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Development of Korean Market Simulator (한국형 Market Simulator 개발)

  • Hur, Jin;Kang, Dong-Joo;Kook, Kyung-Soo;Kim, Tai-Hyun;Lee, Jeong-Ho;Moon, Young-Hwan
    • Proceedings of the KIEE Conference
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    • 2002.11b
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    • pp.108-110
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    • 2002
  • Power System deregulation has become a worldwide trend which introduces competition in electric power system in order to realize efficient electricity production and investment. In this regard, it is very important to develop an electricity market simulator so that it is to analyze power market and study bidding strategies, market operation and market power and train market participants. In this paper, we introduce general functions and a structure of market simulator, also design the framework of the Korean market simulator based on core concepts of electricity market simulator.

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Effect of Market-Wholesaler System on Market Expansion, Re-transaction Intention, and Recommendation Intention

  • ROH, Gye-Ho;YI, Jong-Hyun;CHO, Young-Sam
    • Journal of Distribution Science
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    • v.18 no.5
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    • pp.99-109
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    • 2020
  • Purpose: This study aims to develop and empirically analyze a research model in order to comprehend the relationship among the service quality of market-wholesaler system, re-transaction intention, and recommendation intention of forwarder. Further, we suggest new six factors reflecting the service quality of market-wholesaler system and highlight market expansion of forwarder as a mechanism in the relationship. Research design, data and methodology: The authors developed the new scales measuring the service quality of market-wholesaler system (i.e. trade price, price fluctuation, payment receipt, settlement period, trade information, and customer service) and conducted a cross-sectional survey for 439 forwarders in a wholesale market. And then we performed a series of path analyses to test hypotheses. The hypotheses are as follows. [H1] The service quality of market-wholesaler system will positively affect forwarders' market expansion, [H2] Forwarders' market expansion will positively affect their re-transaction intention, [H3] Forwarders' market expansion will positively affect their recommendation intention, [H4] Forwarders' re-transaction intention will positively affect their recommendation intention. Results: The results showed that all the six factors for the service quality of market-wholesaler system were positively related to market expansion of forwarders. There was a differential effectiveness in the six factors of the service quality. More specifically, the positive effect of customer service factor was the strongest on market expansion of forwarders. And the respective effects of trade price, price fluctuation, settlement period, trade information factors were followed in order. The positive effect of payment receipt factor was the weakest on market expansion of forwarders. Also, market expansion of forwarders was positively related to their re-transaction intention and recommendation intention. Furthermore, market expansion of forwarders was indirectly related to recommendation intention through re-transaction intention as well. Conclusions: The research findings provide important theoretical and practical implications. This study is the first to attempt to test the perception of forwarders for the service quality of market-wholesaler system by developing and using the new scales. Also, there has been a sharp controversy about the effectiveness of market-wholesaler system. The findings support that market-wholesaler system would be activated by empirically verifying the effectiveness of the service quality on the various outcomes.

The Present and Future of the Food Market in Northeast Asia: Confectionery Markets

  • Jeong, Han-Na-Ra;Moon, Junghoon
    • Agribusiness and Information Management
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    • v.4 no.1
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    • pp.41-47
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    • 2012
  • The Asian food market has been growing recently, due to the role played by major Asian countries, which include Korea, China, and Japan. This study is purposed to investigate the potential of the food market in these Northeast Asian countries and to suggest future direction for global food companies. For in-depth analysis, this study is limited in scope to the confectionery market and analyzes that market within two frameworks: first, the 'Market Attractiveness Matrix' which transforms the 'BCG Matrix' to fit into the food market in order to analyze the flow in the Asian confectionery market; and second, analysis of the potential growth of the market using a Category Development Index (CDI), which aids in understanding the growth potential of a market. The European food market has recently reached its capacity and is now experiencing a low growth rate (Data Monitor, 2011). It is time for food companies to find a new 'blue ocean' to avoid fierce competition in the mature markets of Europe. Therefore, this analysis of the confectionery market, using the Market Attractiveness Matrix and CDI will suggest opportune directions for global food companies.

