• Journal of Korean Institute of Industrial Engineers
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• v.36 no.3
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• pp.193-202
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• 2010

The recommender system is a typical software solution for personalized services which are now popular in e-commerce sites. Most of the existing recommender systems are based on customers' explicit rating data on items (e.g., ratings on movies), and it is only recently that recommender systems based on implicit ratings have been proposed as a better alternative. Implicit ratings of a customer on those items that are clicked but not purchased can be inferred from the customer's navigational and behavioral patterns. In this article, a dimensionality reduction (DR) technique is newly applied to the implicit rating-based recommender system, and its effectiveness is assessed using an experimental e-commerce site. The experimental results indicate that the performance of the proposed approach is superior or at least similar to the conventional collaborative filtering (CF)-based approach unless the number of recommended products is 'large.' In addition, the proposed approach requires less memory space and is computationally more efficient.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.89-97
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• 2004

1. Introduction; Fundamental Difference between conventional old commerce and e-commerce？ 2. "Quantity changes into Quality"; Phase transition and Critical phenomena Logarithmic Convergence and Emergence of Quality 3. Networked Small World; Indications from Genomics; Power-Law Ordered Plain Structure of Super-Complex System ⇔ The Structure of e-Biz. 4. Uniquitous Crisis to Ubiquitous Critical Points for the Emergence of Qualified Business with e-strucrure

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.579-586
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• 2003

Agents are well fitted to e-commerce applicable area because they pursuit an autonomy and interact with dynamic environment. In this paper we propose an e-commerce agents using reinforcement learning. We modify a reinforcement teaming algorithm for agents to have an intelligent feature and to make a transaction as practical business body in behalf of a person. To show the validity of this approach, we classify agents into buying agents and soiling agents, give characters of level according to the degree of learning and communication. Finally we implement an e-commerce framework and show the result. In this paper we show a design of e-commerce agents which is based on the proposed learning algorithm and present that the agents have enough possibility of doing a transaction in practical e-commerce.

• Journal of Distribution Science
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• v.18 no.2
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• pp.49-58
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• 2020

Purpose: This study focuses on the performance of the strategy of Indonesia's companies in facing the development of e-commerce business. The relationship between Knowledge Management (Organizational Memory, Knowledge Sharing, Knowledge Absorption, Knowledge Acceptance), Organizational Innovativeness, Competitive Advantage (Time, Quality, Cost, Flexibility) and E-Commerce (Humanistic Factors: Management, Competence, Organizational Structures) examined in this case study. Research design, data, and methodology: This study uses two types such us qualitative and quantitative. A survey approach were conducted to collect data from the Group of Companies (Director and Manager), Academician (Lecturer), Regulator (Head of Government Institution Division), and Master of Management (at least five years). Total of 114 samples was collected and processed for statistical analysis using Smart PLS. Results: This study provide the findings proved that Knowledge Management and Organization Innovativeness simultaneously have positive influence on Competitive Advantage, while Knowledge Management, Organization Innovativeness, and Competitive Advantage simultaneously have positive influence on E-commerce where Competitive Advantage positively influence to E-commerce. Conclusions: The implementation of strategies or steps in this study are expected to steer and motivate an organization to successfully implement a good knowledge management system to pass on knowledge from generation to generation in the company Organizational Innovativeness strategies to improve e-commerce performance.

• Journal of the Korean Home Economics Association
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• v.43 no.3 s.205
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• pp.1-10
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• 2005

The purpose of this study was to investigate the enforcement strategy for Consumer Service marketing of an e-Commerce shopping mall. An e-CRM for a Cosmetic e-Commerce shopping mall, Data Warehousing(DW) component, analysis of data mining of the DW, and web applications and strategies had to developed for marketing of consumer service satisfaction. The major findings were as follows: An RFM analysis was used for consumer classification, which is a fundamental process of e-CRM application. The components of the DW were web sales data and consumer data fields. The visual process of consumer segmentations (superior consumer class) for e-CRM solutions is presented. The association analysis algorithm of data mining to up-selling and cross-selling indicates an association rule. These e-CRM results apply web DB marketing and operating principles to a shopping mall. Therefore, the system applications of e-CRM to Consumer services indicate a marketing strategy for consumer-oriented management.

