• Journal of the Korean Society of Food Culture
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• v.25 no.6
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• pp.755-763
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• 2010

The purpose of this study was to select market variables that a foodservice company should consider when expanding overseas and to regional market analysis by variables. Twenty-three different variables were derived from 17 previous studies. These were: population, urbanization rate, women employed, enrollment in tertiary education, gross domestic product, value added by service, total number of mobile cellular telephone subscribers, number of internet users, total Asian highway, inward foreign direct investment, total service imports, inflation rate, international tourist arrivals, energy use by industry, growth rates of the food consumer price index, access to urban sanitation, per capita total expenditure on health, male life expectancy at birth, adult literacy rate, contributing women family workers, passenger car, and country risk assessment. The selected variables were collected as secondary data from the UN, Asian Development Bank, International Bank for Reconstruction and Development, and Michigan State University.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.17-18
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• 2021

Improvement of operational productivity in container terminals is a continuous demand, and related research using advanced ICT is continuously being conducted. This is a study on how to link an external expert systems in order to reduce the effort required for SW program development, testing, and stabilization according to the use of related technologies such as AI and Big Data in the terminal operating system, which is a key information system for terminal operation.

• Journal of the Korean Geographical Society
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• v.33
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• pp.1-12
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• 1986

이 글에서는 다음의 내용을 다루었다. 1. 기복추정을 위한 digital시스템의 과제 2. 한국을 위한 좌표시스템의 선택 3. 공간과 관련된 자료관리

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.65
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• pp.117-139
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• 2015

The BPO is an irrevocable undertaking given by an obligor bank to a recipient bank to pay a specified amount under the condition of a successful electronic matching of data or acceptance of mismatches. The BPO enables the participating banks to provide sellers and buyers with enhanced financing services. Therefore, BPO gives banks the tools to provide them with guarantees and other multi-banking services. All the participating banks must use the same Transaction Matching Application(TMA) for BPO business. In order to exchange BPO-related data, banks must be subscribed to the same TMA scheme. Participation in the TMA scheme is limited to banks only. The TMA is matching and workflow application as instrument to determine whether to pay the BPO or not. Therefore, TMA will have an important role to play in the business of the BPO. So, This paper is to review the mechanism of a TMA and the major business scenarios in Banking Payment Obligation Transactions. In Particular, it has been included the exchange and matching of data messages, the disposal of discrepancies, document payment and others based on URBPO. This study will be based on documentary research including swift com and icc.org and so on.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.2
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• pp.13-18
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• 2015

In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.721-730
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• 2020

This study investigates the impact of the country's governance on the revenue efficiency of 108 Islamic banks from 26 countries offering Islamic banking and finance products services. The technical efficiencies of individual Islamic banks have been analyzed using the Data Envelopment Analysis method. The data will be pooled across the selected countries and utilize the intermediation approach. The Ordinary Least Square estimation method is employed to examine the impact of country supervision and regulation on the technical efficiency of Islamic banks. As robustness check, the study examines the impact of the level of bank regulations and supervision on the efficiency of Islamic banks operating in different income-level countries. The results found that the stricter the supervisory power, the less strict capital requirement, the tighter the restrictions on non-banking activities, and the stricter the private monitoring enhance statistically significantly the level of efficiency of Islamic banks. In upgrading the regulations and supervision of the Islamic banks, the existing regulatory framework based on the Basel Committee on Banking Supervision (BCBS) must be complemented with the prescriptions on Islamic banking or Shariah compliance diligently, so that the Islamic banks could be regulated accurately and further improve the technical efficiency of their operations.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7893-7895
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• 2015

Background: Acute promyelocytic leukemia (APL) is a distinctive clinical, biological and molecular subtype of acute myeloid leukemia. However, data from Pakistan are scarce. Therefore we reviewed the demographic and clinical profile along with risk stratification of APL patients at our center. Materials and Methods: In this descriptive cross sectional study, 26 patients with acute promyelocytic leukemia were enrolled from January 2011 to June 2015. Data were analyzed with SPSS version 22. Results: The mean age was $31.8{\pm}1.68years$ with a median of 32 years. The female to male ratio was 2:1.2. The majority of our patients had hypergranular variant (65.4%) rather than the microgranular type. The major complaints were bleeding (80.7%), fever (76.9%), generalized weakness (30.7%) and dyspnea (15.38%). Physical examination revealed petechial rashes as a predominant finding detected in 61.5% followed by pallor in 30.8%. The mean hemoglobin was $8.04{\pm}2.29g/dl$ with the mean MCV of $84.7{\pm}7.72fl$. The mean total leukocyte count of $5.44{\pm}7.62{\times}10^9/l$; ANC of $1.08{\pm}2.98{\times}10^9/l$ and mean platelets count were $38.84{\pm}5.38{\times}10^9/l$. According to risk stratification, 15.3% were in high, 65.4% in intermediate and 19.2% in low risk groups. Conclusions: Clinico-epidemiological features of APL in Pakistani patients appear comparable to published data. Haemorrhagic diathesis is the commonest presentation. Risk stratification revealed predominance of intermediate risk disease.

• KDI Journal of Economic Policy
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• v.33 no.2
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• pp.41-79
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• 2011

This study examines the compensation scheme for the executives and risk-taking behavior in the Korean banks. Theoretically, shareholders prefer risky asset choice to the optimal one due to the limited liability feature of reward, and stock-based executive compensation may induce choices favorable to the shareholder. We empirically test this risk-taking hypothesis using Korean banks' data. Since only the stock option data is available under the current disclosure system, we limit our analysis to examine the relationship between the compensation through stock option and the risk of banks. The result provides no evidence that stock option compensations increase the risk of banks, which is contrary to the theoretical prediction and preceding studies in the US. This may be due to any factor that the executive reward data omit, or regulation effects on the bank management.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.7-17
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• 2017

Loan consultants assist clients with loan application processing and loan decisions. Their duties may include contacting people to ask if they want a loan, meeting with loan applicants and explaining different loan options. We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. They do not work as a team, but do work independently. Since he/she is not an employee of the bank, the consultant is paid solely in proportion to how much he/she sell loans. In this study, a consultant is considered as a decision making unit (DMU) in the DEA (Data Envelopment Analysis) model. We use a principal component analysis-data envelopment analysis (PCA-DEA) model integrated with Shannon's Entropy to evaluate quality efficiency of the consultants. We adopt a three-stage process to calculate the efficiency of service quality of the consultants. In the first stage, we use PCA to obtain 6 synthetic indicators, including 4 input indicators and 2 output indicators, from survey results in which questionnaire items are constructed on the basis of SERVQUAL model. In the second stage, 3 DEA models allowing negative values are used to calculate the relative efficiency of each DMU. In the third stage, the weight of each result is calculated on the basis of Shannon's Entropy theory, and then we generate a comprehensive efficiency score using it. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants and how to use the efficiency to improve the service quality of the consultants.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.85-91
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• 2018

Most banks use only demographic information such as gender, age, occupation and address to segment customers, but they do not reflect financial behavior patterns of customers. In this study, we aim to solve the problems by using various big data in a bank and to develop customer segmentation method which can be widely used in many banks in the future. In this paper, we propose an approach of segmenting clustering blocks with bottom-up method. This method has an advantage that it can accurately reflect various financial needs of customers based on various transaction patterns, channel contact patterns, and existing demographic information. Based on this, we will develop various marketing models such as product recommendation, financial need rating calculation, and customer churn-out prediction based on this, and we will adapt this models for the marketing strategy of NH Bank.