• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.03a
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• pp.265-279
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• 1998

전자상거래는 통합적 정보체계 환경아래서 정부, 기업, 개인가넹 이루어지는 생사느 구매, 수소, 재무, 행정, 서비스 등의 상업적인 거래를 의미한다. 본 연구에서는 기업간의 거래인 'Business-to-Business', 기업과 개인간의 거래인 'Business-to-Customer', 그리고 개인과 개인간의 거래인 'Customer-to-Customer'의 거래중에서 인터넷을 통해 기업과 소비자가 상품과 서비스의 매매가 이루어지는 기업과 개인간의 거래인 'Business-to-Customer'거래라는 협의의 전자상거래 개념을 사용하였다. 전자상거래를 활성화하는데 있어서 작용하는 요인들에 관한 연구를 과거의 문헌연구들을 통해 관련요인을 찾아 체계적으로 분류, 정리하엿다. 그리고 이를 토대로 전자상거래 활성화를 위한 가장 기본적이고 중요한 독립변수로서 공급자 측면에서 네가지의 하위 요인(기술, 정보, 제품, 거래)을 가진 '서비스 품질(Service Quality)'과 고객 측면에서 네 가지의 하위 요인(구매습관, 생활양식, 전자상거래에 대한 지각, 인구통계적 요인)을 가진 '사용자 태도(Customer Atttitute)'를 선정함으로써 공급자와 소비자를 연결한 개념적인 모형을 제시하였다. 그리고 이러한 개념적인 서비스 품질가설과 사용자 측면에서 사용자 태도가설을 제시하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.37-43
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• 2003

본 연구에서는 전자상거래 관련 정보기술을 분류하고 체계화하는 대안을 제시 하고자 한다. 이것은 전자상거래 구현의 효율성과 효과성을 높일 수 있다는 점에서 의미가 있을 뿐만 아니라, 정보산업 관련 분야의 새로운 상품과 서비스시장의 창줄에도 많은 시사점을 줄 수가 있어 그 의의가 있다고 할 수 가 있다. 이를 위해 기존의 사례를 고찰해 봄으로써 기술체계 분류에 대한 유형을 분석하고 좀 더 융통성 있고 합리적인 전자상거래기술구조에 관한 창조모델 획득 방법의 아이디어를 탐색해 보고자 한다.

• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.17-28
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• 2001

The purpose of this study is to analyze logistics cost of transportation systems on EC(electronic commerce) between company and consumer. Transportation system in logistics is classified by three types on EC. The first type is the direct delivery from supply factory to consumers(type I). The second type is the delivery through distribution center in each area by owner logistics company (type II). The third type is the commission of delivery to the third party logistics company(type III). The logistics of EC has various service characteristics such as dealing with small quantity, various goods, and high frequency. This study assumes that all day's order is delivered on a next day. The logistics cost function is calculated according to the number of orders, delivery distance, transport quantify. and allocated freight trucks for daily order of the subject zone. The logistics cost changes according to the daily order characteristics. Therefore it is simulated to analyze the logistics cost change that considers the type of transportation's order characteristics. As a result of analysis, if the number of order is less than 10 and the quantify of each order is less than 10kg, type III has an advantage over the others And if the number of order is more than 10 and the quantity of each order is more than 10kg, type I has an advantage in the same zone and type II has an advantage in the other zones. This study is limited on the actual application because this study doesn't consider logistics infra of supply company and transport service time. If further study that considers these factors is implemented, it can estimate more accurate logistics cost on EC and propose an efficient freight transport alternatives to the company. This study attributes to estimate the logistics cost change over the frequency of daily order, the quantify of supply goods, and the transport distance on EC.

• The Journal of Bigdata
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• v.7 no.1
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• pp.213-224
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• 2022

In logistics and distribution, Market Basket Analysis (MBA) is used as an important means to analyze the correlation between major sales products and to increase internal operational efficiency. In particular, the results of market basket analysis are used as important reference data for decision-making processes such as product purchase prediction, product recommendation, and product display structure in stores. With the recent development of e-commerce, the number of items handled by a single distribution and logistics company has rapidly increased, And the existing analytical methods such as Apriori and FP-Growth have slowed down due to the exponential increase in the amount of calculation and applied to actual business. There is a limit to examining important association rules to overcome this limitation, In this study, at the Main-Category level, which is the highest classification system of products, the utility item set mining technique that can consider the sales volume of products together was used to first select a group of products mainly sold together. Then, at the sub-category level, the types of products sold together were identified using FP-Growth. By using this sequential layer filtering technique, it may be possible to reduce the unnecessary calculations and to find practically usable rules for enhancing the effectiveness and profitability.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.435-452
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• 2023

