• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.2
• /
• pp.87-97
• /
• 2020

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.29 no.2
• /
• pp.83-91
• /
• 2006

Internet shopping mall has become a huge distribution channel with dramatic growth in recent years. The number of consumers has exponentially increased as the scale of shopping mall has been large so that shopping malls with thousands or millions of consumers become a general case. However, it is essential to evaluate whether current assortment of consumers is proper or not in the strategic aspect in order to operate Internet shopping mall effectively and gain profits. That is, it is important to evaluate whether consumer strategy of corporation is proper or not from the corporation. Despite this business importance, consumer assortment has not been evaluated well and related study is not sufficient. This study supposes a framework for consumer assortment evaluation, which evaluates whether consumer assortment of Internet shopping mall is proper or not. In the framework for consumer assortment evaluation, analysis data based on order data and consumer data in database is made. Then, four factors, consumer maintenance rate, consumer profitability, consumer securing rate and consumer conversion are setup, and 22 measurement indexes are drawn. Finally, a consumer assortment evaluation score card is made by integrating them. This study has applied a supposed framework to a domestic typical community based shopping mall, and it is expected that the evaluation result will be used as informant strategic information to operate the shopping mall effectively.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
• /
• v.1 no.2
• /
• pp.107-115
• /
• 2002

최근 정부(정보통신부)는 사이버 아파트를 포함하여 초고속 정보통신망을 2005년까지 구축하여 각 가정당 10Mbps의 고속 정보통신 서비스를 실현한다는 계획을 발표하고, 초고속 정보통신을 활성화하므로 정보통신 선진국 진입을 위하여 "초고속 정보통신 건물 인증제도"를 발표, 현재 시행하고 있다. (1999.7 제정발표) 그러나 시행 과정에서 아파트 중앙 관리실에 있는 MDF 이후의 광케이블과 기타 공사는 건설회사에서 시공하고 중앙 관리실 MDF 이전의 광케이블 공사와 중앙관리실 LAN시설 등의 공사는 통신 전문업체로 하여금, 입주자 별도 부담금으로 시공하고 있다. (컨소시엄 구성) 최근 아파트 분양열기 고조로 건설회사 마다 "초고속 정보통신 아파트"인증 1등급이라고 선전 및 분양광고 중인데 실제는 "1등급"이 아니고 "2등급" 또는 "3등급"인 경우가 있어, 정부가 목표하는 각 가정당 10Mbps, 개인당 2Mbps 고속정보통신 서비스는 실현성에 문제점이 있다. 정부의 인증심사 기준에 중앙관리실 장비 등에 대한 것은 심사기준에 누락되어 있고 또 사생활 정보보호를 위한 대응기술, 시스템 준비 정도까지 포함하여 종합적으로 평가한 뒤 인증을 부여하여야 한다는 것이 본인의 연구 초점이다. 사이버 아파트란 광통신을 주축으로 영상과 음성, 데이터를 자유자재로 전송 처리하는 초고속정보통신망을 이용하는 것으로 LAN 장비를 이용하여 각 세대간 통신은 물론 누구나 인터넷을 사용할 수 있는 기능이 있는 설계된 아파트를 말한다. 사이버 아파트의 네트워크에는 금융, 홈쇼핑, 예약, 지역정보, 관공서, 의료서비스, 레저 생활정보 등 차별화된 콘텐츠 확보가 필요하다. 본 연구의 핵심은 사이버 아파트의 현 실태와 문제점, 정부의 인증심사 기준의 미비점과 문제점, 사이버 아파트의 기능, 구성요소, 시스템 구축, 서버활용도, 장비들에 관한 것과 그리고 정부의 사이버 아파트 육성정책, 정보보호 대책과 관련업체들의 동향 등을 연구하여 요약 정리하였다.

