• Title/Summary/Keyword: Transaction Value

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Purchase Transaction Similarity Measure Considering Product Taxonomy (상품 분류 체계를 고려한 구매이력 유사도 측정 기법)

  • Yang, Yu-Jeong;Lee, Ki Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.9
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    • pp.363-372
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    • 2019
  • A sequence refers to data in which the order exists on the two items, and purchase transaction data in which the products purchased by one customer are listed is one of the representative sequence data. In general, all goods have a product taxonomy, such as category/ sub-category/ sub-sub category, and if they are similar to each other, they are classified into the same category according to their characteristics. Therefore, in this paper, we not only consider the purchase order of products to compare two purchase transaction sequences, but also calculate their similarity by giving a higher score if they are in the same category in spite of their difference. Especially, in order to choose the best similarity measure that directly affects the calculation performance of the purchase transaction sequences, we have compared the performance of three representative similarity measures, the Levenshtein distance, dynamic time warping distance, and the Needleman-Wunsch similarity. We have extended the existing methods to take into account the product taxonomy. For conventional similarity measures, the comparison of goods in two sequences is calculated by simply assigning a value of 0 or 1 according to whether or not the product is matched. However, the proposed method is subdivided to have a value between 0 and 1 using the product taxonomy tree to give a different degree of relevance between the two products, even if they are different products. Through experiments, we have confirmed that the proposed method was measured the similarity more accurately than the previous method. Furthermore, we have confirmed that dynamic time warping distance was the most suitable measure because it considered the degree of association of the product in the sequence and showed good performance for two sequences with different lengths.

Effects of Dollarization on Inflation and Exchange Rates in North Korea (달러라이제이션이 확산된 북한경제에서 보유외화 감소가 물가·환율에 미치는 영향)

  • Mun, Sung Min;Kim, Byoung-Ki
    • Economic Analysis
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    • v.26 no.2
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    • pp.1-42
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    • 2020
  • This paper studies, from a quantity theory of money perspective, the reasons that North Korean inflation and exchange rates maintain stability while its economy is experiencing difficulties due to the international community's economic sanctions. In doing so, this paper uses both domestic and foreign currencies in an analytic model based on the quantity theory of money to cautiously reflect North Korea's dollarization as well as its management of its exchange rate. In particular, foreign currency holdings are divided into those for store-of-value purposes and those for transaction purposes. This paper shows that in the early stages, in which the amount of foreign currency holdings for store-of-value purposes is decreasing while the amount of foreign currency holdings for transaction purposes is intact, inflation and exchange rates both exhibit stable movements. In the middle stages, where the amount of foreign currency holdings for transaction purposes begins to fall, exchange rates show some increase and inflation decreases. In the final stages, when the amount of foreign currency holdings for transaction purposes significantly decreases, exchange rates and inflation both increase, and in some situations a crisis can happen. According to this paper's analysis, if the economic sanctions continue to the extent that the amount of North Korean foreign currency holdings for transaction purposes starts to fall, the exchange rate and inflation stability we see now are unlikely to be maintained.

A Study on the Influencing Factors on perceived usefulness and continuous use intention of used trading app's users: Focusing on consumption value and protection motive theory (중고거래 앱(App) 사용자의 지각된 유용성 및 지속적 사용의도에 미치는 영향요인에 관한 연구: 소비가치와 보호동기 이론을 중심으로)

  • Joung, HyunSuk;Kim, MiSook;Hong, KwanSoo
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.2
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    • pp.143-161
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    • 2022
  • This study examines the effect of used trading app's consumption value and protection motivation and the perceived usefulness and continuous use intention. The proposed research model and developed hypotheses were tested using structural equations modeling based on data collected from 293 customers with experience in used transaction app's. The results of the study confirm the positive effects of the used trading app's consumption value and protection motive theory is perceived usefulness of customer. In addition, there is a positive relationship between a customer's perceived usefulness and continuous use intention of used trading app's. The study provides On a theoretical level valuable insights into the sustainability of transaction app's after post-COVID 19 and the importance of developing used trading app's consumption value and protection motivation, but there is also a limitation that the region is limited.

