• Title/Summary/Keyword: workforce

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Successful Implementation Measures of Global On-Board Training Program for Capacity building of International Seafaring Workforce (국제 해기인력 역량강화를 위한 글로벌 승선실습 프로그램의 효율적인 시행방안에 관한 연구)

  • Jee-Hyun Lee;Jinsoo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.355-356
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    • 2022
  • The pilot GOBT program was carried out from November 17th - December 17th 2021 at KIMFT; self-isolation for 10 days, Basic Safety Training(BST) for 5 days and 2 weeks of on-board training(OBT) were conducted during the period. Total 20 cadets from 5 different Countries were participated under the financial support of IMO ITCP and Korean ODA program. The program aims to provide capacity-building courses focusing on on-board training and assisting future maritime officers in meeting the minimum standard of seagoing experience in accordance with the STCW Convention. In the meantime, the program itself can serve as a platform to share best practices of how the training including the curriculum can be organized on specialized training vessels. The questionnaire survey was carried out to evaluate the GOBT program, and the overall average score was 96.4 points which seems that the cadets were very satisfied with the Global On-Board Training program provided by KIMFT in 2021.

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A Study on the relationship between work from home and sleep disturbances among workers: using the 5th working environment survey (제5차 근로환경조사를 통해 조사된 재택근무와 수면장애 간의 연관성 연구)

  • Hyun-Jung Kim;Seo-Yeon Park;Hyung Jin Kwon;Yi-Qin Fang;Lei Lee
    • Journal of Korean Academy of Dental Administration
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    • v.11 no.1
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    • pp.78-88
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    • 2023
  • This study aimed to analyze the correlation between working from home and sleep disorders among domestic workers using data from the 5th Working Environment Survey in 2017. Out of the total 30,108 wage workers, 818 employees work from home and 4,090 work in an office. A random sample of 1:5 pairs, considering gender and occupational group, was selected from these employees as the study subjects. The analysis included personal characteristics, occupational characteristics, work-from-home arrangements, and sleep disorders. Age, education, employment status, years in the workforce, weekly working hours, work-life balance, self-perceived health, depression, and anxiety were all adjusted as potential confounding variables. Conditional logistic regression analysis was conducted to examine the relationship between working from home (independent variable) and sleep disorder (dependent variable). This analysis aimed to analyze the correlation between working from home and sleep disorder. The analysis revealed that working from home was associated with sleep onset latency disorder OR=3.23 (95% CI=2.67~3.91), sleep maintenance disorder OR=3.67 (95% CI=3.02~4.45), and non-restorative sleep OR=3.01 (95% CI=2.46~3.67), which showed a statistically significant relationship with all three types of sleep disorders. Factors influencing the correlation between working from home and sleep disorders included work-life balance, social isolation, and anxiety.

Differences in Perception of Quality Dental Job Conditions and Job Satisfaction between Dentists and Dental Hygienists

  • Mi-Sook Yoon;Bo-Young Park
    • Journal of dental hygiene science
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    • v.23 no.4
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    • pp.361-368
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    • 2023
  • Background: This study aims to investigate the perceptions of dentists and dental hygienists regarding quality dental job conditions and to identify differences in perceptions based on job type. Methods: As a result of conducting face-to-face and online surveys, data from a total of 132 people were analyzed. In order to investigate the perception of quality job conditions, the importance of a total of 13 items was investigated, and the work policies and job satisfaction of the current workplace were examined. Since the data did not follow a normal distribution, a non-parametric test, the Mann-Whitney U test, was performed. Results: Both dentists and dental hygienists perceived income and working hours to be of priority importance for quality job conditions. Dental hygienists valued holiday support and welfare, human relations, and personal development potential more than dentists (p<0.05). Looking at differences by job type, dental hygienists rated all conditions as more important than dentists except income, indicating a statistically significant difference (p<0.05). In terms of the work policies, 96.2% of the practices in the study were required to have the four types of social security contributions, but fewer had flexible working hours (19.7%), healthcare support (23.5%), and incentives (25.0%). Of the participants, 60.6% had parental leave available at their workplace, and dental hygienists had statistically significantly higher job satisfaction when parental leave was available (2.57 points) than when it was not (p<0.05). Conclusion: Quality dental jobs are an important factor in keeping workers happy and maintaining an efficient practice. Dental practice owners need to pay attention to the quality of jobs required by the dental workforce, provide flexible working hours and welfare programs such as parental leave, and create a workplace atmosphere and human resource management system that supports the use of these programs.

