• Korea Journal of Hospital Management
• /
• v.5 no.2
• /
• pp.1-21
• /
• 2000

This study was to examine the degree of market orientated effort by hospital type and size,. and analyzed the moderating effect of environments between market orientation and it's performance. First, there was no significant differences by hospital type, such public hospital, university hospital, and private hospital. However, the orders of market orientation implementation was university hospital. private hospital, and public hospital This finding suggest that university hospital and public hospital, should be market-oriented, or customer-oriented more now, relatively. Second, there were no significant differences in marketing as management policy by hospital types, i.e. public, university or private sector hospitals. However, as to the intensity of the implementation of the market-oriented approach, private hospitals came first, followed by the university hospitals, then the public ones. This finding suggests that university and public hospitals should be more market or customer oriented to compete in the market. Third, only the competitive environment does active moderating roll on hospital performance. The competitive environmental factor forces the organization to be more market oriented. This means the more you are positively situated in the competitive environment, the more you are looking for a market oriented approach. You become more aware of the value of customers and you become more focused on the customer satisfaction and thus become more patient oriented in every facet of decision making. And market oriented hospitals recognize the importance of utilization of high tech medical treatment skills and equipment in patient care. Fourth, according the analysis, market oriented effort gives more influence on hospital performance than the environmental factors. This means that the market oriented effort should become a culture of the hospital which seeks to out distance themselves from its competitors.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.2
• /
• pp.256-263
• /
• 2009

For the power system to keep in a stable operating state, sufficient ancillary services must be available to respond to credible contingency events and return the power system to a satisfactory operating state in the case of contingencies as well as blackout events within specified predefined limits. The logical and reasonable bases of valuing and pricing the ancillary services are required to reach the common ground among market participants. The total amount of black start service transactions is quite small compared to the total ancillary service transactions as well as energy market transactions. Black start services must be provided as one of the ancillary services in the deregulated electricity market. In order to procure and remunerate black start services, it is necessary to quantify the value of the black start sources within the power system. In this paper, an approach to assess the value of the black start service is presented based on the cost-of-service solution. Financial simulation of the influence on market participants for the proposed approach on the service is carried out. The cost of the black start service is allocated in accordance with the principle of "causer pays", and the cost is shared by the producers and consumers equally that created the requirement for the service. Under the present electricity market, the mechanism to recover the cost is not implemented, a new approach to the ancillary services to provide incentive for the service providers has to be studied in the near future.

• Journal of the Economic Geographical Society of Korea
• /
• v.14 no.2
• /
• pp.129-142
• /
• 2011

This study investigates the patterns of labor market polarization and analyzes the characteristics and roles of regional labor market in the structuring process of the polarization in the metropolitan areas of Korea. The labor market polarization plays a role of key mechanism for deepening social exclusion in the area through expanding low-pay jobs and working poor. It is of great significance to adopt a spatial approach of local labor market in order to understand underlying dynamics of labor market polarization. Especially it is necessary to develop a more differentiated and systematic policy options based on the analysis of labor market polarization in the metropolitan areas of Korea. It is because understanding spatial differentiation of labor market dynamics is essential to figure out the structuring processes of poverty and sociall exclusion in the metropolican labor market in Korea.

• IE interfaces
• /
• v.15 no.4
• /
• pp.409-425
• /
• 2002

This case study provides a market analysis methodology for overseas markets by applying statistical tools and the Six Sigma approach. The study suggests a procedure with seven steps to improve brands position in the market. These steps consist of interviewing consumers and floor salesmen of stores, surveying, analysis of correlation between brand position and customers satisfaction, analysis of relationship with companies and customer satisfaction factors, analysis of the customer satisfaction gap between companies, evaluating the importance of customer satisfaction factors, and suggestion for enhancement of brand position. The Six Sigma approach such as "Define", "Measure" and "Analyze" is used in this procedure, which is part of Six Sigma procedure, D-M-A-I-C (Define, Measure, Analyze, Improve, Control). Minitab and SAS are used for the statistical analysis.

• Industrial Engineering and Management Systems
• /
• v.13 no.4
• /
• pp.421-431
• /
• 2014

The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-start problem. The binary logistic regression approach may not function appropriately if the principal components are inefficient for the cold-start problem. Assuming that the market basket data can also be considered as a special regression problem whose response is either 0 or 1, we propose three supervised learning approaches: random forest regression, random forest classification, and elastic net to tackle the cold-start problem, comparing the performance in a variety of experimental settings. The experimental results show that the proposed supervised learning approaches outperform the conventional approaches.