• Broadcasting and Media Magazine
• /
• v.11 no.4
• /
• pp.118-131
• /
• 2006

With rapid development in ultra fast communication and digital multimedia, the realistic broadcasting technology, that can stimulate five human senses beyond the conventional audio-visual service is emerging as a new generation broadcasting technology. In this paper, we introduce a haptic broadcasting system and related core system and component techniques by which we can 'touch and feel' objects in an audio-visual scene. The system is composed of haptic media acquisition and creation, contents authoring, in the haptic broadcasting, the haptic media can be 3-D geometry, dynamic properties, haptic surface properties, movement, tactile information to enable active touch and manipulation and passive movement following and tactile effects. In the proposed system, active haptic exploration and manipulation of a 3-D mesh, active haptic exploration of depth video, passive kinesthetic interaction, and passive tactile interaction can be provided as potential haptic interaction scenarios and a home shopping, a movie with tactile effects, and conducting education scenarios are produced to show the feasibility of the proposed system.

• Journal of Internet of Things and Convergence
• /
• v.2 no.2
• /
• pp.21-26
• /
• 2016

In this paper, it is possible to update the tourist information in real time, on/off-line tour proposes a solution(BBTS) based on a bluetooth beacon can provide tourist information without the need for wireless data network. BBTS consists of a bluetooth based data of the low-power supply system and the beacons and interoperable smart applications. Data supply system consists of the BLE & Beacon Pairing-based / non-pairing data transmission module with integral hardware. Smart application modules that provide indoor location of users information, internal server module and tourist information collection and information guide around comprised of applications. The proposed BBTS is possible that indoor service tourism tourist demand due to utilizing the beacon technology. Outdoor tourist information is designed to be downloaded to the smartphone receives the information received from the beacon APK file to provide services. BBTS system is expected to make a big impact on the smart tourism services industry.

• The Journal of the Korea Contents Association
• /
• v.18 no.11
• /
• pp.475-483
• /
• 2018

Most of logistics system has difficulties in transportation logistics tracking due to problems in real world such as discordance between logistics information and logistics flow. For the solution to these problems, through case study about corporation, suppliers that transport order items in shopping mall, we retain traceability of order items through accordance between logistics and information flow and derive transportation logistics tracking model. Through literature review, we selected permissioned public block chain model as reference model which is suitable for transportation logistics tracking model. We compared, analyzed and evaluated using centralized model and block chain as application model for transportation logistics tracking model. In this paper we proposed transportation logistics tracking model which integrated with logistics system in real world. It can be utilized for tracking and detection model and also as a tool for marketing.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.11
• /
• pp.151-157
• /
• 2017

Recently, the retail industry has created efficient store operations, and has differentiated customer service through the future store. The intelligence of these stores is being applied by using technologies such as the Internet of Things (IoT), and the business process is being improved through this. The process also focuses on efficient store operations and service developments to provide customers with shopping convenience. The change in trends in the industry means that domestic distribution has already reached maturity. Even in countries where retail industries are mature, such as the U.S. and Europe, recent trends are moving toward maximizing operational efficiency and customer service. The reason is that many retailers have already reached saturation and survived the competition. This paper is a study of a drive-through service for automation and efficiency in receiving service after ordering by a customer of the distribution store. When ordering a product being purchased by a customer, the product picking process is done in a timely fashion through a picking scheduling agent. When the customer enters the store parking lot, a service supports the entry of information and finding a parking place so the customer can quickly pick up the goods. The proposed service can be applied to a retail store drive-through system, the distribution store's delivery system, the digital picking system, and indoor/outdoor large parking management systems, and it is possible to provide one-dimensional customer service through the application of IoT technology.

• Journal of Intelligence and Information Systems
• /
• v.23 no.1
• /
• pp.127-141
• /
• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.3
• /
• pp.11-21
• /
• 2010

To aim at improving performance and reflecting user's needs of retrieval, the number of researches has been actively conducted in recent year as the quantity of information and generation of the web pages exceedingly increase. One of alternative approaches can be a tagging system. It makes users be able to provide a representation of metadata including writings, pictures, and movies etc. called tag and be convenient in use of retrieval of internet resources. Tags similar to keywords play a critical role in maintaining target pages. However, they still needs time consuming labors to annotate tags, which sometimes are found to be a hinderance caused by overuse of tagging. In this paper, we present an automatic tagging scheme for a solution of current tagging system conveying drawbacks and inconveniences. To realize the approach, face recognition-based tagging system on SNS is proposed by building a face area detection procedure, linear-based classification and boosting algorithm. The proposed novel approach of tagging service can increase possibilities that utilized SNS more efficiently. Experimental results and performance analysis are shown as well.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.6
• /
• pp.163-172
• /
• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.