• International Commerce and Information Review
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• v.1 no.1
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• pp.179-201
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• 1999

CALS/EC is about doing business electronically. It is based on the electronic processing and transmission of data, including text, sound and video. It encompasses many diverse activities including electronic trading of goods and services, online delivery of digital content, electronic fund transfers, electronic share trading, electronic bills of lading, commercial auctions, collaborative design and engineering, online sourcing, public procuremet, direct consumer marketing, and after-sales service. It involves both products(e.g. consumer goods, specialised medical equipment) and services(e.g. information services, financial and legal services); traditional activities(e.g. healthcare, education) and new activities (e.g. virtual malls). CALS/EC will be emerging to replace and substitute the role of the conventional market. By changing and eliminating some processes of the transactions, the electronic market and the electronic commerce will redistribute the power and hence the benefits of the market activities. Traditional way of doing business may enter into the new electronic market because the role and function of trust and established reputation will be reinforced in the electronic market. The CALS/EC through the Internet has been in the spotlight in the shopping behavior of the consumers. Accordingly Corporates are trying to adapt themselves to those rapidly changing environments being affected by the Internet. Among others, particularly to be noted is the CALS/EC between corporations and consumers whose potential growth can be considered very substantial. This report, focusing on the introduction of CALS/EC for the logistics of SMEs, will allow us to prepare more efficiently for the coming 21st Century. It is obvious that CALS/EC is fast becoming the useful way of exchanging not only information but products in business between firm-to-firm and firm-to-customer.

• The Korean Journal of Pesticide Science
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• v.19 no.1
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• pp.22-31
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• 2015

This study was carried out to monitor the current status of pesticide residues in selling agricultural products via online and assessed their safety in 2014. A total of 124 samples were purchased six times from March to August 2014 twenty online shopping malls randomly. These samples were analysed 208 pesticides by multiresidue method using a GC-ECD/NPD and a LC-MS/MS and confirmed by a GC-MSD. As a result of analysis, residual pesticides samples were 11 (8.9%) such as leek, young radish, welsh onion etc, of which 2 samples (1.6%) such as sesame bud (Chlorothalonil), artemisia (Chlorpyrifos) were violated Korea Maximum Residue limits (MRLs). 11 kinds of pesticides (19 times) were detected in 11 samples. Risk assessment evaluated human health exposure with the ratio of EDI (Estimated daily intake) to ADI (Acceptable daily intake) of pesticides detected. %ADI (the ratios of EDI to ADI) were 0.04~95.70% and some samples represented a fairly dangerous levels. In particular, Chlorothalonil in the sesame bud was shown as a significant risk close to 100% of %ADI. Accordingly, it is recommended to strengthen a safety check on agricultural products in online sales.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.105-112
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• 2021

Unlike conventional online shopping malls that handle simple product sales, customization services have to be provided with a user-centered and smooth customizable work environment because of differences that buyers have to customize themselves. To study the ease of use of T-shirt customization web GUI, three websites that provide T-shirt customization services were selected to analyze the current status of T-shirt customization websites. Through prior research, we establish the evaluation principle as consistency and clarity, operability, feedback, coping with errors, sharing and ease of search. Based on this, the T-shirt customization web GUI design guidelines were drafted and three delphi surveys were conducted on GUI-related experts to prove the validity of the web GUI guidelines evaluation items that are effective in customizing T-shirts. This study is expected to contribute to increasing the production and usability of the T-shirt customization web and to be used as an effective reference for customization web GUI design.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.13-23
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• 2022

In this paper, we propose a detailed component image classification algorithm by fashion item for unstructured data retrieval in the fashion field. Due to the COVID-19 environment, AI-based online shopping malls are increasing recently. However, there is a limit to accurate unstructured data search with existing keyword search and personalized style recommendations based on user surfing behavior. In this study, pre-processing using Mask R-CNN was conducted using images crawled from online shopping sites and then classified components for each fashion item through CNN. We obtain the accuaracy for collar of the shirt's as 93.28%, the pattern of the shirt as 98.10%, the 3 classese fit of the jeans as 91.73%, And, we further obtained one for the 4 classes fit of jeans as 81.59% and the color of the jeans as 93.91%. At the results for the decorated items, we also obtained the accuract of the washing of the jeans as 91.20% and the demage of jeans accuaracy as 92.96%.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.

