• 국제지역연구
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• 제20권2호
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• pp.235-256
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• 2016

한국 지방정부들은 일찍부터 중국, 미국, 일본을 중심으로 하는 시장성이 크거나 잠재력이 높은 지역에 대하여 경쟁적으로 해외사무소를 설치하였다. 이것은 교류협력을 보다 적극적이고 선제적인 대응전략을 수립 하고자는 목적에서 시작되었다. 그러나 해외사무소가 본래 취지와는 다르게 예산투입 대비 만족스런 성과가 나오지 않는 것이 문제점이며 최근에 들어서는 운영 자체에 대한 비판의 목소리도 커지고 있다. 우리나라 지방정부별 중국사무소의 운영 현황에 대한 심층 분석과 교류협력 확대방안 모색을 위해 직접 10개의 지방자치단체를 방문하여 담당자 인터뷰를 하였다. 분석결과 지방정부들은 민간과 협력 네트워크 구성, 해외사무소의 전문성 강화, 투자유치를 위한 역할 증대, 해외사무소 개설시 메가시티 선호, 해외사무소의 운영비 절감을 중점적으로 추진하고 있다.

• 문화기술의 융합
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• 제7권3호
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• pp.203-213
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• 2021

이 연구의 목적은 간호대학생의 전공 만족도, 전공선택 동기, 전공몰입을 파악하고, 전공몰입의 영향요인 그리고 전공선택 동기의 매개역할을 파악하기 위한 서술적 조사 연구이다. 자료 수집은 대구·경북지역에 소재한 간호대학에 재학 중인 228명이었으며, 자료 수집은 2020년 11월 7일부터 11월 16일까지였다. 수집된 자료는 SPSS/WIN 22.0 프로그램으로 분석하였다. 분석결과, 전공 만족도, 전공선택 동기, 전공몰입은 높은 것으로 나타났다. 전공몰입 영향요인으로는 전공만족도와 전공선택 동기가 예측되었다. 전공 만족도와 전공몰입의 간에 전공선택 동기는 부분매개역할을 하였고, 구체적인 분석에서는 개인적 동기가 부분매개역할을 하였다. 이러한 결과는 간호대학생의 전공몰입도를 향상시키는 기초정보를 제공하게 되며, 간호학 선택과정의 중요성을 시사하였다.

• Safety and Health at Work
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• 제13권1호
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• pp.112-116
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• 2022

Background/Aims: The Gachon Regional Occupational Cohort Study (GROCS) is a large-scale longitudinal study of occupational safety and health data (covering Work Environment Monitoring, Workers' Health Surveillance, and Occupational Health Service) conducted by the Gachon University Gil Medical Center (GUGMC) in Incheon, Republic of Korea. We conducted GROCS to identify the health effects of workers' occupational risks, behavior, socioeconomic status, and life style. Methods: The GROCS includes data from Work Environment Monitoring, Workers' Health Surveillance, and Occupational Health Service. The baseline year for all data collection was 2018. Work Environment Monitoring was conducted in 240 companies located in Incheon. General Health Examination and Special Health Examination were performed on 32,725 and 9,504 workers, respectively. Occupational Health Services were provided to 16,883 workers in 171 companies. These data have been collected and operated at an external data management institution and were provided as a retrospective cohort after removing personal identification information. Results: In 2018, the total number of companies was 2,854, among which which 488 special Health Examination, 171 Work Environment Monitoring, and 240 Occupational Health Service. The proportion of companies undergoing Special Health Examination was 17.1%, the proportion of companies undergoing Work Environment Monitoring was 8.4%, and the proportion of Companies undergoing Occupational Health Service was 6.0%. Conclusion: GROCS expects researchers to utilize its useful and reliable resource for occupational health and surveillance with for academic or political purposes to lead to improved workers' health and working environment.

• 한국보육지원학회지
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• 제19권3호
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• pp.19-39
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• 2023

Objective: The purpose of this study was to analyze the experiences of foreign students in childcare practicum, with a specific focus on identifying the difficulties they encountered and the values they derived from their practicum experiences. The aim was to gain insights that can contribute to improving practicum support for these students. Methods: A total of 6 foreign students were selected as participants for this study using snowball sampling. The data collection period spanned from May 2021 to March 2023, during which semi-structured interviews were conducted and qualitatively analyzed. Results: Foreign students faced challenges in securing practicum placements prior to the start of their program. Communication difficulties necessitated the use of interpreters to interact with children. Additionally, documenting information in a language other than their mother tongue posed a challenge. Consequently, there was a need for tailored training support to address the specific needs of foreign students in childcare practicum. Despite these challenges, the students reported rewarding and valuable experiences during their practicum. These experiences included discovering the teaching identity in Korea, learning about desirable practices in the field, recognizing and addressing personal shortcomings, and developing a sense of vocation for the advancement of infant education in their home countries. Conclusion/Implications: If we actively listen to and provide appropriate support for the specific needs of foreign students in their childcare practicum, they have the potential to become excellent childcare teachers who can foster a harmonious and inclusive environment within our multicultural society.