A 20-Year Update on the Practice of Thoracic Surgery in Canada: A Survey of the Canadian Association of Thoracic Surgeons

  • Sami Aftab Abdul;Frances Wright;Christian Finley;Sebastien Gilbert;Andrew J. E. Seely;Sudhir Sundaresan;Patrick J. Villeneuve;Donna Elizabeth Maziak
    • Journal of Chest Surgery
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    • v.56 no.6
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    • pp.420-430
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    • 2023
  • Background: This study provides an update to a landmark 2004 report describing demographics, training, and trends in adherence to thoracic surgery practice standards in Canada. Methods: An updated questionnaire was administered to all members of the Canadian Association of Thoracic Surgeons via email (n=142, compared to n=68 in 2004). Our report incorporates internal data from Ontario Health and the Canadian Partnership Against Cancer. Results: Forty-eight surgeons completed the survey (male, 70.8%; mean±standard deviation age, 50.3±9.3 years). This represents a 33.8% response rate, compared to 64.7% in 2004. Most surgeons (69%) served a patient population of over 1 million per center; 32%-34% reported an on-call ratio of 1:4-1:5 days, and the average weekly hours worked was 56.4±11.9. Greater access to dedicated geographic units per center (73% in 2021 vs. 53% in 2004) has improved thoracic-associated services and house staff, notably endoscopy units (100% vs. 91%), with 73% of respondents having access to both endobronchial and endoscopic ultrasound. Access to thoracic radiology has also improved, particularly regarding positron emission tomography scanners per center (76.9% vs. 13%). Annual case volumes for lung (255 vs. 128), esophageal (41 vs. 19), and mediastinal resections (30 vs. 13), along with hiatal hernia repair (45 vs. 20), have increased substantially despite reports of operating room availability and radiology as rate-limiting steps. Conclusion: This survey characterizes compliance with current practice standards, addressing the needs of thoracic surgeons across Canada. Over 85% of respondents were aware of the 2004 compliance paper, and 35% had applied for resources and equipment in response.

Long COVID symptoms and associated factors in registered nurses with COVID-19 (코로나19 확진 간호사의 롱코비드(long COVID) 증상과 관련 요인)

  • Park, Ga Eun;Park, Yeon-Hwan
    • The Journal of Korean Academic Society of Nursing Education
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    • v.30 no.1
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    • pp.49-60
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    • 2024
  • Purpose: The coronavirus disease 2019 (COVID-19) pandemic has had significant physical and psychological impacts on registered nurses (RNs). This study aimed to identify long COVID symptoms and their associated factors specifically among RNs. Methods: This descriptive correlational study's sample comprised 189 nurses (31.57±5.98 years, 93.7% female) in Korea. Self-reported long COVID symptoms were assessed using the COVID-19 Yorkshire Rehabilitation Scale. Data were collected from December 31, 2022, to January 13, 2023, using the online survey method and were analyzed using independent t-test, Wilcoxon signed-rank test, one-way ANOVA, Pearson's correlation, and a multiple linear regression analysis with the IBM SPSS Statistics 26.0 program. Results: A total of 179 participants (94.7%) experienced one or more long COVID symptoms. The most prevalent symptoms were weakness (77.8%), fatigue (68.3%), breathlessness (67.7%), cough/throat sensitivity/voice change (50.3%), and sleep problems (50.3%). The factors related to long COVID symptoms were marital status, type of institution, working time, acute COVID-19 symptoms, and vaccination status. The quarantine period (β=.26, p<.001) and the nursing workforce after COVID-19 (β=-.17, p=.018) were significantly associated with long COVID symptoms (Adjusted R2 =.33). Conclusion: Providing comprehensive recognition is necessary for the understanding of long COVID symptoms and their associated factors among nurses and could promote a long COVID symptom management education program targeted at nurses. Moreover, it could facilitate effective nursing care and education plans for long COVID patients.

Security Threats to Enterprise Generative AI Systems and Countermeasures (기업 내 생성형 AI 시스템의 보안 위협과 대응 방안)

  • Jong-woan Choi
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.9-17
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    • 2024
  • This paper examines the security threats to enterprise Generative Artificial Intelligence systems and proposes countermeasures. As AI systems handle vast amounts of data to gain a competitive edge, security threats targeting AI systems are rapidly increasing. Since AI security threats have distinct characteristics compared to traditional human-oriented cybersecurity threats, establishing an AI-specific response system is urgent. This study analyzes the importance of AI system security, identifies key threat factors, and suggests technical and managerial countermeasures. Firstly, it proposes strengthening the security of IT infrastructure where AI systems operate and enhancing AI model robustness by utilizing defensive techniques such as adversarial learning and model quantization. Additionally, it presents an AI security system design that detects anomalies in AI query-response processes to identify insider threats. Furthermore, it emphasizes the establishment of change control and audit frameworks to prevent AI model leakage by adopting the cyber kill chain concept. As AI technology evolves rapidly, by focusing on AI model and data security, insider threat detection, and professional workforce development, companies can improve their digital competitiveness through secure and reliable AI utilization.

