• Title/Summary/Keyword: research trend services

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Bibliometric Services Types and Cases in Foreign Countries (해외 계량서지 서비스 유형 및 사례 분석 연구)

  • Lee, Jae Yun;Lee, Ji-Won;Kim, Soojung
    • Journal of the Korean Society for information Management
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    • v.37 no.4
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    • pp.225-253
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    • 2020
  • This study aims to investigate bibliometric services practices of foreign libraries by service types and suggest practical considerations for Korean libraries wishing to implement bibliometric services. Through the examination of previous research and library websites, nine types of bibliometric services were identified under two broad categories - education & consulting services and research evaluation & research trend services. According to the service types, a wide range of bibliometric services activities were analyzed and described. Recommendations from the study for service development include: building an institutional repository for scholarly output; developing subject guides and education programs at the initial phase of service and providing more advanced services such as consulting and analysis services at the later phase; identifying the potential service needs of researcher groups.

The Trend of Snapchat Development (스냅챗의 발전동향)

  • Kim, Do-Goan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.132-134
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    • 2017
  • Recently, the market of social media have increased real time streaming services such as message, photo, video clip feed, and the use of Instagram and Snapchat services has rapidly increased and the market have been competitive. In this point, this research is to review the development and trend of social media services.

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Catastrophic Health Expenditure Rate and Trend in 2021 and before (2021년 재난적 의료비 경험률 현황 및 추이)

  • Soo Young Kim;Sung Hoon Jeong;Eun-Cheol Park
    • Health Policy and Management
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    • v.33 no.3
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    • pp.363-369
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    • 2023
  • The term "catastrophic health expenditure" means assessing the extent to which medical costs cause financial hardship for households. The aim of this research is to analyze the percentage of households that faced severe financial strain due to medical expenses from 2006 to 2021. This was achieved by utilizing data obtained from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). A trend analysis was conducted to examine the percentage of households that experienced catastrophic healthcare expenses. The households that experienced the catastrophic health expenditure was 2.49% in 2021 using the NaSTaB data. The trend analysis yielded a statistically significant result, indicating a decreasing trend (annual percent change [APC], -4.79; p<0.0001) in the proportion of households facing catastrophic health expenditures. Also, the results of the 2019 KHP and the 2021 HIES showed 1.09% and 2.44% for the households that experienced catastrophic health expenditure. The trend was increased according to the KHP (APC, 0.55; p=0.0004) and the HIES (APC, 7.04; p<0.0001). As a result, this study proposes that sustained attention and further interventions are necessary to ease the economic pressure caused by catastrophic health expenses, particularly for low-income households.

A Review on the Change of Telecommunication Market in Perspective of Customer (소비자 관점의 통신시장 변화 고찰)

  • Hwang, Min-Woo;Jung, Sang-Ik
    • Journal of Information Technology Services
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    • v.7 no.1
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    • pp.45-62
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    • 2008
  • This review examines the rapid growth of qualitative and quantitative of telecommunication industry for past couple of years from customer's viewpoint. Most of the telecommunication products were positioned in the market by the businesses and government's support, but the entity of telecommunication products were never interpreted from the user's viewpoint. Even though, various kinds of telecommunication services have been actively discussed by businesses, government, and IT professionals, it has not been sufficiently discussed by the marketing academia where they need to focus a lot on customer's utility. For the purpose of providing an insight of the telecommunication service marketing strategy, this study looked over old and new directions of growth, failure and evolution of services by focusing on two main pillar of communication business, which is high-speed internet and mobile phone service. Additionally, the research explains and mentions the limit and trend of the telecommunication service marketing, and the future research task that needs to be solved.

Detecting Knowledge structures in Artificial Intelligence and Medical Healthcare with text mining

  • Hyun-A Lim;Pham Duong Thuy Vy;Jaewon Choi
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.817-837
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    • 2019
  • The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

Research Trend in 5G-TSN for Industrial IoT (Industrial IoT를 위한 5G-TSN 기술 동향)

  • Kim, K.S.;Kang, Y.H.;Kim, C.K.
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.43-56
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    • 2020
  • The 5G system standardization body has been developing standard functions to provide ultra-high speed, ultra-high reliability, ultra-low latency, and ultra-connected services. In 3GPP Rel-16, which was recently completed, this system has begun to develop ultra-high reliability and ultra-low latency communication functions to support the vertical industry. It is expected that the trend in the adoption of mobile communication by the vertical industry will continue with the introduction of 5G. In this paper, we present the industrial Internet-of-Things (IIoT) service scenarios and requirements for the adoption of 5G systems by the vertical industry and the related standardization trend at present. In particular, we introduce the 5G time-sensitive networking standard technology, a core technology for realizing 5G-based smart factories, for IIoT services.

