• Journal of the military operations research society of Korea
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• v.31 no.1
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• pp.14-25
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• 2005

Defense offset is considered to be all effective way of acquiring defense critical technologies and arms components as a counter-trade obligation ill defense acquisition contracts. Although arranging the offset contracts is wide]y perceived as necessary, there hardly exists an acceptable model of valuation of the offset technology. By undertaking the technology valuation approach and applying the option approach tn the offset program, we present an offset technology valuation model that maximizes social net benefit of the countries transferring the technology. This article applies our model to an actual case of defense technology transfer in the Republic of Korea. The contribution of this paper is in applying the option approach to the valuation of defense onset technology, providing for the additional flexibility to tile analysis. Our research suggests several policy implications that can be applied to the actual process of defense offsets. Our results elucidate managers' role and responsibilities in designing such a process by applying option approaches.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.147-154
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• 2021

Recently, it has been observed that as the level of Science and Technology in Korea is improving, the demand for technology transfer from overseas buyers is also increasing. A technical value is an important factor for the technology transfer process and the valuation of technology should be performed reasonably. Specifically, a non-economical value has to be examined thoroughly when conducting the valuation for a technology that depends on public values. Since public technology has public benefit as its purpose when compared to technology from the private sector, its discount rate should be appropriately assessed and reflected in its valuation process. In this context, this study presents the methodology of valuation of public technology particularly relating to the transfer of technology from the national defense industries. To be specific, both an application method of the discount rate according to the characteristics and the purpose of the target technology and a qualitative and quantitative evaluation method to reflect the public values are presented. The proposed method for the valuation of defense technology could be used practically both in strengthening bargaining capability based on the reasonably derived technical values for transfer of national defense technology abroad and in the compilation of budgets for technology development in the future.

• Journal of Korea Multimedia Society
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• v.9 no.8
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• pp.1086-1094
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• 2006

The CT is all relation knowledge and technology which are applied to make the culture contents. Recently demand regarding the CT is increasing rapidly with a great growth and high technology of culture contents industry. In this paper we suggest a CT technology valuation model for promoting R & D results and technical diffusion of the CT. Also, It is shown how to derive a value of the CT using simulation. For it, we study a classification and distinctive characteristics of the CT. And this paper reviews the methods of technology valuation that have been developed by valuation specialists.

• Korean Management Science Review
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• v.31 no.2
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• pp.71-86
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• 2014

There is a growing need for technology transactions between the technology providers, who develop technologies, and the technology consumers, who purchase and commercialize technologies, to be smooth, when technologies, as intangible assets, are traded as items that can be purchased and sold. In response to these challenges, this study examines new approaches to assessing the fair market value of technologies. Because corporations are the main force behind technology development and commercialization in the existing business environment, applying one valuation method to technology assets is viable; however, as the subjects of technology development and technology commercialization are separate, the need for price negotiations between the subjects of technology transaction has grown. Moreover, as the investigations into and the application of transaction prices have been performed separately by technology providers, technology consumers, and technology assessment financial institutions, the research on technology valuation methods has shown that there are differences in perceived transaction prices between the subjects involved. This research presents a new method, appropriate to technology transactions; unlike existing methods, it grants option values to the technology provider and newly defined key variables to the technology consumer.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.253-256
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• 1998

This paper presents a valuation methodology for optional calling plan contracts on free-phone calls in the telephone industry. Utilization of the model is not limited to valuation and consequent decision making for the subscribers; it provides a useful guideline for telephone companies in designing calling plans and assessing subscribers' behavior.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.252-278
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• 2013

Many countries implement an offset program as a method of the acquisition of modern military technology for enhancement of the domestic military strength. Offset agreements are made based on the value, not a monetary unit. The value should be above minimum threshold fixed by the related regulation. Hence, technology valuation model which is objective and reasonable is required vitally. At present, some defense related organizations such as DTaQ, ADD valuate the proposed technology by using their own method. However, due to the lack of differentiation of valuation analysis indicators for various technologies, existing offset valuation models are inadequate to consider whole characteristics of such technologies. In this paper, we developed four sets of offset valuation analysis indicators considering the characteristics of each technology, parts production, depot maintenance, military equipment performance upgrade, and R&D related technology, by using the Delphi method. Also, we structurized those indicators in each technology by using the factor analysis. Through applying developed indicators, it is expected that technology valuation in the offset program would be more credible and accurate. Ultimately, it gives greater bargaining power to negotiators in the procedure of the offset negotiation.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.293-298
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• 2024

The purpose of an internal control system is to prevent the occurrence of errors and fraud in the process of producing accounting information, thereby providing investors with reliable information. For the effective operation of an internal control system, it is necessary to secure a sufficient number of personnel and experienced staff. This study focuses on the personnel directly involved in producing accounting information, examining whether companies that invest in their internal control staff experience a mitigation in the phenomenon of valuation errors. The analysis revealed that the size and experience months of the personnel responsible for internal control have a significant negative relationship with valuation errors. This result implies that by securing sufficient personnel for the smooth operation of the internal control system and placing experienced staff within the system, investors can effectively make judgments about the intrinsic value based on quality accounting information, thereby reducing valuation errors.

• 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.

• Journal of Korean Society for Quality Management
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• v.38 no.1
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• pp.85-95
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• 2010

In this paper we propose a product-service valuation model which is usable as a decision-making tool in order to attain a competitive advantage in service in the manufacturing industry. With this purpose, service quality, product quality and costs as valuation criteria are selected. Also, the paper utilizes an AHP model in order to differentiate a fuzzy theory and valuation factors to ensure objectivity in the evaluated results while excluding subjective factors in conducting the product-service valuation. Accordingly, the product-service valuation model and valuated results proposed in this paper are expected to be useful as a basic data for decision-making in order to draw competitive advantage strategies of service in the manufacturing industry.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.277-307
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• 2016

Since 2011, DCF(Discounted Cash Flow) method has been used initiatively for valuating R&D technology assets in the agricultural food industry and recently technology valuation based on royalties comparison among technology transfer transactions has been also carried out in parallel when evaluating the technology assets such as new seed development technologies. Since the DCF method which has been known until now has many input variables to be estimated, sophisticated estimation has been demanded at the time of technology valuation. In addition, considering more similar trading cases when applying sales transaction comparison or industry norm method based on information of technology transfer royalty, it is an important issue that should be taken into account in the same way in the Agri-Food industry. The main input variables used for technology valuation in the Agri-Food industry are life cycle of technology asset, the financial information related to the Agri-Food industry, discount rate, and technology contribution rate. The latest infrastructure building and data updating related to technology valuation has been carried out on a regular basis in the evaluation organization of the Agri-Food segment. This study verifies the key variables that give the most important impact on the results for the existing technology valuation in the Agri-Food industry and clarifies the difference between the existing valuation result and the outcome by referring the support information that is derived through the latest input information applied in DCF method. In addition, while presenting the scheme to complement fragment information which the latest input data just influence result of technology valuation, we tried to perform comparative analysis between the existing valuation results and the evaluated outcome after the latest of reference data for making a decision the input values to be estimated in DCF. To perform these analyzes, it was first selected the representative cases evaluated past in the Agri-Food industry, applied a sensitivity analysis for input variables based on these selected cases, and then executed a simulation analysis utilizing the key input variables derived from sensitivity analysis. The results of this study is to provide the information which there are the need for modernization of the data related to the input variables that are utilized during valuating technology assets in the Agri-Food sector and for building the infrastructure of the key input variables in DCF. Therefore it is expected to provide more fruitful information about the results of valuation.