• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1081-1090
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• 2018

The study has been derived through the empirical analysis so as to find the Continuous Usage of Electronic Official Document 24 System. Total of 236 questionnaires were analysis to users who used or experienced the Electronic Official Document 24 System. As a result of the analysis First Accuracy, Convenience, and Security have a positive(+) effect on Ease of Use. However, Compatibility and Innovation were not effect on Ease of Use Second, Accuracy, Convenience, Security, and Innovation have a positive(+) effect on Perceived Usefulness. However, Compatibility was not effect on Perceived Usefulness. Third, Behavioral Costs have a positive(+) effect Continuous Intention and perceived ease of use positively affects perceived usefulness and Continuous Intention. Finally, perceived usefulness also has a positive effect on the Continuous Intention.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.2
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• pp.118-130
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• 2020

Modern weapon systems are composed of complex systems(System of Systems) and require a complex and advanced operational concept that performs missions through interoperability with various weapon systems. In order to derive the operational concept of the weapon system that the military wants to acquire (i.e., single mission, component operation, Joint and Alliance operations), it is necessary to identify the system related to the weapon system, environmental factors and restrictions of the weapon system to be developed. Through the derivation of the operational concept, the weapon system acquisition agency can reasonably and accurately extract various and complex requirements. In this paper, we propose a complementary method of using MND-AF to OCD and ORD required in weapon system acquisition process. MND-AF can increase the understanding and consensus of business stakeholders (users, acquirers, developers, etc.) by showing the results of weapon system analysis from various perspectives. We compare the items in the standard form of OCD and ORD with the MND-AF outputs.

• Journal of Korea Trade
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• v.25 no.1
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• pp.203-219
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• 2021

Purpose - The purpose of this study is to review and analyzes the contract of carriage and delivery/transport document in light of the major changes made to the Incoterms^® 2020 rules forced into effect on January 1st, 2020. Design/methodology - This study analyzed responsibility for the loading and unloading of goods under the contract of carriage in Incoterms 2020^® rules forced into effect by the ICC from January 1, 2020, and what document must be presented as evidence of delivery by the seller. Findings - A review revealed that in Rule C, the costs of unloading at the place of destination are determined by the terms of the contract of carriage, and in the DAP and DDP rules, if the seller bears the unloading costs, such unloading costs cannot be recovered from the buyer. To settle this issue, the seller needs to make a contract of carriage by sea with the carrier on FI terms. Furthermore, in the case of containerized goods that the FCA should be used, FOB was misused because the seller could not present an on-board bill of lading in the L/C transaction. However, it was confirmed that in FCA, the parties can use an optional mechanism to issue an on-board bill of lading. Originality/value - Incoterms 2020^® rules are still widely used in international trade by parties to contract sales around the world, just like Incoterms 2010^® rules. This study attempts to reduce or eliminate disputes that may arise from interpretative misunderstandings between the parties in the contract of sales concluded by the seller and the buyer.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.323-328
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• 2020

This study aims to analyze the changes in purchasing decisions in conducting transactions using cash and digital payment systems. Cash payment systems are very different from digital payments because they no longer use banks as intermediaries for transactions. The scope of this study is to determine the differences that take place with purchasing decisions using digital payment systems with OVO Indonesia smart applications. By using the paired T-test sample test method and testing the regression class assumptions, it is expected we will document the comparison between cash and digital payment systems as regards changes in consumers' buying interest behavior towards goods. Data is obtained by purposive sampling using special characteristics for smart application users. The results show that digital payments are developing very quickly, but cash payments still dominate due to the unavailability of complete facilities and infrastructure to support digital payment systems other than in cities. This study illustrates that digital payments have not been able to completely change consumer buying behavior in large numbers, but the main finding in this study is an increase in the percentage of digital payment usage to the online market, due to the many conveniences provided in OVO smart applications.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.201-220
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• 2019

Fake news has emerged as a significant issue over the last few years, igniting discussions and research on how to solve this problem. In particular, studies on automated fact-checking and fake news detection using artificial intelligence and text analysis techniques have drawn attention. Fake news detection research entails a form of document classification; thus, document classification techniques have been widely used in this type of research. However, document summarization techniques have been inconspicuous in this field. At the same time, automatic news summarization services have become popular, and a recent study found that the use of news summarized through abstractive summarization has strengthened the predictive performance of fake news detection models. Therefore, the need to study the integration of document summarization technology in the domestic news data environment has become evident. In order to examine the effect of extractive summarization on the fake news detection model, we first summarized news articles through extractive summarization. Second, we created a summarized news-based detection model. Finally, we compared our model with the full-text-based detection model. The study found that BPN(Back Propagation Neural Network) and SVM(Support Vector Machine) did not exhibit a large difference in performance; however, for DT(Decision Tree), the full-text-based model demonstrated a somewhat better performance. In the case of LR(Logistic Regression), our model exhibited the superior performance. Nonetheless, the results did not show a statistically significant difference between our model and the full-text-based model. Therefore, when the summary is applied, at least the core information of the fake news is preserved, and the LR-based model can confirm the possibility of performance improvement. This study features an experimental application of extractive summarization in fake news detection research by employing various machine-learning algorithms. The study's limitations are, essentially, the relatively small amount of data and the lack of comparison between various summarization technologies. Therefore, an in-depth analysis that applies various analytical techniques to a larger data volume would be helpful in the future.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.107-123
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• 2014

Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as 'bag-of-words' based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the 'concept' as an independent space equated with the 'term' and 'document' spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

• The Journal of Fisheries Business Administration
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• v.47 no.3
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• pp.93-110
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• 2016

