• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1760-1768
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• 2004

A P2P is a method that can share and exchange on digital resources through a direct connection on personnel without a central server. In this paper, we apply a P2P technology to a traditional electronic commerce method so that a seller and a customer can perform a commercial transaction through a direct communication. As such a result, we propose a new e-Commerce model on P2P environment to assure fairness in commercial transactions. To achieve our goal, we put an escrow server which is responsible for guarantee fair contents delivery and payment for the contents between a seller and a customer. When a customer buys content, he first obtains reputation values implicating reliability for the content and refers to these values to determine purchase. The proposed scheme, we can improve the reliability for the purchasing content and provide the fairness to both a seller and a customer simultaneously.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.747-749
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• 2000

현재의 물류시스템은 전자상거래 (EC/CALS), 공급경로관리 (SCM), 효율적 고객대응 (ECR), 전사적자원관리 (ERP), QR (Quick Response) 등을 중심으로 물류기술들이 개발되고 발전되어왔다. 특히, 전자상거래의 활성화로 수배송 중심의 효율적 관리가 인터넷 쇼핑몰 (B to C) 에서는 중요한 핵심요소의 역할을 할 것으로 전망된다. 이에 본 연구는 DCM (Delivery Chain Management) 의 개념과 관련 기술에 관하여 살펴보고자 한다.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.15-25
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• 2002

This paper considers supplier selection process for e-business & ISO 9001 quality management system environments. Determining suitable suppliers in the electronic commerce has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In this paper, a Quality Estimated Supplier Selection (QESS) model is proposed to deal with the supplier selection problems in the e-business(Business to Business: B to B). In the supplier selection, quality management factors will be considered for the first time, and then price, and delivery etc. In the first level, we deal with the quality management factors such as quality management audit, product test, engineering man-power, capability index and training time etc., based on the five point scale. In the second level, a QESS model determines the final solution by considering factors such as price, production lead-time and delivery time.

• Journal of Distribution Science
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• v.18 no.4
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• pp.39-50
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• 2020

Purpose: This paper aimed to study the current locations of post offices to analyze service coverage area for parcel delivery in the Eastern Economics Corridor (EEC), which must be considered in the last mile to extend delivery service for e-commerce growth. Thailand Post was the case study in this paper. Research design, data and methodology: To involve solving the delivery service area under the last mile condition, the authors proposed a network analysis to determine service radius by employing a Geographic Information System (GIS). Furthermore, this paper applied Dijkstra's algorithm as a network analysis tool from GIS for analyzing the last mile service coverage area in a new economics zone. At the same time, the authors suggested an approach as a solution to locate last mile delivery center in EEC. Results: The results of the study pointed out that Thailand Post should consider more last mile delivery centers in EEC to support its express service in urban areas as well as improve the efficiency of service coverage for parcel delivery and create more advantages against competitors. Conclusions: This paper proposes a network analysis to extend the last mile service for parcel delivery by following Dijkstra's algorithm from GIS and a solution approach to add more last mile delivery centers. The results of the research will contribute to boosting customer satisfaction for last mile delivery service and enabling easy accessibility to a service center in EEC.

• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.259-270
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• 2010

The electronic commerce of agricultural products provides benefits both to the farmers and the consumers because of direct transaction between producers and consumers. This study analyses the factors affecting consumer's purchase intention that are using electronic commerce. And the purpose of this study is to contribute to increasing the farmer's income while operating electronic commerce by applying the results of this analysis. Consumer's purchasing factors in electronic commerce were obtained through literature reviews. The research model is established with the factors and analyses through the structural equation model. The results are as following; the first is how the quality of agricultural products affects positively consumer's satisfaction and trust. When sufficient information about the seller and the products are provided in the shopping mall site there are positive effects on the consumer's satisfaction and trust. The factors of convenience like purchasing time, saving, delivery convenience affect positively consumer's satisfaction. However, the relationship with trust enhancement could not be confirmed. In addition, hypotheses of positive relationships between economic feasibility factors like low price, satisfaction and trust, were rejected. Finally, consumer's satisfaction affects trust, and both the consumer's satisfaction and trust affects positively the purchase intention. In summary, in the electronic commerce of agricultural products, consumers might use electronic commerce as they purchase the reliable high quality products directly from farmers rather than be affected by economic feasibility and convenience factors.

