• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.373-381
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• 2011

This study focused on investigating factors of partnership formation for transactional enterprises on supply chain to form a transactional relationship centering around textile industry in Daegu and Gyeongbuk. The study also investigated the effect of the factors of partnership formation for mutual cooperation among textile manufacturers in Daegu and Gyeongbuk on partnership outcomes, and finally provided basic information that help enterprises form efficient partnership relationships with related manufacturers. The sample of the study was manufacturers of yarn, dyeing, weaving, process and fabrics in Daegu and Gyeongbuk that are registered on Korea Federation of Textile Industries. The total of 81 responses were used for data analyses, and factor analyses, regression analyses, and ANOVA were utilized appling SPSS 14.0 Package. The results of the research were as follows: First, among partnership formation factors mutual confidence was highly related to presentation of exclusive technological information, efforts to keep relationships between enterprises, presentation of information, and transactions between reliable enterprises that were formed despite of any losses. Second, it was also important that enterprises exchange and communicate their business goals with partners by having common goals. Third, it was also important that problems and damages were informed to and were shared with transaction companies. If conflicts between enterprises occurred, they can be smoothly solved based on the partnership formation. Fourth, enterprises form partnerships with transaction companies by considering their operation abilities. Fifth, transactions with enterprises which are mutually reliable and have superior technology and information contributed a lot to economic outcome. Lastly, the study revealed that among partnership formation factors mutual confidence to transaction companies influenced outcome of mutual confidence profit creation, outcome of technology & information efficiency were closely related to the ability to solve generated problem, and an important factor of the outcome of technology & information profit creation was communication.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.229-233
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• 2004

According as internet and Information-Communication technology develop with the fast speed, Electronic Catalog that is used B2B or B2C electronic commerce is important element middle who can express well special quality of corporation's goods and product most effectively from internet space. But, several problems that creation of Electronic Catalog and standard absence about application that can say as importance technology base in electronic commerce and market newcomers who is constructing each other dissimilar system and take part in electronic commercial transaction can not use Electronic Catalog information exchange and transaction are happening. So that this treatise can use Electronic Catalog document that user who define Electronic Catalog document structure that can process information of goods configurationally and takes part in transaction is defined in electronic commerce hereupon, integration style Electronic Catalog system design and embody. This system did useful information that can not get from various advantage and catalog document such as business all-in-one and interoperability in different environment that Web Services through interlock with Web Services has so that can get Web Services.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.194-194
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• 2016

Gansu, located in the northwestern region, is a typical agricultural province of arid, semiarid in China. The shortage of water resources is the biggest obstacle of Gansu Province's development, and the dry farming water-saving is the eternal theme of Gansu agricultural sustainable development. In recent years, intensify reform in Gansu, has walked out a successful way in the agricultural water-saving. Using the integrated river basin governance as opportunity, the total water-using quantity was regarded as rigidity to retrain, distributed to counties (districts), irrigated areas, towns, associations, groups step by step. Agricultural water price was substantially increased, with the surface water price from about $0.1RMB/m^3$ to more than $0.2 RMB/m^3$, and the ground water from zero to more than $0.1RMB/m^3$. Simultaneously, the difference water prices and over-quota water progression price markup were carried out. The transaction of water rights was encouraged to impel the peasant to establish the consciousness of saving-water. The regulatory documents were formulated to standardize the scope, condition, mode, program etc. of agriculture water-rights transaction, to guarantees the transaction of water rights is carries out in order. The pattern of farming was optimized and adjusted, reducing the high water-consumption crop, increasing economic crops with high benefit and low water-consumption, developing industrialized agricultures such as green house. The relative engineering and measuring facility were comprehensively improved, with the anti-seepage of canal system and the enforcement of dynamo-electric well, developing high-efficient water-saving irrigation and overall metering facilities. The water fine-grained management has realized, and obvious water-saving effect has obtained: water-using rate in the irrigation area by river water has brought up to 0.57 from 0.52, and by well water up to 0.84 from 0.76. Although the water price has increased, the proportion that the water rate expenditure accounted for the cost lasts decline, and the farmers' income has gone up. The peasants express, the used water is few, and it is few to till land, but the income is many, and life is better.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.13-21
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• 2012

Mobile data caching is usually used as an effective way to improve the speed of local transaction processing and reduce server load. In mobile database environment, due to its characters - low bandwidth, excessive latency and intermittent network, caching is especially crucial. A lot of mobile data caching strategies have been proposed to handle these problems over the last few years. However, with smart phone widely application these approaches cannot support vast data requirements efficiently. In this paper, to make full use of cache data, lower wireless transmission quantity and raise transaction success rate, we design a new mobile data caching synchronization strategy based on in-demand and replacement priority. We experimentally verify that our techniques significantly reduce quantity of wireless transmission and improve transaction success rate, especially when mobile client request a large amount of data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.67-81
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• 2010

