Companies do not be resolved by the FTA services of external aid should be operational by assigning dedicated personnel inside the company. FTA is a choice, not an essential trade agreement requirements. If the exporter contracts to provide a certificate of origin in trade agreements, it shall issue a certificate of origin of goods originating management is performed. When considering the future trend of spreading wide FTA, it should be extended to one year to take advantage of the FTA Certificate of Origin environments utilizing a comprehensive environment for regional countries that require proof of origin between certain countries, such as current. FTA utilization of the future is to utilize the GVC(Global Value Chain) efficiently. In other words, the expansion of the consumer market and take advantage of an efficient production base across borders. These environmental changes are needed development of the FTA utilization promotion and FTA experts. The experts studying how to procure raw materials or intermediate goods exports in a variety of regional foreign countries, to meet the rules of origin is required for a successful FTA utilization. One of the objectives of Origin managers are qualified experts in the country of origin can take advantage of the FTA plan. Therefore, managers of origin shall collect their ability to expand the understanding and information about the industry as an international business perspective beyond the Certificate of Origin. In addition, it should be in their best learning expertise for the introduction and development of country of origin control system in an effort to effectively perform its international FTA utilization. Once the FTA is more widespread in the future and build a common origin information it must not be disconnected until the export enterprises from terminal manufacturers systematically. Therefore origin management is preferred by expanding the knowledge base of teaching and learning in the common sense to the universal subject of specialization from professional schools to promote the relevant departments so that they can be opened in a college or university. An FTA hub linking East and West, also need the confidence that in order to become a center of Glabal Supply Chain Using an FTA Certificate of Origin and stable environment for importers to import products from the country offers. Certificate of Origin and all of them thoroughly exporters and companies related to the administration of origin and should create an atmosphere that can effectively respond to the origin verification. Korea shall endeavor to elicit a geopolitical value (FTA Hub), as well as securing a competitive advantage in the global industry leverage, trading at a reasonable price competitive products thereby enhancing production and economic growth through the FTA.
After the terrorist attack of 9/11 on the USA, the security concern to global trade has been raised. In particular, the USA has actively promoted a series of initiatives and rules such as CSI, 24 hour rule, C-TPAT, and so on in the area of logistics activities, which aimed to better protect the country against the potential terrorist threats. While implementing such schemes called as a multi-layed logistics security strategy, a large number of countries trading with USA are facing with the issues of additional time and costs for inspecting cargos in their logistics facilities. As a result, most countries all over the world have sought a way to minimize the impacts from such strategy. The Korea also is preparing the several security programs operated by various ministries, which are aiming to not only improve the efficiency of trade flows but also to ensure supply chain security. However, many companies are expressing the inefficiency of operating such programs. Thus, this paper analyzed several global supply chain security programs currently adopted by international organizations(ISO, WCO, and IMO) and major countries(USA, EU, and Singapore) and suggested a guideline for developing the national logistics security system.
GL(Girls' Love), which deals with romance between women, is considered a small, minor culture in the sub-culture market. Nevertheless, recent 'reboot feminism' in the voice of women in the epic that appears to be the central protagonist is increased, and interest in naturally glIncreasing. It encourages those who declare "post BL" to consume GLs featuring female characters instead of male characters. In an atmosphere where female creators consume female dictionaries who write women's stories and argue that they should expand the scope of their female counterparts, "Her Simcheong," a webtoon that won the 2018 Our Comics Award, explores the possibility of female epic through rewriting myths. Gender norms given to women, such as filial piety and nirvana, all get new names in . A good daughter is a liar, and a good wife has a woman she loves. Besides Simcheong, hit-and-run mothers, Jang Seung-sang's wife and Jang Seung-sang's daughter-in-law also focus on female characters' stories, highlighting solidarity among women to survive in a male-dominated society. In this process, solidarity among women naturally leads to GL imagination. Her Simcheong describes direct sexual contact, such as kissing and hugging among women, as beautiful illustrations, and shows romance between women in a manless world. While solidarity among women is always regarded as 'undangerous' friendship or girlish sensibility, the romance between women in breaks the cultural rules of women's growth novel and women's trade. This reveals the inconsistency of the conspiratorial male solidarity, which has been trading women around hegemony.
Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.
Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.