• Journal of Distribution Science
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• v.12 no.12
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• pp.55-63
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• 2014

Purpose - In urban regeneration projects, considerations for rejuvenating traditional public markets are becoming increasingly important. That is because the traditional market is not just a commercial space but also a living center for local people's existence. Cultural contents like these are invaluable assets in the contemporary economy. However, traditional markets are gradually declining because of changes in distribution systems and consumer lifestyles. New distribution systems such as modern distribution markets, home shopping, and online shopping malls made traditional markets less competitive. Further, traditional markets have not been able to adapt to the changing consumption styles of younger generations. Some say that it is a natural phenomenon that cannot be stopped. However, traditional markets are not just another distribution system but also a valuable resource that encapsulates the local people's tradition and history. Thus, a revitalization strategy for traditional public markets has become an urgent task in contemporary urban regeneration projects. This study aimed to find ways to activate traditional public markets by making it a community landmark based on visual merchandising perspectives. Research design and methodology - This study focused on analyzing Granville Island (Vancouver, Canada) as a role-model project for rejuvenating the traditional market. It investigated Granville Island both with walk-through evaluation and literature reviews. Results - We found that it has been developed not only to improve visual aspects, but also to promote cultural contents with high value added. For example, the developers maintained the visual elements that tell the original history of the site as an industrial factory. The renewal project had a balance between improving the outer look and creating attractive contents. The following are the merits of Granville Island that Korean traditional markets should note. First, they kept the whole area clean and hygienic. Second, merchants are well educated, business-savvy, and consumer-oriented. Third, the area's total environmental designs were done by professionals of a high caliber. Fourth, the city government and the merchants'association were collaborating well in their efforts to accommodate the changing needs of consumers. Conclusions - This study made the following suggestions as a conclusion. First, it will be a very powerful tool to rejuvenate the traditional market if we can discover unique cultural resources and develop them as cultural products, experiences, and events. Consumers of the 21st century have a strong tendency to consume not only material products, but also the experiences and memories attached to them. Second, in order to maintain the unique characteristics of traditional markets, fostering the viability of the merchants' association and local residents' society would be essential. Third, it is necessary to make the traditional market into a cultural place not only for the shopping patronage of local residents, but also for attracting tourists to increase sales. Finally, professional management and design approaches are needed in order to make the traditional market a pleasant space from a visual merchandising standpoint.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.93-98
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• 2010

In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.1-13
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• 2004

This paper presents a method for the multilingual product retrieval agent through XML and the semantic networks in e-commerce. Retrieval for products is an important process, since it represents interfaces of the customer contact to the e-commerce. Keyword-based retrieval is efficient as long as the product information is structured and organized. But when the product information is expressed across many online shopping malls, especially when it is expressed in different languages with cultural backgrounds, buyers' product retrieval needs language translation with ambiguities resolved in a specific context. This paper presents a RDF modeling case that resolves semantic problems in the representation of product information and across the boundaries of language domains. With adoption of UNSPSC code system, this paper designs and implements an architecture for the multilingual product retrieval agents. The architecture is based on the central repository model of product catalog management with distributed updating processes. It also includes the perspectives of buyers and suppliers. And the consistency and version management of product information are controlled by UNSPSC code system. The multilingual product names are resolved by semantic networks, thesaurus and ontology dictionary for product names.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.89-104
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• 2007

This research attempts to give a personalized recommendation framework in large-sized music contents environment. Despite of existing studios and commercial contents for recommendation systems, large online shopping malls are still looking for a recommendation system that can serve personalized recommendation and handle large data in real-time. This research utilizes data mining technologies and new pattern matching algorithm. A clustering technique is used to get dynamic user segmentations using user preference to contents categories. Then a sequential pattern mining technique is used to extract contents access patterns in the user segmentations. And the recommendation is given by our recommendation algorithm using user contents preference history and contents access patterns of the segment. In the framework, preprocessing and data transformation and transition are implemented on DBMS. The proposed system is implemented to show that the framework is feasible. In the experiment using real-world large data, personalized recommendation is given in almost real-time and shows acceptable correctness.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.222-226
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• 2010

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through these reviews. However, since online shopping malls do not provide ranking results, it is not easy for users to read all the relevant review documents effectively. Product reviews include subjective and emotional opinions. Thus, the review search is different from the general web search in terms of ranking strategy. In this paper, we propose an effective method of ranking the reviews that can reflect user's intention by using opinion mining techniques. The proposed method analyzes product reviews with query words, and sentimental polarity of subjective opinions. Through diverse experiments, we show that our proposed method outperforms conventional ones.