• International Commerce and Information Review
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• v.10 no.4
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• pp.125-151
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• 2008

Website service quality is widely accepted as one of the key determinants of online business success. Several studies identified key factors that determine the website service quality factors appropriate for online business environments. A convention and visitors bureau (CVB) website is a service portal that delivers information online about a destination so users can develop an overall image of the location. CVBs struggle to deliver positive destination images because the competition among destinations to host conventions is intense. In spite of the important role of CVBs and the beneficial spillover effect of CVBs, there are few studies available reporting on the unique service qualities of a CVB website. The primary purpose of this study was to examine the determining factors that are appropriate for CVB websites from the meeting planners' perspective. The research questions arc: What are the determining factors of service quality of a CVB website? Do the determining factors of CVB website service quality positively influence meeting planners' satisfaction? The new conceptual framework was developed from a variety of destination marketing and Internet marketing concepts: e-servicescape management, web community network, Internet service encounter management, and online system quality. Empirical results indicate that three of the four factors, that is, e-servicescape, web community network, and online system quality are important determinants in evaluating CVB website service quality. The findings also show that three determinants have significant and positive influence on meeting planners' satisfaction. The findings from this study will provide meaningful advice for CVB website quality management. To enhance the CVB website service quality and satisfaction level of meeting planners, these three determinants' should be considered of the utmost strategic importance and priority.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.134-143
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• 2008

The significance of the image content industry, as a flagship industry of the cultural content industry, is emerging globally as a high value-added trend. Since the movie industry has diverse related industries along with a positive spillover effect from cultural and economic perspectives, it ultimately strengthens national brands as well as national competitiveness. As a national strategy cultural content industry, the movie industry in each country around the world utilizes its own diverse self-protective systems. The Korean movie industry has emerged as a 10 million-strong movie-goer market; however, in reality, it is vulnerable to high film production costs and utility. The current domestic media market demands a new paradigm through the media industry as a whole; nonetheless, it is inherently limited to past film production and distribution channels. In this study, I seek to evaluate the status quo and propose a new direction for the Korea movie industry.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.369-386
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• 2014

The iSchool movement has been rapidly spread out since the foundation of iSchool Caucus (iCaucus) in 2005, which currently 52 schools have joined across 16 countries. This research aims to investigate the advances in this movement and its impact on education and research in the field of library and information science (LIS) in order to explore future trends in LIS education and research. To do so, this study classifies 21 ALA-accredited iSchools into three groups suggested by King (2006) and comparatively analyzes each group in terms of its temporal advances and curriculum characteristics. Moreover, as the new movement of Massive Open Online Courses (MOOCs) has been rapidly progressing with the initiative of North American schools since 2012, this study also intends to diagnose the possibility of its spillover effect in LIS education by examining application cases.

• KDI Journal of Economic Policy
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• v.32 no.3
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• pp.71-99
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• 2010

The concept of CoVaR introduced by Adrian and Brunnermeier (2009) is a useful tool to measure the risk spillover effect. It can capture the risk contribution of each institution to overall systemic risk. While Adrian and Brunnermeier rely on the quantile regression method in the estimation of CoVaR, we propose a new estimation method using parametric distribution functions such as bivariate normal and $S_U$-normal distribution functions. Based on our estimates of CoVaR for Korean banking industry, we investigate the practical usefulness of CoVaR for a systemic risk measure, and compare the estimation performance of each model. Empirical results show that bank makes a positive contribution to system risk. We also find that quantile regression and normal distribution models tend to considerably underestimate the CoVaR (in absolute value) compared to $S_U$-normal distribution model, and this underestimation becomes serious when the crisis in a financial system is assumed.

• Nano
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• v.13 no.10
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• pp.1850115.1-1850115.10
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• 2018

A novel sensor material of Au nanoparticles (NPs) functionalized 1D ${\alpha}-MoO_3$ nanobelts (NBs) was fabricated by a facile lysine-assisted approach. The obtained $Au/{\alpha}-MoO_3$ product was characterized by means of X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscope (TEM) and energy dispersive X-ray (EDX), and X-ray photoelectron spectra (XPS). Then, in order to investigate the gas sensing performances of our samples, a comparative gas sensing study was carried out on both the ${\alpha}-MoO_3$ NBs before and after Au NPs decoration by using ethanol vapor as the molecular probe. The results turned out that, after the functionalization of Au NPs, the sensor exhibited improved gas-sensing characteristics than the pure ${\alpha}-MoO_3$, such as response and recovery time, optimal operating temperature (OT) and excellent selectivity. Take for example 200 ppm of ethanol, the response/recovery times were 34 s/43 s and 5.7 s/10.5 s, respectively, while the optimal operating temperature (OT) was lower to $200^{\circ}C$ rather than $250^{\circ}C$. Besides, the functionalized sensor showed a higher response to ethanol at $200^{\circ}C$, and response was 1.6 times higher than the pure $MoO_3$. The mechanism of such improved sensing properties was interpreted, which might be attributed to the spillover effect of Au NPs and the electronic metal-support interaction.

