• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.6
• /
• pp.21-26
• /
• 2023

Recently, cryptocurrencies such as Ethereum and Bitcoin, which are called digital assets, Cryptocurrency has completely different characteristics from real assets and must be handled carefully and safely. But The disadvantage of digital assets is that anyone who knows the private key of the wallet can easily steal the digital assets. If the seed card is lost, stolen, or exposed when used, you can use the wallet by recovering the private key using the seed card acquired by someone else. In this paper We aim to safely protect encrypted assets by using QR codes when providing mnemonic words needed to create seed cards.

• International Commerce and Information Review
• /
• v.19 no.1
• /
• pp.235-256
• /
• 2017

This study is to analyse how trust and asset specificity among partner firms affect on performance of international joint venture(IJV). Especially, the analysis was mainly based on a quadratic model. While it assumes that the previous studies was based on linear model in the relationship between trust, asset specificity and the performance, this study proceeds a empirical analysis by setting up a hypothesis; it would be quadratic relationship between trust, asset specificity and performance which are based on social capital theory and transaction cost theory. The survey was held with 74 manufactures who were established as an IJV by Korean and foreign firms together. In the result of the empirical analysis, trust shows an inverted U-shaped relationship with IJV performance. Also, asset specificity shows the U-shaped relationship with IJV performance. The results suggest that it needs to control and maintain the trust level among the partners in order not to lose an appropriate control caused by too much trust. In order to minimize the cost generated by asset specificity and to transform it into positive impact, it needs a control and the operation of monitoring system on the opportunistic action of the partners. Furthermore, it needs to keep organizational flexibility and innovativeness to continuously develop new capabilities.

• The Journal of the Korea Contents Association
• /
• v.11 no.9
• /
• pp.275-292
• /
• 2011

In this research, we executed a questionnaire survey targeting men and women in 20' or more who reside in the metropolitan area and have experienced purchasing the vehicles in order to study how Promotion Mix Activity affects Brand equity, and ultimately what kind of relation it has with Purchase intention. In the statistical process of collected data, we analyzed the data by using SPSS 12.0 for Windows statistical package and AMOS 7.0 program. As the result of analysis, first, when we analyzed the relation of the Promotion Mix Activity and Brand Equity of the companies, the more affirmative the assessment on the advertising activities of the companies was, the higher the brand popularity, royalty and image increased, And it appeared that as the assessment on PR activities of the companies got more affirmative, the brand popularity, image and royalty increased. Second, as the result of the analysis of the relation between salespersons' Promotion Activities and Brand assets, it appeared that salespersons' social capacity improved Brand awareness and royalty and their strategic capacity improved Brand awareness, royalty and image. Third, seeing the result of the analysis on the relation between Brand equity and Purchase intention, it was shown that Brand popularity had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention, and Brand royalty had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention. In addition, it appeared that Brand image had a meaningful positive(+) effect upon satisfaction and repurchase(oral) intention, and finally it could be known that Brand assets had a close correlation with Purchase intention.

• Journal of KIISE:Computer Systems and Theory
• /
• v.36 no.5
• /
• pp.380-386
• /
• 2009

It is most important that identifying security threats(or vulnerabilities) of critical IT assets and checking the propriety of related security countermeasures in advance for enhancing security level. In this paper, we present a new security risk evaluation scheme based on critical assets and threats for this. The presented scheme provides the coverage and propriety of the countermeasures(e.g., intrusion detection rules and vulnerability scan rules, etc.), and the quantitative risk level of identified assets and threats. So, it is expected that the presented scheme will be utilized in threat management process efficiently compared to previous works.

• The Journal of the Korea Contents Association
• /
• v.11 no.12
• /
• pp.395-402
• /
• 2011

Recently, Corporate Social Responsibility(CSR) is essential corporate activity to establish favorable corporate image and sustainability management. But it has been a little research that investigate relationship between CSR in corporate level and marketing performance in individual brand level. This paper investigate relationship between CSR activities and brand equity, moderating effect of product quality and service quality on the relationship between CSR activities and brand equity. The SEM(Structural Equation Model) result of this paper shows positively CSR activity to product quality, service quality, and brand equity. Also, the result show moderating effect of product quality and service quality on the relationship between CSR activities and brand equity. Based on these findings, implication and future direction are discussed.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.4
• /
• pp.89-99
• /
• 2010

In Korea, much effort is being made to introduce asset management for improved efficiency and lower costs. Many researches related to asset management are ongoing, but asset management for public facilities is still in its early development stage in many countries including Korea. It is necessary to continuously improve and complement asset management for its successful execution. Thus, there should be a series of performance measurements and evaluations to perceive the current state of asset management in Korea from which to set future goals. In developed countries including Australia, asset management performance is measured using various methods for diverse purposes. The Korea Institute of Construction Technology has recently launched a study entitled Development of an Asset Management System for Public Facilities (KTAM-40) to change the country’s existing countermeasure-type maintenance system into a preliminary maintenance system and to suggest asset management evaluation parameters. this study aims to develop performance indicators of effective asset management with respect to its utility, which shall include all matters that are important for the efficient measurement of the management of domestic public facilities using the BSC (Balanced Score Card) method, and AHP method.

• Journal of Industrial Convergence
• /
• v.20 no.7
• /
• pp.13-20
• /
• 2022

This study aimed to provide basic data for the development of local cultural festivals by verifying whether regional cultural unity moderates the link between storytelling and brand assets for festival visitors. The survey was conducted with 431 visitors who participated in the S city Eupseong Festival program. Descriptive statistics, reliability analysis, correlation analysis, and moderating effect analysis were performed for the analysis of the questionnaire data. As a result of the study, first, storytelling and regional cultural unity showed the highest positive correlation, and there were positive correlations between local cultural unity and brand assets, and between storytelling and brand assets. Second, as a result of the moderating effect analysis, regional cultural unity moderated the link between storytelling and brand assets. In other words, when storytelling increases, brand assets increase, but when regional cultural unity is high, it increases more steeply than when regional cultural unity is low. This study presented a new model to improve the brand assets of local festivals.

