• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.269-275
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• 2019

This study intended to examine the relationship between inflation and unemployment rate in Indonesia during 1987 to 2018 period. The study applied a quantitative method using Vector Error Correction Model (VECM) in order to comprehensively understand the causality between inflation and unemployment rates. The data were collected from various main sources including the World Bank, Central Bank of Indonesia, and Central Bureau of Statistics (BPS). The findings showed that inflation has a one-way relationship toward unemployment in Indonesia and it occurs at the third lag. Impulse Response Function (IRF), shows that the inflation rate are fluctuating in response to the shock of unemployment. The unemployment rate responses to shocks from inflation initially increased until it is eventually diminished. It shows that the shocks caused by the impact of inflation were only in the short term. Further, inflation in the three previous lags will have consequences for the unemployment rate in the year. Lastly, both in the long run and short run, unemployment did not affect inflation rates. These findings suggest that high inflation in Indonesia is determined the rising price of basic commodities and fuel. In addition, most companies in Indonesia applying capital intensive so that employment growth in Indonesia is small.

• International Journal of Naval Architecture and Ocean Engineering
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• v.3 no.3
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• pp.181-192
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• 2011

Recently, the speed of change related with enterprise management is getting faster than ever owing to the competition among companies, technique diffusion, shortening of product lifecycle, excessive supply of market. For the example, the compliance condition (such as delivery date, product quality, etc.) from the ship owner is getting complicated and the needs for the new product such as FPSO, FSRU are coming to fore. This paradigm shift emphasize the rapid response rather than the competitive price, flexibility and agility rather than effective and optimal perspective for the domestic shipbuilding company. So, domestic shipbuilding companies have to secure agile and flexible ship production environment that could respond change of market and requirements of customers in order to continue a competitive edge in the world market. In this paper, I'm going to define a standard shipbuilding production management system by investigating the environment of domestic major shipbuilding companies. Also, I'm going to propose a unified ship production management and system for the operation of unified management through detail analysis of the activities and the data flow of ship production management. And, the system functions for the strategic approach of ship production management are investigated through the business administration tools such as performance pyramid, VDT and BSC. Lastly, the research of applying strategic KPI to the digital shipyard as virtual execution platform is conducted.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.672-680
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• 2003

A shopbot is a software agent whose goal is to maximize buyer´s satisfaction through automatically gathering the price and quality information of goods as well as the services from on-line sellers. In the response to shopbots´ activities, sellers on the Internet need the agents called pricebots that can help them maximize their own profits. In this paper we adopts Q-learning, one of the model-free reinforcement learning methods as a price-setting algorithm of pricebots. A Q-learned agent increases profitability and eliminates the cyclic price wars when compared with the agents using the myoptimal (myopically optimal) pricing strategy Q-teaming needs to select a sequence of state-action fairs for the convergence of Q-teaming. When the uniform random method in selecting state-action pairs is used, the number of accesses to the Q-tables to obtain the optimal Q-values is quite large. Therefore, it is not appropriate for universal on-line learning in a real world environment. This phenomenon occurs because the uniform random selection reflects the uncertainty of exploitation for the optimal policy. In this paper, we propose a Mixed Nonstationary Policy (MNP), which consists of both the auxiliary Markov process and the original Markov process. MNP tries to keep balance of exploration and exploitation in reinforcement learning. Our experiment results show that the Q-learning agent using MNP converges to the optimal Q-values about 2.6 time faster than the uniform random selection on the average.

• Korean Journal of Agricultural Science
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• v.10 no.2
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• pp.393-405
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• 1983

