• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.113-135
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• 2014

The purpose of this research is to investigate the current situation of national and international e-book ecosystem, reveal a conflict and suggest the improvement strategies regarding e-book lending service in public libraries. For this, an extensive research was conducted concerning overall e-book issues and reveled the criteria for each sectors. The relationship and different view between publishing and library sector were presented. Then, the five public library e-book lending principles, developed by foreign national or international library associations, were analyzed. The seven main principles were derived and mapped to the current practice of publishers. As a result, the possible countermeasures of the Korean public library were suggested, particularly in terms of the mission of public library, development a standardized lending model, and the revision of law.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.185-192
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• 2022

This study investigates the effect of the semi-supervised learning(SSL) method on predicting default risk of peer-to-peer(P2P) loans. Despite its proven performance, the supervised learning(SL) method requires labeled data, which may require a lot of effort and resources to collect. With the rapid growth of P2P platforms, the number of loans issued annually that have no clear final resolution is continuously increasing leading to abundance in unlabeled data. The research data of P2P loans used in this study were collected on the LendingClub platform. This is why an SSL model is needed to predict the default risk by using not only information from labeled loans(fully paid or defaulted) but also information from unlabeled loans. The results showed that in terms of default risk prediction and despite the use of a small number of labeled data, the SSL method achieved a much better default risk prediction performance than the SL method trained using a much larger set of labeled data.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.79-89
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• 2021

Green finance plays an important role in environmental protection missions and fighting climate change. The Environment Fund in Vietnam is the main channel of preferential capital offered to firms for environmental protection. Unfortunately, it was previously unknown which criteria influenced these companies' ability to obtain green financing. Using a survey method, we collected data through a structured questionnaire of 203 respondents that represent firms that had received concessional loans from 26 Environment Funds. A Multiple Linear Regression model was used to examine the determinants of access to concessional loans for environmental protection. We found relationships between age, size, ownership type, and industry sector, and access to green finance. Third-party guarantees were a significant factor in financing through Environment Funds. Moreover, we found commercial environmental projects face fewer green financing obstacles. Surprisingly, showing audited financial statements does not mitigate the information asymmetry between firms and these financial institutions. These findings suggest that Environment Funds should classify environmental project types to develop appropriate lending policies. In emerging markets, enterprises need to build a trusted relationship with financial institutions so that they can replace asset-based lending techniques, thereby increasing the firms' accessibility to green finance.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.181-187
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• 2023

The study aimed to study the effect of the inflation rate, the real domestic product, the interbank lending interest rate, and the total deposits on credit facilities in Jordan for 2012-2021 through quarterly data. The study adopted the ARDL model. The study used the time series analysis method, as the study tests the stationarity of the time series. The results showed that the impact of inflation on the total credit facilities was negative. In contrast, the impact of each of the total deposits, real GDP, and the interest rate of interbank loans on the total credit facilities was positive and significant. The study recommended the need for the banking sector in Jordan to develop risk management mechanisms in a way that allows it to adapt to economic cycles and crises by conducting stress tests and developing scenarios that ensure the formation of sufficient provisions to meet emergencies. The study also recommended that the macroeconomic policy should be based on creating a stable macroeconomic environment that allows the efficient employment of resources in all economic sectors in a way that achieves high economic growth rates, which contributes to the promotion of economic recovery and is reflected in income. Hence, individuals have a greater ability to repay loans.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.411-420
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• 2015

With the rapid increase in the price of house lease, a unique housing form in Korea, a serious social issue has been raised as to the use value of house lease and residence stability of the ordinary people. This study thus aimed to analyze the direct factors that affect lease guaranteed loan and market volatility in order to explore the right direction of financial policy to reduce housing burdens. To this end, the direct variables affecting house lease guaranteed loan, including lease price, transaction price and lending rate, were defined. Vector Error Correction Model (VECM), a time series analysis, was employed to dynamically explain the data. Based on the house lease prices and bank data on loans between January 2010 and December 2014, it was found that the increase in lease price was the direct result of the increase in lease guaranteed loan, not that of the decrease in lending rate or increase in housing transaction price.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.77-83
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• 2012