Kim, Yong-Man;Kim, Seog-Yong;Lee, Jong-Hwan;Shim, Gyu-Yeol
Journal of Global Scholars of Marketing Science
/
v.17
no.4
/
pp.113-139
/
2007
This study aims to, looking from a standpoint of network, has investigated the shipping industry's B2B e-marketplace, the characteristics that can earn electronic trust from the users, and characteristics of the web-site. It has examined the mechanism whereby electronic trust be earned and how it affects web-site involvement and service transaction intention. Ultimately, The study attempts to make proposals whereby such trust can lead for a cooperative trading community in the shipping industry's B2B e-marketplace The Covalence structural equation modeling was designed and empirically tested for the shipping industry's B2B e-marketplace. The shipping industry employees were given questionnaires and data were analyzed. Except for perceived security of the three characteristic factors on the web-site, the perceived site quality and characteristics factors in operation only affected co-variables. Transaction Fairness was determined to be the most important factor among exogenous factors increasing electronic trust. With regards to transaction rules, if a transaction is beneficial only to one side, then no long term transaction will not take place. If the concerned parties properly recognize that transaction fairness is crucial to electronic transaction, then it will enormously contribute to successful operations of shipping e-marketplace. Also, Perceived efficiency in transaction also affects electronic trust. This reduces transaction costs and speeds up and simplifies the transaction process. It has reduced greater time and costs than existing off-line transaction, and would positively affect electronic trust. By making an open forum for participants to obtain information for transaction, they can gather useful information, and at the same time, the web-site operator can provide information, which, in turn, will increase electronic trust in electronic transaction. Furthermore, such formation of trust in electronic transaction influences shipping companies in such a way that they will want to continuously participate in the transaction, raising web-site involvement. The result of increased trust is that shipping companies in the future will do business with each other and form a foundation for continuous transactions amongst themselves. Consequently, the formation of trust in electronic transaction greatly influences web-site involvement and service transaction intention. The results of the study have again proved that in order to maintain continuous business relationship with the current clients, electronic trust in virtual space, which operates the shipping industry's B2B e-marketplace, is important for the interested parties.
The New York Convention(formally called "United Nations Convention on the Recognition and Enforcement of Foreign Arbitral Awards") done in New York on June 10, 1958 has been adhered to by more than 140 States at the time of this writing, including almost all important trading nations from the Capitalist and Socialist World as well as many developing countries. The Convention can be considered as the most important Convention in the field of arbitration and as the cornerstone of current international commercial arbitration. Korea has acceded to the New York Convention since 1973. When acceding to the Convention, Korea declared that it will apply the Convention to the recognition and enforcement of awards made only in the territory of another Contracting State on the basis of reciprocity. Also, Korea declared that it will apply the Convention only to differences arising out of legal relationships, whether contractual or not, which are considered as commercial under the national law of Korea. The provisions relating to the enforcement of arbitral awards falling under the New York Convention begin at Article III. The Article III contains the general obligation for the Contracting States to recognize Convention awards as binding and to enforce them in accordance with their rules of procedure. The Convention requires a minimum of conditions to be fulfilled by the party seeking enforcement. According to Article IV(1), that party has only to supply (1) the duly authenticated original award or a duly certified copy thereof, and (2) the original arbitration agreement or a duly certified copy thereof. In fulfilling these conditions, the party seeking enforcement produces prima facie evidence entitling it to obtain enforcement of the award. It is then up to the other party to prove that enforcement should not be granted on the basis of the grounds for refusal of enforcement enumerated in the subsequent Article V(1). Grounds for refusal of enforcement are stipulated in Article V is divided into two parts. Firstly, listed in the first Para. of Article V are the grounds for refusal of enforcement which are to be asserted and proven by the respondent. Secondly, listed in Para. 2 of Article V, are the grounds on which a court may refuse enforcement on its own motion. These grounds are non-arbitrability of the subject matter and violation of the public policy of the enforcement country. The three main features of the grounds for refusal of enforcement of an award under Article V, which are almost unanimously affirmed by the courts, are the following. Firstly, The grounds for refusal of enforcement mentioned in Article V are exhaustive. No other grounds can be invoked. Secondly, and this feature follows from the first one, the court before which enforcement of the award is sought may not review the merits of the award because a mistake in fact or law by the arbitrators is not included in the list of grounds for refusal of enforcement set forth in Article V. Thirdly, the party against whom enforcement is sought has the burden of proving the existence of one or more of the grounds for refusal of enforcement. The grounds for refusal of enforcement by a court on its own motion, listed in the second Para. of Article V, are non-arbitrability of the subject matter and public policy of the enforcement country. From the court decisions reported so far at home and abroad, it appears that courts accept a violation of public policy in extreme cases only, and frequently justify their decision by distinguishing between domestic and international public policy. The Dec. 31, 1999 amendment to the Arbitration Act of Korea admits the basis for enforcement of foreign arbitral awards rendered under the New York Convention. In Korea, a holder of a foreign arbitral award is obliged to request from the court a judgment ordering enforcement of the award.
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