• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.21-36
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• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1238-1247
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• 2022

The e-commerce market is growing faster as demand for non-face-to-face shopping increases due to COVID-19. These changes lead to the expansion of various opportunities for consumers, but companies are required to understand consumer characteristics and reflect them in their sales strategies so that they can be competitive in the market. This study examined how the perceived ease and utility of consumers affect the intention to use the platform according to the technology acceptance model (TAM). As a result, it was confirmed that the price competitiveness, awareness, and ease of use of the platform had a significant effect on the utility. In addition, it was confirmed that there was no moderating effect of user characteristics on the effect of ease of use on the platform intention. These results present important implications for a company's sales strategy, and in future studies, it is necessary to expand the study in consideration of more diverse variables.

• Spatial Information Research
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• v.23 no.6
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• pp.57-66
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• 2015

Recently, the utilization of geospatial open platforms has been constantly increased and the interest in 3D geospatial data such as terrain, building and shopping mall has been increased significantly. In particular, rather than simplified 3D geospatial data, interest in high-precision 3D geospatial data which similarly represents the real world objects has increased significantly. In order to satisfy the demand for such the high-precision 3D geospatial data, various kinds of 3D geospatial open platforms has been developed and has provided services on the web. However, most of the 3D geospatial open platforms have been used plug-in module in order to ensure a fast 3D rendering performance on the web, despite the many problems such as difficulty of the installation, no supporting of cross browser/operating system and security issues. In addition, recently, the existing 3D geospatial open platforms based on plug-in module are facing a serious problem, by declaring the NPAPI service interruption in Chrome and Firefox browsers. In this study, we presents the design and implementation of a new 3D geospatial open platform based on HTML5/WebGL technology without the use of plug-ins. Such the new 3D geospatial open platform based on HTML5/WebGL may support cross browsers such as IE, Chrome, Firefox, Safari and cross OS platforms such as Windows, Linux, Mac and mobile OS platforms.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.187-189
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• 2005

인터넷 및 분산 환경에서 XML은 애플리케이션 간의 자료 저장 및 자료 교환을 위한 표준으로써, XML 문에 대한 연구가 활발히 진행되고 있다. 따라서 이기종 관계형 데이터베이스 시스템들 간의 메타데이터 및 데이터 교환을 위해 W3C에서 제안한 XML Schema를 사용한다. XML Schema는 평면적 구조인 관계형 데이터베이스 시스템의 메타데이터 및 데이터를 계층적 구조인 XML 문서형식으로 나타낼 수 있는 메커니즘을 가지고 있으며, 다양한 원시 데이터 형식을 지원하여 관계형 데이터베이스 시스템이 제공하는 데이터형식을 충분히 반영할 수 있는 구조를 가지고 있다. 또한 기존의 이질적인 전자상거래 플랫폼을 사용하므로 인해 발생하는 시스템간의 상호 호환 및 운영의 어려움이 있다. 그러나 분산 환경에서 이질적인 특성을 해결하기 위해서 XML을 기반으로 하는 쇼핑몰들의 통합된 정보를 검색할 수 있는 사이트가 등장하고 있어 고객들이 구매하고자 하는 상품에 대한 정보를 보다 쉽게 검색할 수 있도록 각종 쇼핑몰 사이트를 연결하여 통합하는 과정이 진행 중이다. 따라서 상품을 검색할 때 메타데이터를 이용하여 선택에 필요한 정보를 고객에게 제공함으로서 상품을 효율적으로 검색할 수 있다. 따라서 XML기반으로 분산된 이 기증의 시스템들을 온톨로지(Ontology)기반의 메타데이터를 이용하여 상품을 검색할 수 있는 시스템을 제안하고, 온톨로지 기반의 메타데이터 XMDR(eXtended MetaData Registry)을 이용한 상품 검색 시스템을 효율적으로 검색하기 위한 온톨로지 서버 구축에 관한 방법을 제안한다.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.145-157
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• 2018

The social curation service that selectively provides information generated by individuals or groups with the same interests can have a synergistic effect when combined with the recently used SNS-based chatting function. If these kinds of chatting-based curation technologies are applied to the Internet shopping malls, particularly, buyers can obtain more reliable information in real time basis, and sellers can provide them with more differentiated and rich information in a continuous manner. This research suggests a chatting-based commerce platform that provides the social curation service based on chats among sellers, existing buyers, and potential buyers. The proposed commerce platform can organize a chat channel for each store and product not only to immediately respond to new and existing customer inquiries about stores, brands, and detailed products, but also to continuously activate differentiated sales strategies to customers subscribed to the channel. In particular, MongoDB is used to permanently save and archive the information and chatting history of each channel, so that the buyer can search and refer to them recorded in the corresponding channel at any time.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.2
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• pp.206-218
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• 2002

In this paper, we design and implement a system that presents a method for selecting and providing personalized services independently without unifying the existing system platform with shopping malls joined in the hub site. This system provides a mechanism for gathering information left behind by many clients visiting Web sites for analysis of customers property, vector model for selecting personalized services, and mechanism for providing them to customers who visited in a shopping mall joined to the hub site. In a position of shopping mall site, this kind of personalization system can provide target advertisement, point marketing, and point share service etc. without changing existing shopping mall's environment through wrapper web server. Hub site customers can get personalized services from many shopping mall sites with only once registration for the hub site.

