• Title/Summary/Keyword: E-Shopping mall

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Customer Personalized System of eCRM Using Web Log Mining and Rough Set

  • Lee, Jae-Hoon;Chung, Il-Yong;Lee, Sung-Joo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.29-32
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    • 2006
  • In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the users' access pattern to web site and their following purchasable items and improves their web pare on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning it employs Rough Set, which is a method that searches the association rule and offers most suitable cases by reduces cases. It reasons the web pages by considering the users' access pattern and time by using the web log and reasons the users' purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of users' web pages and displays the inferred goods on users' web pages.

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Establishing the Infrastructure for e-Commerce Advancement in Developing Country:Focusing on a Mongolian Case (개발도상국의 전자상거래 기반구축 방안: 몽골 사례를 중심으로)

  • Nergui, Munkhzul;Kim, Dong-Soo
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.255-266
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    • 2009
  • Recently, developing countries such as Mongolia are trying to establish Internet-based e-Commerce infrastructures. This paper aims to propose methods for establishing e-Commerce infrastructure in Mongolia where the usage rate of the Internet are growing. At first, current situation of e-Commerce in Mongolia has been analyzed. In addition, public opinion on this sector and consumer behavior have been researched in order to define the problems and issues. Government policies of the countries including Korea, where the level of e-Commerce development is high, were benchmarked and a strategic plan has been developed to resolve the issues. Finally, for the purpose of making e-Commerce widely adopted by Mongolian people, we have developed an Internet shopping mall which can solve the issues identified in this paper. It is expected that the results of this research could help the Government of Mongolia establish policies for supporting e-Commerce development.

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A Study on the Effects of Characteristic of Communication on Customer Relationship Development in e-Business - Focused on the Internet Shopping Mall - (e-비지니스의 고객관계 형성에 영향을 미치는 커뮤니케이션 특성에 관한 연구 - 인터넷 쇼핑몰을 중심으로 -)

  • Chung, Yoon;Hwang, Seok-Hae;Kim, Hyo-In
    • The KIPS Transactions:PartD
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    • v.9D no.4
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    • pp.733-744
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    • 2002
  • This paper propose a communication-based model of relationship marketing and study relationship development between e-business marketing and traditional marketing theory and then show the application of improved relationship marketing model in the e-business. Although e-business already has been an important area, there were so few studies on customer relationship management in e-business. Using the two aspects of communication process and effectiveness at which two precedent effect factors on the trust of customer relationship development and relationship commitment, this paper develop a communication-based model of internet marketing in th e-business.

A Study on E-mail Campaigns and Feedback Analysis as Marketing Tools of Internet Fashion Shopping Malls - With Focus on Specialized Fashion Shopping Malls - (인터넷 패션쇼핑몰의 이메일 마케팅 활용과 반응 - 패션 전문몰을 중심으로 -)

  • Han, Ji-Sook
    • Archives of design research
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    • v.19 no.2 s.64
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    • pp.53-62
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    • 2006
  • E-mail has indeed developed from 'a means of instant communication' to an indispensable part of online marketing. Therefore, companies need to implement consistent customer management. Communication with customers and marketing through e-mail is a powerful way of communication and adapting one-to-one marketing strategies to customer trends, habits and taste preferences. Since setting accurate targets is especially important in the fashion industry, e-mail marketing is the most effective way to communicate with customers and one-to-one marketing constitutes a very important strategy. In this study, I will analyze this powerful one-on-one marketing tool, particularly actual e-mail messages sent by an Internet Shopping Mall from June 12 to July 30, 2005, examine the effect of these messages on sales growth and analyze actual feedback received. Regarding e-mail read rates broken down by age and gender, 1 found that females in their late twenties recorded the highest rate at 21.66% and their contribution to sales growth was recorded at 3.5% From actual sales records, found that 28.10% of total sales were attributable to people in their late twenties, showing that the age group that reads e-mails the most also buys the most. Regarding feedback by e-mail title, e-mails from the 'Casual' category seemed to be the most effective, in that most of these e-mails were read. Also, messages sent on Tuesdays were read the most, according to the feedback analysis by weekday. Section e-mails were read more often than regular e-mails. Regarding the view rate according to the time e-mails were sent, messages sent to females in their late twenties at two o'clock in the afternoon were read by 20.93% of recipients, recording the highest read rate. By offering informative content and practical tips, visitors will be attracted to the site and generate site traffic. Therefore, we can conclude that sending e-mail messages can greatly contribute to sales growth and e-mail marketing is very effective. Also, in order to make e-mail campaigns more effective and improve marketing results, we need to analyze actual results and apply our findings in future e-mail campaigns. With this, we get successful marketing results.

