• Journal of Intelligence and Information Systems
• /
• v.29 no.2
• /
• pp.85-100
• /
• 2023

Corporate ESG performance (environmental, social, and corporate governance) reflecting a company's strategic sustainability has emerged as one of the main factors in today's investment decisions. The traditional ESG performance rating process is largely performed in a qualitative and subjective manner based on the institution-specific criteria, entailing limitations in reliability, predictability, and timeliness when making investment decisions. This study attempted to predict the corporate ESG rating through automated machine learning based on quantitative and disclosed corporate financial information. Using 12 types (21,360 cases) of market-disclosed financial information and 1,780 ESG measures available through the Korea Institute of Corporate Governance and Sustainability during 2019 to 2021, we suggested a deep neural network prediction model. Our model yielded about 86% of accurate classification performance in predicting ESG rating, showing better performance than other comparative models. This study contributed the literature in a way that the model achieved relatively accurate ESG rating predictions through an automated process using quantitative and publicly available corporate financial information. In terms of practical implications, the general investors can benefit from the prediction accuracy and time efficiency of our proposed model with nominal cost. In addition, this study can be expanded by accumulating more Korean and international data and by developing a more robust and complex model in the future.

• Journal of Intelligence and Information Systems
• /
• v.25 no.2
• /
• pp.1-23
• /
• 2019

Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

• Journal of the Korea Convergence Society
• /
• v.12 no.8
• /
• pp.171-177
• /
• 2021

The Southeastern economic zone was centered on small and medium-sized manufacturing, but industrial changes and corona 19 caused the local economic downturn. This study presented the difficulties of companies related to the aviation specialization industry and suggested ways to revitalize the local economy in order to revitalize the local economy in the southeast region. First, aeronautical specialized parts companies need various support to improve the structural problems of passive industries. Second, the industry needs a systematic education system that develops products and technologies that meet international standards and conducts international certification education to support stable supply and demand of human resources by cultivating professional manpower for systematic project performance. Third, the industry needs financial and administrative support from the government to develop technologies and products that meet high standardization standards. In addition, it is necessary to provide support to systematically improve the limitations and difficulties of companies, such as finding and expanding customers of small and medium-sized companies and supporting investment for cost reduction.

• Korean Journal of Occupational Health Nursing
• /
• v.29 no.3
• /
• pp.202-207
• /
• 2020

Purpose: COVID-19 infections have been erupting in places of worship, long-term care facilities, and call centers in Korea since January 2020. This study aims to diagnose and present an infection control system solution for long-term care facilities where at-risk elderly individuals are actively engaged in communal life. Methods: We conducted comparative analyses of infection control systems between long-term care facilities and medical institutions respective of relevant laws and this study's evaluation system. Results: To prepare for future infectious diseases, it is necessary to establish a long-term care facility infection control system and strengthen the standards thereof, to strengthen long-term care facility evaluation standards and to newly establish medical charges for infection control. Conclusion: Systematic procedure fortification and financial support provisions are necessary for infection control at long-term care facilities.

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.9
• /
• pp.67-91
• /
• 1998

This study reviews the rating system of hotels and restaurants regulated by french gouvernment and compares the french guide books of worldwide reputaion : Guide rouge of Michelin and Guide France of Gault-Millau. The apparatus of gouvernment and the inspectors deciding the grades, the processes and the prior conditions needed for obtaining the adequate grades are mentioned. So it will be a help to understand the present system of hotels and restaurants in France. The publishing firms like Michelin and Gault-Millau not only encourage the trvel and F & B industry by estimating the hotels and restaurants and publishing the results, but also informe the consumer. Ultimately, the guide books would like to play an important role in improving or making better the levels of the tourism and the gastronomy. They support continuously the publishing of guide books with the qualified persons and financial aid. Especially, Michelin doesn't insert the advertisement in his publications. In publishing the guide books, it can be one of the most important points for proving his independence of hoteliers, restaurateurs and the others. The seconde point is impartial, clear and rigid inspection that doesn't admit any corruption. Now is the moment in korea to promote the tourism and the gastronomy by publishing the credible books like 「Guide rouge」 and 「Guide France」in order to present Korean attrations and epicurean foods.

