• Journal of Digital Convergence
• /
• v.7 no.2
• /
• pp.63-70
• /
• 2009

It is well known that in the knowledge-based economy a firm's intellectual property including patent is crucial for its competitive advantage. In industrial economy, tangible assets such as land and equipment have been of critical importance for a firm's competitiveness. However, as the paradigm shift to the knowledge-base economy is being accelerated, intangible assets such as intellectual property are considered to be more influential for a firm to be competitive. The valuation of intangible asset is as necessary as that of tangible asset. In particular, reasonably accurate valuation of patent which represents a firm's technological competitiveness seems to be of great importance since (1) it is essential for a firm's patent strategy development, (2) it can activate the technology market, and (3) it is necessary to evaluate a patent's technological contribution when multiple patents are used to develop and commercialize an innovative product. Unlike that of tangible asset, the valuation of intangible asset is very difficult. In order to figure out a value of patent it is necessary to use a number of appropriate valuation factors. In this paper, we surveyed various valuation factors presented by previous researches and several technology valuation organizations to find a set of common valuation factors considered to be of more importance.

• Journal of Distribution Science
• /
• v.18 no.2
• /
• pp.99-108
• /
• 2020

Purpose: This paper investigated the relationship between market competition and firm valuation error. Furthermore, Additional analyses were made according to the quality of financial reports and the listed market. Through the process we confirm to the impact of competition on the capital market. The purpose of this study is to analyze the impact of competition on valuation errors. The preceding studies did not provide a consistent results of the effects of competing functions on the capital market. One view is that the competition could mitigate the information asymmetry, and the other is that monopolistic lessens the manager's involvement in financial reporting. This study is intended to expand the prior study by analyzing the impact of competition on the capital market and on the valuation of investors. Research design, data, and methodology: The analysis was conducted on 12,031 samples over 11 years from 2008 to 2018 using data from market in Korea. Here the valuation error was measured by the research methodology of Rhodes-Kropf, Robinson and Viswanathan (2005), and competition measured by Herfindahl-Hirschman Index multiplied by (-1), and Concentration Ratio by (-1). Results: We confirm that the positive relationship between competition and the valuation error. In addition, we also found that the positive relation between competition and valuation error was in cases of low discretionary accruals and the KOSDAQ market. This means that the net function of competition does not mitigate valuation errors. Conclusions. This study has the following contributions when compared to prior research. First, the relevance between the level of competition and the valuation of the entity was confirmed. The study by Haw, Hu and Lee (2015) suggested that monopolistic industry of analysts' forecast is more accurate due to lower the variability in earnings. This study magnified it to confirm that monopolistic lessen information uncertainty in valuation. Second, the study on valuation errors was expanded. While the study on the effect of valuation errors on the capital market is generally relatively active, it is different that competition degree has analyzed the effect on valuation errors amid the lack of research on the effect on valuation errors.

• Journal of the Chungcheong Mathematical Society
• /
• v.22 no.3
• /
• pp.333-351
• /
• 2009

We introduce the concepts of strongly prime fuzzy ideals, powerful fuzzy ideals, strongly primary fuzzy ideals, and pseudo-strongly prime fuzzy ideals of an integral domain R and we provide characterizations of pseudo-valuation domains, almost pseudo-valuation domains, and pseudo-almost valuation domains in terms of these fuzzy ideals.

• Proceedings of the KSR Conference
• /
• 2004.10a
• /
• pp.1707-1717
• /
• 2004

Increasing number of transactions and investments in technology has sparked a growing interest in technology valuation. However, it has not been easy to come up with an objective valuation of technology due to variance in technology value, purpose of valuation. and technology patterns. The main objective of this paper lies in the study of the traditional valuation methods and the development of a new approach for railway technology valuation.

• Communications of the Korean Mathematical Society
• /
• v.39 no.1
• /
• pp.71-77
• /
• 2024

Let A be a commutative integral domain with identity element and S a multiplicatively closed subset of A. In this paper, we introduce the concept of S-valuation domains as follows. The ring A is said to be an S-valuation domain if for every two ideals I and J of A, there exists s ∈ S such that either sI ⊆ J or sJ ⊆ I. We investigate some basic properties of S-valuation domains. Many examples and counterexamples are provided.