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Effective Marketing Module to the Optimization of Consumer Information in Mid-small e-Commerce Shopping Mall (중소 전자상거래 기업의 소비자정보 최적화를 위한 효율적 마케팅 모듈: e-CRM 연동전략을 중심으로)

  • Kim, Yeon-Jeong
    • Journal of Global Scholars of Marketing Science
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    • v.14
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    • pp.125-144
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    • 2004
  • The purpose of this study is to classify customer bye-mailing responsiveness on time-series analysis and RFM module and testify the effectiveness of grouping by ROI analysis. RFM (Recency, Frequency, Monetary Value) analysis are used for customer classification that is fundamental process of e-CRM application. ROI analysis were consisted of open, click-through, duration time, conversion rate, personalization and e-mail loyalty index. Major findings are as follows; Customer segmentation were loyal customer, odds customer, dormant customer, secession customer and observation customer by Activity email module. And Loyal, dormant and secession customer are segregated by RFM module. Loyal customer group have higher point of all ROI index than other groups. These results indicated that customer responsiveness of e-mailing and RFM analysis were appropriate methods to grouping the customer. Mid-small Internet Biz adapted marketing strategy by optimization of consumer information.

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How eWOM Reduces Uncertainties in Decision-making Process: Using the Concept of Entropy in Information Theory (정보이론의 엔트로피 관점에서의 바라본 온라인 소비자 리뷰의 소비자 의사결정에 있어 불확실성 감소 효과)

  • Lee, Jung
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.241-256
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    • 2011
  • The present study examines the impact of eWOM on consumer decision making process by viewing eWOM as the product information supplier. We employ the concept of information entropy which was proposed in the information theory to explain different consumer responses to various types of product information in eWOM. Information entropy is the degree of uncertainty associated with the information in the message. In eWOM, a variety of information with different levels of entropy is available, and these different entropy levels result in different impacts on consumer behavior. The preliminary hypotheses are formulated to examine the impact of eWOM on consumer behavior, at the product attribute level and the purchase action level separately. An experiment was conducted to online shopping mall users and the analysis gives valuable insights into our future research.

Improving the Utilization and Efficiency of B2B Online Store using DEA (DEA를 이용한 B2B 온라인 쇼핑몰 상품관리 효율성 증대 방안)

  • Gu, Seung-Hwan;Park, Hyun-Ki;Jang, Seong Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.7
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    • pp.4237-4245
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    • 2014
  • In this study, products in a B2B online shopping mall were classified efficiently using DEA, and an operational process is presented. The results using the data of M company were used to calculate the workload according to the category. The work load of managing the product using the DEA has been distributed evenly. In addition, the classification of A is composed of the highest net income, and it was intended to be managed centrally by the company. Business classifications C and B, which were made of a low severity workload, were reduced. Therefore, efficient operation is possible when applied to an actual business.

A Study on the Performance Evaluation of G2B Procurement Process Innovation by Using MAS: Korea G2B KONEPS Case (멀티에이전트시스템(MAS)을 이용한 G2B 조달 프로세스 혁신의 효과평가에 관한 연구 : 나라장터 G2B사례)

