• Information Systems Review
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• v.7 no.2
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• pp.85-100
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• 2005

Mobile banking, a type of digital convergence, has recently spread in the ubiquitous age. This study intends to identify the factors that affect the adoption of the mobile banking, which is a field similar to, but even more specialized than, the Internet banking. The results indicate that the significant factors affecting the usage of mobile banking are usefulness, service quality, and instant connectivity, while usability and social influences are not significant. These results are expected to be used for marketing the mobile banking and establishing the technological strategy by the telecommunication and banking organizations.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.171-179
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• 2017

This study explored an appropriate research model that could explain and predict the spread of fintech, a new financial services in Korea. We reviewed two theoretical frameworks, theory of planned behavior(TPB) and technology acceptance model(TAM), which are frequently cited to explain human behavior and new technology adoption, respectively. Then, we proposed a decomposed theory of planned behavior(DTPB) as a research model and examined the model through PLS path modeling. As a result, every path except PEOU-ATT path in TAM is significant, and the explanatory power toward behavioral intention(R2=0.573) is also significantly greater in the proposed model. Accordingly, the proposed DTPB is appropriate to explain the spread of fintech in Korea. Finally, suggestions for the following studies are discussed.

• International Commerce and Information Review
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• v.9 no.3
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• pp.81-103
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• 2007

인터넷의 확산과 함께 금융 산업에서 인터넷뱅킹의 등장은 은행 산업 전반에 많은 변화를 가져오고 있다. 인터넷뱅킹은 더 이상 단순한 정보시스템이 아닌 은행의 경쟁력을 결정짓는 중요한 요소로 부각되고 있다. 또한 국내 인터넷뱅킹 사용자의 증가로 인해 은행에서는 기존 인터넷뱅킹 사용자가 지속적으로 인터넷뱅킹을 이용할 수 있도록 여러 가지 전략을 개발하여야 할 것이다. 따라서 본 연구에서는 정보시스템 연구 분야에서 기술 수용에 대한 많은 연구들의 이론적 기반이 되었던 계획적 행동 이론(TPB)과 기술 수용 모델(TAM)을 인터넷뱅킹 이용의도 분석에 적용시켜 인터넷뱅킹 이용 행위를 실증 분석함으로써 지속적인 인터넷뱅킹 이용 의도에 영향을 미치는 요인들을 규명하고자 하였다. 더 나아가 TPB 모형과 TAM 모형을 체계적으로 비교분석하여 인터넷뱅킹 이용의도에 관한 이론적 기초를 제시하고, 인터넷 환경에서 은행의 적극적인 인터넷뱅킹 활용에 도움이 될 수 있는 실무적 시사점을 제공하고자 한다.

• The Korean Journal of Financial Management
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• v.22 no.2
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• pp.165-187
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• 2005

This paper tries to investigate the relationships among stock return volatility, time-varying risk premium and Korea Discount. Using Korean Composite Stock Price Index (KOSPI) return from January 4, 1980 to August 31, 2005, this study finds possible links between time-varying risk premium and Korea Discount. First of all, this study classifies Korean stock returns during the sample period by three regime-switching volatility period that is to say, low-volatile period medium-volatile period and highly-volatile period by estimating Markov-Switching ARCH model. During the highly volatile period of Korean stock return (09/01/1997-05/31/2001), the estimated time-varying unit risk premium from the jump-diffusion GARCH model was 0.3625, where as during the low volatile period (01/04/1980-l1/30/1985), the time-varying unit risk premium was estimated 0.0284 from the jump diffusion GARCH model, which was about thirteen times less than that. This study seems to find the evidence that highly volatile Korean stock market may induce large time-varying risk premium from the investors and this may lead to Korea discount.

• Environmental and Resource Economics Review
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• v.28 no.2
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• pp.231-276
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• 2019

This paper analyzed the impact of the penetration of EV(electric vehicle) and FCEV(fuel cell electric vehicle) into the automobile industry, using a static CGE approach. There are contrasting view on the economic impact of EV/FCEV penetration: negative economic impact due to shrunken intermediate inputs versus positive impact because of input saving technical progress. Regarding environment, there is no clear consensus whether EV or FCEV will contribute to the reduction of $CO_2$ emissions in Korea. This study attempts to provide an answer to these questions. By giving shocks to the input coefficients of automobile industries and automobile using sectors, as well as to the final demands for energies. we integrated the Bass diffusion model into the CGE framework, The result suggests that the EV penetration has adverse impact on the $CO_2$ emission while the FCEV penetration has positive impact. On the other hand, both EV and FCEV have positive impacts on GDP. When considering automobile manufacturing sectors only, adverse impacts on $CO_2$ are demonstrated both for EV and FCEV. However, since the size of $CO_2$ increase is small, these results does not alter the overall effects.

