• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.309-330
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• 2022

Intellectual structure analysis, which quantitatively identifies the structure, characteristics, and sub-domains of fields, has rapidly increased in recent years. Analysis techniques traditionally used to conduct intellectual structure analysis research include bibliographic coupling analysis, co-citation analysis, co-occurrence analysis, and author bibliographic coupling analysis. This study proposes a novel intellectual structure analysis method, Keyword Bibliographic Coupling Analysis (KBCA). The Keyword Bibliographic Coupling Analysis (KBCA) is a variation of the author bibliographic coupling analysis, which targets keywords instead of authors. It calculates the number of references shared by two keywords to the degree of coupling between the two keywords. A set of 1,366 articles in the field of 'Open Data' searched in the Web of Science were collected using the proposed KBCA technique. A total of 63 keywords that appeared more than 7 times, extracted from 1,366 article sets, were selected as core keywords in the open data field. The intellectual structure presented by the KBCA technique with 63 key keywords identified the main areas of open government and open science and 10 sub-areas. On the other hand, the intellectual structure network of co-occurrence word analysis was found to be insufficient in the overall structure and detailed domain structure. This result can be considered because the KBCA sufficiently measures the relationship between keywords using the degree of bibliographic coupling.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1171-1186
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• 2011

Identifying Emerging Technology Trends is crucial for decision makers of nations and organizations in order to use limited resources, such as time, money, etc., efficiently. Many researchers have proposed emerging trend detection systems based on a popularity analysis of the document, but this still needs to be improved. In this paper, an emerging trend detection classifier is proposed which uses both academic and industrial data, SCOPUS and PATSTAT. Unlike most pre-vious research, our emerging technology trend classifi-er utilizes supervised, semi-automatic, machine learning techniques to improve the precision of the results. In addition, the citation information from among the SCOPUS data is analyzed to identify the early signals of emerging technology trends.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.45-70
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• 2012

There have been many methods and algorithms proposed for multidimensional scaling to mapping the relationships between data objects into low dimensional space. But traditional techniques, such as PROXSCAL or ALSCAL, were found not effective for visualizing the proximities between objects and the structure of clusters of large data sets have more than 50 objects. The CLUSCAL(CLUster-oriented SCALing) technique introduced in this paper differs from them especially in that it uses cluster structure of input data set. The CLUSCAL procedure was tested and evaluated on two data sets, one is 50 authors co-citation data and the other is 85 words co-occurrence data. The results can be regarded as promising the usefulness of CLUSCAL method especially in identifying clusters on MDS maps.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.9-18
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• 2016

In the Heckman-Meyers model, which is frequently referred by IAA, Swiss Solvency Test, EU Solvency II, the assumption of parameter distribution is key factor. While in theory Bayesian analysis somewhat reflects parameter uncertainty using prior distribution, it is often the case where both Heckman-Meyers and Bayesian are necessary to better manage the parameter uncertainty. Therefore, this paper proposes the use of Bayesian H-M CRM, a combination of Heckman-Meyers model and Bayesian, and analyzes its efficiency.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.476-487
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• 2022

International research cooperation is emerging as one of the strategies for improving research performance. Therefore, in this study, through the analysis of research reports on the theme of international research cooperation, the subject and issues of international research cooperation were identified and the characteristics of these studies were confirmed. To this end, related report data were constructed, statistical data analysis and big data analysis of the data were performed. Considering the current international research cooperation network, it is necessary to conduct international research cooperation centered on developing countries while paying attention to the increase in China's proportion of international research cooperation. Second, it is necessary to emphasize the importance of international research cooperation in various countries, including developing countries, in that the interdependence of research between countries increases and the citation index of actual joint research is higher. Third, it can be seen that the subject field in which international research cooperation can be activated may vary depending on the type of support project. Therefore, it suggests that in order for international research cooperation on more diverse topics to be carried out, projects supporting them must also be diversified.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.1
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• pp.95-132
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• 1993