Most of the changes that make paradigm shift have been involved international level problems related to environment, resource and structure problems in these days. Resolving those common issues the United Nations Food and Agriculture Organization(UN FAO) has played most important role in fisheries with publishing the series of the technical guidelines for responsible fisheries papers. The guidelines for responsible fisheries have introduced for applying the concept of sustainable development with considering overall changes in fisheries domains. And also have objectives that establishing the discipline of fisheries worlds. Although these papers are remarkable, there is still few research or education contents of them in Korea. Fisheries business administration is a kind of social science that influenced by environmental, social changes so called paradigm shift. So one of the most important thing that has the education of sustainable development is accommodation or adaptation of them with grasping the phenomenon continuously. The aims of this study are exploring the FAO's the technical guidelines for responsible fisheries documents and contents of college's fisheries business administration and finding out the overall systematic topics and themes of fisheries business administration education. The result of this study shows that the contents of fisheries business administration did not including the concept of responsible fisheries even were out of date in using statistical data. And there is some missing issues that including fisheries policy, resource management, and related law should be enhanced. This study suggests the framework of fisheries business administration with comparing analysis on FAO's document and college's course of study in Korea. The proposed framework of major topics of fisheries business administration that still needed to be improved should be a milestone of understanding and debating the core factors of fisheries business administration education and research.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.471-492
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• 2017

The demand and interest in big data analytics are increasing rapidly. The concepts around big data include not only existing structured data, but also various kinds of unstructured data such as text, images, videos, and logs. Among the various types of unstructured data, text data have gained particular attention because it is the most representative method to describe and deliver information. Text analysis is generally performed in the following order: document collection, parsing and filtering, structuring, frequency analysis, and similarity analysis. The results of the analysis can be displayed through word cloud, word network, topic modeling, document classification, and semantic analysis. Notably, there is an increasing demand to identify trending topics from the rapidly increasing text data generated through various social media. Thus, research on and applications of topic modeling have been actively carried out in various fields since topic modeling is able to extract the core topics from a huge amount of unstructured text documents and provide the document groups for each different topic. In this paper, we review the major techniques and research trends of text analysis. Further, we also introduce some cases of applications that solve the problems in various fields by using topic modeling.

• The Korean Journal of Archival Studies
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• no.18
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• pp.91-138
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• 2008

A fast foot of information communication technology is appearing as expansion of prompt administrative service desire and national participation desire regarding administration. This is following again by government innovation and demand of customer-oriented governmental implementation with information technology. The Ministries of Education and Human Resources Development proceeded with National Education Information System(NEIS) for the aim of educational informatization at a highest global level. NEIS that was operated from 2003 established a system in Educational Offices in 16 cities/province and the Ministry of Education and Human Resources Development, and connected all educational administration organizations and primary and middle schools with Internet. Thus, NEIS processes electronically the general administration affairs in educational administration organizations each unit school. The NEIS school affairs business system that is newly enforced is producing an important documentation (of semi-permanent level) such as personal information and grade of students including School Human Document with electronic methods. However, we need to guarantee authenticity, integrity, reliability and usability of documentation because school affairs business system is producing important documentation under poor circumstances. According to this necessity, school affairs business system analyzed how many a record management function includes by the ISO 15489 that was an international record managerial standard. On the basis of these analyses, I will present a plan for management of a school documentation in this study. These researches are meaningful in electronically analyzing a record management function of the National Education Information System(NEIS) and in documentarily approaching management plan. I expect theses researches to be able to used as useful data for documental management plan preparations regarding a productive documentation of all kinds of business systems using in public institutions as well as National Education Information System(NEIS).

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.45
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• pp.85-109
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• 2010

L/C provides the exporter and the importer with safe assurance in the exchange of goods for payment in international trade. It involves a number of parties. Although the parties may have confidence in their client, bad faith or ignorance of international banking practice by any of these parties could cause the failure of transaction, which makes international trade a risky business. Most of the risks are found in transport document, which can cause disputes. There are many factors in the risk of transport documents under L/C transaction. One most common risk factor for the beneficiary in all transport documents is even if there is no discrepancy in document, the issuing bank or the applicant refuses to pay or delay payment insisting there is a discrepancy. In some very rare cases, the beneficiary may not get paid due to unfair injunction of the local court of the applicant. For the applicant, most common risk factors are fake bill and fraud. Risks classified according to the sorts of transport documents are as follows. 1. In B/L, payment can be refused because it is regarded as charter party B/L, although there is no real charter party contract. And the applicant can bear the potential risk of the loss or deterioration of cargo through transhipment of the cargo loaded on board in container if transhipment is prohibited without excluding of UCP 600 article 20 (c). 2. In charter party B/L, the applicant may take delivery without paying when charter party B/L is signed by charterer, which can result in a big loss for the beneficiary and the negotiating bank. And risks may arise when cargo is seized because the charterer does not pay the hire. The applicant and the issuing bank are also vulnerable to a risk - Against whom should they file a suit when cargo gets damaged during transportation? 3. In multimodal transport document, which is subject to a conflict because there is a big difference in viewpoints between transport industry and banks, conflicts may also arise when L/C requires ocean B/L and accepts multimodal transport document at the same time, but does not specify the details. 4. In air waybill, where the consignee is not the issuing bank but the applicant, risks may take place to the beneficiary when the applicant takes delivery but refuses to pay asserting minor discrepancies in document. The applicant may also bear the risk when cargo may not be loaded because air waybill is a received bill. Another risk may arise when although the applicant prohibits transhipment without excluding UCP 600 article 23 (c), the cargo may be transhipped, provided that the entire carriage is covered by one and the same air waybill.