This study experimented with automatic classification of subject headings using BERT-based transfer learning model, and analyzed its performance. This study analyzed the classification performance according to the main class of KDC classification and the category type of subject headings. Six datasets were constructed from Korean national bibliographies based on the frequency of the assignments of subject headings, and titles were used as classification features. As a result, classification performance showed values of 0.6059 and 0.5626 on the micro F1 and macro F1 score, respectively, in the dataset (1,539,076 records) containing 3,506 subject headings. In addition, classification performance by the main class of KDC classification showed good performance in the class General works, Natural science, Technology and Language, and low performance in Religion and Arts. As for the performance by the category type of the subject headings, the categories of plant, legal name and product name showed high performance, whereas national treasure/treasure category showed low performance. In a large dataset, the ratio of subject headings that cannot be assigned increases, resulting in a decrease in final performance, and improvement is needed to increase classification performance for low-frequency subject headings.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.243-258
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• 2004

Building a domain-suited ontology, as a means to implement the Semantic Web, is widely believed to offer users the benefit of exploiting the semantic knowledge constrained in the application. Electronic Catalog, shortly e-Catalog, manages the information about the goods or conditions play an important role in e-commerce domain. Consequently, semantically enriched yet precise information by the ontology may elaborate the business transactions. In this paper, we analyze the semantic relationships embodied within the catalog domain, as the first step towards the ontological modeling of e-catalog. Exploring ontology should leverage not only the representation of semantic knowledge but also provide the inferencing capability for the model. We employ the EER(extended Entity Relationships) for the basic model. Each modeling construct can be directly translated by DL(Description Logics). Semantic constraints that can be hardly represented in EER are directly modeled in DL.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.79-99
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• 2010

As data exchange between business partners in e-business becomes more active, obtaining and managing reliable data is emerging as a pressing issue for corporations and organizations. For the resolution of data quality, this paper proposes a framework for data quality management with its scenario. The data quality management framework consists of three phases: data quality monitoring, data quality improvement and data application, each of which has three processes. In each process, necessity, functions, roles, and relationships among processes are specified. In order for users to directly apply the framework to the business field, a business scenario is given with examples of product identification and classification code systems widely used in e-business.

• Archives of design research
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• v.19 no.2 s.64
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• pp.139-150
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• 2006

The evaluation of art has been historically based on the thorough reliance on the subjectivity of beholders due to the fact that the production and appreciation of works of art is founded on the similar(subjective) value. There had been little attempt to reverse such tendency by creating an objective and quantitative checklist for evaluating a work of art. Centering on the evaluation of the Media Art, which increased dramatically in numbers since the late 1960s, this is an attempt in systematizing the quantitative evaluation of Media Art by reflecting the idea of subjective criticism as well as its medium specificity. As such, the criteria for the evaluation consist of media evaluation, work evaluation, appreciation evaluation, product evaluation and exhibition evaluation. The evaluators can be divided into the general public, the Media Art specialist and the curatorial staff, according to their experiences in dealing with the Media Art. Based on the result of the FGD, the weight has been added to the evaluation system according to each evaluation criteria to ensure the balance between the objective and subjective criticism.

• Korean Journal of Cognitive Science
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• v.10 no.1
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• pp.25-43
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• 1999

The focus of this study is on the elements of structure design that facilitate u user interaction with applications within cyberspace Structure design entails decisions regarding the optimal classification and hierarchical organization of information into s successively higher units. i.e .. the grouping of highly related information in the form of nodes of a site and the subsequent connection of nodes that are inter-related. The decisions are based on the designer's subjective classification framework. which is not always compatible with that of the user. We propose that the ensuing cognitive dissonance can be reduced via the employment of multiple hierarchies and cross-referencing links. Multiple hierarchies represent a single information space in terms of a number of single hierarchies. each of which represent a different perspective Cross-referencing refers to the inter-connection between the constituent hierarchies by providing a link to the alternate hierarchy for information that is most likely to be categorized in diverse manners by users with differing perspectives. In this study we conducted two empirical studies to gauge the effectiveness of multiple hierarchies and Cross-referencing links in the domain of cyber shopping malls. In the first phase. an experiment was conducted to determine how subjects classified given products with respect to two different perspectives for categorization. Experimental cyber malls were developed based on the results from the first phase to test the effectiveness of multiple hierarchies and cross-referencing links. Results show that the ease of navigation was higher for cyber malls that had implemented cross-referencing links are of greater value when used in conjunction with single hierarchical designs rather than multiple hierarchies. Users satisfaction with and ease of navigation was higher for cyber malls that had not implemented multiple hierarchies. This paper concludes with discussion of these results and their implications for designers of cyber malls.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.125-140
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• 2018

As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.