• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.123-139
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• 2007

Recently, Super-Super-Market(SSM) is facing more and more difficult situation due to the expansion of hypermarket and target marketing of specialized shop. In this situation, Customer Satisfaction Management(CSM) is emerging as a core business factor to make continuous growth without competitive exclusion. Especially, the first factor in CSM in distribution industry is a Service Quality Satisfaction. In this paper, with a selection of 3-markets as a sample for the research, I have tried to look for necessary Service Quality(SQ) factors in SSM and deduced Service Quality Index(SQI), loyalty and Index of detail factor in SQ through survey. Based on these results, strategic factors required to improve SQ was found and strategic directions for SQ were proposed through matrix portfolio analysis.

• ETRI Journal
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• 제20권1호
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• pp.1-15
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• 1998

The recent technological and industrial revolution dictates a new approach in constructing Korean Information Infrastructure. Lacking past data on the newly emerging markets, econometrics methodologies cannot accurately forecast future path of advanced networks, let alone dynamic impacts of public policies. In this paper, we have built a system dynamics model of the Korean Information Infrastructure and simulated diverse policy measures including market integration and government initiative in investment for experimenting their effectiveness. The most counterintuitive result of our research is that the market integration policy will facilitate CATV networks at an early stage until the year 2010, but will result in a diminished market size in the long run. With the system dynamics approach, we can enhance our understanding of the complex policy systems and get valuable insights through learning by modeling and simulation.

• Journal of Korea Trade
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• 제23권7호
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• pp.147-155
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• 2019

Purpose - As the U.S.-China trade war has become considerably worse, the Chinese government is considering applying non-tariff barriers to trade, especially local contents rule. The main purpose of this research is to check whether it is suitable for Korean investors to invest in the current Chinese capital market. Design/methodology - In order to check the stability of the recent Chinese capital market, we investigated the behavior of foreign equity investment (including Korean equity investment) in the Chinese capital market after China announced the Shanghai-Hong Kong Stock Connect (SH-HK Connect). In this paper, we researched whether international portfolio investment would or would not contribute to an increase the volatility of an emerging market's stock market (Chinese capital market) when foreign investors make investment decisions based on the objective of short-term gains by rushing into countries whose markets are booming and fleeing from countries whose markets are falling. Findings - The empirical results indicate that foreign investors show strong, negative feedback trading behavior with regard to the stock index of the Shanghai Stock Exchange (SSE), and when the performance of foreign investors in the Chinese stock market was fairly good. Also, we found evidence that the behavior of foreign investors significantly decreased volatility in SSE stock returns. Consequently, the SH-HK Connect brought on a win-win effect for both the Chinese capital market and foreign investors. Originality/value - It appeared that the Chinese capital market was very suitable for Korean investors after the China's declaration of the SH-HK Connect. However, the win-win effect was brought on by the Chinese government's aggressive capital control but the capital controls could possibly cause financial turmoil in the Chinese capital market. Therefore, Chinese reform in industrial structure and the financial sector should keep pace with suitable capital control policies.

• 한국시스템다이내믹스연구
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• 제5권2호
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• pp.67-88
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• 2004

This paper attempts to explore the generic pitfalls of the traditional number-crunching methods adopted thus far for the forecast of newly emerging market trends, and present an alternative by introducingsystems thinking to the portable Internet service market as an example, followed by its rationale as a new tool for forecasting and some reasoning about why traditional methods are no longer appropriate. Most adoption models in general to forecast market trends have several limitations due to theirbasic assumptions and prospective. First, they fail to capture dynamic interactions among the factors involved over time, with implicit assumptions of 'unilateral causality' in that each factor contributes as a cause to the effect, i.e., causality runs one way; each factor acts independently the weighting factor of each is fixed, etc. Second, the number-crunching models have no way of taking into account the impact of delayed feedback often caused by introducing new policies and legislative changes on the whole system under investigation. Third, there is not a way to reflect the effect of competition by players.

• 한국IT서비스학회지
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• 제15권2호
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• pp.21-33
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• 2016

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.

