• Journal of agricultural medicine and community health
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• v.46 no.2
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• pp.98-108
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• 2021

Objectives: This study aimed to describe the current public programs for community walking in Korea and to discuss their challenges. Method: We identified the literature related to community walking including five laws, 22 white papers from government departments and 84 program reports from the Seoul Metropolitan Government. Results: Korean law guarantees legal rights and validity to create safe, convenient and equitable environments for community walking. The government department, which has jurisdiction over legislation relating to community walking, has dominated community walking programs, and the role of public health department has been insufficient. Almost all sectors in the department of Seoul Metropolitan Government were involved in community walking programs. However, inter-sectoral cooperation system for community walking was insufficient. Conclusion: It is necessary to revise the condolences of the National Health Promotion Act to establish the role and perspective of public health in community walking promotion. Institutional efforts should be made to expand the network structure between sectors of community walking programs by establishing an organizational, budget, and performance sharing system for inter-sectoral approach.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.269-278
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• 2022

Recently, the travel and lodging industries have been suffering from the spread of COVID-19. But Airbnb recovered its profits with a differentiated strategy. This study identified the characteristics of Airbnb and examined their effects on customer's revisit intention in the Airbnb context. Perceived value, trust about Airbnb, and social norms were considered as the key factors of revisit intention. In addition, the effects of relative attractiveness, brand identification, and enjoyment on perceived value and trust about Airbnb were examined. The proposed research model was tested based on 285 consumers who had Airbnb experience more than twice. The analysis results showed that relative attractiveness, brand identification, and enjoyment had a significant influence on perceived value and trust. Perceived value had a significant influence on revisit intention. However, trust about Airbnb and social norms did not significantly affect revisit intention. Moreover, ths analysis results found no significant moderating effect of share of wallet. Based on the results of this study, Airbnb would establish effective marketing and operation strategies by understanding the formation mechanism of consumer's revisit intention toward Airbnb.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.353-362
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• 2022

The Russian-Ukraine war is accompanied by a military armed conflict and cyberattacks are in progress. As Russia designated Korea as an unfriendly country, there is an urgent need to prepare countermeasures as the risk of cyberattacks on Korea has also increased. Accordingly, impact of 19 cyberattack cases were analyzed by their type, and characteristics and implications were derived by examining them from five perspectives, including resource mobilization and technological progress. Through this, a total of seven measures were suggested as countermeasures for the Korean government, including strengthening multilateral cooperation with value-sharing countries, securing cyberattack capabilities and strengthening defense systems, and preparing plans to connect with foreign security companies. The results of this study can be used to establish the Korean government's cybersecurity policy.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.4
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• pp.353-366
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• 2021

Objectives: An appropriate level of cost support is being proposed to maximize the participation rate. In addition, as the amount of support is highly concentrated at the level of the limit under the current level of supports, the level of cost support is low when the actual level of cost of measuring the working environment exceeds the limit. This paper describes the adjustment of an appropriate cost support rate. Methods: First, this paper analyzes the current cost support status using data from the KOSHA. Second, an alternative for adjusting the cost support rate is presented in consideration of the incentive aspect. Third, we present simulation results for the average cost support rate, the impact of each alternative on finance, and more. Fourth, the most desirable adjustment method is presented after comparing and analyzing the results of various alternatives. Results: In this paper, we present a new scale model. This model is a mixture of flat-rate, fixed rate, and subside cap. It is expected that the new model will not only facilitate participation in businesses with low measurement costs, but also have the effect of controlling measurement costs for institutions that incur greater costs. It is also expected that setting a cap will have the effect of considering government finances and inducing excessively costly institutions to reduce costs. Thus, the new model is likely to be superior to others. If the fourth plan is applied to new businesses and the fifth plan is applied to sustainable businesses, the average cost support rates will be 87.68 percent and 65.18 percent, respectively, and the needed finances will be 2.5 billion won, 18.8 billion won, and 21.3 billion won in total. Conclusions: It seems most desirable to introduce a new model that combines flat-rate, fixed-rate, and subsidy cap systems and achieve an appropriate cost support rate through this model.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.37-45
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• 2022

