testing technology which is one of the electric power technology is measured quantitatively as a case study.

• Asian Journal of Innovation and Policy
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• v.6 no.2
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• pp.225-244
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• 2017

When evaluating the economic value of technology or business project, we need to consider the period and cost for commercialization. Since the discounted cash flow (DCF) method has limitations in that it can not consider consecutive investment or does not reflect the probabilistic property of commercialization cost, we often take it desirable to apply the concept of real options with key metrics of underlying asset value, commercialization cost, and volatility, while regarding the value of technology and investment as the opportunity value. We at this moment provide more elaborated real options model with the effective region of volatility, which reflects the uncertainty in the option pricing model (OPM).

• Journal of Technology Innovation
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• v.6 no.2
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• pp.178-207
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• 1998

This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.

• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.623-649
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• 2005

This study examines the underlying properties of technology valuation and empirically tests the difference in various aspects of the determinants of technology valuation in Korea. In particular, this study analyzes influential factors on the determination of economic value of a technology. For this purpose, we look into the trends of technology valuation in Korea and analyze the patterns of technology valuation in terms of intellectual property, technology area, discount rate, and contribution of technology to business value. By doing so, this paper investigates how the economic value of a technology in transfer or commercialization of technology is determined in Korea and draw implications from the process of discussion.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.477-495
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• 2022

This paper proposes how to design and implement data-driven strategies by investigating how a firm can increase its value using data science. Drawing on prior studies on architectural innovation, a behavioral theory of the firm, and the knowledge-based view of the firm as well as the analysis of field observations, the paper shows how data science is abused in dealing with meso-level data while it is underused in using macro-level and alternative data to accomplish machine-human teaming and risk management. The implications help us understand why some firms are better at drawing value from intangibles such as data, data-science capabilities, and routines and how to evaluate such capabilities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.79-89
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• 2016

FDI has been considered as a source of competitive advantage by bringing scientific and technological innovation capabilities to domestic firms via organizational learning. Acquiring knowledge and technology by learning accelerates firms to be innovative. In the way of innovation, firms seek for innovation as a whole but innovation can be clarified as two different parts, product and process innovation. Different from product and process innovation, organizational innovation is not directly related to productivity or outcome but it is closely related to product and process innovations. As a kind of firm innovation, organizational innovation may be considered as preceding product and process innovation and it may positively mediate the relationship between in-bound FDI and firms' product and process innovations. In this paper, the relationship between FDI and product and process innovation will be explained by organizational learning and the way of organizational innovation affects to the relationship will be examined.

• Journal of Distribution Science
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• v.18 no.6
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• pp.93-101
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• 2020

Purpose: While crowdfunding functions as a purchasing behavior, it is different from other purchasing behavior. It derives from non-existed idea and leads to production and purchase through continuous idea development with participants and participants' support is a proxy for future sales. This study researches on consumption value, customer's trust and consumer's innovativeness to reveal which constructs of consumption value and customer's trust should be considered. Research design, data, and methodology: Crowdfunding participation intentions were examined using consumer's consumption value and trust of platforms as independent variables, and consumer innovation as a control variable. A total of 175 surveys were used for analysis. The hypothesis was tested using hierarchical regression analysis. Results: The results showed economic, epistemic value and ability, benevolence consumer trust to have a significant effect in crowdfunding participation intentions. The moderating effect of innovation was shown to be significant in only economic value and benevolence. Conclusions: The economic and hedonic value of consumers should be emphasized, as well as the evaluation level of the project itself. Moreover, technology or system safety, competency, and product specific information, as well as user benefits for their ideas are core elements in attracting new participants.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.88-97
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• 2013

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.181-194
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• 2013