• Title/Summary/Keyword: smart initiatives

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A Study on the Effect of CSR Leading Factors of Korean Shipping Companies on CSR Implementation and Job Satisfaction (우리나라 해운선사의 사회적 책임활동 선행요인이 직무만족에 미치는 영향에 관한 연구)

  • Han, Kye-Sook;Kim, Tae-Woo
    • Journal of Korea Port Economic Association
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    • v.35 no.3
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    • pp.109-124
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    • 2019
  • Corporate social responsibility (CSR) is gaining significance in various industries and academic research. However, shipping companies have a relatively less interest in CSR. Considering the International Maritime Organisation's (IMO) 2020 model and its focus on sustainability, it is time for shipping companies to consider the active use of CSR initiatives. This study aims to examine the leading factors influencing CSR implementation and job satisfaction. The analysis was conducted using partial least squares and statistical package for social sciences 18.0 to achieve the research objectives. The results showed that the internal and external factors of shipping companies play a positive role in CSR implementation, which was found to play a positive role in enhancing job satisfaction. The implications of this study are to identify factors that drive shipping companies to improve their CSR performance.

Design of Education Service for 1:1 Customized Elderly SmartPhone using Generative AI applicable in Local Governments (지자체에서 활용할 수 있는 생성형 AI를 이용한 1:1 맞춤형 노인 스마트폰 교육 서비스 설계)

  • Min-Young Chu;Yean-Woo Park;Soo-Jin Heo;Seung-Hyeon Noh;Won-Whoi Huh
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.133-139
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    • 2024
  • In response to the challenges posed by a super-aged society, local authorities are conducting educational programs on smartphone usage tailored for the elderly. However, obstacles such as the limitations of one-to-many education and suboptimal learning outcomes for the elderly have hindered the efficacy of smartphone education. This study suggests an educational service intended for direct application in offline settings, considering the identified problems. Through the utilization of generative AI, the proposed app identifies specific challenges encountered by users during actual smartphone use, offering personalized exercises to facilitate customized and repetitive learning experiences for individual users. When integrated with existing local government education initiatives, this app is anticipated to enhance the efficiency of smartphone education by providing personalized, one-on-one training that is efficient in terms of time and content.

Big Data News Analysis in Healthcare Using Topic Modeling and Time Series Regression Analysis (토픽모델링과 시계열 회귀분석을 활용한 헬스케어 분야의 뉴스 빅데이터 분석 연구)

  • Eun-Jung Kim;Suk-Gwon Chang;Sang-Yong Tom Lee
    • Information Systems Review
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    • v.25 no.3
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    • pp.163-177
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    • 2023
  • This research aims to identify key initiatives and a policy approach to support the industrialization of the sector. The research collected a total of 91,873 news data points relating to healthcare between 2013 to 2022. A total of 20 topics were derived through topic modeling analysis, and as a result of time series regression analysis, 4 hot topics (Healthcare, Biopharmaceuticals, Corporate outlook·Sales, Government·Policy), 3 cold topics (Smart devices, Stocks·Investment, Urban development·Construction) derived a significant topic. The research findings will serve as an important data source for government institutions that are engaged in the formulation and implementation of Korea's policies.

A Study on the Types and Determinants of Young Farmers: Focusing on Young Farmers in Muan-gun, Jeollanam-do (청년농업인 유형화 및 결정요인 분석: 전남 무안군 청년농업인 중심으로)

  • Hyangmi Yi;Jongha Kim
    • Land and Housing Review
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    • v.15 no.2
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    • pp.107-124
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    • 2024
  • Based on Muan-gun, Jeollanam-do, this study explores how to mitigate the disappearance of rual areas. The study surveyed 95 young farmers in Muan-gun to assess their farming practices and the challenges they face. We further employ factor analysis and cluster analysis classify young farmers in Muan-gun, facilitating the identification of tailored policies or initiatives aimed at fostering and supporting young farmers. The results are summarized as follows. First, Muan County does not have any ordinances or original projects specifically designed to support young farmers. Second, the succession rate of farmland among young farmers in Muan County is 41.1%, which is comparable to the national rate of 43.7%. This indicates that approximately 40% of young farmers in Korea have inherited farmland, a critical foundation for agricultural activities. Third, despite accumulating farming experience, young farmers have not seen any improvement in local living conditions, and rather their difficulties have intensified. Fourth, this study conducted a factor analysis using 21 variables, resulting in the selection of seven common factors for cluster analysis. Consequently, young farmers in Muan County were categorized into three groups. The multinomial logit analysis revealed that the typology of young farmers is influenced by indicators such as cultivated area, farming experience, demand for smart farms, farm income, and farming type (rice cultivation or other). Therefore, to attract young farmers and prevent the decline of rural areas, policy efforts should focus on minimizing entry barriers to farming infrastructure, such as access to farmland, and improving local settlement conditions.

A Study on the Choice of Export Payment Types by Applying the Characteristics of the New Trade & Logistics Environment (신(新)무역물류환경의 특성을 적용한 수출대금 결제유형 선택연구)

  • Chang-bong Kim;Dong-jun Lee
    • Korea Trade Review
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    • v.48 no.4
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    • pp.303-320
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    • 2023
  • Recently, import and export companies have been using T/T remittance and Surrender B/L more frequently than L/C when selecting the process and method of trade payment settlement. The new trade and logistics environment is thriving in the era of the Fourth Industrial Revolution (4IR). Document-based trade transactions are undergoing a digitalization as bills of lading or smart contracts are being developed. The purpose of this study is to verify whether exporters choose export payment types based on negotiating factors. In addition, we would like to discuss the application of the characteristics of the new trade and logistics environment. Data for analysis was collected through surveys. The collection method consisted of direct visits to the company, e-mail, fax, and online surveys. The survey distribution period is from February 1, 2023, to April 30, 2023. The questionnaire was distributed in 2,000 copies, and 447 copies were collected. The final 336 copies were used for analysis, excluding 111 copies that were deemed inappropriate for the purpose of this study. The results of the study are shown below. First, among the negotiating factors, the product differentiation of exporters did not significantly affect the selection of export payment types. Second, among the negotiating factors, the greater the purchasing advantage recognized by exporters, the higher the possibility of using the post-transfer method. In addition to analyzing the results, this study suggests that exporters should consider adopting new payment methods, such as blockchain technology-based bills of lading and trade finance platforms, to adapt to the characteristics of the evolving trade and logistics environment. Therefore, exporters should continue to show interest in initiatives aimed at digitizing trade documents as a response to the challenges posed by bills of lading. In future studies, it is necessary to address the lack of social awareness in Korea by conducting advanced research abroad.