• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.407-408
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• 2019

This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.4_2
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• pp.645-653
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• 2022

Recently, deep reinforcement learning has been applied to a variety of industries, such as games, robotics, autonomous vehicles, and data cooling systems. An algorithm called reinforcement learning allows for automated asset allocation without the requirement for ongoing monitoring. It is free to choose its own policies. The purpose of this paper is to carry out an empirical analysis of the performance of asset allocation strategies. Among the strategies considered were the conventional Mean- Variance Optimization (MVO) and the Proximal Policy Optimization (PPO). According to the findings, the PPO outperformed both its benchmark index and the MVO. This paper demonstrates how dynamic asset allocation can benefit from the development of a reinforcement learning algorithm.

• Asia Marketing Journal
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• v.16 no.1
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• pp.169-193
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• 2014

The earlier studies have verified that brand values have significant impact on financial values such as stock return and stock price to justify marketing costs for brand building. Except for Mizik and Jacobson (2008), however, little research has addressed what kinds of brand components composing brand values have a significant relationship with financial values. As a follow-up research of Mizik and Jacobson (2008), this research focuses on what kinds of relationships exist between the unanticipated change of each brand asset component and stock return, one of the financial values. The authors selected six brand asset components from the Korea-Brand Power Index(K-BPI) data in which 'Top of Mind,' 'Unaided Awareness,' and 'Aided Awareness' are brand awareness measures and 'Image,' 'Purchase Intention,' and 'Preference' are brand loyalty measures. Out of those six brand components, they found that unanticipated changes of 'Top of Mind,' 'Unaided Awareness,' 'Image,' and 'Preference' have significantly positive effect on unexpected stock return change. Therefore, they conclude that these four brand asset components provide incremental information in explaining unanticipated stock return.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.467-473
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• 2024

Metaheuristics' impact is profound across many fields, yet domestic financial portfolio optimization research falls short, particularly in asset allocation. This study delves into metaheuristics for portfolio optimization, examining theoretical and practical benefits. Findings indicate portfolios optimized via metaheuristics outperform the Dow Jones Index in Sharpe ratios, underscoring their potential to enhance risk-adjusted returns significantly. Tabu search, in comparison to Simulated Annealing, demonstrates superior performance by efficiently navigating the search space. Despite these advancements, practical application remains challenging due to the complexities in metaheuristic implementation. The study advocates for broader algorithmic exploration, including population-based metaheuristics, to refine asset allocation strategies further. This research marks a step towards optimizing portfolios from an extensive array of financial assets, aiming for maximum efficacy in investment outcomes.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.48-56
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• 2024

Purpose: Despite growing interest in health information sharing, researchers remain uncertain whether hospitals' sharing of information increases patient satisfaction, one of the key measures of the quality of care. This study evaluates the effect of health information sharing on patient satisfaction and whether the effect varies with context. Methodology: Regression analysis was conducted using a sample consisting of 6,641 year-hospital observations, based on data from the annual and IT surveys of the American Hospital Association (AHA) and Census. Findings: Our results suggest that information sharing using health IT increases patient satisfaction, while the extent (breadth) of information sharing increases patient satisfaction, the level of detail (depth) of information sharing does not. Our results also show that the effects of the breadth and depth of information sharing vary with different contexts, e.g., the percentage of people over 65 and Hirschman-Herfindahl index (HHI). Practical Implications: Policymakers should pay greater attention to realizing the full benefits of hospitals' information sharing based on market characteristics.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.5
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• pp.1081-1088
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• 2024

While metaheuristics have profoundly impacted various fields, domestic financial portfolio optimization research, particularly in asset allocation, remains underdeveloped. This study investigates metaheuristic algorithms for investment strategy optimization. Results reveal that metaheuristic-optimized portfolios outperform the Dow Jones Index in Sharpe ratios, highlighting their potential to significantly enhance risk-adjusted returns. A comparative analysis of Ant Colony Optimization (ACO) and Cuckoo Search Algorithm (CSA) shows CSA's slight superiority in risk-adjusted performance. This advantage is attributed to CSA's maintained randomness and Lévy flight model, which effectively balance local and global search, whereas ACO may converge prematurely due to path reinforcement. These findings underscore metaheuristics' capacity to maximize expected returns at given risk levels, offering flexible, robust solutions for investment strategy optimization.