• Journal of Arbitration Studies
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• v.24 no.4
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• pp.29-47
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• 2014

In recent years, with the rapid development of electronic commerce, companies engaging in e-commerce want to take advantage of fast and easy way to solve ever-growing disputes online. South Korea's e-commerce disputes are mainly solved by mediation process of Korea E-commerce Mediation Committee. The whole process of online mediation can be carried out by the network, with the advantages of high efficiency and speed. On the other hand, the introduction of CIETAC's online Arbitration Rules in China meets the actual needs. Especially the requirement of hearing trials' procedures should be easier and faster, making the dispute can be resolved in a short time. Furthermore, the whole process from applying to ruling is conducted online, which meets the needs of e-commerce business that want to solve the disputes faster and more efficient. In addition, the cost of online arbitration is much lower than the average arbitrations. The implementation of the CIETAC's Online Arbitration Rules, will further promote the development of e-commerce in China. With the increase of trade volume between China and Korea, the e-business are also increasing. Although South Korea has not yet implemented online arbitration until now, CIETAC's effort for combining arbitration and mediation have good implications for development Korea's e-commerce online dispute system to promote e-Commerce between Korea and China.

• Journal of Arbitration Studies
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• v.23 no.1
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• pp.133-152
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• 2013

Recently, the United Nations Commission on International Trade Law (UNCITRAL) has made progress toward resolving low value, high volume disputes in international e-commerce. At the Working Group's 26th session, two draft procedural rules were addressed. The first discussed the draft of Article 9, entitled "Decision by a neutral party." This is based on the suggestion in 26th session to have a "two track" system of ODR, one including negotiation, facilitated settlement, and arbitration phrases, and the other not including an arbitration phase. The second draft procedural rule, draft Article 10, regards the language of proceedings. In most cases of international e-commerce, the decision of language of an ODR proceeding is a matter of importance, for the language parties could differ from each other. This paper examines several implications of UNCITRAL for Korea, which has unstable ODR system.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.267-274
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• 2023

As the Internet has expanded and the continuous expansion of online shopping in China, many rural areas also have sales outlets. Due to the impact of economic conditions, rural locations have inadequate e-commerce logistical infrastructure, the number of outlets is small, and each other is in a decentralized state. For various reasons, the advancement of rural e-commerce logistics lags far behind that in urban areas. As the Internet of Things with big data grow in popularity, we can create and enhance the assurance system for the booming ecommerce in rural areas by building the support system of rural online shopping platform, and strengthening the joint distribution of logistics terminals based on data mining, so as to encourage the quick and healthy growth of rural online shopping.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.1-10
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• 2024

In the era of big data, the growth of e-commerce transactions brings forth both opportunities and risks, including the threat of data theft and fraud. To address these challenges, an automated real-time fraud detection system leveraging machine learning was developed. Four algorithms (Decision Tree, Naïve Bayes, XGBoost, and Neural Network) underwent comparison using a dataset from a clothing website that encompassed both legitimate and fraudulent transactions. The dataset exhibited an imbalance, with 9.3% representing fraud and 90.07% legitimate transactions. Performance evaluation metrics, including Recall, Precision, F1 Score, and AUC ROC, were employed to assess the effectiveness of each algorithm. XGBoost emerged as the top-performing model, achieving an impressive accuracy score of 95.85%. The proposed system proves to be a robust defense mechanism against fraudulent activities in e-commerce, thereby enhancing security and instilling trust in online transactions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.56-64
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• 2022

Many studies have suggested that e-commerce value creation potential depends on four interdependent factors Lock-In, Complementarity, Efficiency, and Novelty. In order to survive in the recent fierce competition, companies have also secured e-Trust that strengthens long-term business relationships by reducing consumer uncertainty. This study, while analyzing the value creation factors (Lock-in, Complementarity, Efficiency, Novelty, e-Trust) of recent e-commerce (online shopping mall) companies from the point of view of purchase intention, customer value (Functional value, Emotional value, Social value) We present an academic proposition that can also examine the mediating effect of value). First, through previous studies on value-based strategy and value creation in e-commerce, various discussions on the theoretical background necessary for effective value-based strategy establishment and strategy execution of e-commerce (online shopping mall) companies were reviewed. Second, it provides academic discussion and practical implications by presenting academic propositions on the value creation factors of e-commerce (online shopping mall) companies, purchase intentions, and customer value, and confirming the basis through empirical analysis.