• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.313-340
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• 2018

The purpose of this study was to design a PCSI model that can be applicable to measurement of library user satisfactions, which can be used in evaluating organizational performance. The National Assembly Library (NAL) was selected as a case to design a PCSI-based model and to test the model by conducting a self-administered survey of 341 internal and external library users. The model was validated to have a satisfactory model fit. Fitting the model, the study confirms that the service qualities of the NAL affect user satisfactions, which in turn affects organizational performances. The PCSI score of the library was 80.4, which can be used as a useful index that can compare the library's performance with other organizations in the similar public domain. Major contributions of this study are two-fold: the PCSI-based model proposed in this study provides a theoretical basis that assesses organizational performance of libraries via user satisfaction; and libraries can utilize the model as a management tool to assess the organizational performance from the user perspective.

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.92-97
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• 2009

Lately, influence of information rises and interest about satisfaction estimation of information providing service is risin. According to rapid change in information environment, information-providing service is being changed in various form, in which center development is made in relation to the effort for customer satisfaction intended to enhance user's satisfaction level through providing more convenient and higher service centered on information service user rather than information service provider. Organizations providing information service is also changing their service from traditional one centered on service provider to that for user's satisfaction and service quality, and evaluation of information service quality and measurement of user's satisfaction as the result of using information service are regarded important. In this respect, it is needed to measure user's satisfaction level for environmental factors of information service and analyze what kind of influence they have to enhance user's satisfaction level of information service. Also function and efficiency of information offer service are important. Therefore, interest for satisfaction survey to heighten contents satisfaction of information-providing service, service satisfaction, satisfaction of user of system satisfaction is increased. In this paper, we propose a model of the user satisfaction index for information-providing services and present the user satisfaction index is measured to the model. Also we this study suggest qualitative improvements of information-providing service required for change to user-centric information-providing service through measuring user satisfaction index of ITFIND system and schemes to improve information quality

• Journal of Korean Society on Water Environment
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• v.25 no.4
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• pp.507-514
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• 2009

In this study, a dynamic modeling scheme is presented to describe the probabilistic structure of soil water and plant water stress index under stochastic precipitation conditions. The proposed model has the form of the Fokker-Planck equation, and its applicability as a model for the probabilistic evolution of the soil water and plant water stress index is investigated under a climate change scenario. The simulation results of soil water confirm that the proposed soil water model can properly reproduce the observations and show that the soil water behaves with consistent cycle based on the precipitation pattern. The simulation results of plant water stress index show two different PDF patterns according to the precipitation. The simple impact assessment of climate change to soil water and plant water stress is discussed with Korean Meteorological Administration regional climate model.

• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.181-199
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• 2018

The purpose of this study is to verify the extended technology readiness and acceptance model according to the characteristics of technology for the continuous use motive of SNS users. In particular, we conducted a comparative study on the differences in technology readiness and acceptance model between countries through the empirical analysis of the users of SNS in Korea and China with different technological and cultural environments. The results of this study are as follows; First, Positive technology readiness index has a positive effect on performance expectancy, effort expectancy, social influence, and facilitating conditions, which are variables of UTAUT. Positive technology readiness also has a positive effect on Enjoyment, which is added in this study. Second, negative technology readiness index has negative effect on performance expectancy and social influence, which are variables of UTAUT. In addition, negative technology readiness index has not a significant effect on enjoyment, which was added in this study. Finally, the relationship between technology readiness index, motivation for technology acceptance, and continuously intention to use has a partially different influence on the Korean and Chinese users. Based on the results of this study, this study suggested academic implications and practical implications.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1471-1479
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• 2017

The variability of trade price index of apartment influences on the various aspect, especially economics, social phenomenon, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly trading price index of apartment data. About 16 years of the monthly data have been used from September 2001 to May 2017. In the ARE model, six macroeconomic variables are used as the explanatory variables for the rade price index of apartment. The six explanatory variables are mortgage rate, oil import price index, consumer price index, KOSPI stock index, GDP, and GNI. The result has shown that trading price index of apartment explained about 76% by the mortgage rate, and KOSPI stock index.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.211-231
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• 2022

