• Journal of Korea Trade
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• v.24 no.8
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• pp.171-188
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• 2020

Purpose - This is an exploratory study that aims to apply text mining techniques, which computationally extracts words from the large-scale text data, to legal documents to quantify trade claim contents and enables statistical analysis. Design/methodology - This is designed to verify the validity of the application of text mining techniques as a quantitative methodology for trade claim studies, that have relied mainly on a qualitative approach. The subjects are 81 cases of arbitration and court judgments from China published on the website of the UNCITRAL where the CISG was applied. Validation is performed by comparing the manually analyzed result with the automatically analyzed result. The manual analysis result is the cluster analysis wherein the researcher reads and codes the case. The automatic analysis result is an analysis applying text mining techniques to the result of the cluster analysis. Topic modeling and semantic network analysis are applied for the statistical approach. Findings - Results show that the results of cluster analysis and text mining results are consistent with each other and the internal validity is confirmed. And the degree centrality of words that play a key role in the topic is high as the between centrality of words that are useful for grasping the topic and the eigenvector centrality of the important words in the topic is high. This indicates that text mining techniques can be applied to research on content analysis of trade claims for statistical analysis. Originality/value - Firstly, the validity of the text mining technique in the study of trade claim cases is confirmed. Prior studies on trade claims have relied on traditional approach. Secondly, this study has an originality in that it is an attempt to quantitatively study the trade claim cases, whereas prior trade claim cases were mainly studied via qualitative methods. Lastly, this study shows that the use of the text mining can lower the barrier for acquiring information from a large amount of digitalized text.

• Journal of applied mathematics & informatics
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• v.32 no.3_4
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• pp.343-357
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• 2014

In many non-life insurance applications past data are given in a form known as the run-off triangle. Smoothing such data using parametric crisp regression models has long served as the basis of estimating future claim amounts and the reserves set aside to protect the insurer from future losses. In this article a fuzzy counterpart of the Hoerl curve, a well-known claim reserving regression model, is proposed to analyze the past claim data and to determine the reserves. The fuzzy Hoerl curve is more flexible and general than the one considered in the previous fuzzy literature in that it includes a categorical variable with multiple explanatory variables, which requires the development of the fuzzy analysis of covariance, or fuzzy ANCOVA. Using an actual insurance run-off claim data we show that the suggested fuzzy Hoerl curve based on the fuzzy ANCOVA gives reasonable claim reserves without stringent assumptions needed for the traditional regression approach in claim reserving.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.129-130
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• 2012

Although the order of Design-Build is being expanded by increasing construction scale and demanding hybrid function, the suitable regulation of the contracts is not settled. Design-Build is way by government because there are big construction of much government leading in contract relation high position occupy. So, case that prebendary's claim institution develops by litigation is very rare. But, recently Design-Build is magnified. So, these dispute factors is becoming visualization gradually. The contract system is needed to be consistent by international standard to deal with the problem. This study suggests the useful solutions in detail concerned with the main factor of change order claim by each Design-Build phases through practical sorting and analysis of the causes of Change Order-Claim.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.60-61
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• 2015

In recent years, the accidents in construction projects are continuously increasing due to their complexity and variety. However, few studies have been conducted regarding the risk prediction model and the database of risk assessment in construction projects. To address of these issues, the objective of this study is to analyze the accident causes by using insured claim payouts of insurance companies. First, the descriptive analysis of accidents causes is conducted according to scheduling rate, season, and total construction costs. Second, the correlation analysis is conducted between accidents causes and total construction costs. In the future, the risk assessment model can be developed to quantify the accident causes in construction projects to estimate claim payouts of insurance companies.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.13-22
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• 2011

Many studies on cause and prevention of claim have been carried out but they were mostly intended to come up with the improvement measures, improvement system or the measures to deal with the claim, which consequently lacked the substantial ways to identify the details of claim for prevention purpose. That is, there's in fact no tool, in preparation for potential claims, to identify and review the major potential causes at design stage to mitigate the claim and thus, it's necessary to develop the tool such as checklist needed to prepare the claim-supporting documents, check the relevant laws as well as to identify the cause of claim. Hence the study, given the fact that cause of claim is mostly generated at the design stage though the claim itself tends to occur at the construction stage, was aimed at developing the checklist based on contract document such as design documents at design stage for public construction projects in a bid to prevent the potential claim occurred at the design stage.

• Journal of Korea Trade
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• v.23 no.6
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• pp.14-32
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• 2019

Purpose - This study is designed to provide new insights on trade claim management by typifying trade claims from a relational perspective, which defines trade as an organic combination that exchanges relationships based on a mutual goal instead of conflicts between obligations and rights of the contracting parties. Design/methodology - This is a phenomenological study that aims to typify trade claims based on a relational perspective and extract implications for trade claim management. The research procedures of this study are as follows. First, international commercial dispute cases applying the CISG are collected. Second, the cases collected are quantified through content analysis. The variables for quantification are developed based on a relationship perspective. Third, cluster analysis is conducted on coded data to typify cases. And finally, this study compares the characteristics of each type using analysis of variance and suggests implications for the strategic management of trade claims from a relational perspective. Findings - Results show that trade claims are divided into four clusters, depending on whether flexibility is accepted or not and which party violates mutuality. There is also a difference between the claimant and the cause of the claim, according to the cluster. Based on the results, this study suggests that the buyer and the seller should employ different strategies depending on the type of trade claim and presents proposals for strategic claim management. Originality/value - Firstly, this study extends the theoretical discussion on trade claims by applying relational contract theory. Prior studies on trade claims have been primarily based on traditional contract theory. The second is to analyze trade claims quantitatively. Prior case studies on trade claims have mainly relied on qualitative research. Finally, the study contributes to international commercial practice by typifying trade claims and presenting options for strategic management.