• Journal of Korean Society of Forest Science
• /
• v.96 no.6
• /
• pp.724-729
• /
• 2007

Due to the low productivity in timber harvesting, economic values of forest resources have been rarely validated in Korea. Since the Korea Forest Service provided a statistic of the timber assets for the survey of the 4th National Accounting (1998), no more statistics or measurements have been provided. Further, it becomes an issue that there is no clear standard to classify timber assets into produced or non-produced assets. In this research, we intended to provide a reasonable standard that enables one to classify timber assets either in produced or non-produced assets. For this purpose, articles in the '1993 System of National Accounts (SNA)', which presented definitions and scopes of biological assets, were scanned. The articles related to timber assets in the Korean version of SNA were compared with those in the original version of SNA that were proposed by UN. The results show that the Korean version of SNA seems to have much emphasis on natural occurrence or plantation for the classification standard, while its original version rather focus on the existence of direct control, responsibility, and management by institutional units. According to the original version of SNA, naturally occurring assets, which were basically classified into non-produced assets, were treated as being cultivated and classified into the produced asset when they (or their growth) were under the direct control, responsibility, and management of institutional units. Therefore, a guidance was presented to renew the Korean version of SNA and to innovate the classification standards for timber assets.

• Management & Information Systems Review
• /
• v.35 no.2
• /
• pp.83-97
• /
• 2016

The purpose of this study is to evaluate our system and consider how the tax rules on corporate reorganization and asset adjustment account can be improved. The scope of this study includes the Korean tax rules on corporate reorganizations, as well as key tax benefits provided by the Special Tax Treatment Control Act. In case of Korea, The relevant regulations and system of taxation respecting the merger has been made the rapid progress in several respects in this situation, there are capable of improvement. This paper suggests improve some problems on tax avoidance abusing incomplete tax law. First, the asset adjustment account is the difficulty that it needs to follow-up during this period of time, as well as the complexity of the accounting and tax adjustments on the practice. If it is permitted to succeed asset-liability as market value, the complexity of asset adjustment account in corporate tax accounting also disappear. Second, in case that controlling shareholders possess more than 20% of merged entity, they could not get the tax deferral until after the time of two years has elapsed. It needs to further alleviate the merged entity ratio than the present level. Finally, after the merger it will be to strengthen the surveillance provisions of five years from the current two years. In addition, continuity of shareholder's requirements and business requirements, it is also necessary to strengthen the requirements of the follow-up provided by a separate regulation.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.135-149
• /
• 2020

Artificial intelligences are changing world. Financial market is also not an exception. Robo-Advisor is actively being developed, making up the weakness of traditional asset allocation methods and replacing the parts that are difficult for the traditional methods. It makes automated investment decisions with artificial intelligence algorithms and is used with various asset allocation models such as mean-variance model, Black-Litterman model and risk parity model. Risk parity model is a typical risk-based asset allocation model which is focused on the volatility of assets. It avoids investment risk structurally. So it has stability in the management of large size fund and it has been widely used in financial field. XGBoost model is a parallel tree-boosting method. It is an optimized gradient boosting model designed to be highly efficient and flexible. It not only makes billions of examples in limited memory environments but is also very fast to learn compared to traditional boosting methods. It is frequently used in various fields of data analysis and has a lot of advantages. So in this study, we propose a new asset allocation model that combines risk parity model and XGBoost machine learning model. This model uses XGBoost to predict the risk of assets and applies the predictive risk to the process of covariance estimation. There are estimated errors between the estimation period and the actual investment period because the optimized asset allocation model estimates the proportion of investments based on historical data. these estimated errors adversely affect the optimized portfolio performance. This study aims to improve the stability and portfolio performance of the model by predicting the volatility of the next investment period and reducing estimated errors of optimized asset allocation model. As a result, it narrows the gap between theory and practice and proposes a more advanced asset allocation model. In this study, we used the Korean stock market price data for a total of 17 years from 2003 to 2019 for the empirical test of the suggested model. The data sets are specifically composed of energy, finance, IT, industrial, material, telecommunication, utility, consumer, health care and staple sectors. We accumulated the value of prediction using moving-window method by 1,000 in-sample and 20 out-of-sample, so we produced a total of 154 rebalancing back-testing results. We analyzed portfolio performance in terms of cumulative rate of return and got a lot of sample data because of long period results. Comparing with traditional risk parity model, this experiment recorded improvements in both cumulative yield and reduction of estimated errors. The total cumulative return is 45.748%, about 5% higher than that of risk parity model and also the estimated errors are reduced in 9 out of 10 industry sectors. The reduction of estimated errors increases stability of the model and makes it easy to apply in practical investment. The results of the experiment showed improvement of portfolio performance by reducing the estimated errors of the optimized asset allocation model. Many financial models and asset allocation models are limited in practical investment because of the most fundamental question of whether the past characteristics of assets will continue into the future in the changing financial market. However, this study not only takes advantage of traditional asset allocation models, but also supplements the limitations of traditional methods and increases stability by predicting the risks of assets with the latest algorithm. There are various studies on parametric estimation methods to reduce the estimated errors in the portfolio optimization. We also suggested a new method to reduce estimated errors in optimized asset allocation model using machine learning. So this study is meaningful in that it proposes an advanced artificial intelligence asset allocation model for the fast-developing financial markets.