• Korean System Dynamics Review
• /
• v.13 no.2
• /
• pp.5-23
• /
• 2012

This paper studies dynamic relationship between cash market, forward market, and options market, from the perspective of systems thinking. It is shown that an exogenous shock to forward market can yield almost the same impact to the cash market, given a practically reasonable condition, but not vice versa. As far as options market is concerned, it matters what kind of options we deal with, who are long the option, and whether the option market maker performs dynamic hedging or not. In some cases, it is possible for the spot price to become unstable and diverge rather violently due to a strong negative feedback between the markets.

• Journal of Information Technology Services
• /
• v.21 no.4
• /
• pp.105-122
• /
• 2022

NFTs, which guarantee ownership of digital files using blockchain technology, are the new field for the content industry. The NFT provided new opportunities for content creators to trade digital contents without going through mediation freely. Additionally, collectors and investors can safely and easily own their works without the threat of illegal copies. However, since only a limited number of content creators are participating in the NFT market, there needs to be an influx of various content creators and a process of popularization for this market to grow and develop into the main stage. Furthermore, research on NFT has been limited, and understanding the drivers of creators choosing to participate in NFT is insufficient. Thus, this study aims to identify the factors affecting content creators participating in NFT by applying a mixed-methods approach and presenting practical implications. Using topic modeling and in-depth interviews, this study derives the positive and negative factors and suggests strategies to activate content creators' participation in the NFT market. Through this, we can guide that management implication to reduce the risks and costs of participating in NFTs is needed to encourage the participation of creators. It will also provide insight into ways to develop the NFT content market.

• Asia-Pacific Journal of Business
• /
• v.15 no.3
• /
• pp.431-448
• /
• 2024

Purpose - This study aims to explore the return characteristics of asset growth factors in the Korean stock marekt by employing the representativeness heuristic-a behavioral bias originally identified by Kahneman and Tversky(1972). Design/methodology/approach - Our empirical analysis, based on Korean stock market data from 2004 to 2023, compared the conditional probability of high asset growth companies achieving elevated returns to the overall probability. This assessment helps gauge the representativeness of potential 'future Google' companies. Additionally, we use regression models to explore investor behavior and market anomalies in the stock returns. Findings - The findings suggest that when dividing the sample period into phases with high and low representativeness measures, biases significantly impact asset growth factors. Specifically, during high representativeness preiods, stock price reversals were absent among high asset growth companies. Conversely, during low representativeness periods, stock price drifts become evident. Research implications or Originality - This research contributes to the field of behavioral finance by providing empirical evidence of the impact of cognitive biases on asset growth and stock returns in an emerging market like Korea. It highlights the need for investors and policymakers to consider psychological factors when analyzing market behaviors, potentially leading to more informed investment strategies and regulatory frameworks.

• The Journal of Asian Finance, Economics and Business
• /
• v.1 no.1
• /
• pp.15-21
• /
• 2014

This study investigates extensively the integration of various segments of financial markets (i.e. money market, lending and deposit market, exchange rate market, and capital market) both domestically and internationally. Cointegration approach is employed in the study to find out long term relationship among the variables. Data are on a monthly interval for the period spreads over 2001 to 2010. The results show no evidence of cointegration between money market and exchange rate market and between capital market and exchange rate market of Pakistan. On the other hand, international financial markets integration is also investigated and the findings revealed that domestic money market rates of Pakistan and USA are not cointegrated. Whereas, an evidence of cointegration between capital markets of Pakistan and USA is found in this study.

• International Commerce and Information Review
• /
• v.9 no.1
• /
• pp.277-295
• /
• 2007

This paper presents the ODR phenomenon with a specific focus on regulatory problems. It argues that the current regulatory framework for online dispute resolution is, to a large extent, defective. Existing deficiencies result not only from a lack of comprehensive ODR law, but also from the weakness of the other modalities of regulation : norms and market. The current today's approach to regulating ODR has been unsuccessful, and it is time to re-examine that position. I would like to say that suggesting details of the optimal ODR regulatory framework is beyond the scope of this paper. From a broader perspective, the field of ODR seems to be not sufficiently regulated. Neither by law, nor by the restrains set by other norms or market. Given the current weakness of the modalities of regulation, online dispute resolution requires greater institutional and international support. It appears that adoption of internationally harmonized ODR law would not hamper the development of norms and market, but rather support their proper growth. As a result, the co-regulation approach recommended in this paper is different from both traditional state-oriented models of regulation and self-regulatory systems. Arguably, this co-regulation approach is the optimal model for regulation of online dispute resolution under current circumstances.