• Journal of Korean Society of Forest Science
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• v.99 no.4
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• pp.517-527
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• 2010

The purpose of this study was to investigate the causal relationship among perceived value, satisfaction and revisit intention for visitors of the Korea National Arboretum. Three hundred respondents were selected by quota sampling, and well-known measurement scales utilized in marketing field were adopted in order to measure three variables with some modification to apply for arboretum visitors. Results of structural equation model showed that perceived value affected visitors' satisfaction, which in turn influenced revisit intention. Specifically, "emotional value" had the most significant influence on satisfaction, followed by "value for money" and "novelty value"; however, "social value" was not an influential construct. Based on calibration results, several strategies were suggested for the effective management. Authors advised that (a)improvement of measurement scale of value, (b)inclusion of self-congruity as antecedent variable to satisfaction, (c)changing revisit intention to word-of-mouth communication as a post-purchase behavioral intention, and (d)implementation of market segmentation should be considered for future research.

• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.123-134
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• 2021

This paper suggests that the Internet is not free through analysis of U.S. Internet history and lawsuits related to the Charter merger in 2016. Generally speaking, the players in internet connectivity market agree to Non-Disclosure Agreement, when connecting their facilities and networks each other. So, I adopted the case study & analysis as research methodologies due to limitation of collecting the transaction data between them. The former finds that Internet access has never been free in U.S Internet history. As we know, some including Content Providers(CPs) argue that the Internet is a free network and there are many cases to use the internet for free, so they came to conclusion that ISPs have no right to charge the users like CPs. This study refutes these arguments in two ways. One is that using the internet has never been free. From ARPANET, known as the beginning of the U.S. Internet, to the commercialization of backbone, no Internet has been considered or implemented for free since the early Internet network was devised. Also, the U.S government was paying subsidies or institutions were paying fees to secure network operations for the NSFNET backbone. the other is that "free peering" refers to barter transactions between ISPs, not to free access to counterpart internet networks. Second, this study analyze the FCC' executive order of conditioned merger approval and the court's related ruling and verify that using the internet is not free. According to the analysis, this study finds that it's real situation to make paid settlements between ISP-CPs (including OTTs) in the US Internet market at the moment. This study concludes that the Internet has never been free in terms of its technical characteristics, network structure, network operation, and system. Also it proposes how to improve the domestic settlement system between ISPs-CPs in terms of policy and regulation.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.53-68
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• 2020

The Cadastral Renovation is a National project to investigate and survey the registration of Cadastral Record and replace the existing Cadastral Record with a new Cadastral Record by digital, and to correct the registration of Cadastral Record if the registration of Cadastral Record does not match the actual status of the land. The Business Period generally takes about one year and six months to two years. The time required is getting longer due to problems that occur in the course of the Adjustment amount after the cadastral resurvey survey due to complex structure and internal conflict due to the interest between landowners. After Boundary Decision of the real boundary, the land area is confirmed by the landowners, and the cadastral office is to settle the Cadastral Renovation by calculating the Adjustment amount according to the confirmed area and the increase and decrease of the cadastral area. Therefore, the solution plan was suggested so that reasonable Adjustment amount can be applied through empirical research applied to the time of calculation of Adjustment amount and the method of calculation of Adjustment amount. The improvement method showed the expected effect that can lead the agreement with the landowner to the shortest period, and it was also possible to set the real boundary that meets the purpose of the Cadastral Renovation. This study suggests improvements in the method of calculating standard Adjustment amount, the method of imposing Adjustment amount, and the method of boundary adjustment that does not impose adjustment amount through the cadastral Renovation and parallel studies, and it is expected that the Cadastral Renovation will be completed by 2030.

• International Commerce and Information Review
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• v.15 no.1
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• pp.35-65
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• 2013

In December 2012, the Ministry of Land, Transport and Maritime Affairs and Ministry of Knowledge Economy held a commission and distributed a standardized logistics contract between the shipper and the logistics companies in order to spread and to promote contract standardization. With such background in place, this study examines the leading research on different types and attributions in present logistics contracts in order to propose guidelines for creating contract clauses that would lead to a win-win relationship among the parties involved in the logistics outsourcing relationships. This study further compares and contrasts the concreteness of local and international logistics contracts through case studies, and provides practical thought-provoking points on concretization of clauses on potential risks and additional expenses for local logistics companies when signing logistics contracts. Firstly, the composition and contents of both local and international logistics contracts are similar in the way that both deal with the basic principles between the concerned parties such as the following: contract terms, validity, scope of work, operational procedures, payment terms, and dispute resolutions. Secondly, for flexibility of potential dispute resolution, both logistics contracts define the definition of dispute and follow the classical contractual approach of dispute resolution through third-party arbitration. Thirdly, compared to local contracts, international logistics contracts provide more concretized and specific clauses on the occurrence of potential risks and hazards; on the other hand, compared to international logistics contracts, it seemed that local contracts contained more clauses in favor of the shipper. This research then suggests ideas to eliminate the classic tradition - logistics companies enduring the damages that occur as a result of the structural differences between the shipper and the logistics companies - through efforts to actively negotiate in advance the predictable problems and risks and by reflecting the mutually agreed points in the contract, and further offers guidelines on contract concretization for distribution of standardized logistics contracts in the future.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.