• Journal of Distribution Science
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• v.17 no.4
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• pp.59-68
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• 2019

Purpose - The purpose of this study is to examine the differential mediating effects of three dimensions of buyer trust in the influence of supplier characteristics on the relationship performance. In this study, transaction characteristics were classified into competences and assets. The corporate reputation is considered as intangible assets, the customer-linking capability is considered among the competencies and transaction specific asset is selected from tangible assets. This study is also to examine the moderating effect of technical environment uncertainty in the effects of integrity and benevolence on the intention to continue trading. This study aims to provide a guide on which dimension suppliers should manage and how to improve their trust in order to maintain business with companies in technical environment uncertainty. Research design, data, and methodology - The data for the empirical analysis of this study were obtained by interviewing the 274 purchasing managers of Daegu - Gyeongbuk small and medium enterprises. The items used in this survey were partially modified to fit the characteristics of the B2B industry. The reliability and validity of the variables were analyzed using SPSS 18.0 and AMOS 18.0 programs and hypotheses were verified through the structural equation modeling. Results - In this study, reliability was examined by Cronbach 'α test. Composite Reliability and Average Mean Variance extracted value exceeded the baseline values. As a result of hypotheses testing, the hypothesis that the transaction specific asset will improve the benevolence and that benevolence will improve the intention to continue the transaction were rejected and all the other 9 hypotheses were adopted include 2 moderating hypothesis. Conclusions - This study shows which dimension of trust suppliers should appeal to the buyer according to the uncertainty of the technology environment in order to maintain the transaction with the buyer. competence and integrity are important when technology environment uncertainty is low, and competence and benevolence are important when technical environment uncertainty is high. In order to improve competence, corporate reputation and transaction-specific asset are important. To improve integrity, corporate reputation and customer-linking capability are important. In order to improve benevolence, customer-linking capability is important. And various implications were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.22-26
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• 2018

In this paper, we propose a model that classifies different transaction information by clustering and learning through similarity and transaction pattern of cryptocurrency transaction information. By using characteristics of genetic algorithms, we can get better clustering performance by eliminating unnecessary elements in clustering process. The transaction information including the clustering value is set as the training data, and the transaction information can be predicted through the classification algorithm. This can be used to automatically detect abnormal transactions from various transaction information of the cryptocurrency.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.143-159
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• 2019

Machine learning (ML) is a method of fitting given data to a mathematical model to derive insights or to predict. In the age of big data, where the amount of available data increases exponentially due to the development of information technology and smart devices, ML shows high prediction performance due to pattern detection without bias. The feature engineering that generates the features that can explain the problem to be solved in the ML process has a great influence on the performance and its importance is continuously emphasized. Despite this importance, however, it is still considered a difficult task as it requires a thorough understanding of the domain characteristics as well as an understanding of source data and the iterative procedure. Therefore, we propose methods to apply deep learning for solving the complexity and difficulty of feature extraction and improving the performance of ML model. Unlike other techniques, the most common reason for the superior performance of deep learning techniques in complex unstructured data processing is that it is possible to extract features from the source data itself. In order to apply these advantages to the business problems, we propose deep learning based methods that can automatically extract features from transaction data or directly predict and classify target variables. In particular, we applied techniques that show high performance in existing text processing based on the structural similarity between transaction data and text data. And we also verified the suitability of each method according to the characteristics of transaction data. Through our study, it is possible not only to search for the possibility of automated feature extraction but also to obtain a benchmark model that shows a certain level of performance before performing the feature extraction task by a human. In addition, it is expected that it will be able to provide guidelines for choosing a suitable deep learning model based on the business problem and the data characteristics.

• Journal of Korean Society of Archives and Records Management
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• v.12 no.2
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• pp.181-205
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• 2012

The study aims at providing an electronic transaction records management system based on the third party repository which do not have any interest in electronic transactions. This study reviews various articles and standards. It also discusses theoretical issues about electronic transactions and electronic transaction records. Complex characteristics of electronic transaction records are explored and management procedures are analyzed and divided into 5 stages by the life cycle and management bodies. Based on these discussions the study affirms that trustworthy third parties' interventions are essential to prevent and control potential conflicts of electronic transactions. It proposes a trustworthy electronic transaction record management system with the third party repository. Futhermore, it discusses evidence and management environment of electronic transaction records and provides cases of TTPR based on contract transaction and exchange transaction.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.45-57
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• 2003