This study attempted to identify the effects of macroeconomic variables such as the All Industry Production Index, Consumer Price Index, CD Interest Rate, and KOSPI on apartment lease prices divided into nationwide, Seoul, metropolitan, and region, and to present a methodological prediction model of apartment lease prices by region using Long Short Term Memory (LSTM). According to VAR analysis results, the nationwide apartment lease price index and consumer price index in Lag1 and 2 had a significant effect on the nationwide apartment lease price, and likewise, the Seoul apartment lease price index, the consumer price index, and the CD interest rate in Lag1 and 2 affect the apartment lease price in Seoul. In addition, it was confirmed that the wide-area apartment jeonse price index and the consumer price index had a significant effect on Lag1, and the local apartment jeonse price index and the consumer price index had a significant effect on Lag1. As a result of the establishment of the LSTM prediction model, the predictive power was the highest with RMSE 0.008, MAE 0.006, and R-Suared values of 0.999 for the local apartment lease price prediction model. In the future, it is expected that more meaningful results can be obtained by applying an advanced model based on deep learning, including major policy variables

• 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.

• Journal of Korean Society of Rural Planning
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• v.15 no.2
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• pp.27-42
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• 2009

This study has intended to evaluate the subjective landscape of rural region using additive integration index calculation model in Seondong region, Gochang-gun, Jeollabuk-do, Korea. This study consists of the following three steps. First, this study defmed the rural landscape using survey and developed the estimating equation for rural landscape assessment index. Second, this study set up assessment units and assessment indicators, then estimated mean of representative landscape adjectives in accordance with them through residents-participatory evaluation. Third, this study calculated rural landscape assessment index using additive integration index calculation model, and evaluated subjective landscape of rural region in accordance with space types and landscape fields through mapping methodology. The results of this study can be described as follows: 1) satisfaction level for landscape in accordance with village (urban area and residential area) was very high; 2) satisfaction level was very high in both Ye-Jeon reservoir and Hakwon farm, representative landscape resources of the study area.

• International Commerce and Information Review
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• v.12 no.4
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• pp.171-192
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• 2010

In general, a stock index and its individual stocks are assumed to follow a random walk. A stock index is an important source of information and one that is seen by people everyday, regardless of their investment intentions. This paper examines the correlation between the KOSPI-the index that best reflects the Korean stock market and the macro - economic variables that have been found to influence the index by previous studies. The sample period considers the years after 2000 when the Korean stock market matured as restrictions on foreign investors were removed. For this purpose, a Vector Error Correction Model (VECM) and KOSPI equation with a general pacific approach were used. This paper aims at verifying the factors that determined the KOSPI after 2000 and at examining whether there was structural change in the investment environment. It also investigates changes in the factors determining the KOSPI's performance as a result of structural changes in the investment environment. The V AR (Vector Autoregressive) model including the nine variables was selected as a baseline model whose stability was tested using the unit root test. The results from the VECM and the structural changes in the investment environment can be summarized by the following Inner story points.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.9-21
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• 2020

The aim of this paper is to predict the Borsa Istanbul (BIST) 30 index movements to determine the most accurate buy and sell decisions using the methods of Artificial Neural Networks (ANN) and Genetic Algorithm (GA). We combined these two methods to obtain a hybrid intelligence method, which we apply. In the financial markets, over 100 technical indicators can be used. However, several of them are preferred by analysts. In this study, we employed nine of these technical indicators. They are moving average convergence divergence (MACD), relative strength index (RSI), commodity channel index (CCI), momentum, directional movement index (DMI), stochastic oscillator, on-balance volume (OBV), average directional movement index (ADX), and simple moving averages (3-day moving average, 5-day moving average, 10-day moving average, 14-day moving average, 20-day moving average, 22-day moving average, 50-day moving average, 100-day moving average, 200-day moving average). In this regard, we combined these two techniques and obtained a hybrid intelligence method. By applying this hybrid model to each of these indicators, we forecast the movements of the Borsa Istanbul (BIST) 30 index. The experimental result indicates that our best proposed hybrid model has a successful forecast rate of 75%, which is higher than the single ANN or GA forecasting models.