The Effect of B2B Transaction Characteristics on Relationship Performance : The moderating Role of Technical Environment Uncertainty (B2B 거래기업 특성이 관계성과에 미치는 영향 : 기술환경 불확실성의 조절 효과 중심으로)

  • Son, Mikyung;Lee, Hyoungtark
    • 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.

Apply Blockchain to Overcome Wi-Fi Vulnerabilities

  • Kim, Seong-Kyu (Steve)
    • Journal of Multimedia Information System
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    • v.6 no.3
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    • pp.139-146
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    • 2019
  • This paper, wireless internet such as Wi-Fi has a vulnerability to security. Blockchain also means a 'Ledger' in which transaction information that occurs on a public or private network is encrypted and shared among the network participants. Blockchain maintains information integrity by making it impossible for a particular node to tamper with information arbitrarily, a feature that would result in changes in the overall blockchain hash value if any one transaction information that constitutes a block was changed. The complete sharing of information through a peer-to-peer network will also cripple hacking attempts from outside, targeting specialized nodes, and prepare for the "single point of failure" risk of the entire system being shut down. Due to the value of these Blockchain, various types of Blockchain are emerging, and related technology development efforts are also actively underway. Various business models such as public block chains such as Bitcoin, as well as private block chains that allow only certain authorized nodes to participate, or consortium block chains operated by a select few licensed groups, are being utilized. In terms of technological evolution, Blockchain also shows the potential to grow beyond cryptocurrency into an online platform that allows all kinds of transactions with the advent of 'Smart Contract'. By using Blockchain technology, the company makes suggestions to overcome the vulnerability of wireless Internet.

A Study on the Transaction Volume Calculation model for Improving the Measurement Accuracy of Hydrogen Fuelling Station (수소충전소 계량 정확도 향상을 위한 거래량 산출 모델 연구)

  • JINYEONG CHOI;HWAYOUNG LEE;SANGSIK LIM;JAEHUN LEE
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.6
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    • pp.692-698
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    • 2022
  • With the expansion of domestic hydrogen fuelling station infrastructure, it is necessary to secure reliability among hydrogen traders, and for this, technology to accurately measure hydrogen is important. In this study, 4 types of hydrogen trading volume calculation models (model 1-4) were presented to improve the accuracy of the hydrogen trading volume. In order to obtain the reference value of model 4, and experiment was conducted using a flow rate measurement equipment, and the error rate of the calculated value for each model was compared and analyzed. As a result, model 1 had the lowest metering accuracy, model 2 had the second highest metering accuracy and model 3 had the highest metering accuracy until a certain point. But after the point, model 2 had the highest metering accuracy and model 3 had the second metering accuracy.

Analysis on the Increasing Marginal Revenue of the Network Economy

  • Yang, Jian
    • The Journal of Economics, Marketing and Management
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    • v.6 no.3
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    • pp.10-13
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    • 2018
  • Purpose - On the basis of discussing the network economy concept and the commentary of the marginal revenue decreasing of traditional economic theory, The concept of network economy has just been put forward in recent years. The reason why such a concept appears is that the information technology, marked by computer network, plays an increasingly important role in economic activities. Some people define network economy as an economic form based on network technology and human capital. this paper points out network economy existing the marginal revenue increasing and analyzes the reasons that influencing the marginal revenue increasing. Research design, data, methodology - The network economy has fundamentally changed the traditional economic laws. The economic basis of industrial society is the law of incremental marginal cost, which reflects the socialization of high cost in industrial society. Results - As the number of network members increases, the value of the network increases explosively, and the value increases attract more members to join, resulting in more returns. Conclusion - In conclusion, network economy has changed many aspects of traditional economy, resulting in decreasing marginal cost, decreasing transaction cost in and out of enterprise organizations, and making the effect of increasing scale compensation more prominent. This is of great significance to the information construction in China.

