• Title/Summary/Keyword: Information Policy

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Current status analysis for the protection of emotional workers in Pyeongtaek area (평택지역 감정노동자 보호를 위한 현황분석)

  • Jung, Hye Jung;Jung, Su Hyun
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.55-60
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    • 2021
  • In order to prepare basic data for research on the protection of emotional workers in Pyeongtaek with the support of Pyeongtaek City, this study conducted a survey centered on 104 counselors classified as emotional laborers. Based on the results of the survey centered on 104 emotional workers, basic research data on the difficulties of emotional workers can be prepared, and protection methods for emotional workers who are currently interested in each local government can be found. As a result of selecting a sample centering on counselors in Pyeongtaek City for a survey on the actual condition of emotional workers, and conducting a survey based on the selected samples, it was found that emotional workers did not find their rights to human rights and were not protected even in the workplace. Currently, a bill to protect emotional workers is being announced, but it is not protected, so it is confirmed that system improvement is necessary. This study focused on 104 items that were significant through pre-processing among the recovered questionnaires. It was analyzed using SPSS, R, and it was confirmed that there is a need for a regulation that can provide an institutional device in Pyeongtaek City. In this study, it is judged that it is necessary to prepare a protective device for emotional workers by selecting more samples corresponding to the occupational group of emotional workers.

Prospect Theory and Risk Preferences of Real Estate Development Companies (부동산 개발 및 공급 기업의 손익과 경영진의 위험 선호도)

  • Kim, Byungil;Kim, Won Tae;Chung, Do-Bum
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.1
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    • pp.83-88
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    • 2022
  • Companies make decisions with risks such as choosing an investment plan in order to pursue profits. This study explained the decision making of the management of construction companies in South Korea using the tendency to avoid losses in the Prospect Theory. To this end, 20-year financial data of 2,881 companies engaged in real estate development, which have to bear the greatest risk among the construction industry, were collected. The collected companies were roughly classified based on the reference point, and the causal relationship between average return on equity and risk preference by group was empirically analyzed through regression analysis. As a result, it was confirmed that if the average return on equity of a company decreases for the group above the reference point, it tends to select an investment plan with low uncertainty in order not to lose additional money. In addition, it was confirmed that if the average return on equity of a company decreases for the group below the reference point, it tends to select an investment plan with high uncertainty to move to the profit area. This result is exactly consistent with the loss aversion tendency of the Prospect Theory.

Trends of Antifungal Agent Susceptibility of Candida Strains Isolated from Blood Cultures in 2009~2018 (2009~2018년 혈액배양으로부터 분리된 Candida 균종의 항진균제 감수성의 경향)

  • Hwang, Yu-Yean;Kang, On-Kyun;Park, Chang-Eun;Lee, Moo-Sik;Kim, Young-Kwon;Huh, Hee-Jae;Lee, Nam-Yong
    • Korean Journal of Clinical Laboratory Science
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    • v.54 no.2
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    • pp.133-141
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    • 2022
  • Candida is one of the most common causes of bloodstream infections and a leading cause of morbidity and mortality among hospitalized patients. The purpose of this study was to provide important information for formulating empirical treatment plans for candidemia by investigating the antifungal resistance rate of Candida. Among the Candida strains (973 cases) isolated from blood culture tests at the S hospital in 2009~2018, 4.7% (N=44) comprising the Candida spp. (932 strains) showed resistance to fluconazole. The resistant strains included C. albicans, C. parapsilosis, C. tropicalis, and C. glabrata. In addition Candida spp. (947 strains) showed resistance to amphotericin B (N=6, 0.6%), flucytosine (N=23, 2.4%) and voriconazole (N=24, 3.1%). C. albicans was resistant to fluconazole (N=23, 6.9%) and voriconazole (N=21, 6.0%), The statistical analysis showed that C. albicans and non-albicans Candida species were resistant to fluconazole (P=0.039) and voriconazole (P<0.001). A monitoring system to understand the rate of candidiasis infections in a hospital setting is required. It is also important to make the right choice of the antifungal agent based on drug susceptibility patterns. Therefore, an infection surveillance policy that tracks Candida resistance through regular antifungal susceptibility tests is necessary.