  • Seo, Won-Jun;Lee, Dae-Cheor;Lim, Gyoo-Gun
    • Journal of Intelligence and Information Systems
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    • v.18 no.2
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    • pp.157-175
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    • 2012
  • It is difficult to evaluate the performance of process innovation of e-procurement which has large scale and complex processes. The existing evaluation methods for measuring the effects of process innovation have been mainly done with statistically quantitative methods by analyzing operational data or with qualitative methods by conducting surveys and interviews. However, these methods have some limitations to evaluate the effects because the performance evaluation of e-procurement process innovation should consider the interactions among participants who are active either directly or indirectly through the processes. This study considers the e-procurement process as a complex system and develops a simulation model based on MAS(Multi-Agent System) to evaluate the effects of e-procurement process innovation. Multi-agent based simulation allows observing interaction patterns of objects in virtual world through relationship among objects and their behavioral mechanism. Agent-based simulation is suitable especially for complex business problems. In this study, we used Netlogo Version 4.1.3 as a MAS simulation tool which was developed in Northwestern University. To do this, we developed a interaction model of agents in MAS environment. We defined process agents and task agents, and assigned their behavioral characteristics. The developed simulation model was applied to G2B system (KONEPS: Korea ON-line E-Procurement System) of Public Procurement Service (PPS) in Korea and used to evaluate the innovation effects of the G2B system. KONEPS is a successfully established e-procurement system started in the year 2002. KONEPS is a representative e-Procurement system which integrates characteristics of e-commerce into government for business procurement activities. KONEPS deserves the international recognition considering the annual transaction volume of 56 billion dollars, daily exchanges of electronic documents, users consisted of 121,000 suppliers and 37,000 public organizations, and the 4.5 billion dollars of cost saving. For the simulation, we analyzed the e-procurement of process of KONEPS into eight sub processes such as 'process 1: search products and acquisition of proposal', 'process 2 : review the methods of contracts and item features', 'process 3 : a notice of bid', 'process 4 : registration and confirmation of qualification', 'process 5 : bidding', 'process 6 : a screening test', 'process 7 : contracts', and 'process 8 : invoice and payment'. For the parameter settings of the agents behavior, we collected some data from the transactional database of PPS and some information by conducting a survey. The used data for the simulation are 'participants (government organizations, local government organizations and public institutions)', 'the number of bidding per year', 'the number of total contracts', 'the number of shopping mall transactions', 'the rate of contracts between bidding and shopping mall', 'the successful bidding ratio', and the estimated time for each process. The comparison was done for the difference of time consumption between 'before the innovation (As-was)' and 'after the innovation (As-is).' The results showed that there were productivity improvements in every eight sub processes. The decrease ratio of 'average number of task processing' was 92.7% and the decrease ratio of 'average time of task processing' was 95.4% in entire processes when we use G2B system comparing to the conventional method. Also, this study found that the process innovation effect will be enhanced if the task process related to the 'contract' can be improved. This study shows the usability and possibility of using MAS in process innovation evaluation and its modeling.

The Effect of Eating-Out Motives on Restaurant Attributes at Shopping Mall

  • Cha, Seong-Soo;Oanh, VU Thi Kim;Yu, Won-Jong
    • Journal of Distribution Science
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    • v.16 no.1
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    • pp.37-46
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    • 2018
  • Purpose - This study is to investigate the effects of consumption motives of restaurant customers on the perception of the importance of restaurant attributes, and to determine the influence of the consumption motives on the empirical and functional attributes between Vietnam and Korea. Research design, data, and methodology - Questionnaire items from previous studies were revised to fit the research purpose of the present study. From August 1 to August 25, 2017, questionnaires were simultaneously administered in Korea and Vietnam using both on-line and off-line survey methods (including SNS and e-mail). With 381 surveyed questionnaires in Vietnam(219) and Korea(162), this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic eating-out motive has more influence on the importance of empirical attribute than that of functional attribute in restaurant. In addition, utilitarian eating-out motive has more influence on functional attributes than empirical attributes. However, these relationships showed the difference between countries in Vietnam and Korea. As for in Korea, consumers' hedonic and utilitarian motives of eating-out were more influential on experimental and functional attributes. Conclusions - This study analyzed the influence on the importance of the eating-out motives of restaurant attributes and how this differed between Vietnamese and Korean.

A Study on the Influence of Korea Internet Shopping Mall's Customer Satisfaction Factor to Chinese Internet Shoppers (한국 인터넷 쇼핑몰의 고객만족요인이 중국 고객에 미치는 영향에 관한 연구)

  • Cui Ran Hong;Ma Heng Guo;Kim Chang-Eun
    • Journal of the Korea Safety Management & Science
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    • v.8 no.5
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    • pp.193-209
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    • 2006
  • Multiple regression is used to examine the relationship between a set of two or more independent variables and one dependent variable. It provides the information necessary to make predictions of the dependent variables based on several independent variables. To do so, the multiple regression equation is extended to: y=$a+{\beta}_1x_1+{\beta}_2x_2+{\ldots}+{\beta}_kx_k$ y=attractiveness a=the value of the intercept ${\beta}_1$=the slope(weighting) of the first variable ${\beta}_1$= the slope(weighting) of the second variable ${\beta}_k$=the slope of the $\kappa$th variable The resulting regression equation of this research is y=$a+{\beta}_1site's\;system+{\beta}_2customer\;satisfaction+{\beta}_3products+{\beta}_4delivery$ y=3.233+0.374(site's system)+0.268(customer satisfaction)+0.17(products)+0.077(delivery)