• Asian Journal of Innovation and Policy
• /
• v.4 no.1
• /
• pp.35-54
• /
• 2015

The purpose of this study is to compare the valuation of technology firms in the KOSPI and KOSDAQ. This study analyzed 224 market reports for KOSDAQ firms and 602 reports for KOSPI firms. We compare the two markets under 3 definitions on the accuracy of stock price forecasting. Findings are as follows: Although PER multiples is the most used method of valuation, KOSDAQ valuation more heavily relies on the method than KOSPI valuation. In stock market, the period of earnings forecasting is mostly 2-3 years. Multiples of KOSDAQ is generally higher than those of KOSPI. Even for technology firms, valuation in KOSPI mostly relies on earnings of the company, but that in KOSDAQ mostly relies on relative price. In stock price forecasting, generally overestimation prevails. Moreover, forecasting of KOSPI reports is more accurate than that of KOSDAQ reports. ROE and COE of KOSDAQ firms are generally higher than those of KOSPI firms.

• Environmental Engineering Research
• /
• v.13 no.1
• /
• pp.41-48
• /
• 2008

The valuation of biodiversity is a fundamental step in conservation. The useful framework for analysing the economic value of biological resources is that of total economic value (TEV) and TEV comprises both use and non-use values, the former related to an actual use made of the resource, the latter to a willingness to pay for the resource independently of any use made of it. There are several valuation approacher in environmental economics literature. However, stated preference approach should be introduced for valuation of biodiversity because it can estimate non-use value as well as use value. Contingent Valuation and Conjoint Analysis are representative methods in stated preference and Conjoint Analysis can be more useful for valuation of biodiversity. Futhermore, the combination of ecology and economics to assess biodiversity leads to an integrated framework. Thus, interdisciplinary work is required, involving both economists and ecologists transferring elements or even theories and models from one discipline to another and transforming them for their specific, mutually consistent purpose.

• 한국벤처창업학회:학술대회논문집
• /
• 2006.11a
• /
• pp.61-85
• /
• 2006

The Purpose of this study is to prove empirically the relationship between ventures' technology valuation and performance, while considering the uniqueness of Korean firms. We use technology valuation index, marketability valuation index, business valuation index as ex-ante independent variables, use firm's performance(sales, asset, operating income ratio, net income ratio etc) as ex-post dependent variables. Parametric analysis such as Paired T-test, ANOVA are applied in this paper. The results of Empirical analysis is summarized as follows. Firstly, operating income ratio and net income ratio are different in portfolios classified by technology valuation index. Secondly, the growth rate of operating income is different in portfolios classified by technology valuation index. Finally, this study has shown that technology valuation index has possibility which it use the predictive variables of ventures' performances.

• Honam Mathematical Journal
• /
• v.23 no.1
• /
• pp.21-28
• /
• 2001

In this short paper, we generalize some theorems about pseudo valuation domain to ring and give characterizations of psedo valuation ring.

• Journal of Distribution Science
• /
• v.18 no.5
• /
• pp.5-13
• /
• 2020

Purpose: The aim of this article is to test the link between growth of loan distribution and Bank Valuation in Vietnam's banking sector. At the same time, the study also compared the differences in the effect of growth of loan to valuation bank in banks of different sizes, ownership rates and bank values. Research design, data and methodology: With panel data estimation techniques along with robust standard error for a sample of the banks listed on Vietnam stock exchange from 2012 to 2019. Results: Growth of loan has a positive impact on Bank Valuation (by Tobin's Q). A closer investigation provides evidence for the differential valuation effect of loan growth depending on different features of banks. Specifically, loan growth is found positively and significantly associated with Bank Valuation in small and non-state-owned banks only. Besides, bank size, deposit, and return on equity are found negatively associated with Tobin's Q, while loan loss provisions exhibit a positive relation with this measure of Bank Valuation. Conclusions: These findings provide contributions to the literature on the existence of the effect of loan growth on Bank Valuation. At the same time, the study also provides practical implications for policy makers in banks and investors.