Big Data Utilization and Policy Suggestions in Public Records Management (공공기록관리분야의 빅데이터 활용 방법과 시사점 제안)

  • Hong, Deokyong
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.1-18
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    • 2021
  • Today, record management has become more important in management as records generated from administrative work and data production have increased significantly, and the development of information and communication technology, the working environment, and the size and various functions of the government have expanded. It is explained as an example in connection with the concept of public records with the characteristics of big data and big data characteristics. Social, Technological, Economical, Environmental and Political (STEEP) analysis was conducted to examine such areas according to the big data generation environment. The appropriateness and necessity of applying big data technology in the field of public record management were identified, and the top priority applicable framework for public record management work was schematized, and business implications were presented. First, a new organization, additional research, and attempts are needed to apply big data analysis technology to public record management procedures and standards and to record management experts. Second, it is necessary to train record management specialists with "big data analysis qualifications" related to integrated thinking so that unstructured and hidden patterns can be found in a large amount of data. Third, after self-learning by combining big data technology and artificial intelligence in the field of public records, the context should be analyzed, and the social phenomena and environment of public institutions should be analyzed and predicted.

Is Political Polarization Reinforced in the Online World?: Empirical Findings of Comments about News Articles (온라인 공간의 정치 양극화는 심화될 것인가?: 선거 기사 댓글에 대한 경험적 분석)

  • Eom, Ki-Hong;Kim, Dae-Sik
    • Informatization Policy
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    • v.28 no.4
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    • pp.19-35
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    • 2021
  • The purpose of this research is to investigate the attributes of the online world and to analyze their influence on democracy. The research focuses on the mayoral by-elections that were held in Seoul and Busan, South Korea, on April 4, 2021. The study demonstrates the characteristics of online spaces and the polarization of the online public through news articles and user comments from the Internet. The research includes topic modeling to measure the diversity of media reports, sentiment analysis to measure online public opinion, and interrupted time series analysis to understand how a particular event influences online attitudes. A combination of these methods is used to attempt to estimate the strength of political polarity in the online environment. The study shows diverse media reports by election region and candidate, where the online public repeatedly reveals high negative and low positive attitudes towards each candidate. Moreover, political polarity can differ based on the level of interest in an election. Although voters pay less attention to a by-election than a presidential election, there is a solid political polarity in the online world. Hence, the research recommends preparing measures to alleviate the polarization as politics requires significant online participation.

Influential Factors for the Happiness of the Elderly in the Metropolitan and Nonmetrolipotan Areas : On the Basis of the 2019 Community Health Survey Data (수도권과 비수도권 노인의 행복감에 영향을 주는 요인 : 2019년 지역사회 건강조사 자료 활용)

  • Kim, Hwan-Hui
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.8
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    • pp.305-314
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    • 2020
  • The purpose of this study was to provide basic information on regional senior welfare policy setting for the elderly in the metropolitan and nonmetropolitan areas and on the development of senior welfare programs on the basis of the data of the 2019 community health survey conducted by Korea Disease Control and Prevention Agency. The subjects in this study were 74,547 senior citizens who were at the ages of 65 and over as of 2019 and who were 17,423 from the metropolitan area and 57,124 from the nonmetropolitan areas. The collected data were analyzed by SPSS version 26.0. The findings of the study were as follows: As for the levels of happiness in the metropolitan area, happiness was better in the seniors who were aged 75 and up, who had spouses, whose income was larger and who engaged in economic activity. In the nonmetropolitan areas, happiness was better in the seniors who were aged 75 and up, who were better educated, who had spouses, whose income was larger and who engaged in economic activity. In terms of health behaviors and subjective health levels, more happiness was felt by the seniors who didn't smoke at present, who didn't suffer any subjective stress, who were at higher subjective health levels and higher subjective oral health levels and who had unmet health care needs, no matter whether they dwelled in the metropolitan or nonmetropolitan areas. In the nonmetropolitan areas, however, engaging in intensive physical activity and lower BMI were identified as the factors to affect happiness.

An Analysis of Gender Mainstreaming in the Urban Policies of Mexico (멕시코 도시정책의 젠더주류화 전략분석)

  • Jung, Sang-Hee
    • Iberoamérica
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    • v.22 no.1
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    • pp.31-72
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    • 2020
  • This study examines the concepts and policy factors regarding gender-mainstreaming strategies and urban areas that have been discussed in the fields of international norms and development cooperation from the perspective of the Mexican government. It analyzes how gender-mainstreaming strategy is integrated and realized through Mexican law and key programs carried out by Mexico City. Through a literature review, this study builds upon previous research and theoretical discussions. In fact, Mexican federal government is considered to have successfully achieved "gender institutionalization." Within the framework of the law and institutions, the programs promoted by Mexico City aim to realize women's rights and meet their needs in the metropolis, while emphasizing a wider participation by citizens to realize these urban rights. In particular, the government of Mexico City is expanding on policies and programs that focus on strengthening the financial autonomy of women by understanding women's vulnerabilities as inequalities arising in the areas of the economy, space, and time.