• Information Systems Review
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• v.21 no.4
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• pp.47-68
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• 2019

As cloud services and deployment models become diverse, there are a growing number of cloud computing selection options. Therefore, financial companies need a methodology to select the appropriated cloud for each financial computing system. This study adopted the Balanced Scorecard (BSC) framework to classify factors for the introduction of cloud computing in financial companies. Using Analytic Hierarchy Process (AHP), the evaluation items are layered into the performance perspective and the cloud consideration factor and a comprehensive decision model is proposed. To verify the proposed research model, a system of financial company is divided into three: account, information, and channel system, and the result of decision making by both financial business experts and technology experts from two financial companies were collected. The result shows that some common factors are important in all systems, but most of the factors considered are very different from system to system. We expect that our methodology contributes to the spread of cloud computing adoption.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.480-488
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• 2016

As the subprime mortgage crisis spread globally, it depressed not only the financial market, but also the construction business in Korea. In fact, according to CERIK, the BSI of the construction businesses plunged from 80 points in December 2006 to 14.6 points in November 2008, and the extent of the depression in the housing sector was particularly serious. In this respect, this paper analyzes the influence of the financial market fluctuation on the housing market before and after the Global Financial Crisis using VECM. The periods from January 2000 to December 2007 and January 2008 to October 2015, before and after the financial crisis, were set as Models 1 and 2, respectively. The results are as follows. First, when the economy is good, the Gangnam housing market is an attractive one for investment. However, when it is depressed, the Gangnam housing market changes in response to the macroeconomic fluctuations. Second, the Gangbuk and Gangnam housing markets showed different responses to fluctuations in the financial market. Third, when the economy is bad, the effect of low interest rates is limited, due to the housing market risk.

• Knowledge Management Research
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• v.23 no.4
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• pp.133-157
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• 2022

As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.

• Economic Analysis
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• v.26 no.2
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• pp.1-42
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• 2020

This paper studies, from a quantity theory of money perspective, the reasons that North Korean inflation and exchange rates maintain stability while its economy is experiencing difficulties due to the international community's economic sanctions. In doing so, this paper uses both domestic and foreign currencies in an analytic model based on the quantity theory of money to cautiously reflect North Korea's dollarization as well as its management of its exchange rate. In particular, foreign currency holdings are divided into those for store-of-value purposes and those for transaction purposes. This paper shows that in the early stages, in which the amount of foreign currency holdings for store-of-value purposes is decreasing while the amount of foreign currency holdings for transaction purposes is intact, inflation and exchange rates both exhibit stable movements. In the middle stages, where the amount of foreign currency holdings for transaction purposes begins to fall, exchange rates show some increase and inflation decreases. In the final stages, when the amount of foreign currency holdings for transaction purposes significantly decreases, exchange rates and inflation both increase, and in some situations a crisis can happen. According to this paper's analysis, if the economic sanctions continue to the extent that the amount of North Korean foreign currency holdings for transaction purposes starts to fall, the exchange rate and inflation stability we see now are unlikely to be maintained.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.191-209
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• 2022

This paper is a review of studies that focus on the prediction of a won/dollar exchange rate before and after the covid 19 pandemic. The Korea economy has an unprecedent situation starting from 2021 up till 2022 where the won/dollar exchange rate has exceeded 1,400 KRW, a first time since the global financial crisis in 2008. The US Federal Reserve has raised the interest rate up to 2.5% (2022.7) called a 'Big Step' and the Korea central bank has also raised the interested rate up to 2.5% (2022.8) accordingly. In the unpredictable economic situation, the prediction of the won/dollar exchange rate has become more important than ever. The authors separated the period from 2015.Jan to 2022.Aug into three periods and built a best fitted ARIMA/ARDL prediction model using the period 1. Finally using the best the fitted prediction model, we predicted the won/dollar exchange rate for each period. The conclusions of the study were that during Period 3, when the usual relationship between exchange rates and economic factors appears, the ARDL model reflecting the variable relationship is a better predictive model, and in Period 2 of the transitional period, which deviates from the typical pattern of exchange rate and economic factors, the SARIMA model, which reflects only historical exchange rate trends, was validated as a model with a better predictive performance.