The purpose of this study is to determine social values of self-support enterprises, known as the origin of social economy by using a qualitative research method. Main themes representing social values of self-support enterprises were developed through four sessions of FGI and thematic analysis. First, self-support enterprises embody the value of 'social safety net' by providing workfare for disadvantaged people as well as by operating market-oriented business. Additionally, 'communal spirit', for which self-support enterprises strive, is social value that enables the entirety of self-support enterprises and participants to fulfill non-profit values, reciprocity, and sharing. Lastly, ontological, diachronic, and ecological 'sustainability' of self-support enterprises is a foundational element which creates continuous positive impact on our society. Findings of this study are significant to provide theoretical and empirical evidence for preservation and development of the social economy ecosystem. Based on this, further researches on comprehensive social economy are suggested.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.439-444
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• 2021

In the modern society, people live in an environment while sharing a space with each other and secure their own space for the safety. As interest in "Crime Prevention Through Environmental Design (CPTED)" securing the safety of citizens from crime through environmental design is increasing, this research studies the public space design realized in public environments which is explored through the understanding of the concept of public design. Through the various case studies conducted with the concept and cases of public design, a standard for proceeding with crime prevention design has been established. The research analyzes the results of successful cases with ten extracted keywords, and finally three design solutions for crime prevention were proposed through extracted keywords. Each design solution was evaluated by 25 CPTED researchers who participated in this project with Likert's 5-point scale. Based on final evaluation results, the research will further investigate better and safe approaches and solutions for CPTED.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.477-488
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• 2022

The purpose of this study is to examine how factors that select Airbnb service affect service satisfaction and the moderating effect according to marital status. The subjects of this study are customers who who have used Airbnb services in the metropolitan area. The questionnaire survey was conducted with 150 people, and the results were analyzed and hypothesis testing was performed using Structural Equation Model(SEM). As a result of the study, it has been found that price, online review, and Unique Experience Expectation(UEE) among the factors that selected Airbnb have positive effects on service use satisfaction. In addition, marital status has been found to play a mediating role among price, UEE and customer satisfaction. For single customers, price is an important factor influencing service satisfaction, but for married customers, it is not. In this sense, it is important not only to conduct marketing and promotions considering only gender, but also to provide services according to whether they are single or married.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.351-356
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• 2022

The era of the 4th industrial revolution is being built on the digital revolution. In order to understand and properly utilize these technological advances, digital literacy education is emphasized. This study investigated the components of digital literacy and proposed a curriculum & teaching and learning method improvement plan, and instructor digital literacy cultivation method. In order to improve the curriculum, it is necessary to improve the curriculum by expanding the ability to solve digital problems. As a plan to improve teaching and learning methods, it is necessary to present a linkage and convergence educational model based on communication, collaboration, and sharing between instructors and learners through the establishment of an interactive platform. In order to improve the digital literacy of instructors, it is very important to improve the educational environment that can easily design a learner-centered educational model. This study is meaningful in that it presented basic data for creating an educational environment based on communication and collaboration through digital literacy in an environment connected with digital technology.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.57-63
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• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.161-182
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• 2023

In the recent cataloging environment, the function of authority data is becoming more important. In Korea, a pilot project for sharing and joint use of the national authority data has been promoted since 2019, and a plan to automatically construct retrospective authority data using national authorities is in progress. This study aims to (1) analyze the results of the pilot project for retrospective authority data jointly promoted by the National Library of Korea and KERIS in 2019, (2) explore methodological limitations and problems in the process, and (3) derive policy proposals for constructing authority data more efficiently. To this end, a university library participating in the pilot project was investigated as a case study. Based on it, the automatic generation rate and accuracy of authority data, and errors and omissions cases and causes were analyzed in detail. As a results of the study, it was found that the quality of union catalogs and bibliographic records had a great influence on automatically constructing authority data, and supplementary methods were needed to minimize these limitations.