• 의학교육논단
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• 제25권2호
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• pp.84-101
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• 2023

Longitudinal data can provide important evidence with the potential to stimulate innovation and affect policies in medical education and can serve as a driving force for further developments in medical education through evidence-based decisions. Tracking and observing cohorts of students and graduates using longitudinal data can be a way to link the past, present, and future of medical education. This study reviewed practical methods and technical, administrative, and ethical considerations for the establishment and operation of a longitudinal database and presented examples of longitudinal databases. Cohort study design methods and previous examples of research using longitudinal databases to explore major topics in medical education were also reviewed. The implications of this study are as follows: (1) a systematic design process is required to establish longitudinal data, and each university should engage in ongoing deliberation about this issue; (2) efforts are needed to alleviate "survey fatigue" among respondents and reduce the administrative burden of those conducting data collection and analysis; (3) it is necessary to regularly review issues of personal information protection, data security, and ethics regarding the survey respondents; and (4) a system should be established that integrates and manages a longitudinal database of medical education at the national level. The hope is that establishing longitudinal data and cohorts at individual medical schools will not be a temporary phenomenon, but rather that they will be well utilized at the national level to innovate and implement ongoing changes in medical education.

• International Journal of Advanced Culture Technology
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• 제5권3호
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• pp.24-34
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• 2017

Nail art is a kind of nail painting or decoration that adds to the beauty. Throughout making nail art, the worker was on a dusty operation with the smoothing of chemicals and nails. People working at nail shops not only use a variety of chemicals, but also experience a lot of fine powder during the process of nail trimmings. While drying the chemical adhesive, the workers often complain of eye, nose and throat discomfort. In addition, the acrylic brush is characterized by a lot of smell when washed with washing solution. Also nail art workers directly influence the worker's breathing through the work done by placing the guest's hands in a work space called a nail table. Chemical ingredients used in nail art procedures include acetone, ethyl acetic acid, toluene, butyl acetic acid, glue, and top coating of nail varnishes. Prolonged inhalation of these substances may cause dizziness, vomiting, as well as impaired respiratory system. The purpose of this study is to investigate the respiratory symptoms of nail shop workers who are likely to be affected by work in nail shop and to find out which factors have the greatest influence if they have respiratory symptoms. Therefore this study is to provide basic data on the health management system of people engaged in nail shop and to develop health education program. For this study, the data collection was collected on July 7, 2017 for the nail shop workers attending the nail art trend seminar held in Gwangju, in Korea. The data were all 236. However, except for the poor data, 208 data were used for the final analysis. The questionnaire consisted of 30 in general questions, questions about self-efficacy in 24 questions. elf-efficacy measuring tool developed by A.Y, Kim, I. Y, Park(2001). The self-efficacy questionnaire consists of 24 items and is self-reported 7-point Likert scale. The reliability of this tool was cronbach alpha = .934.The collected data were analyzed using spss 18.0. Information of Research participant performed frequency analysis. To examine the effects of personal characteristics on self-efficacy, $X^2$ analysis was conducted. And also $X^2$ analysis was conducted to analyze the coughing symptom appearance according to individual and environmental factors. A hierarchical regression analysis was used to determine which of the personal and environmental factors influenced cough symptoms.

• 보건행정학회지
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• 제32권1호
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• pp.94-106
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• 2022