IoT data trust techniques based on auto-encoder through IoT-linked processing (오토인코더 기반의 IoT 연계 처리를 통한 IoT 데이터 신뢰 기법)

  • Yon, Yong-Ho;Jeong, Yoon-Su
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.351-357
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    • 2021
  • IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.

Risk Factors for COVID-19 Infection Among Healthcare Workers. A First Report From a Living Systematic Review and meta-Analysis

  • Dzinamarira, Tafadzwa;Nkambule, Sphamandla Josias;Hlongwa, Mbuzeleni;Mhango, Malizgani;Iradukunda, Patrick Gad;Chitungo, Itai;Dzobo, Mathias;Mapingure, Munyaradzi Paul;Chingombe, Innocent;Mashora, Moreblessing;Madziva, Roda;Herrera, Helena;Makanda, Pelagia;Atwine, James;Mbunge, Elliot;Musuka, Godfrey;Murewanhema, Grant;Ngara, Bernard
    • Safety and Health at Work
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    • v.13 no.3
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    • pp.263-268
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    • 2022
  • Health care workers (HCWs) are more than ten times more likely to be infected with coronavirus infectious disease 2019 (COVID-19) than the general population, thus demonstrating the burden of COVID-19 among HCWs. Factors that expose HCWs to a differentially high-risk of COVID-19 acquisition are important to elucidate, enable appropriate public health interventions to mitigate against high risk and reduce adverse outcomes from the infection. We conducted a systematic review and meta-analysis to summarize and critically analyze the existing evidence on SARS-CoV-2 risk factors among HCWs. With no geographical limitation, we included studies, in any country, that reported (i) the PCR laboratory diagnosis of COVID-19 as an independent variable (ii) one or more COVID-19 risk factors among HCWs with risk estimates (relative risk, odds ratio, or hazard ratio) (iii) original, quantitative study design, and published in English or Mandarian. Our initial search resulted in 470 articles overall, however, only 10 studies met the inclusion criteria for this review. Out of the 10 studies included in the review, inadequate/lack of protective personal equipment, performing tracheal intubation, and gender were the most common risk factors of COVID-19. Based on the random effects adjusted pooled relative risk, HCWs who reported the use of protective personal equipment were 29% (95% CI: 16% to 41%) less likely to test positive for COVID-19. The study also revealed that HCWs who performed tracheal intubations were 34% (95% CI: 14% to 57%) more likely to test positive for COVID-19. Interestingly, this study showed that female HCWs are at 11% higher risk (RR 1.11 95% CI 1.01-1.21) of COVID-19 than their male counterparts. This article presents initial findings from a living systematic review and meta-analysis, therefore, did not yield many studies; however, it revealed a significant insight into better understanding COVID-19 risk factors among HCWs; insights important for devising preventive strategies that protect them from this infection.

Social Network Analysis of Long-term Standby Demand for Special Transportation (특별교통수단 장기대기수요에 대한 사회 연결망 분석)

  • Park, So-Yeon;Jin, Min-Ha;Kang, Won-Sik;Park, Dae-Yeong;Kim, Keun-Wook
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.93-103
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    • 2021
  • The special means of transportation introduced to improve the mobility of the transportation vulnerable met the number of legal standards in 2016, but lack of development in terms of quality, such as the existence of long waiting times. In order to streamline the operation of special means of transportation, long-term standby traffic, which is the top 25% of the wait time, was extracted from the Daegu Metropolitan Government's special transportation history data, and spatial autocorrelation analysis and social network analysis were conducted. As a result of the analysis, the correlation between the average waiting time of special transportation users and the space was high. As a result of the analysis of internal degree centrality, the peak time zone is mainly visited by general hospitals, while the off-peak time zone shows high long-term waiting demand for visits by lawmakers. The analysis of external degree centrality showed that residential-based traffic demand was high in both peak and off-peak hours. The results of this study are considered to contribute to the improvement of the quality of the operation of special transportation means, and the academic implications and limitations of the study are also presented.