A Study of After School Care Services in the Child Welfare System (아동복지제도 방과 후 돌봄서비스에 관한 연구)

  • Yeon Ja Kim;Hyun-Seung Park
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.103-111
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    • 2024
  • In this study, the problem of child care gaps has arisen due to the expansion of women's entry into the workforce and the increase in working couples, and the care cliff phenomenon after children enter elementary school has been identified as one of the causes of women's career disconnection and low birth rates, and child care services have been initiated to solve care problems and balance work and family. The importance of childcare services to the safety and well-being of children has been highlighted by the restrictions on school attendance and the absence of caregivers during the COVID-19 pandemic. The government has been making policy efforts to reduce the gap in child care, but problems with the effectiveness and efficiency of the child care system have arisen due to unstable target selection and delivery systems by ministries and projects in the implementation of child care services. Therefore, this study examines the child care services implemented by each ministry to reduce the blind spots of after-school care services in the community and prepare efficient operation plans for various delivery systems, and seeks directions for the development of child care services.

Empirical Meanings and Dilemmas of the Profession of an Academic Librarian: Applying Giorgi's Phenomenological Method (대학도서관 사서 직업에 대한 경험적 의미와 딜레마: Giorgi의 현상학 방법을 적용하여)

  • Sun-Ae Lee
    • Journal of the Korean Society for information Management
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    • v.41 no.2
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    • pp.353-374
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    • 2024
  • This study aimed to delve into the personal experiences of academic librarians as they perform their duties, seeking a holistic understanding of their professional experiences and the subjective experiences underlying them. To this end, the study conducted in-depth interviews with librarians, who were selected as research participants from private four-year universities, and analyzed the collected data using Giorgi's phenomenological analysis method. The findings reveal that the experiences of academic librarians can be summarized as "ambivalent perceptions of the librarian profession," "discrepancies between expectations and reality," "discriminatory personnel practices within university organizations," "growth and limitations derived from professional experiences," and "adaptation and anxiety in response to rapid environmental changes." A closer examination indicated that academic librarians continuously experience and resolve dilemmas within complex contexts. The findings of this study are expected to deepen the understanding of the profession of academic librarians and contribute to the development of practical strategies for workforce management and the improvement of working conditions.

A Study on the Determinants of Migration Types of the Youth in Non-metropolitan Areas by using a Hierarchical Logit Model (위계로짓모형을 활용한 비수도권 청년층의 이주유형별 결정요인 비교분석)

  • Hansoun Woo
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.4
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    • pp.421-442
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    • 2023
  • This research focuses on the fact that the characteristics of migration types of the youth in non-metropolitan areas vary by region and has the primary objective of comparing and analyzing the differences in determinants of each migration type. First, An exploratory analysis of the migration status and characteristics of the youth in non-metropolitan areas was conducted, and then a hierarchical logit model was used to estimate the determinants of migration types separately. The results showed that the characteristics of migration types vary by region, and each determinant of migration types is composed of different bundles of variables(individual and regional levels). In the future, policies aimed at securing young workforce in non-metropolitan areas will be more effective when they take into account various determinants of migration choices and reflect the regional context.

A Development of Unbalanced Box Stacking System with High Stability using the Center of Gravity Measurement (무게중심 측정을 이용한 불평형 상자의 고안정 적재 시스템 개발)

  • Seong-Woo Bae;Dae-Gyu Han;Jae-Ho Ryu;Hyeon-hui Lee;Chae-Hun An
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.1
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    • pp.229-237
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    • 2024
  • The logistics industry is converging with digital technology and growing into various logistics automation systems. However, inspection and loading/unloading, which are mainly performed in logistics work, depend on human resources, and the workforce is shrinking due to the decline in the productive population due to the low birth rate and aging. Although much research is being conducted on the development of automated logistics systems to solve these problems, there is a lack of research and development on load stacking stability, which has the potential to cause significant accidents. In this study, loading boxes with various sizes and positions of the center of gravity were set up, and a method for stacking that with high stability is presented. The size of the loading box is measured using a depth camera. The loading box's weight and center of gravity are measured and estimated by a developed device with four loadcells. The measurement error is measured through various repeated experiments and is corrected using the least squares method. The robot arm performs load stacking by determining the target position so that the centers of gravity of the loading boxes with unbalanced masses with a random sequence are transported in alignment. All processes were automated, and the results were verified by experimentally confirming load stacking stability.