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The Optimal Timing of Markdowns: A Decision Model for Jean Market (가격인하 최적시기 연구: Jean Market을 대상으로 한 Decision Model를 중심으로)

  • 곽영식;김용준;남용식;이진화
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.5
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    • pp.606-617
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    • 2002
  • The purpose of this study is to develop a decision model that helps manufacturers and retailers determine the optimal timing of markdown in order to maximize their profit. An optimal timing decision model was developed based on three steps; conjoint measurement, scenario analysis and simulation. Data were collected from the sample of 149 out of 170 undergraduate and graduate students in Seoul in 1997. From the Jeans market, 8 brands; Levi's, lee, Guess, Calvin Klein, Pintos, Get used, MFG, and Basic, were selected as competitors for this study. In the conjoint measurement, respondents estimated the level of preference, from 1 to 100, for each item in which brand, price, style, and colors were used to explain product characteristics. Then, in order to reflect competitive situation in Jeans market, four types of scenarios were developed. In each scenario, simulations were applied to decide optimal timing of markdowns that leads to maximal profitability and sales volume. The profit was calculated based on the equation; Profit = Jean's market volume x market share of each brand - cost, where market volume was obtained by integral calculus for market utility function, and market share by logit value of part-worth from the conjoint analysis. For the purpose of the parsimony of the research, costs and the level of markdown were fixed to 30% of the regular price. In results, the optimal timing decision model identified 3 different types of brands. The brands that do not need to take markdown were Ievi's, MFG, and Basic Jeans characterized by the highest brand power and the highest price zone. The brands that needed to take early markdowns were Guess, Lee, Calvin Klein, and Get Used with the intermediate level of brand power and price. The brand that need late markdown was Pintos with the weakest brand power among the competitors and the lowest price. The optimal range of markdown remains for further research.

A Study on Forecasting Model based Weighted Moving Average for Cable TV Advertising Market (가중이동평균법을 이용한 케이블TV 광고시장에 대한 예측모형 개발)

  • Cho, Jae Hyung;Kim, Ho Young
    • The Journal of Information Systems
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    • v.25 no.2
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    • pp.153-171
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    • 2016
  • Purpose This study suggests the development of forecasting model for local cable TV advertisement. In order to verify the expected effect of the suggestion, using the causal loop map of System Dynamics, the factors affecting the prospects of cable TV commercial market were divided into 5 groups. Then targeting 97 people involved in the cable TV commercial market in Busan, Ulsan, and Gyeongnam, a survey was conducted on their perception of the current status of local advertisement market and future prospect. Design/methodology/approach The analysis of the collected data shows that workers in advertising and advertisers perceive the influence of cable TV as an advertising media to be high, while clearly understanding the problems of cable TV commercial market. Based on this the effects on the prospects of cable TV commercial market were analyzed and a forecasting method called Weighted Moving Average was applied. In order to improve accuracy of the added value of Weighted Moving Average, the 5 factors were divided into qualitative factors and quantitative factors, and using Multi-attribute Decision Making method, all the factors were normalized and weighting factors were deduced. The result of simulating the prospects of cable TV commercial market using Weighted Moving Average, both qualitative and quantitative factors showed downward turn in the market prospect for the following 10 years. Findings The result reflects generally negative perception of advertisement viewers about the prospects of cable TV commercial market. Compared to the previous studies on domestic cable TV commercials that focused on policy suggestions and surveys on perception of current status, this study has its significance in that it used scientific method and simulation for verification.

Analysis of Market Share using Brand Switching Matrix in the Korean Mobile Market (상표전환행렬을 이용한 이동통신 시장점유율 분석)

  • Seong, Gi Seong;Kang, Man Su;Suk, Yeung Ki
    • The Journal of the Korea Contents Association
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    • v.14 no.6
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    • pp.385-396
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    • 2014
  • In the Korean mobile market, the mobile phone has reach the stage of maturity in terms of demand. Since the long-term evolution(LTE) service was introduced in 2011, there have been drastic changes in the market structure. The purpose of this paper is to examine the user intension of brand switching, to analyse the market share among 3 major mobile service companies using the brand switching matrix and to provide some insights. The results show that the smartphone subscriber rate provided by Ministry of Science, lCT and Future Planning agrees with the market share by brand switching matrix of this study. The potential rate of costumer retention would be arranges in order of SKT>KT>LGU+. The preference of mobile service company on switch be in order of SKT>KT>LGU+. The future market share be SKT 63.55%, KT 21.99%, LGU+ 14.36%. The potential rate of costumer retention fell sharply over the past year, suggesting the drastic fluctuations in market share for a while.