• Women's Health Nursing
• /
• v.12 no.2
• /
• pp.87-96
• /
• 2006

Purpose: This study was conducted to provide fundamental information for a system establishment of advanced practice nursing for gynecological cancer patients (APN-GCP). Method: Data was collected by focus group and individual interviews and analyzed in the framework of the Grounded theory method mapped by Strauss and Corbin (1990). There were 13 subjects in this study (nurses, doctors, patient and her family). Result: We identified 87 concepts, 22 sub-categories, and 10 categories. Categories for role expectation were arrangement of diagnosis and treatment process, giving information of treatment course, support of treatment process, patients' right toward making a decision of treatment, counseling and teaching after discharge from hospital, medical insurance and financial problems, counseling about sexual problems and use of family and community resources. All subjects perceived the necessity of an APN-GCP. An APN-GCP requires over 2$\sim$7 years clinical experience and a master's degree. Services would be performed from initial registration to termination of treatment or death, and accomplished on an outpatient clinic basis. Conclusion: The nursing delivery system and curriculum should be developed for a women's health nurse practitioner including APN-GCP. As a further step, cost-effectiveness and projected estimation of manpower of APN-GCP should be studied in the future.

• Journal of Labour Economics
• /
• v.37 no.4
• /
• pp.89-112
• /
• 2014

This paper characterizes an optimal combination of grant and income-contingent loans (ICL) from efficiency and equity points of view as a government subsidy program for higher-education. In particular, we show that it is always desirable to introduce ICL for students regardless of their household incomes, and also provide arguments for the superiority of tax-financing system to loans with risk-premium as a financing mechanism of ICL. From policy point of view, this paper suggests a need for the extended coverage of our ICL system, while justifying its current tax-financing system.

• Journal of Fisheries and Marine Sciences Education
• /
• v.26 no.4
• /
• pp.736-748
• /
• 2014

The purpose of the study is to examine various conditions, which are recognized by teachers in the allocation of subject-specialized teachers at elementary schools, into five types of conflicts, in order to offer implications for the operation and allocation of the subject exclusive system henceforth. The study, therefore, categorized the actual allocation process experienced by subject-specialized teachers at elementary schools into five aspects the first is, understanding of students, the second, the ability to teach exclusive subjects, the third, a relationship with students, the fourth, workplace environment at schools, and the fifth, the continuity of subject specialist teachers. Conditions demonstrated in each category are classified into the types that occurred by individual and mutual roles demonstrated through in-depth, where keywords are selected by aspects to suggest conflict conditions. In order to operate the subject exclusive system more efficiently and to boost the effects of positive education, the workplace environment at schools need to be improved urgently, including a variety of training, program development, and financial support. The most vital requirement is to prepare groundwork through mutual understanding and collection of extensive opinions from field teachers based on a consensus that a school is an educational community. The study anticipates that the result could provide a foundation for the preparation of qualitative improvement and development measures for the subject exclusive system at elementary schools.

• Convergence Security Journal
• /
• v.15 no.4
• /
• pp.57-63
• /
• 2015

Development of IT technology, the rapid computerization of society has accelerated the digitization of the world's information. Then, the activation of the e-commerce is the collection of a number of sensitive information, storage, operational increased rapidly. Currently, the public sector, financial sector, the private sector has utilized a number of privacy. Accidents caused by leakage of information is a tendency to increase day by day. For a review of the problems of security and protection for such sensitive information, the need for easier support system it is required. This thesis suggests E-PIAMS(Enterprise-Privacy Impact Assessment Management System) applicable effectively in private sectors.

• Communications for Statistical Applications and Methods
• /
• v.28 no.4
• /
• pp.393-410
• /
• 2021

The Korean Long-Term Care Insurance (K-LTCI) provides financial support for long-term care service to people who need various types of assistance with daily activities. As the number of elderly people in Korea is expected to increase in the future, the demand for long-term care insurance would also increase over time. Projection of future expenditure on K-LTCI depends on the number of beneficiaries within the grading system of K-LTCI based on the test scores of applicants. This study investigated the suitability of mixture distributions to the model K-LTCI score distribution using recent empirical data on K-LTCI, provided by the National Health Insurance Service (NHIS). Based on the developed mixture models, the number of beneficiaries in each grade and its variability under the current grading system were estimated by simulation. It was observed that a mixture model is suitable for K-LTCI score distribution and may prove useful in devising a funding plan for K-LTCI benefit payment and investigating the effects of any possible revision in the K-LTCI grading system.