• Korean Journal of Radiology
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• v.24 no.12
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• pp.1179-1189
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• 2023

Objective: We aimed to evaluate the reporting quality of research articles that applied deep learning to medical imaging. Using the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) guidelines and a journal with prominence in Asia as a sample, we intended to provide an insight into reporting quality in the Asian region and establish a journal-specific audit. Materials and Methods: A total of 38 articles published in the Korean Journal of Radiology between June 2018 and January 2023 were analyzed. The analysis included calculating the percentage of studies that adhered to each CLAIM item and identifying items that were met by ≤ 50% of the studies. The article review was initially conducted independently by two reviewers, and the consensus results were used for the final analysis. We also compared adherence rates to CLAIM before and after December 2020. Results: Of the 42 items in the CLAIM guidelines, 12 items (29%) were satisfied by ≤ 50% of the included articles. None of the studies reported handling missing data (item #13). Only one study respectively presented the use of de-identification methods (#12), intended sample size (#19), robustness or sensitivity analysis (#30), and full study protocol (#41). Of the studies, 35% reported the selection of data subsets (#10), 40% reported registration information (#40), and 50% measured inter and intrarater variability (#18). No significant changes were observed in the rates of adherence to these 12 items before and after December 2020. Conclusion: The reporting quality of artificial intelligence studies according to CLAIM guidelines, in our study sample, showed room for improvement. We recommend that the authors and reviewers have a solid understanding of the relevant reporting guidelines and ensure that the essential elements are adequately reported when writing and reviewing the manuscripts for publication.

• Korea Journal of Hospital Management
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• v.9 no.3
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• pp.71-97
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• 2004

This study conducted a comparative analysis of awareness level of review standards, continuing education, and awareness about the need for speciality and educational courses in order to improve quality of Korean health insurance review work and to present directions for policies of personnel development and continuing education to smoothly perform hospital's insurance claim work and Agency's review work. The analysis unit of the study is individuals, and survey was conducted among hospital's claim officers and Agency' review officers by distributing questionnaires. The major results of the study are as follows: First, it is found that hospital's claim officers and Agency's review officers have conflicting awareness about review standards; more Agency's review officers think that current review standards are universal and reasonable, while more hospital's claim officers believe that they need to be revised. Especially, hospital's claim officers replied that it is possible that review results can differ according to government's policies. Second, there is no significant difference between the two groups in the opinion that there are individual differences in awareness level of review standard. In particular, both groups share the opinion that review results can differ according to officer's interpretation of review standards. Third, Both review officer groups feel the need for further training and continuing education. Fourth, there is no difference between the two groups in the opinion that both groups members should be educated in review related educational institutions. However, while 81.5% of Agency's review officers the education should be offered at the Agency, only 45.2% of hospital's claim officers agreed to it. Fifth, both review personnel do not show any difference in awareness of needed experience to successfully perform review work; both groups replied that three to four years experience is necessary to smoothly perform claim work and review work. This study was tried in order to search for directions to improve Korean insurance review work in quality rather than to explore characteristics themselves of individual factors. In this sense, this study presupposed an intention that the educational subjects for further training and continuing education for the two groups should be the same in order to narrow the awareness gap between hospital's claim officers and Agency's review officers. Thus, this study suggests that it is desirable to offer beginner courses at junior colleges or in undergraduate courses and advanced courses in professional graduate school for six to twelve months. In that a comparison of awareness level of hospital's claim officers and Agency's review officers who are actually in practice should precede appropriate presentation of directions for the qualitative improvement of insurance review work in Korea, the significance of this study lies in comparatively analyzing the awareness level of hospital's claim officers and Agency's review officers and in presenting the establishment of future further training and continuing education.

• Korean Journal of Construction Engineering and Management
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• v.17 no.5
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• pp.35-44
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• 2016

Various risk factors are known to be the nature of construction project execution process. These factors lead to potential claims, dispute mediation, arbitration, and litigation which can result in huge loss of money and time. Therefore, it is necessary for construction companies in Korea to improve overall project management capability through the evaluation before entering into the overseas construction market. Also, after examination of the claim and dispute caused by construction project risks, a substantial degree of influence and active preparation for the claim and dispute management should be confirmed via the effect analysis of the each factors. Main claim causes were derived through claim and dispute cases involved with domestic construction projects. As a prediction result of the main claim, 16.1% of the construction change claim, 5.7% of the bad faith claim and 2.7% for the construction delay claim were found to be the portion of the total construction cost. As a result of this analysis, risk management methodology was suggested to improve a project management capability for domestic construction companies through analysis result of the main factors of construction claims.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.281-290
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• 2017

As various stakeholders are involved in construction projects, disputes between the parties are more likely to occur, which is a very important issue for the participants in the projects. Claims in construction projects, however, are very complex and thus difficult to manage. In particular, as the cause of a claim in the preceding stage that has not been resolved in a timely manner has an effect on the cause of a claim in the following stage, it is difficult to find a point of compromise regarding a claim caused by the relationship between the causes that occur in the preceding and following stages. In this regard, this study sought to examine the rules for the generation of change order claims, which occur most frequently among the construction claims, and thus to select the key management targets through the analysis of the relationship between the causes of claims arising in the preceding and following stages for the efficient management of claims. It is expected that the use of rules for the generation of change order claims as well as of representative and similar cases will help the construction practitioners in judging claims, considering the relationships among the causes of the claims. Meanwhile, in this study, association analysis was conducted regarding the causes of the occurrence of change order claims in a design-build delivery method, and therefore, it is necessary to verify the effectiveness of the method when applied to other delivery methods.