• Safety and Health at Work
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• v.5 no.3
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• pp.165-167
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• 2014

The Dutch construction industry has introduced a compulsory preemployment medical examination (PE-ME). Best-evidence contents related to specific job demands are, however, lacking and need to be gathered. After the identification of job demands and health problems in the construction industry (systematic literature search and expert meeting), specific job demands and related requirements were defined and instruments proposed. Finally, a work ability assessment was linked to the instruments' outcomes, resulting in the modular character of the developed PE-ME. Twenty-two specific job demands for all Dutch construction jobs were identified, including kneeling/squatting, working under time pressure, and exposure to hazardous substances. The next step was proposing self-report questions, screening questionnaires, clinical tests, and/or performance-based tests, leading to a work ability judgment. "Lifting/carrying" is described as an example. The new modular PE-ME enables a job-specific assessment of work ability to be made for more than 100 jobs in the Dutch construction industry.

• Journal of Korean Library and Information Science Society
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• v.51 no.1
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• pp.115-143
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• 2020

With the era of the 4th Industrial Revolution, the number of data-centric integrated researches increases. The integrated researches make information identification and linkage more important, so it is necessary to seek a method to efficiently manage and share academic-information for supporting the researches. Therefore, this study aims to analyze identification system and linkable information types of 12 major academic search engines and bibliographic databases(ASEBDs) in Korea and abroad and to propose a method to identify and link academic-information. The analysis was conducted 2 times, and academic-information types, searchable fields, linkable information types, used identification system were investigated. As a result, the ASEBDs link directly or/and indirectly 3~4 information types based on their own identifiers with persistent identifiers. In addition, they identify academic-information semi-automatically based on machine learning methodology and collect and manage the related data. Finally, the method for academic-information linkage was proposed in terms of practice and society: linkage based on persistent identifiers and linkage based on collaborative network of institutions.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.263-278
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• 2011

This study analyzed the level of 326 academic librarians awareness, usability and counter strategies on the Library 3.0. The results revealed the awareness level in the following order: that (1) Mobile Library (2) Semantic Search (3) AI(Artificial Intelligent) (4) Cloud Computing (5) Ontology (6) Linked Data. The order of the future usability for the Library 3.0 was ranked (1) Mobile Library (2) Linked Data (3) Semantic Search (4) Cloud Computing (5) AI and (6) Ontology. To conclude, the level of awareness and the usability of Library 3.0 were shown to be statistically significant. There are, however, some discrepancies in awareness differ across librarians and regions. Moreover, the level of awareness for the Library 3.0 did influence the library's organizational performance but the individual librarian's competences only.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.265-294
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• 2018

Nowadays, due to an explosive increase in information, information filtering is very important to provide proper information for users. Users hardly obtain scholarly information from a huge amount of information in NDSL of KISTI, except for simple search. In this paper, we propose the service, PIN to solve this problem. Pin provides the word cloud including analyzed users' and others' interesting, co-occurence, and searched keywords, rather than the existing word cloud simply consisting of all keywords and so offers user-customized papers, reports, patents, and trends. In addition, PIN gives the paper classification in NDSL according to keyword matching based classification with the overlapping classification enabled-academic classification system for better search and access to solve this problem. In this paper, Keywords are extracted according to the classification from papers published in Korean journals in 2016 to design classification model and we verify this model.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.1-22
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• 2016

While many organizations believe that cloud computing has the potential to reduce operational cost by abstracting capital assets like data storage center and processing systems into a readily on demand available and affordable operating expenses, still many of these organizations are not aware of the factors determining the performance of cloud computing technology. This paper provides a systematic literature review focusing on the factors determining the performance of cloud computing. In trying to come up with this review, the following sources were searched for relevant articles: ScienceDirect, Scientific.Net, ACMDigital Library, IEEE Xplore, Springer, World Scientific Journal, Wiley Online Library, Academic Search Premier (via EBSCOHost) and EdITLib (Education & Information Technology Digital Library). In first search strategy, approximately 100 keywords related to the research domain like; "Cloud Computing" and "Cloud Services" were used. In second search strategy, 65 keywords more related to the research domain were selected. In the third search strategy, the primary materials were identified and classified according to the paper types (Journal or Conference), year of publication and so on. Based on this study, twenty (20) factors were found that determine the performance of cloud computing. The IT organization needs to consider these twenty (20) factors in order to adopt cloud computing.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.49-77
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• 2012

The purpose of this study is to investigate the values and meanings of university libraries and library catalog in the learning activities of Korean college students. Discussed in details are unique features in their library use behavior and catalog search behavior, and critical factors influencing their behavioral characteristics. A qualitative approach was employed for data collection and analysis. Intensive interviews were conducted with 30 students, also utilized was tight and close observation of their library search behavior. The result of this study is on identifying the underlying reasons why Korean students use their libraries and catalogs in a passive and limited manner.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.863-872
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• 2014

This study was conducted to identify the relation between sense of coherence and academic stress in nursing students. Data were collected from 248 nursing students using self-report questionnaire. Data were analyzed by SPSS WIN18.0. There was a significant correlation between sense of coherence and academic stress. Major satisfaction, friends relationship and comprehensibility as a subcategory of sense of coherence accounted for 31.3% of the variance in academic stress. In conclusion, these results indicate that we should search strategies for improvement of teaching method to heighten the major satisfaction, enforcement of sense of coherence, and development of counseling program to reduce academic stress among nursing students.

• Journal of Korean Library and Information Science Society
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• v.55 no.3
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• pp.167-192
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• 2024

Gamification is an effective strategy to enhance the quality of academic library services by encouraging student engagement and participation. This study developed a design framework for the effective implementation of gamification in academic libraries. To this end, a framework based on the information literacy model was developed through a literature review, content analysis of Korean and international case studies, and in-depth interviews with five librarians of academic libraries. The framework outlines the design elements and game mechanisms to be considered at each stage of the process, including task definition, information search, collection, utilization, and integration. Additionally, performance indicators were established to measure the cognitive, emotional, and social impacts of gamification. This study is expected to serve as a foundation for the systematic implementation and evaluation of gamification in academic libraries, ultimately contributing to increased user participation and enhanced learning motivation.

• 한국노년학
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• v.38 no.3
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• pp.783-799
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• 2018

The purpose of this study is to examine the major academic activities of the Korean Gerontological Society (KGS) during the last 40 years in comparison to changes in elderly policies in Korea and also academic trends in gerontology worldwide and the academic activities of the International Association of Gerontology and Geriatrics (IAGG); based on this analysis, this study aims to propose future directions for the academic progress of the KGS. We examined the major academic activities of the KGS by analyzing the contents of biannual conferences, international conferences, and irregular seminars and policy meetings, using conference booklets, KGS websites, and literature on KGS history. Second, we analyzed the academic activities of the KGS in comparison to changes in elderly policies in Korea, using databases of major newspapers and also the BigKinds search offered by the Korea Press Foundation. Third, the academic activities of the KGS were reviewed in comparison to those of the IAGG and the major aging policy agendas of key international organizations. The study results demonstrate that the KGS has been proactive in conducting diverse multi-disciplinary and international academic activities while promptly responding to both domestic and international changes in elderly policies. But some issues were not properly addressed due to the lack of diversity in its members, and it also should be noted that some issues were not discussed in depth for a sufficient length of time. Henceforth, as the leading academic organization in gerontology with a multi-disciplinary orientation in Korea, the KGS should continue to lead the development and evaluation of aging policies and also actively carry out diverse academic activities in collaboration with international academic societies and organizations.