• Journal of Families and Better Life
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• v.24 no.6 s.84
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• pp.161-176
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• 2006

The purpose of this study was to conduct a family impact analysis to examine the effects of policies to lower fertility in families in Korea. Data were collected from a purposive sample of three groups of government officials, family scholars, and staff at family-related organizations and associations. 105 family policy professionals responded to the self-report questionnaire. The family impact analysis scale was formulated by the researcher based on Ooms'(1995)'A checklist for assessing the impact of policies on families' and Lawson & Lawson's(2001)'An example on family impact analysis checklist or inventory.' The results showed there were eight factors in the family impact analysis on the policies to low fertility in Korea; strengthening family membership and stability; providing various convenient public services; recognizing family interdependence; recognizing the efficiency of implementing policies and support of vulnerable families; strengthening the family function of childbirth; recognizing family relationships; preventing family problems and empowering families; and recognizing family diversity. The conclusions and implications of these findings were also discussed.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.225-237
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• 2024

Purpose - This study aims to explore the relationship between housing and land prices, with a specific emphasis on the impact of government policies on these factors such as land supply quantity and the ratio of residential land to total land supplied. The goal is to identify the most effective government intervention strategies for controlling both housing and land prices. Design/methodology/approach - Data from 70 primary and medium-sized cities in China spanning from 2003 to 2017 are utilized in this research. The analysis employs a panel vector autoregressive (PVAR) model, with a primary focus on examining the relationships among housing prices, land prices, and government intervention policies. Findings - Housing and land prices are influenced by various factors. Through impulse response analysis and variance decomposition, it is observed that both housing and land prices are predominantly influenced by their internal dynamics, with comparatively weaker effects attributed to policy interventions. Research implications or Originality - By investigating the impact of government policies on housing and land prices, This study establishes a foundation for effective price control measures. Our study advocates for a comprehensive examination of China's land supply mechanism to enhance understanding of the pathways through which government policies influence the markets.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.93-96
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• 2016

현존하는 모든 데이터의 90%가 지난 2년 내 생산된 것이지만, 보존되는 데이터의 비율은 매년 17% 하락하고 있다. 본 연구에서는 연구데이터를 보존하기 위해 연구데이터 관리 정책을 살펴보고자 한다. 자연과학 분야에 비해 데이터 관리의 제도적 기반이 미약한 인문사회 분야의 연구데이터 정책 사례를 살펴보았다. 미국의 ICPSR, 캐나다의 SSHRC, 영국의 AHRC의 웹사이트에서 데이터 관련 정책을 참고하여 조사하였다.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.279-301
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• 2023

The data-driven research environment is rapidly changing. Accordingly, domestic university libraries are also preparing to establish and operate research data management services to support university researchers. This study was designed to propose a research data management service to support researchers in science and technology specialized university libraries. In order to propose the service, 11 universities specializing in science and technology were selected from overseas and domestic universities and their research data management services were analyzed. Key categories were derived from analysis results, research data management, electronic research notebooks, and RDM training. In particular, the 'research data management' category included DMP, data collection, data management, data preservation, data sharing and publishing, data reuse, infrastructure and tools. And it consists of RDM guides and policies. The results of this study will be helpful in introducing and operating research data management services in science and technology specialized university libraries.

• Korean journal of food and cookery science
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• v.14 no.5
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• pp.482-491
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• 1998

The objectives of this study were to characterize the food service managements in university food services. In a survey involving university food service centers throughout the country, the importance, performance scores and policies for food service management were investigated. Of the total 40 institutions surveyed, 23 were run directly by the institution, eight by contract, and nine by rental. Data were analyzed by t-test, ANOVA using the SPSS program. Management system was evaluated separately for organization, human resources, finance, nutrition education, purchasing, quality control, sanitation and safety, and marketing for their relative importance, degree of performance, and policy establishment. It was found that the relative importance scored higher than the degree of performance and policy establishment. When rhe relative importance for the direct, contract and rental operations was compared, the rental operation scored the highest. Performance score of direct was the highest in direct operation. The findings of this research suggest that the university food service should be creative through systematic management, and further research is needed to evaluate various variables that influence productivity, such as employee morale, pleasant working environment, customer satisfaction, and introduction of TOM for university food services.

• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.123-129
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• 2017

This study aims to analyze the performance of the beneficiaries of the SMEs(Small and Medium Enterprises) support project that has been handled online on the 'BizOK System', which is the integrated support system for SMEs in Incheon, by comparing before and after receiving support. Various performance indicators can be used, but this study used the rate of increase in sales, exports and employed manpower collected by the 'BizOK System'. Moreover, to analyze the trend of business performance by corporate feature, this study grouped the businesses into 7 categories including sales, business history, number of employees and capital. The results of this study are expected to be used in drawing implications for business support policies by utilizing them as basic data for enhancing efficiency of the support project and establishing corporate policies.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.811-825
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• 2023

In accordance with the government's stance of actively promoting intelligent administrative service policies through data utilization, in the disaster and safety management field, it also is proceeding with disaster and safety management policies utilizing data and constructing systems for responding efficiently to new and complex disasters and establishing scientific and systematic safety policies. However, it is difficult to quickly and accurately grasp the on-site situation in the event of a disaster, and there are still limitations in providing information necessary for situation judgment and response only by displaying vast data. This paper focuses on deriving specific needs to make disaster situation management work more intelligent and efficient by utilizing intelligent information technology. Through individual interviews with workers at the Central Disaster and Safety Status Control Center, we investigated the scope of disaster situation management work and the main functions and usability of the geographic information system (GIS)-based integrated situation management system by practitioners in this process. In addition, the data built in the system was reclassified according to purpose and characteristics to check the status of data in the GIS-based integrated situation management system. To derive needed to make disaster situation management more intelligent and efficient by utilizing intelligent information technology, 3 strategies were established to quickly and accurately identify on-site situations, make data-based situation judgments, and support efficient situation management tasks, and implementation tasks were defined and task priorities were determined based on the importance of implementation tasks through analytic hierarchy process (AHP) analysis. As a result, 24 implementation tasks were derived, and to make situation management efficient, it is analyzed that the use of intelligent information technology is necessary for collecting, analyzing, and managing video and sensor data and tasks that can take a lot of time of be prone to errors when performed by humans, that is, collecting situation-related data and reporting tasks. We have a conclusion that among situation management intelligence strategies, we can perform to develop technologies for strategies being high important score, that is, quickly and accurately identifying on-site situations and efficient situation management work support.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.143-152
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• 2017

In order to ensure the right of self-determination of women, most of countries allow women to buy post-coital contraceptive pills or general medical supplies with ease. This study aims to analyze how ordinary people recognize and respond to post-coital contraceptive pills through collecting atypical data by using the keyword 'Contraception', rather than using the existing actual condition survey, such as questionnaire and interview, so that the results have been presented, which may be referred to for establishment of policies.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.134-141
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• 2012

It is difficult to find an appropriate ordering policy for a many types of items. One of the reasons for this difficulty is that each item has a different demand trend. We will classify items by shipment trend and then decide the ordering policy for each item category. In this study, we indicate that categorizing items from their statistical characteristics leads to an ordering policy suitable for that category. We analyze the ordering policy and shipment trend and propose a new method for selecting the ordering policy which is based on finding the strongest relation between the classification of the items and the ordering policy. In our numerical experiment, from actual shipment data of about 5,000 items over the past year, we calculated many statistics that represent the trend of each item. Next, we applied the canonical correlation analysis between the evaluations of ordering policies and the various statistics. Furthermore, we applied the cluster analysis on the statistics concerning the performance of ordering policies. Finally, we separate items into several categories and show that the appropriate ordering policies are different for each category.

• The Journal of Industrial Distribution & Business
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• v.13 no.5
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• pp.1-14
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• 2022

Purpose: This study investigated the legal issues and policies on accommodation sharing based on qualitative research and examined how OECD societies establish laws and regulations to legalize accommodation sharing and prevent adverse effects. The purpose of this study is to contribute to the understanding of the different laws and regulations at both the country and city levels and to help better manage accommodation sharing in our society. The ultimate goal of this study is to enhance citizen understanding of platform businesses to minimize unnecessary conflicts. Research design, data and methodology: This study conducted a qualitative research by exploring laws and regulations in OECD countries. This study performed comparative analysis of accommodation sharing business' legislation, legal definitions, and operational policies that citizens should necessarily understand for better usage. Results: Local ordinances and regulations developed differently based on the situations of local markets and communities, so they are established and improved at the city or country level. Conclusions: Each government should consider preparing better policy on accommodation sharing by considering how to secure the housing market for residents with better establishment of new platform businesses and relationships with citizens. This study suggests policy reactions to government as policymakers, guests, hosts, platforms, and communities.