Background: The efforts to build more "people centered," "patient centered" health system has been emerging all over the world. Aligning with it, the Korean government is conducing the survey called "Medical Service Experience Survey (MSES)." There are critics, however, that MSES is not scrutinizing the medical experiences of patients in various healthcare settings. For this reason, this study aims to perform an empirical analysis of the differences in answers of patients responding to various healthcare settings. Methods: There are two steps in this study. First, explanatory analysis is conducted to compare the tendency of statistical concentration on questionnaires by divided healthcare settings. Second, confirmative analysis is carried out to evaluate the construct validity, reliability, and discriminant validity of the questionnaire in each healthcare setting. The raw data of MSES, which was conducted in 2020 by the Ministry of Health and Welfare in Korea and the Korean Institute for Health and Social Affairs is used. Results: As a result of exploratory factor analysis for all outpatients, the items were classified into four factors statistically: "doctor experience," "nurse experience," "outpatient service experience," and "patient satisfaction." It was confirmed that the reliability of all factors extracted was secured. However, for patients who visited hospitals, questionnaires related to personal privacy, such as "experiences on medical staffs considering physical exposure" or "experiences related to personal information exposure," were answered in conjunction with items of "nurse experience." Besides, patients responded that administrative elements of medical services, such as "experiences of comfort in medical institutions" and "experiences of satisfactory administrative services," were related to the items of "nurse experience." The answers of patients who visited traditional medical hospitals and clinics about "doctor experience" and "nurse experience" were not discerned statistically, and the answers to "doctor experience," "nurse experience," and "medical institution experience" were entangled with the responses of patients who visited dental hospitals and clinics. On the other hand, as a result of the confirmatory factor analysis, it was found that the inquiries of MSES generally had intensive validity. Conclusion: The collection of objective and scientific data is the prominent component to enlighten the patient-centered healthcare system alongside with change of the worldwide paradigm of measuring the healthcare system performance as follows the transition of perspective of health care from provider-centered to patient-centered. This study empirically shows that the patient experience can vary as the healthcare settings. Furthermore, to make an advance in measuring the experience of patients with medical services, this article proposes the deliberate consideration of the different kinds of healthcare settings and articulate design of the survey.

• 정보관리학회지
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• 제24권2호
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• pp.5-27
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• 2007

도서관 서비스 품질평가 도구인 $LibQUAL+^{TM}$에 대한 많은 연구논문이 발표되었으나, $LibQUAL+^{TM}$ 요인과 도서관 서비스 이용의도 사의의 관계를 연구한 사례는 매우 드물다. 본 논문은 Icek Ajzen의 계획적 행위이론을 적용하여 도서관 서비스 이용의도에 영향을 미치는 요인을 추출하고자 하였다. 이러한 요인을 추출하기 위하여 미국 대학생을 대상으로 웹 설문을 실시하였고, 요인분석 및 다중회귀분석을 통하여 수집된 데이터를 분석하였다. 분석결과, 도서관 서비스 이용의도는 도서관에서 제공되는 서비스 품질에 대한 이용자의 태도와 관련이 있었다. 통계분석결과 유의미하게 나타난 태도요인은 이용자가 지각한 (1) 정보원 및 시스템 이용시의 주도성, (2) 서비스 제공 의향정도, (3) 제공되는 정보의 포괄성이었다. $LibQUAL+^{TM}$ 요인간의 상대적 중요도를 측정하였다. 반면에, 이용의도에 유의미한 영향을 미치지 않는 요인으로는 정보접근의 적시성과 물리적인 공간으로서의 도서관을 지각하는 부분이었다. 본 연구의 의의는 도서관 서비스 품질평가에 대한 연구의 영역을 확장시키고 이용의도를 고려한 새로운 평가 체계를 제시한 점이다.

• 경영정보학연구
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• 제25권3호
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• pp.99-120
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• 2023

본 연구는 택배 이용자의 프라이버시 침해 경험이 프라이버시 심리와 행동에 미치는 영향을 조사하였다. 택배 이용자가 프라이버시 침해 경험을 가지고 있는가에 따라, 프라이버시 침해 사건에 대해 학습이 이루어지고, 인지가 형성되고, 감정이 형성되고, 행동이 나타난다. 이러한 택배 이용자의 프라이버시 심리의 변화 과정은 프라이버시 보호 행동 반응을 예측하는데 중요하다. 본 연구에서는 태도이론을 응용해 택배 이용자의 프라이버시 심리를 설명하기 위한 연구의 이론적 프레임워크를 개발하였다. 이 프레임워크에 기반해, 택배서비스 이용자의 프라이버시 침해 경험, 인지된 프라이버시 위험, 프라이버시 염려 (즉, 개인정보 오류에 따른 염려, 비인가된 이차 이용에 따른 염려, 개인정보 수집에 따른 염려, 부적절한 개인정보에 대한 접근 염려), 프라이버시 보호 행동의 관계를 분석하였다. 본 연구에서는 제안된 연구모델에 대해 택배서비스 이용 경험이 있는 사람들을 대상으로 설문조사를 하였고, SMART-PLS 구조방정식 소프트웨어를 이용해 실증분석을 하였다. 본 연구의 실증분석 결과는 택배 이용과정에서의 프라이버시 침해 경험, 프라이버시 위험, 프라이버시 염려, 그리고 프라이버시 보호 행동 사이에는 인과관계가 존재하는 것으로 나타났다. 본 연구결과는 안전한 택배 서비스를 위한 프리이버시 보호 행동 연구에 유용한 이론적 시사점을 제공해 주었고, 더불어 보다 안전한 택배 비즈니스 모델 개발에 유용한 실무적 시사점을 제공해 주었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.