An Analysis of the Differences of the Self-Service Research Issues and Trends before and after COVID-19 Pandemic: A Bibliometrics Approach by Using Citespace (셀프서비스 연구 이슈와 추세에 대한 코로나-팬데믹 발생 전후 차이 분석: Citespace를 이용한 계량서지학적 접근)

  • Wu, Haoxi;Joon, Koh
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.53-72
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    • 2022
  • As a trend of modern service industry, self-service has been widely concerned by all walks of life, but there is a lack of literature on systematic management of the overall research in this field. Recently, people's lifestyle has been forced to change due to the influence of COVID-19, while there have been some changes in the field of self-service research. Based on the Web of Science data source, this study takes the literature of self-service field before and after the outbreak of COVID-19 as the research object, and summarizes the development process, research status and future research trend of self-service field through the Citespace visualization tool. The research shows that firstly, academic circles continue to be enthusiastic about self-service field research, cooperation between countries is becoming more and more diversified. Secondly, the communication between researchers is becoming more and more intensive, and the cooperation between different disciplines gradually becomes the mainstream. Third, related research gradually shifted to the practical application of technology, the research perspective gradually shifted from the initial traditional retail perspective industries such as tourism services. Finally, the role of customer experience and participation behavior in self-service process is gradually emphasized.

Qualitative Validation of a U-City Services Typology Using Expert Heuristic (U-City 서비스 분류체계의 적합성에 관한 질적 휴리스틱 분석)

  • Lee, Jung-Woo;Kim, Ha-Hyun;Lee, Min-Jung
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.325-340
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    • 2012
  • KUbiquitous city(U-City) is a recent trend in urban planning and management across the globe. Currently, several typologies were developed and presented classifying U-City services, but validation research of these typologies are scarce. In this study, efforts were made to qualitatively validate the usability and practicality of a typology of u-city services. Using 228 U-City services identified in previous studies, classifying exercises were conducted against a typology. Three experts were involved in this expert heuristic exercise, against a most popularly used and comprehensive typology of U-City services. Findings indicates that the selected typology is high on comprehensive exhaustiveness, and empirical applicability while low on mutual exclusivity, simplicity and theoretical contribution. Implications for the typology improvement are suggested followed by limitations and directions for further research.

Unmet Healthcare Needs Status and Trend of Korea in 2018 (2018 미충족의료율과 추이)

  • Joo, Jae Hong;Kim, Hwi Jun;Jang, Jieun;Park, Eun-Cheol;Jang, Sung-In
    • Health Policy and Management
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    • v.30 no.1
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    • pp.120-125
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    • 2020
  • Unmet healthcare needs lead to increased disease severity, increased likelihood of complications, and worse disease prognosis. To examine the latest status of unmet healthcare needs in South Korea, the four different data configured with nationally representative sample of South Korean population were used: the Korea Health and Nutrition Examination Survey (KNAHANES, 2007-2018), the Community Health Survey (CHS, 2008-2018), the Korea Health Panel Survey (KHP, 2011-2016), and the Korean Welfare Panel Study (KOWEPS, 2006-2018). The proportion of individuals reporting unmet healthcare needs were 7.8% (KNHANES, 2018), 8.8% (CHS), and 10.8% (KHP, 2016). Annual percentage change which characterizes trend for the follow-up period was -9.1%, -3.2%, and -6.8%, respectively. The proportion of individuals reporting unmet healthcare needs due to cost were 1.2% (KNAHANES, 2018), 1.2% (CHS, 2018), 2.5% (KHP, 2016), and 0.5% (KOWEPS, 2018). Annual percentage change which characterizes trend for the follow-up period was -10.3%, -12.0%, -11.3%, and -18.8, respectively. The low-income population and the elderly population were vulnerable groups reporting the highest rate of unmet health care needs. The rate of unmet healthcare needs has been declining since the past decade, still, the disparity between different income groups and age groups suggests that there are many challenges to address.

Research Trend Analysis by using Text-Mining Techniques on the Convergence Studies of AI and Healthcare Technologies (텍스트 마이닝 기법을 활용한 인공지능과 헬스케어 융·복합 분야 연구동향 분석)

  • Yoon, Jee-Eun;Suh, Chang-Jin
    • Journal of Information Technology Services
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    • v.18 no.2
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    • pp.123-141
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    • 2019
  • The goal of this study is to review the major research trend on the convergence studies of AI and healthcare technologies. For the study, 15,260 English articles on AI and healthcare related topics were collected from Scopus for 55 years from 1963, and text mining techniques were conducted. As a result, seven key research topics were defined : "AI for Clinical Decision Support System (CDSS)", "AI for Medical Image", "Internet of Healthcare Things (IoHT)", "Big Data Analytics in Healthcare", "Medical Robotics", "Blockchain in Healthcare", and "Evidence Based Medicine (EBM)". The result of this study can be utilized to set up and develop the appropriate healthcare R&D strategies for the researchers and government. In this study, text mining techniques such as Text Analysis, Frequency Analysis, Topic Modeling on LDA (Latent Dirichlet Allocation), Word Cloud, and Ego Network Analysis were conducted.