• Journal of Distribution Science
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• v.18 no.5
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• pp.89-98
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• 2020

Purpose: The growth of online commerce is now becoming a major threat and a new opportunity for retailers. Existing offline retailers struggle to cope with new online retailers' threats by utilizing offline infrastructure. Besides, online retailers expand their online strengths to offline sales by opening their offline stores. Many retailers are paying close attention to the O2O business and the resulting changes. Thus, this research focuses on the O2O business model and process that retailers can adopt. Research design, data and methodology: Considering the features of products that retailers sell, this paper divides O2O business process with the following criteria: delivery lead-time and delivery area. And This research uses the business model canvas to define the features of O2O commerce business process. This paper also uses nine key elements in the business model canvas for analyzing the structure of O2O commerce business. Results: This paper suggests the delivery model of retailers respond to offline customer orders and summarizes the following results. (1) Considering characteristics such as logistics process, delivery area, and product type, we define the features of O2O business models: wide-area (warehouse) based O2O business model, regional area (store) based O2O business model and time-separated O2O business model. (2) This study checks the availability of the business model through the business cases of O2O business models. (3) This study also analyzes the O2O business model of domestic retail companies by the factors defined in the business model canvas. Conclusions: Retailers can adopt the O2O business process to fit their business requirements and strategy. The online retailers who deal with normal consumer products mainly have the wide-area based O2O business model. The wide-area based O2O business model can be suitable for retailers who manage inventory centrally. The time-separated O2O business model can be a good solution for fresh food retailers to operate the logistics process efficiently. And to shorten the delivery lead-time of fresh foods, the regional area based O2O business model can be fit to the retailer that utilizes its offline logistics or sales infrastructure. It may be much more important for retailers to share the inventory information with other branches and to change the role of offline stores.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.249-260
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• 2019

The study examines the impact of financial risk, convenience risk, non-delivery risk; return policy risk and product risk on online consumer behavior of Malaysian consumers. The research employed a self-administered survey to collect empirical data from 245 Malaysian online shoppers by using convenience sampling. Cronbach alpha was calculated to confirm the reliability of the data and then normality was assessed. Confirmatory Factor Analysis was then conducted to test the model using the goodness-of-fit tests. And finally, structural equation modeling is used to test the hypotheses and draw conclusions. IBM SPSS AMOS version 22.0 was utilized for data analysis. The research indicates that product risk, convenience risk, and return policy risk have a significant and positive impact on online shopping behavior. Financial risk is found to have insignificant and negative effects on consumer behavior. In addition, the non-delivery risk is found to have a significant and negative impact on online shopping behavior. The findings provide a useful model for measuring and managing perceived risk in online shopping which may result in an increase in participation of Malaysian consumers and reduce their cognitive deficiencies in the e-commerce environment. Several managerial implications are discussed along with the scope for future research.

• International Commerce and Information Review
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• v.9 no.3
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• pp.305-320
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• 2007

With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

• The Journal of Information Technology
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• v.6 no.4
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• pp.69-80
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• 2003

The electronic commerce continues to grow dramatically. Also, consumer complaints and damages related to e-commerce grow rapidly. The analysis of consumer complaints showed that consumer of e-commerce tended to buy the various product categories including cloth and home appliance. The damages of delivery problem rapidly rose by 1,185.3%. In categories of transaction including of 'internet shopping mall', 'internet contents' and 'internet auction', about 90% of consumer damages was related to 'internet shopping mall' but consumer damages of 'internet contents' was anticipated to be increased in the near future. The major goods and services of damages was 'digital camera', notebook PC', 'internet game service' etc. Therefore, it is required to establish consumer protection measures to be prevent consumer fraud such as internet shopping mall, Halfplaza.com, and major goods and services of damages. Also, it is need to establish system of spontaneous consumer protection improving consciousness of e-commerce companies.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.751-760
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• 2003

One of the business in the future will be executed by Business to Business(B to B) model of E-Commerce. The concept of the B to B model composes the work process, people, and supporting environment. The work processes are related to the information process, technologies, and standards. Information process elements contains digital data exchange, data sharing, and collaboration. This paper designed and implemented the XML-based Business Flow Management System(BFMS) for B to B model of E-commerce in the Internet. BFMS in this paper automatically performs the information process for B to B model such as electronic bidding system including purchase order management, bidding management, delivery management to build E-Commerce in the Internet. XML can be used as document standard between business for skating and exchange of data and also provide platform independent environment.