• Journal of Korea Spatial Information System Society
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• v.11 no.4
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• pp.47-55
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• 2009

As the wireless internet technology such as mobile phone, WIBRO, HSDPA develops, customized location-based services for traffic, tourism, shopping, and emergency relief has lately attracted attention. For giving customized services. we should consider dynamic characteristics of moving object which continuously change their location. In this paper, we define the context trigger type of moving object and design triggering method for processing context generated by moving object. Also we propose location-based push service platform including context trigger of moving object for supporting location-based information to user. The proposed system gathers moving object stream from the terminal based on MS-assisted or Stand-alone positioning mode of embedded GPS in terminal extract user context by user device agent, and send context information to server.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.23-30
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• 2021

Various customizing services are also being introduced in the fashion industry in line with the diversification of consumer tastes and the demand for small production of multiple varieties. However, barriers to entry are high for consumers who are not customized, and various functions are rather complicated. This study selected the three platforms that provide the most similar services to Marple, the No. 1 fashion platform sales, as comparative models and used them as a basic study for web-based fashion customization platform design through case analysis. As a research method, theoretical examinations were conducted through literature surveys, followed by web analysis based on layout, menu, color, icon, and interaction. The study found that the placement of options, the composition of menu windows, the number of point colors, and the use of icons without functions of metaphores hindered the use of customizing platforms. This work proposes a solution, and aims to contribute to increasing the usability of future customizing web by comprehensively analyzing the visual shaping elements of web platform design.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.227-245
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• 2023

As offline company and online·mobile startups meet in an untact shopping environment, competition among companies in untact shopping is increasing. In this situation, companies need their own clear strategy to create customer value. In particular, it is very important to focus on 'customer experience' to establish such a strategy in an untact shopping environment. Customer experience refers to all processes in which consumers meet and experience a company or brand at a touch point. In this processes consumers decide whether to continue to use the company and brand. In this situation, it is thought that it will be meaningful for research to examine the customer experience of untact shopping. Therefore, this study aimed to examine the customer experience of untact shopping, which is used by all generations after COVID-19, through experience quality, and to examine the impact on the expectation-confirmation Model of untact shopping. The results of this study are as follows. First, as a result of examining whether interaction quality, information quality, and outcome quality affect expectation-confirmation it was found that all qualities except interaction quality affect expectation matching. Second, as a result of examining whether interaction quality, information quality, and outcome quality affect perceived usefulness, it was found that all qualities except interaction quality had an effect. Next, as a result of applying the expectation confirmation model to the untact shopping environment and examining whether the expectation confirmation has an effect on use satisfaction, it was found that there was a positive effect. As a result of examining whether perceived usefulness affects use satisfaction, it was found to have a positive effect. As a result of examining whether perceived usefulness affects expectation confirmation, it was found that there is a positive effect. Finally, as a result of examining whether perceived usefulness affects the intention to continue using untact shopping, it was found to be positive. Next, as a result of examining the effect of use satisfaction on trust, it was found that there was a positive effect. Finally, as a result of investigating whether trust has an effect on the intention to continue using, it was found that there is a positive effect. Looking at the important results especially, information quality was found to have the greatest influence.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.201-213
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• 2022

This study attempted to identify the influencing factors of Taobao Online Live Commerce influencer's attributes on Taobao Live Platform users' post-purchase satisfaction, repurchase intention and flow, and addiction. Through previous studies, researchers set the live commerce influencer attributes into four categories: expertise, attractiveness, interactivity, and aesthetics, and examined the effects of these attributes on consumers' repurchase intentions, flow and addiction. As a result of the study, it was confirmed that among the attributes of Live Commerce influencer, professionalism, interactivity, and aesthetics had a significant effect on the utilitarian shopping value in consumer satisfaction, and four attributes, including attractiveness, had a positive effect on the hedonic shopping value. In consumer satisfaction, hedonic shopping value had a positive effect on utilitarian shopping value satisfaction. In addition, it was found that consumers' satisfaction after purchase affects repurchase intention and immersion. The effect of flow on repurchase intention and addiction was also confirmed. It is hoped that this study will help revitalize influencer marketing in the growing live commerce market and provide basic data to contribute to establishing marketing strategies.