• Journal of Information Technology Applications and Management
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• 제27권4호
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• pp.21-36
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• 2020

E-commerce represents the acquisition and sale, or the transmission of funds or data through an electronic platform. E-commerce is a paradigm shift that influences marketers and customers to improve current market processes. The significant challenges in e-commerce are the accuracy and performance factors during a business transaction, which has been substantially enhanced using Cloud Computing Techniques (CCT). The growth of e-commerce management has been increased due to massive internet penetration, and particularly small and emerging companies are increasingly using this alternative as a differentiated business model. E-commerce has significant environmental impacts and highly utilized in today's market scenario. Further, the replacement has not been thoroughly explored. Current research has been carried out to describe the e-commerce scenario to analyze market trends. This study further discusses the essential variables to the performance of market models for e-commerce. For example, e-procurement of products/services, electronic supply chain management, e-distribution and selling support (supplier connections, e-fulfilment) and online e-auctions (transactional) can represent important e-commerce capabilities, which can contribute to marketing strategy implementation effectiveness, resulting in higher export performance.

• 한국산업융합학회 논문집
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• 제26권3호
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• pp.483-497
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• 2023

This study aims to provide strategic recommendations for promoting the development of the global satellite data services industry by analyzing the startup landscape. Based on the analysis of startup data, such as number of startups, market segment, and funding amount, we examined the paradigm shift in the global satellite data services market, particularly its convergence with other market segments. To this end, we derived the cumulative funding-convergence dynamics matrix, which classifies the converging areas into four quadrants by considering the growth rate of converging segments and the cumulative funding amount. In this way, we can specify converging areas in the satellite data services market that bear potential importance for the creation of new markets. The findings of this study are expected to contribute to the advancement of the satellite data services industry and facilitate the exploration of new market opportunities. Furthermore, they can serve as a valuable reference for policy makers, industry stakeholders, government officials, and researchers involved in the satellite data services industry in capitalizing on the emerging space economy.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• 무역학회지
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• 제47권3호
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• pp.211-232
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• 2022

Due to the impact of the public health event COVID-19 epidemic, the Chinese futures market showed "Black Swan". This has brought the unpredictable into the economic environment with many commodities falling by the daily limit, while gold performed well and closed in the sunshine(Yan-Li and Rui Qian-Wang, 2020). Volatility is integral part of financial market. As an emerging market and a special precious metal, it is important to forecast return of gold futures price. This study selected data of the SHFE gold futures returns and conducted an empirical analysis based on the generalised autoregressive conditional heteroskedasticity (GARCH)-type model. Comparing the statistics of AIC, SC and H-QC, ARMA (12,9) model was selected as the best model. But serial correlation in the squared returns suggests conditional heteroskedasticity. Next part we established the autoregressive moving average ARMA-GARCH-type model to analysis whether Volatility Clustering and the leverage effect exist in the Chinese gold futures market. we consider three different distributions of innovation to explain fat-tailed features of financial returns. Additionally, the error degree and prediction results of different models were evaluated in terms of mean squared error (MSE), mean absolute error (MAE), Theil inequality coefficient(TIC) and root mean-squared error (RMSE). The results show that the ARMA(12,9)-TGARCH(2,2) model under Student's t-distribution outperforms other models when predicting the Chinese gold futures return series.

• International Journal of Internet, Broadcasting and Communication
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• 제11권2호
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• pp.67-75
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• 2019

"No IP, No Content" has become a phenomenon in the content industry, high-quality IP has a strategic importance. It has become a Trinity in the movie-anime-game basic package, Competition is more intense. However, there is a tremendous amount of know-how hidden behind the use of IP to operate games well. We are worth exploring in detail. The research and analysis of digital IP market, the advantages and disadvantages will be the focus of our pragmatic research. As an emerging market in the digital industry, China has great research value. This paper analyzes the status quo of the current Chinese market by comparing the mature US and Japanese markets. For example, the research of American Disney Company analyzes the mature market structure of Japan. compared with the excellent case of the Chinese market legend of qin. By studying the current situation of China's digital market, analyzing the interest trends of the customer base, discovering existing problems and improving the accuracy of the prediction and judgment of the Chinese digital market in the future.According to the survey, the IP heat is mainly concentrated in six categories of games, animation, TV, variety, movies, and novels. At present, the most popular IP of manufacturers have three major categories. This article will conduct research and analysis on digital IP, and analyze the market status of China, the United States, and Japan and the research on outstanding representative works in the market.