The demand for livestock and poultry products including beef, pork, chicken, egg and milk whose income elasticities are relatively higher than other staple foods, has been increased significantly during the past two decades in response to the remarkable increase in per capita GNP. This trend will be continued during the fifth and the sixth five year economic development plan period beginning with 1982. The annual GNP growth rate will be 7.5% on the average during the next 10 years. It is greatly needed to estimate the demand for beef, pork, chicken egg and milk and to study the feasibilities of domestic production of livestock products for the formulation of adequate policies in order to equate the consumption and the production during the 1980s. So this study reviewed the possible changes in the food consumption patterns during the 1980s, estimated the demand for beef, pork, chicken, egg and milk by using empirical demand functions and finally made suggestions for the formulation of long term price stabilization policies for each livestock, poultry and dairy products through the equilibrium of the quantity of demand for and supply of the products. There are many factors affecting the demand for meats, but this study considered own price, prices of supplements and substitutes and per capita income as the independent variables in the demand equations. It was found that it's own price and income were most significantly affecting factors among others and the degree of substitution effects were remarkably different among the products. According to the meat demand derived in this study, per capita consumption of beef, pork and chicken in the base year 1982 was 11.2kg for total meat, 2.5kg beef, 6.0kg pork and 2.5kg chicken, 106 pieces egg, 15.1kg milk respectively, while those in 1991 were 19.3kg for total meat, 4.8kg beef, 9.6kg pork, 4.9kg chicken, 133pieces egg and 44.1kg milk. It is also predicted through this study that, when the level of production costs be maintained, the domestic production of pork and chicken will meet the demand for them during the fifth and sixth five year economic plan period. However, there will be chronic shortage of beef supply during the coming years. The annual import requirement will be 30,000tons to 40,000tons during the period. In order to stabilize the domestic livestock and poultry and dairy products market, the government should introduce measures to curb the increase in beef consumption by encouraging the consumption of pork and chicken. For this, the livestock production policy measures should be concentrated on : 1) the improvement of infrastructures of beef production by introducing advanced feeding and management technology, subsidies for the establishment of facilities and price support programs for farmers : 2) the development of dairy beef : 3) the reinforcement of the forecast systems for pork and chicken production and consumption.

• Journal of the Korean Society of Food Culture
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• v.15 no.2
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• pp.79-94
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• 2000

The purposes of this study were to : (a) analyze university students' perception and patronage behaviors to the service quality dimensions, and (b) assist university residence hall foodservices in formulating improved managerial strategies. Questionnaires were hand delivered and mailed to 1,210 university students residing in the residence hall and 13 foodservice managers. A total of 1,011 was usable; resulting in 83.6% response rate. The survey was conducted between October, 1998 and May, 1999. Statistical data analysis was completed using the SAS/Win 6.12 for Descriptive Analysis, $x^2-test$, T-test, ANOVA, and Stepwise Multiple Regression. Forty-seven percent of the respondents indicated that 'taste' was their first priority when choosing a menu. The reasons behind choosing residence hall foodservice were 'location', 'board plan', 'price', 'taste', 'opening hours', and 'menu variety'. The main reasons of dissatisfaction with the residence hall foodservice were 'board plan', 'taste', 'menu variety'. The overall satisfaction score was 2.99 out of 5. The satisfaction score of ${\ulcorner}convenience{\lrcorner}$, ${\ulcorner}food\;quality{\lrcorner}$ and ${\ulcorner}menu\;variety{\lrcorner}$were 3.25, 2.94 and 2.76, respectively. Generally, male students were more satisfied than females. Graduate students and students living in residence halls over six semesters were the most dissatisfied with the residence hall foodservice. Residence hall students were dissatisfied with the variables ${\ulcorner}menu\;variety{\lrcorner}$ and ${\ulcorner}facilities{\lrcorner}$in 'self-operated' operations, whereas ${\ulcorner}food\;quality{\lrcorner}$, ${\ulcorner}menu\;variety{\lrcorner}$ and ${\ulcorner}price{\lrcorner}$ in 'contracted' operations. Foodservice operations with 'less than 1,000 meals serving per day' was the highest satisfaction score(3.36) among other serving sizes. Meal price with 'less than 1,300 won' was most satisfied with students. When overall customer satisfaction and service quality dimensions were analyzed by Stepwise Multiple Regression ${\ulcorner}food\;quality{\lrcorner}$(p<.001), ${\ulcorner}price{\lrcorner}$(p<.001), ${\ulcorner}facilities{\lrcorner}$(p<.001), ${\ulcorner}convenience{\lrcorner}$(p<.001), ${\ulcorner}menu\;variety{\lrcorner}$(p<.001), ${\ulcorner}manager's\;attitude{\lrcorner}$(p<.0l), and ${\ulcorner}atmosphere{\lrcorner}$(p<.01), in decreasing order, significantly impacted on ${\ulcorner}overall\;customer\;satisfaction{\lrcorner}$.

• Archives of design research
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• v.16 no.4
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• pp.423-432
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• 2003

The purpose of this study is to build user's psychological response process model on design evaluation. Users firstly evaluate design factors such as form, structure, texture and colors which are basic elements of product design. These factors, however are affected by product's situational factors, user's individual factors and environmental factors. That is, even same design can be evaluated differently by users according to product's situational factors such as price level, brand prestige level and marketing programs, and user's individual factors such as tastes, involvement level, personality, lifestyles and demographics, and environmental factors such as culture, sub-culture, social class, reference group and family and so on. Understanding how users evaluate product design is necessary to increase the possibility to create user-preferring design and also is the starting point of user-based design and design marketing. In the future researches, it is necessary to examine more factors which are not included in the study and to find out the relationship between factors affecting user's evaluation on design and user's psychological response.

