• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.145-164
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• 2011

The Northeast Asia has been the fastest growing region in the world for the past few decades. And now the economic bloc maintains its status as a major powerhouse of the world economy. On the way of its economic growth, Russia and Central Asian countries have emerged as major trading partners. The Trans-Siberian Railway(TSR) has been playing a pivotal role in promoting economic cooperation between the two regions. This paper investigates economic environment of the Korean TSR service operators through the SWOT analysis, then proposes management strategies for them. For this purpose, the authors analyze characteristics and roles of the TSR service operators. In addition, a comparison of difference between service operators and shippers about their recognition of economic environment of the TSR transportation service is also carried out.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.665-675
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• 2012

The object of study is to compare the characteristics of IPTV (Internet protocol television) subscribers and digital CATV (Community antenna television) subscribers. We used the adjusted residuals. We did gang survey for 100 subscribers in Seoul, Kyeonggi or Incheon regions. Compared to digital CATV, IPTV seems to have appropriate contents for interactive services and high satisfaction level for cost, but high dissatisfaction level for channels. Digital CATV subscribers would know and subscribe passively, compared to IPTV subscribers. IPTV subscribers are more satisfied than digital CATV subscribers even though IPTV is higher cost. Main content of digital CATV is sports, which is not interactive contents. People think IPTV is an innovative service which let subscribers see wanted contents always, but digital CATV is an extension of CATV. So digital CATV cannot use advantages of interactive services. Even though two services are almost same, they are very different in recognition.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1195-1205
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• 2014

Compared with single design, powers of rank transformed statistic for testing main and interaction effects for $2{\times}2$ factorial in $4{\times}4$ latin square design are rapidly increased as effect size and replication size are increased. In general powers of rank transformed statistic are superior without regard to the diversified effect composition and the type of error distributions as nontesting factors are few and effect size are small. Powers of rank transformed statistic show much higher level than those of parametric statistic in exponential and double exponential distributions. Further powers of rank transformed statistic are very similar with those of parametric statistic in normal and uniform distributions.

• International Area Studies Review
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• v.16 no.3
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• pp.27-51
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• 2012

Among the hypotheses regarding the internal process of industrialization, the debates about 'labor-surplus' model have been intensive. The basic idea of this neoclassical theory is that industrial development is brought about by the transfer of the unlimited cheap labor to the modern sector, and thus, under the labor-surplus situation labor-using technologies should be used for industrialization. Fei and Rannis attempted to confirm this theory by applying it to the Japanese economy. The purpose of this paper is to study whether the theory can be applied to Korean economic development. The neoclassical dualistic model which was designed by Kelly and Williamson was utilized. Simulating Korea's major economic variables for the period of 1965-1992 by using computable general equilibrium (CGE) model, we found that there are significant differentials between the simulation and the actual data. It suggests that Korea's economic development has not followed the neoclassical path -- creation of comparative advantage on the basis of market force.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.143-153
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• 2021

In this paper, we propose "flexible routing with flex" to provide fast delivery by using the flexible routing for the delivery vehicle and crowd-shipper named flex. To this end, we have introduced an algorithm that can build the delivery plan for delivery vehicles and flexes. The introduced algorithm uses the 2-opt algorithm to construct routes with low complexity and acceptable quality, and the revised saving algorithm to assign customer orders to the flex. The algorithm allows the vehicle and the flex to function complement each other without separating the delivery vehicle from the flex. The experiments consider the 3 different instances named Random, Mixed, Cluster, and show that "the flexible routing with flex" has a better result than "vehicle only". The sensitivity analysis of the flex cost and time penalty shows "the flexible routing with flex" can provide better service not only to the customers who are serviced by flex but also to the customers who are serviced by the delivery vehicle.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.426-438
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• 2022