Objective: The aim of this paper is to introduce a method that can measure and analyze the judgment gaps between service providers and customers. Background: It is important to understand the good service that service providers and customers are thinking. If there is judgment gap between service providers and customers, it would cause an unsatisfactory service. The judgment gap should be thoroughly investigated for a good service design. Method: Lens model is a human decision making model that was proposed by Brunswick(1952). This study indicates whether the Lens model can be applied to analyze judgment gaps between service providers and customers. As a case study, a library lending service was selected. 5 librarians and 15 customers participated in the experiment that investigates their judgments on a good service. The obtained data were analyzed by a modified lens model. Results: Cue weighting policies of consumers and service providers were similar, except that consumers gave higher weight on tangibility than service providers. Service providers and consumers had a good knowledge on the service quality, but they could not well apply the knowledge to judge it. Conclusion: The lens model may be used to analyze judgment gaps between service providers and consumers in the other service areas. The decision cues that were used in this study can be changed, depending on the characteristics of the target service. Application: The method that is proposed in this study may help to investigate and analyze both consumers' and service providers' judgments on a variety of services.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.27-36
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• 2008

As ubiquitous computing technologies become the important paradigm for replacing internet based IT paradigm and developing the next generation IT, the research and development on the ubiquitous technologies are progressed actively. One of the core technologies for ubiquitous computing is RFID. In this paper, we design and implement the property management system as a new business item using the RFID since the demands for the u-business model that considers the ubiquitous environment are being grown. There are many properties in the organizations such as companies, schools and so on. Many users share these properties. Thus, these fields require efficient management systems for monitoring a variety of information such as the locations and the detailed information of the properties for the monitoring and lending services. We attach RFID tags to every property and monitor their information with our web-based management system. Our management system provides the monitoring service and the lending service for properties and users.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.1
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• pp.29-41
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• 2017

Korea is expected to become a super-aged society by 2050. Given an aging population and the increasing pressure for the early retirement, a sufficient social safety net for elderly population becomes important. The Korean government introduced public reverse mortgage program in 2007, which is a product for aging seniors and the elderly, The number of reverse mortgage subscribers has also steadily grown. The demand continues to grow, but the reverse mortgage over a long period of time is a highly uncertain and risky product in the position of guarantee or lending institution. Thus, suitable demand prediction of the reverse mortgage subscribers is necessary for stable and sustainable operation. This study uses a Bass diffusion model to forecast the long-term demand for reverse mortgage and provides insight into reverse mortgage by forecasting demand for stability and substantiality of the loan product. We represent the projections of new subscribers on the basis of the data obtained from Korea Housing Finance Corporation. Results show that potential market size of Korean reverse mortgage reaches approximately 760,000-1,160,000 households by 2020. We validate the results by comparing the estimate of the cumulative number of subscribers with that found in literature.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.13-26
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• 2019

This study analyzes the characteristics of lending-based crowdfunding of various crowdfunding models, identifies the factors affecting the use of the general public, and provides suggestions for the policies set by real estate crowdfunding businesses and related authorities. To analyze the service's adoption from a cognitive perspective, this study developed a new model that combined the Value-based Adoption Model (VAM), motivation theory, and a set of variables that take into account the characteristics of the real estate industry. For empirical analysis, survey was conducted from the general investors of real estate and valid 252 data were utilized by R 3.2.2. The results of this study showed that both government regulation and the perceived risk are hindering the perceived values and intention to use crowdfunding for real estate. In contrast, this research found that among the intrinsic motivation, enjoyment had a significant impact on the perceived value. In addition, it turned out that among the extrinsic motivation, market attractiveness, brand credibility, expected return, and safety and protection had significant impacts on the perceived value. Finally, it showed the perceived value of real estate crowdfunding had a positive impact on the intention to use.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.219-229
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• 2020

The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks' profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks' profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II's capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.