In recent years, the number of digital content transaction has increased dramatically, in main, owing to the innovation of IT technology. At the same time, it creates new problems which have never been found in traditional transactions. Especially, due to the easy-copy characteristics of digital content, the illegal usage of digital content proliferates. Also the conflicts between seller an d buyer in digital content transactions on cyberspace market take place frequently because contracts were made without face-to-face discussion. The increase of illegal usage and conflict in digital content market would diminish motivation of creators for their work, furthermore break down digital content market on cyberspace. Digital content transaction authentication system would play an important role in creating sound digital content market. Especially, it would make big contribution to reducing the number of conflict between seller and buyer. In this context, the main objective of this study is to suggest operational model of digital content transaction authentication and to explain critical success factors in organizing digital content transaction authentication system.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.175-181
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• 2006

AMobile-supported spatial database systems have been introduced with development of mobile computing technology, they offer an advantage that we can access the data wherever we are. However, the studies on database system in traditional distributed environments must be reconsidered again, because of characteristics of mobile database system such as mobility and instability of wireless network. A new transaction model should be required for considering the characteristics, since especially a mobile computing environment is location-dependent, compared with the location transparency in a distributed computing environment. In other aspect, normally mobile host may be moving not in all space, but in some limited path. That is, a host is moving along the roads or the geographical features adjacent to the roads. The transaction processing should be considered not on the spatial coordinate but on the geographical features. In this paper, the feature based transaction processing model is proposed to process location-dependent transaction efficiently.

• KDI Journal of Economic Policy
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• v.41 no.1
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• pp.15-41
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• 2019

This paper economically analyzes the benefits and concerns of the sharing economy and derives policy implications that could help to achieve the expected benefits and respond appropriately to any concerns. Primary benefits anticipated from the sharing economy are the creation of new transactions and promotional and market testing opportunities, and the main concerns include the crowding out of existing transactions as well as transaction and social risks. How these benefits and concerns are being realized in Korea is empirically examined by conducting a survey on participation experiences with the sharing economy. The sharing economy is expected to contribute to the enhancement of social welfare with its wide range of benefits if risk factors can be properly controlled. Accordingly, an institutional framework is needed to support the stable growth of the sharing economy, and the unique characteristics of non-professional, peer-to-peer transactions should be reflected in tandem with regulatory equity between existing and sharing economy suppliers. To do this, transaction-volume-based regulations are recommended. Furthermore, to secure regulatory effectiveness and to alleviate transaction risks, the pertinent obligations must be imposed on sharing platforms.

• Proceedings of the KIPE Conference
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• 2003.07a
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• pp.410-414
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• 2003

In this paper, the virtual-reality system is tried to developed, which controls not only the sense of sight and hearing but also the sense of touch, In order to develope the sense of touch in this study, the stable tactual transaction-system, based on summing up the basic algorithm and theory, is embodied. The hardware of this system consists of the 6DOF haptic interface, a controller and a driver In the case of the software, the proxy algorithm is applied for the force-transaction and the mopping algorithm is used for graphic transaction. In addition to this, the imaginary-device driver is utilized for controlling the system and manager-class is also included in this system to manage the position-change and the like. Consequently, the proxy algorithm Is applied, which makes the system possible to be more stable and prompt with and imaginary object. Moreover, the impulse-algorithm is applied to work out a problem which the tactual transaction-period is different from the graphic transaction-period.

• Journal of Internet Computing and Services
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• v.6 no.1
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• pp.65-72
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• 2005

Flash memories are one of best media to support portable computers in mobile computing environment. The features of non-volatility, low power consumption. and fast access time for read operations are sufficient grounds to support flash memory as major database storage components of portable computers. However. we need to Improve traditional transaction management scheme due to the relatively slow characteristics of flash operation as compared to RAM memory. In order to achieve this goal. we devise a new scheme called flash-aware transaction management (FATM). FATM improves transaction performance by exploiting SRAM and W-Cache, We also propose a simulation model to show the performance of FATM. Based on the results of the performance evaluation, we conclude that FATM scheme outperforms the traditional scheme.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.533-544
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• 2004

Reports have a significant meaning in time-constrained large transaction environments, such as airplane control systems or wargame simulations. This is due to the necessity of generating reports within a given time limit without restraining the operation performance of large transaction environments. In order to generate reports in large transaction environments while satisfying time-constrained requirements, this paper proposes a model which combines the incremental operation mechanism and materialized view mechanism using triggers and stored procedures. Further, the implementation and evaluation of the proposed model provides the Identification of the characteristics of the proposed model.