• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.43
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• pp.117-142
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• 2009

The purpose of this paper is to examine the basic principles for the examination of documents in terms of the basic duty to examine the documents, the time allowed to the banks to examine the documents, linkage among the documents, the originality of documents and their issuers, and the rejection formula of documents. Further this author would look at the changes of particular transport document including bill of lading, charter-party bill of lading and so on. From the seller's perspective, the changes of the principles and individual documents under UCP600 are the most important in the sense that they affect the criteria against which the payment is made. The major changes include the omission of the phrase "with reasonable care", in terms of the basic examination principles, substitute the phrase "five banking days following the day of presentation" for the phrase "reasonable time, not to exceed seven banking days following the days of receipt of documents", introduce the new wording about the linkage between the documents tendered, and make clear the meaning of the originality of documents as well as the rejection formula. For transport documents, even though dealing with bill of lading, charter-party bill of lading, transport document covering at least two different modes of transport, freight-forwarder bill of lading and freight collect transport documents, this paper focuses on the "transhipment" of bill of lading and the definition of charter-party bill of lading. Thus, UCP has been changed several times to reflect the new banking customs and practice. It, however, would not answer every questions which users and banks will raise. These questions may be best answered in the particular underlying contract. The UCP are necessary but not a sufficient instrument for the smooth operation of an international trade transaction. The rules are now out: it remains to be seen what the players do with it.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.65-82
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• 2015

Recently, there has been a surge of interest in finding core issues and analyzing emerging trends for the future. This represents efforts to devise national strategies and policies based on the selection of promising areas that can create economic and social added value. The existing studies, including those dedicated to the discovery of future promising fields, have mostly been dependent on qualitative research methods such as literature review and expert judgement. Deriving results from large amounts of information under this approach is both costly and time consuming. Efforts have been made to make up for the weaknesses of the conventional qualitative analysis approach designed to select key promising areas through discovery of future core issues and emerging trend analysis in various areas of academic research. There needs to be a paradigm shift in toward implementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The change is to ensure objective and practical emerging trend analysis results based on large amounts of data. However, even such studies have had shortcoming related to their dependence on simple keywords for analysis, which makes it difficult to derive meaning from data. Besides, no study has been carried out so far to develop core issues and analyze emerging trends in special domains like the aviation industry. The change used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and emerging trends from overall research papers pertaining to aviation through text mining, which is one of the big data analysis techniques. In this manner, the promising future areas for the air transport industry are selected based on objective data from aviation-related research papers. In order to compensate for the difficulties in grasping the meaning of single words in emerging trend analysis at keyword levels, this study will adopt topic analysis, which is a technique used to find out general themes latent in text document sets. The analysis will lead to the extraction of topics, which represent keyword sets, thereby discovering core issues and conducting emerging trend analysis. Based on the issues, it identified aviation-related research trends and selected the promising areas for the future. Research on core issue retrieval and emerging trend analysis for the aviation industry based on big data analysis is still in its incipient stages. So, the analysis targets for this study are restricted to data from aviation-related research papers. However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and presenting directions regarding the areas with good prospects for the future. In the future, the scope is slated to expand to cover relevant domestic or international news articles and bidding information as well, thus increasing the reliability of analysis results. On the basis of the topic analysis results, core issues for the aviation industry will be determined. Then, emerging trend analysis for the issues will be implemented by year in order to identify the changes they undergo in time series. Through these procedures, this study aims to prepare a system for developing key promising areas for the future aviation industry as well as for ensuring rapid response. Additionally, the promising areas selected based on the aforementioned results and the analysis of pertinent policy research reports will be compared with the areas in which the actual government investments are made. The results from this comparative analysis are expected to make useful reference materials for future policy development and budget establishment.