As wide propagation of smartphones, e-commerce with smartphones increases rapidly. Such as transfer or stock trade systems. It has prospect that most of financial companies going to offer e-commerce systems via smartphones. And e-commerce via smartphones will be increased, hence the nature of smartphone that can be used whenever, wherever. However, legislation of e-commerce in Korea does not reflect these characteristics of smartphones, because it has set standards in regular PC. So that this study is security threat and feature of smartphones considering that the current legal system will use Certificate constraints, ensuring the safety of e-commerce and install security programs for protection of users, e-commerce responsible for the accident analysis has focused on the issues presented for this improvement.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.173-182
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• 2022

In this paper, we propose a machine learning model that can prevent fraudulent transactions in advance and interpret them using the XAI approach. For the experiment, we collected a real data set of 12,258 mobile phone sales posts from Joonggonara, a major domestic online C2C resale trading platform. Characteristics of the text corresponding to the post body were extracted using Doc2vec, dimensionality was reduced through PCA, and various derived variables were created based on previous research. To mitigate the data imbalance problem in the preprocessing stage, a complex sampling method that combines oversampling and undersampling was applied. Then, various machine learning models were built to detect fraudulent postings. As a result of the analysis, LightGBM showed the best performance compared to other machine learning models. And as a result of SHAP, if the price is unreasonably low compared to the market price and if there is no indication of the transaction area, there was a high probability that it was a fraudulent post. Also, high price, no safe transaction, the more the courier transaction, and the higher the ratio of 0 in the price also led to fraud.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.41-50
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• 2022

The primary purpose of this study is to identify various factors that affect farmland prices according to changes in the actual transaction price of farmland over the past decade, and to use this to derive policy implications for price stabilization. To this end, the farmland price model are constructed at the parcel level in the case area (Namwon-si, Jinju-si). The analysis method is based on the Hedonic price function, and the OLS and the quantile regression are used for the parcel level model. As a result of estimating the parcel level farmland price model in the case area, the larger the parcel area, the lower the farmland price, and the higher the farmland price outside the agricultural promotion area. It was found that there was a price difference according to the type of special purpose areas, and the location characteristics showed some differences across the cities. The farmland price models presented in this study are suitable for identifying the factors affecting farmland prices, and are expected to be highly utilized in that it is possible to construct flexible variables suitable for regional characteristics.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1986-2009
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• 2024

The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including k-means, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.53-62
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• 2018

Purpose - The focus of this study is to investigate the structural influences such as brand value, relationship value, market orientation, long-term orientation, and performance. The effects of brand value and relationship value on the differences on transaction performance in b2b was investigated. Research design, data, and methodology - The subject of this study was a liquor and beverage distribution company that deals in b2b. The research hypothesis is based on literature of the preceding research analysis of brand value, relationship value, market orientation and long-term orientation. This study has constructs that was defined operationally by referencing previous studies. Operational questionnaire was used to investigate the target key staff who work in the liquor and beverage distribution company. 178 survey data were used for empirical analysis to prove the hypothesis. This study used structural equation techniques(AMOS) to prove the research hypothesis. Results - The main results of this empirical study were as follows. First, supplier's brand awareness has a positive effect on market orientation, but did not affect long-term orientation. Brand awareness of suppliers indicates that they are not directly related to long-term orientation. Second, supplier's brand image has a positive effect on market orientation and long-term orientation in b2b transaction. So, the brand image and reputation of the supplier suggest that it is important for the b2b transaction to have a market orientation tendency or a long-term orientation. Third, supplier's relationship value has a positive effect on long-term orientation, but does not affect market orientation. Relationship value indicates that they are not directly related to market orientations of the buyer. Fourth, Market orientation has a positive effect on long-term orientation and marketing performance and long-term orientation has a positive effect on marketing performance in b2b. Additionally, the buyers market and long term orientation are important factors in marketing performance in b2b. ' Conclusions - Based on empirical results, this study confirmed that brand image rather than brand awareness positively influenced long-term orientation as well as market orientation in b2b. Relationship value can be found in transactions, which is important for long-term orientation. Especially, these findings are suggestive in the consumer goods distribution market.

• Journal of Distribution Science
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• v.18 no.4
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• pp.51-60
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• 2020

Purpose: The purpose of this study is to derive a strategy to manage the relationship termination intention of the partner in a B2B transaction. To achieve this goal, the relationship compatibility was classified into goal incongruity, domain dissensus, perception difference, and verified the effects of these variables on relationship termination intention. Trust which is well known as a variable which develops the relationship and prevents relationship termination is used as a moderating variable in this study. This study identifies and highlights which relationship incompatibility increases relationship termination intention more when trust is high and when it is low. Research design, data, and methodology: The data of this study were obtained via an interview with 274 purchasing decision makers. Results: It was found that goal incongruity and domain dissensus increased the partner's relationship termination intention. Trust amplified the effect of goal incongruity which increased relationship termination intention, but reduced the effect of domain dissensus which increase relationship termination intention. Conclusions: Through this research, it has emerged that the relationship can be terminated because of high trust. If a partner has a high level of trust in the past in a company, it should take more care not to perceive goal incongruity.