We studied the efficiency of service quality of loan consultants contracted to a bank in Korea. Since the consultant is not an employee of the bank, he/she 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 (PCADEA) model to evaluate quality efficiency 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. An example illustrates the proposed process of evaluating the relative quality efficiency of the loan consultants.

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.

Wenzhou, as well-known city as the most civil-led economy in China, had faced the economic difficulty since 2010 due to private-lending problems and industrial upgrade issues. Especially, private-lending with extremely high interest, which had prevailed among most citizen and small and medium company, led Wenzhou economy to financial difficulties. In 2011, Chinese government decided to designate Wenzhou as ‘Specialized District for Financial Reform’ in order to overcome ‘Wenzhou Private-Lending crisis’. During three years from Government’s decision, Wenzhou have performed most of the action plans according to ‘Financial Reform 12 Article’. Wenzhou’s financial reform influenced other cities in China to normalize the private lending system through the enactment of the financial laws established by local Government for the first time in China. In March 2015, Wenzhou also declared to start ‘New Financial Reform’ to implement its policy for financial reform continuously. The successful implementation of Wenzhou’s financial reform will be one of the barometers to decide the Government-led Financial reform in the future.

In this study, granting the optimal loan limit on SME (Small and Medium Enterprise) loans of financial institutions was proposed using the traditional newsvendor model. This study was the first domestic case study that applied the newsvendor model that was mainly used to calculate the optimum order quantity under some uncertain demands to the calculation of the loan limit (debt ceiling) of institutions. The method presented in this study made it possible to calculate the loan limit (debt ceiling) to maximize the revenue of a financial institution using probability functions, applied the newsvendor model setting the order volume of merchandise goods as the loan product order volume of the financial institution, and proposed, through the analysis of empirical data, the availability of additional loan to the borrower and the reduction of the debt ceiling and a management method for the recovery of the borrower who could not generate profit. In addition, the profit based loan money management model presented in this study also demonstrated that it also contributed to some extent to the prediction of the bankruptcy of the borrowing SME (Small and Medium Enterprise), as well as the calculation of the loan limit based on profit, by deriving the result values that the borrowing SME (Small and Medium Enterprise) actually went through bankruptcy at later times once the model had generated a signal of loan recovery for them during the validation of empirical data. accordingly, The method presented in this study suggested a methodology to generated a signal of loan recovery to reduce the losses by the bankruptcy.

이글은 학교도서관의 다대출 자료를 살펴 초등학교 저, 중, 고학년별 아동의 동화선호경향을 밝히고, 실질적인 동화선호경향 양상이 아동문학교육과 문학교육과정 개발에 주는 함의를 제시하는 데 목적이 있다. 그러기 위해 우선, 아동의 동화선호경향 분석을 위한 이론적 기저를 살펴보았다. 기존의 연구와의 차별성을 두기 위한 귀납적 접근의 방법으로서 DLS프로그램의 통계자료를 활용하였으며, 동화의 범주, 동화의 구성요소를 한정하였다. 이를 토대로 동화선호경향을 분석함으로써 학년군별로 동화의 범주와 구성요소 면에서 특별한 경향성을 드러내고 있음을 밝혔다. 본 연구를 기초로 실질적인 아동문학교육과 문학교육과정 구성 방안을 제안하고, 이에 따른 교육적 함의를 제시하였다.