A Study on Determining Factors for Manufacturers to Distributors Warehouse in Supply Chain (제조업체의 유통업체 물류창고 활용 결정 요인에 관한 연구)

  • Lee, Sang-Hyun
    • Journal of the Korea Convergence Society
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    • v.4 no.2
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    • pp.15-20
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    • 2013
  • This study aims to determine factors related for manufacturers to use distributors storehouse and its cost efficiency in Supply Chain. When manufacturers which have relationships with Big distributors determine the way of their logistics, they can use their own warehouse, or the distributors', or outsource its function. In which case the manufacturers face the cost efficiency of using warehouse will be different, therefore, the driven factors will exist internally or externally. The findings of this study are that internal factors(brand value, product portfolio, and technological capabilities), external factors(technological characteristics, demands fluctuations, and munificence), and transaction characteristics(transaction experiences, dependency) would be driven factor between manufacturer and distributors in supply chain. These driven factors effects manufacturers transactions power on their distributors.

A Study on Digital Banking Platform-based FinTech Case: Koscom (디지털뱅킹 플랫폼 기반 핀테크 사례 연구: 코스콤)

  • Chung, Yee Chul;Lee, Sang Gi;Kim, Hee-Woong
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.61-78
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    • 2020
  • Recently, in the global financial transaction field, global transactions using computer systems and server hubs between foreign exchanges beyond the one-dimensional offline transactions and two-dimensional online transactions have been actively conducted. In the previous research by Lee Hyung-wook and Lee Min-jae (2018), as the globalization has accelerated following the development of digital technology and the expansion of ubiquitous communication network, the role of companies, the attribute of economic value creation and economic structure are being reorganized. It is said that O2O (Online to Offline) transactions are increasing due to the development. As a result, a new financial transaction paradigm is emerging that solves the inconveniences of existing financial services and enhances speed and convenience. Considering the global network trend and the rapidly developing and evolving digital bank environment, the necessity of utilizing the business platform model is emerging. However, despite this necessity, there are very limited cases in which such an attempt has been applied in practice. Accordingly, this study seeks to explore the business platform of the new financial transaction system. Specifically, the case study systematically examines the actual implementation of a unique network connection model with Koscom's global investment bank, which is currently in charge of the domestic financial transaction system, and improves ICT innovation performance and process through this. I would like to suggest a solution. In particular, this study analyzed a variety of business model construction and use cases by pursuing a platform connection with digital banks, which has recently been increasingly in demand. Therefore, this study intends to pursue the original and long-term profitability of the company by utilizing ICT innovation and platform business model, and also analyzes the convenience and excellence of trading for institutional and individual investors using the platform of digital bank. The implications of this study are significant in that it explores and explores the actual cases of ICT innovation and additional digital bank platform-connected business models based on this, and suggests a unique and preemptive business strategy of the company in the future.

Data Volume based Trust Metric for Blockchain Networks (블록체인 망을 위한 데이터 볼륨 기반 신뢰 메트릭)

  • Jeon, Seung Hyun
    • Journal of Convergence for Information Technology
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    • v.10 no.10
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    • pp.65-70
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    • 2020
  • With the appearance of Bitcoin that builds peer-to-peer networks for transaction of digital content and issuance of cryptocurrency, lots of blockchain networks have been developed to improve transaction performance. Recently, Joseph Lubin discussed Decentralization Transaction per Second (DTPS) against alleviating the value of biased TPS. However, this Lubin's trust model did not enough consider a security issue in scalability trilemma. Accordingly, we proposed a trust metric based on blockchain size, stale block rate, and average block size, using a sigmoid function and convex optimization. Via numerical analysis, we presented the optimal blockchain size of popular blockchain networks and then compared the proposed trust metric with the Lubin's trust model. Besides, Bitcoin based blockchain networks such as Litecoin were superior to Ethereum for trust satisfaction and data volume.