사람들은 누구나 시간과 장소를 구분하지 아니하고 의사결정을 내려야 할 상황에 처하게 된다. 특히 조종사의 경우에는 의사결정을 하여야 할 상황이 보다 시간적으로 제한되어 있고, 또 다른 어떤 경우보다 그 내용이 더 복잡하다는 특성을 가지고 있다. 특히 항공기 운항중 발생하는 조종사의 의사결정은 그 방법에 따라 결과는 아주 다른 양상으로 나타나게 되는데 합리적인 의사결정이 이루어졌다면 그 결과는 안전성과 경제성이 동시에 실현되지만 합리적으로 의사결정이 이루어지지 못하였다면 항공기 사고라는 최악의 사태로 이어지게 된다. 그러나 현실적으로는 조종사들이 사회, 문화적 특성과 개인적인 태도 및 성격에 따라 집단내 구성원들의 의사를 종합하여 의사결정을 얻지 못하고 경우에 따라서는 기장 개인의 능력에 따라 의사결정이 이루어지고 있는 실정이다. 이러한 점에 착안하여 본 연구에서는 조종사의 합리적인 의사결정에 영향을 미치는 요인들을 분야별로 내용을 분석하고 의사결정의 이론적 고찰을 통해 조종사의 합리적인 의사결정을 위한 방안을 제시하고자 하였다. 특히 조종사 자격 관리 및 능력개발 프로그램시 태도 변화를 위한 교육이 우선해야 한다는 것과 그리고 미국의 여러 기관에서 연구 수행한 결과를 인용하여 조종사의 태도분석방법을 소개함으로써 조종사 자신들이 직접 지니고 있는 위험한 태도 요소를 자각할 수 있도록 하였으며 이에 대한 행동상 지켜야 할 원칙을 제시하여 자신이 의사결정을 해야하는 경우 적용할 수 있도록 하였다. 앞으로 이와 관련하는 지속적인 연구를 함으로서 합리적인 의사결정을 위한 요인들의 상관관계를 분석하고 항공기 운항분야중에서 부분적이나마 정형적인 의사결정모델이 개발될 때 항공기 안전운항에 크게 기여할 것으로 기대된다.

• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.219-240
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• 2018

The study analyzed the characteristics of two library and information science journals indexed by Web of Science (WoS) and Scopus in 2015 along with two of their non-indexed sister journals. The study also analyzed the characteristics of a SCIE- and Scopus-indexed oceanographic journal published domestically along with its sister journal indexed by Scopus only. In addition, the study collected and analyzed the articles published during 2014 and 2015 in these 6 journals as well as the citations they received in 2016. By comparing the characteristics and publication data of indexed journals and their sister journals, the study aimed to identify the properties of WoS-indexed journals that may be helpful in enhancing international journal publication. The findings from the analysis of data can be summarized as follows: WoS-indexed journals publish more frequently, focus mainly on articles, are authored by researchers from many countries, and have higher quality papers that receive more citations than their non-WoS-indexed sister journals. The study also found higher rates of co-authored papers in WoS indexed journals, which were amplified in LIS journals. This is an important factor to consider for Korean LIS journals that are dominated by singe-author articles when they prepare to be indexed in WoS.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.43-57
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• 2022

In this paper, we propose a method of analyzing research papers published by researchers belonging to university departments in the field of disaster & safety for the scientometric analysis of the research status in the field of disaster safety. In order to conduct analysis research, the dataset constructed in previous studies was newly improved and utilized. In detail, for research papers of authors belonging to the disaster prevention and safety engineering type department of domestic universities, institution identification, cited journal identification of references, department type classification, disaster safety type classification, researcher major information, KSIC(Korean Standard Industrial Classification) mapping information was reflected in the experimental data. The proposed method has a difference from previous studies in the field of disaster & safety and data set based on related keyword searches. As a result of the analysis, the type and regional distribution of organizations belonging to the department of disaster prevention and safety engineering, the composition of co-authored department types, the researchers' majors, the status of disaster safety types and standard industry classification, the status of citations in academic journals, and major keywords were identified in detail. In addition, various co-occurrence networks were created and visualized for each analysis unit to identify key connections. The research results will be used to identify and recommend major organizations and information by disaster type for the establishment of an intelligent crisis warning system. In order to provide comprehensive and constant analysis information in the future, it is necessary to expand the analysis scope and automate the identification and classification process for data set construction.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.2
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• pp.1-24
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• 2013

The research about customer value has developed over the past years in the marketing field. On the other hand, the stream of the idea has not fully been structured yet. It is the purpose of this research to present the process of development together with the intellectual structure in the field of customer value researches using "Author Co-citation Analysis" (ACA). For the purpose of the research, authors chosen were ranked in order of frequency according to their citations which were used for network analysis. Further, it was of advantage in finding the development process for this research from 1996 to 2011. The trend were set into three time-line groups/trends (1996~2000, 2001~2005, and 2006~2011) that were respectively analyzed. In conclusion, the research represents the intellectual structure of customer value in each period. The research having been tried, influenced a variable field in other marketing researches. While still, many researches limit their focus on a "one-way customer value, used by companies in the past and some in the present, many researches now have a wider perspective about the value and relationship of their customer and their company, together with the society at large.

• Journal of Information Management
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• v.42 no.4
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• pp.1-21
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• 2011

The purpose of this study is to suggest a model for increasing international use of Korean scholarly journals. Recently DOI and open access are remarkable from the standpoint of increasing the opportunity of global exposition and citation of domestic scholarly journal papers. The data used in investigation and analysis were from KAMJE, KISTI, DOAJ and SCIMAGO. The model comprising DOI service and open access is obtained through analyzing DOI and open access utilization models and investigation on both.