• International Area Studies Review
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• v.14 no.3
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• pp.62-84
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• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• International Area Studies Review
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• v.18 no.3
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• pp.269-291
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• 2014

The purpose of this article is to analyze the tendency and characteristics in armed conflict in post-Cold War era on the basis of Uppsala conflict data program(UCDP) datasets. The collapse of bipolarity and the end of cold War proved a watershed in the dynamics of international conflict. The major shift in the nature of conflict has been away from interstate conflict, leaving intrastate conflict. Major powers have acted carefully against each other and been willing to understand the interests of other to avoid military confrontation and crash. As the means of termination for armed conflict, there is a stronger emphasis on the peace settlement like peace agreement and ceasefire agreement than military victory. Many intrastate conflicts become internationalized, through the involvement of diaspora communities, or regionalized through a spillover effect into neighboring countries. Since the end of the Cold War, the UN has taken a much more active role in conflict management and conflict resolution.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.79-108
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• 2017

Using data sets from the Korean Labour and Income Panel Study (KLIPS) for the period 2003-2015, this study shows that wages of nonunion workers are positively related to the percentage of unionized workers in the same geographic region. A 10 percentage point increase in a region's union density is associated with a 4.9 percent increase in the region's average wage of nonunion workers. It is also shown that this positive spillover effect is observed for various subgroups of nonunion workers, including women, youth, low-educated workers, small firm employees, and those employed under nonstandard work arrangements. In contrast, the average wage of union workers is found to respond insignificantly to changes in a region's union density.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.39-50
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• 2022

Purpose - The purpose of this study is to examine how Korea's macroeconomic factors, such as GDP, CPI, Export, Import, Unemployment rate and USD/KRW exchange rate, are affected by the oil price shocks. Design/methodology/approach - This study used monthly and quarterly time-series data of each variable for the period 1983 to 2022, consisting of two sub-periods, to employ Granger causality test and GARCH method in order to identify the role of the oil price movement in macroeconomic factors in Korea. Findings - Korea's currency rate to the US dollar is negatively correlated with the price change of crude oil while the GDP change is positively correlated with the price change of crude oil with strong relationship between Export and Import in particular. The exchange rate and GDP growth are believed to be not correlated with the oil price change for the pre-GFC period. According to the Granger causality test, the price change in crude oil has a causal impact on CPI, Export and Import while other factors are relatively slightly affected. Transmission effect from the oil price to Export is found and there also exists volatility spillover from oil price to economic variables under examination. Comparing two sub-periods, CPI and Export volatility responds negatively to shocks in the oil price for the pre-GFC period while volatility of CPI and Unemployment reacts positively to the oil price shocks for the post-GFC period. Research implications or Originality - The findings of this study could be helpful for both domestic and international investors to build their portfolio for the risk management since rising WTI price can be interpreted as a result of global economic growth and ensuing increase in the worldwide demand of the crude oil. Consequently, the national output is expected to increase and the currency is also expected to be strong in the long run.

• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.1-11
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• 2024

Farmland transaction prices are affected by various factors such as politics, society, and the economy. The purpose of this study is to identify multiple factors that affect the farmland transaction price due to changes in the actual transaction price of farmland by farmland unit from 2016 to 2020. There are several previous studies analyzed the determinants of farmland transaction prices by considering spatial dependency. However, in the case of land transactions where the time and space of the transaction affect simultaneously, if only spatial dependence is considered, there is a limitation in that it cannot reflect spatial dependence that occurs over time. In order to solve these limitations, To address these limitations, this study builds a spatio-temporal autoregressive model that simultaneously considers spatial and temporal dependencies using farmland transactions in Jinju City as an example. As a result of the analysis, it was confirmed that there was significant spatio-temporal dependence in farmland transactions within the previous 30 days. This means that if the previous farmland transaction was carried out at a high price, it has a spatio-temporal spillover effect that indirectly affects the increase in the price of other nearby farmland transactions. The study also found that various location attributes and socioeconomic attributes have a significant impact on farmland transaction prices. The spatio-temporal autoregressive model of farmland prices constructed in this study can be used to improve the prediction accuracy of farmland prices in the farmland transaction market in the future, and it is expected to be useful in drawing policy implications for stabilizing farmland prices