The Effect of Corporate Social Responsibility Disclosure on Market Performance: Evidence from Jordan

  • ZRAQAT, Omar;ZUREIGAT, Qasim;AL-RAWASHDEH, Hani Ali;OKOUR, Samer Mohammed;HUSSIEN, Lina Fuad;AL-BAWAB, Atef Aqeel
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.453-463
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    • 2021
  • The current study aims to investigate the relationship between CSRD and firm performance, as an indicator for corporate socially responsible behavior, and corporate market performance of listed companies on the Amman stock exchange (ASE). The study adopts a quantitative methodology and utilizes pooled data sets that was collected following content analysis approach of the annual reports for the period 2014 to 2019. The study sample consists of 42 listed companies. The study ran a multiple regression model in order to capture the relationship between the independent variable CSRD and the dependent variable that is Firm performance which was measured using Tobin's Q. The study also utilized five control variables in order to control the hypothesized relationship between CSRD and Firm Performance. The results indicate a negative but significant relationship between CSRD and corporate market performance measured by Tobin's Q. The results stand against the notion of the business case for CSR, and indicate the opposite position, so, the higher CSRD, the lower will be Tobin's Q. Such results support the notion of the institutional theory, and provide an initial evidence for legitimacy seeking behavior in Jordanian companies. However, the results indicate a lower level of awareness of CSR across investors and market players, which support arguments of the difference in market perceptions towards CSR.

A Stochastic Model for Order Book Dynamics: An Application to Korean Stock Index Futures

  • Lee, Yongjae;Kim, Woo Chang
    • Management Science and Financial Engineering
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    • v.19 no.1
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    • pp.37-41
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    • 2013
  • This study presents an application of stochastic model for limit order book (LOB) dynamics to Korean Stock Index Futures (KOSPI 200 Futures). Since KOSPI 200 futures market is widely known as one of the most liquid markets in the world, direct application of an existing model is hardly possible. Therefore, we modified an existing model to successfully model and predict the dynamics of extremely liquid KOSPI 200 futures market.

The Trend and forecast of Civil Aircraft market (세계 민간 항공기 시장 동향과 전망)

  • Chang, Tae-Jin
    • Current Industrial and Technological Trends in Aerospace
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    • v.8 no.1
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    • pp.12-22
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    • 2010
  • The great recession which caused by financial crisis made steep rise of oil price and the serious problems of the aircraft industry. High oil price increases operating cost and the recession decreases air traffic. After a period of high book order and delivery from global economic recovery, the aircraft order fell down suddenly. Also the Aircraft price and lease rate deceased and the MRO market is reduced, too. But, the air cargo and passenger increase again since late of 2009. So, it is difficult to predict the market movement, most of the forecasters agreed that the air traffic and aircraft demand will grow gradually in long term with the growth of emerging markets like China, India and Africa. And more efficient, safe and clean aircraft is needed and will need in the market.

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Splitting Algorithm Using Total Information Gain for a Market Segmentation Problem

  • Kim, Jae-Kyeong;Kim, Chang-Kwon;Kim, Soung-Hie
    • Journal of the Korean Operations Research and Management Science Society
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    • v.18 no.2
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    • pp.183-203
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    • 1993
  • One of the most difficult and time-consuming stages in the development of the knowledge-based system is a knowledge acquisition. A splitting algorithm is developed to infer a rule-tree which can be converted to a rule-typed knowledge. A market segmentation may be performed in order to establish market strategy suitable to each market segment. As the sales data of a product market is probabilistic and noisy, it becomes necessary to prune the rule-tree-at an acceptable level while generating a rule-tree. A splitting algorithm is developed using the pruning measure based on a total amount of information gain and the measure of existing algorithms. A user can easily adjust the size of the resulting rule-tree according to his(her) preferences and problem domains. The algorithm is applied to a market segmentation problem of a medium-large computer market. The algorithm is illustrated step by step with a sales data of a computer market and is analyzed.

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