• Journal of Radiation Protection and Research
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• v.36 no.1
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• pp.35-43
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• 2011

The PHENIX Experiment is the largest of the four experiments that have taken data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons. The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma. Among many particles, muons coming from W-boson decay gives us key information to analyze the spin of proton. Resistive plate chambers are proposed as a suitable solution as a muon trigger because of their fast response and good time resolution, flexibility in signal readout, robustness and the relatively low cost of production. The RPC detectors for upgrade were assembled and their performances were evaluated. The procedure to make the detectors better was optimized and described in detail in this thesis. The code based on ROOT was written and by using this the performance of the detectors made was evaluated, and all of the modules for north muon arm met the criteria and installation at PHENIX completed in November 2009. As RPC detectors that we made showed fast response, capacity of covering wide area with a resonable price and good spatial resolution, this will give the opportunity for applications, such as diagnosis and customs inspection system.

• Environmental and Resource Economics Review
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• v.19 no.4
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• pp.915-961
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• 2010

This study is concerned with health damages from $SO_2$ under different assumptions on the relationship between air concentrations and their marginal health impacts. $SO_2$ concentration profiles resulting under emission caps, and a system of tradable emission allowances are compared. Using slopes and curvatures of the health response function consistent with evidence in medical literature, emission caps are shown to lead to lower aggregate damages under all considered parameters, an advantage of $26~452 million. The benefit of emission caps over tradable allowances increases with the curvature of the response function, but falls with its slope. The advantage of emission caps in terms of environmental damages is never overturned completely for the considered functional forms. The marginal damage function would have to be steeper than what the current medical evidence suggests for price instruments to outperform emission caps in terms of aggregate damages. With other welfare consequences included-emission abatement costs, consumer and producer surpluses, and government revenue-emission caps always lead to a $3.7~4.1 billion greater measure of social welfare.

• Journal of Korea Trade
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• v.23 no.5
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• pp.87-101
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• 2019

Purpose - This paper examines the effectiveness of the foreign exchange risk insurance system in the promotion of SME exports in Korea. The purpose of this study is to analyze the short-term and long-term responses of SME exports to foreign exchange risk insurance support policies. Based on these empirical studies, we would like to present some operational improvements to the operation of the foreign exchange risk insurance system. Design/methodology - In order to analyze the effect of exchange risk insurance on the exports of SMEs, a VAR model consisting of foreign exchange risk insurance underwriting values, export relative price, and domestic demand pressure, including export volume, was established. The study began with tests of the stationarity of time series data. The unit root tests showed that all concerned variables were non-stationary. Accordingly, the results of the cointegration test showed that the tested variables are not cointegrated. Finally, an impulse response function and variance decomposition analysis were conducted to analyze the impulse of foreign exchange risk insurance on exports of SMEs. Findings - As a result of estimating the VAR (1) model, foreign exchange risk insurance was found to be significant at a 1% significance level for SME' export promotion. In the impulse response analysis, SMEs' export response to the impulse of foreign exchange risk insurance showed that exports gradually increased until the third quarter, and then slowed down. However, the impulse did not disappear, and appeared continuously. Originality/value - This study analyzed the effect of foreign exchange insurance on exports of SMEs by applying the VAR model. In particular, this study is the first to analyze the short-term and long-term effects of foreign exchange risk insurance on exports of SMEs. The empirical evidence in the current study have a policy implication for the policy authority to support and promote the foreign exchange risk insurance in the effect of exchange rate volatility on Korea' export SMEs.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.323-330
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• 2013

The number of domestic smartphone users exceeded 30 million people, and the time in the future everyone will use a smartphone that will come with ago. Past purchase decisions, related research and product from the competition between the past case and the relevant literature for the smartphone market smartphone type to derive a purchase decision factors in the decision to purchase any difference between the factors. Literature and practices through performance, switching costs, product loyalty, design, brand, after-sales service, the price more than 7 variables were analyzed. One hundred people surveyed, respectively, did not obtain the response of a variety of ages and occupations, age of the sample used in the analysis of this study, and is concentrated as a student at the university of smartphones used to facilitate users analysis was done. We expect smartphone companies and related companies to be able to give guidelines for effective technology management.