• Journal of the Korean Dietetic Association
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• v.22 no.2
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• pp.88-105
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• 2016

This study investigated anthropometric and biochemical characteristics, food and nutrient intakes, and changes in body mass index (BMI) of Korean middle age men (40~49 yrs). Data on BMI, anthropometric (height, weight, waist circumference, body mass index, blood pressure), and biochemical (total cholesterol, HDL-cholesterol, LDL-cholesterol, triglyceride, hemoglobin, GOT, GPT) characteristics, food and nutrients intakes, nutrient density, and index of nutrient quality were obtained from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES, 2001, 2005, 2011). Subjects were divided into three groups by year. Weight, BMI, and hemoglobin increased significantly by year. All anthropometric factors except height showed a positive relation with BMI by year. Consumption of barley, chinese noodle, confections, soybean milk, egg, ice cream, pizza, fried foods, banana, coffee, and raw rice wine increased significantly by year. Intake ratios of nutrients except water and fiber were over 100% of KDRI generally. INQ according to intakes of protein, calcium, phosphorus, iron, vitamin A, thiamine, riboflavin, and niacin per 1,000 kcal increased significantly by year. Distribution of BMI status of subjects showed a significant difference by exercise. The findings of the present study show that BMI of subjects increased by year, and intakes of all nutrients except calcium and riboflavin showed aspects of overnutrition by year. Intakes of fruits decreased while intakes of raw rice wine and coffee increased by year. Therefore, practical and systematic nutrition programs are required to maintain optimum BMI and appropriate intakes of nutrients to maintain a desirable lifestyle and improve dietary life.

• Korean Journal of Construction Engineering and Management
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• v.9 no.6
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• pp.216-224
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• 2008

Recently, most developed countries use the evaluation system about Life Cycle Cost(LCC), and KOREA is beginning to introduce the system to reduce construction expenses. And the introduction of "Technical Proposal Type Bid", which is a new procurement method of Korea government, has made needs for the price-valuation way to evaluate facilities LCC. These days, LCC has been being evaluated by BTL and turnkey project in KOREA, which is suffering from difficulties in evaluating it, because evaluation elements and standards are vague. In addition, LCC evaluation in public construction business except BTL and turnkey is not carried out. Therefore, this paper is to develop a new evaluation index to evaluate LCC both systematically and objectively. The results of this paper are as followings. (1) Necessity and problem analysis of LCC evaluation index, (2) LCC evaluation index deduction from the technical report and question analysis, (3) Application and evaluation method suggestion to practice.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.335-351
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• 2011

In order to resolve data scarcity problem related to crisis, Oh and Kim (2007) proposed to use stability oriented approach which focuses a base period of financial market, fits asymptotic stationary autoregressive model to the base period and then compares the fitted model with the current market situation. Based on such approach, they developed financial market instability index. However, since neural network, their major tool, depends on the base period too heavily, their instability index tends to suffer from inaccuracy. In this study, we consider linear asymptotic stationary autoregressive model and neural network to fit the base period and produce two instability indexes independently. Then the two indexes are combined into one integrated instability index via newly proposed combining method. It turns out that the combined instability performs reliably well.

• The Korean Journal of Financial Management
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• v.25 no.3
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• pp.131-153
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• 2008

This paper calculates the Risk Index of Korean securities industry that summarizes the information contained in seventeen financial indicators that represent risk categories such as capital adequacy(C), asset quality(A), earnings(E), and liquidity(L) by using the NBER statistical methodology. For the validation of Risk Index, expected default frequency has been used, and the result has been proved to be positive. According to the compiled Risk Index, the level of risks of Korean securities industry has been decreasing from the second quarter of 2003 to the first quarter of 2006 by 22 percent. But the risk has been increasing during the periods from the first quarter of 2002 to the first quarter of 2003 and from the first quarter of 2006 to the last quarter of 2006.