The current study explored the relative effects of reciprocal/empathic type on messages appealing to help patients with Lou Gehrig's disease and their family. By this, we attempted to examine the applicable scope of the reciprocal type, a way of appealing rationally in the delivery of helping messages. The focus was on the moderation of empathic concern trait, a representative altruistic personality. Conducted as the online experiment, empathic concern trait was measured in the first stage, and the helping messages presented each by reciprocal/empathic type were shown and evaluated in the second stage after about 7 days. The data of 134 people were finally analyzed, excluding insincere participants. As a result, the relative advantage of empathic type was shown, but it was only limited to the subject attitude. In the result of the interaction, the reciprocal type were as much or more influential as the empathic type for the individuals high in empathic concern trait.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.375-381
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• 2022

The DEA-BCC model. And the Malmquist index have been used, from static and dynamic perspectives, to measure the eco-efficiency of 30 cities and provinces in China from 2011 to 2020. The results shows that: the average static eco-efficiency of 30 cities and provinces in China is 0.643. Differences exists all over China. While Shanghai and Beijing are ecologically efficient, other 28 cities and provinces are faced with different extents of inefficiency. There are also differences among regions, which generally show the spatial distribution pattern with high efficiency in the eastern regions while low in the western regions. The Malmquist index of eco-efficiency in total 30 cities and provinces shows a healthy growth trend, and the technological progress. Acts as its main driving force. Therefore, eastern regions should enhance the. radiation capacity, strengthen the synergy among regions, give full play to. The advantages of each regions. It is sensible to improve the eco-efficiency by means of optimizing the industrial structure, enhancing the technological level and improving eco-efficiency of China and realizing green development.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.15-36
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• 2021

The airline industry faces with significant competition due to the rise of technology innovation and diversified customer needs. Therefore, continuous quality management is essential to gain competitive advantages. For this reason, there have been various studies to measure and manage service quality using customer reviews. However, previous studies have focused on measuring customer satisfaction only, neglecting systematic management between customer expectations and perception based on customer reviews. In response, this study suggests a framework to identify relevant criteria for service quality management, measure the importance, and assess the customer perception based on customer reviews. Machine learning techniques, topic models, and sentiment analysis are used for this study. This study can be used as an important strategic tool for evaluating service quality by identifying important factors for airline customer satisfaction while presenting a framework for identifying each airline's current service level.

• The Journal of Bigdata
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• v.7 no.2
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• pp.43-73
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• 2022

In order to improve productivity, reduce costs, and improve decision-making efficiency, which are one of the main contents of the digital transformation promotion goal, many companies are promoting the introduction of various IT for digital transformation. Information technology (IT) is a key means of determining competitiveness, and the IT adoption worldwide is increasing every year. The financial industry is also actively introducing huge amounts of IT every year to generate profits, improve work efficiency, and secure a strategic competitive advantage. Compared to some studies on the IT adoption in the public and corporate sectors, empirical studies that reflect the characteristics of the financial industry are insufficient. In this study, the purpose of this study was to derive factors affecting the IT adoption in the financial industry for the promotion of digital transformation, and to analyze weights and priorities. By revealing through data analysis that there is a difference in the relative priorities of factors in the financial IT adoption for each group, it can be used as a reference model for which factors should be considered prior to IT adoption from the perspective of each group. It will be meaningful in that it exists.

• Management & Information Systems Review
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• v.30 no.2
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• pp.237-255
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• 2011

This empirical study is focused on practical application of Range-Based Volatility which is estimated by opening, high, low, closing price of overall asset. Especially proper forecasting period is what I want to know. There is four useful Range-Based Volatility(RV) such as Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). So, four RV of KOPSI 200 index during 2000.5.22-2009.9.18 was used for empirical test. The emprirical result as follows. First, the best RV which shows the best forecasting performance is PK volatility among PK, GK, RS, YZ volatility. According to estimating period forcasting performance of RV shows delicate difference. PK has better performance in the period with financial crisis of sub-prime mortgage loan. if not, RS is better. Second, almost result shows better performance on forecasting volatility without sub-prime mortgage loan period. so we can say that forecasting performance is lower when historical volatiltiy is comparatively high. Finally, I find that longer estimating period in AR(1) and MA(1) model can reduce forecasting error. More interesting point is that the result shows rapid decrease form 60 days to 90 days and there is no more after 90 days. So, if we forecast the volatility using Range-Based volaility it is better to estimate with 90 trading period or over 90 days.