• Journal of Korean Society for Quality Management
• /
• v.28 no.3
• /
• pp.133-144
• /
• 2000

Many organizations have developed their own information systems not only for internal efficiency but also for effectiveness of external customer services. One of the most effective service tools for their customers is the use of information technology. The web technology is rapidly becoming one of the most effective tools for online customer services. In order to gain competitive edge, organizations must have effective web site planning methods for their customer service. A study on traditional information systems planning methodologies has been conducted and they are compared with web site planning techniques. Cases of web sites in order to Improve customer relationship are analyzed. finally, a new conceptual framework for web site planning strategy for e-CRM is proposed in this paper. In order to support effective web site planning, online customer contact points and online service activities are defined and classified as several stages. And, web site strategies corresponding to each customer service activities are developed and proposed, With this framework, organizations can build competitive web strategies for improving their online customer relationships, thereby increasing customer satisfaction.

• Journal of Intelligence and Information Systems
• /
• v.9 no.2
• /
• pp.121-133
• /
• 2003

Due to the rapid growth of Internet, means of communication with customers in a traditional customer support environment such as telephone calls are being replaced by mainly e-mail in a Web-based customer support system. Although such a Web-based support is efficient and promises potential benefits for firms, including reduced transaction costs, reduced time, and high quality of support, there are some difficulties associated with responding to many types of customer's inbound e-mails appropriately. As many types of e-mail are received, considerable attention is being paid to methods for increasing the efficiency of managing and responding e-mails. This research proposes an intelligent system for managing customer's inbound e-mails in organizations by applying case based reasoning technique for responding to various customers' inbound e-mails more effectively. In this approach, a case is represented as a frame-typed data structure corresponding to an inbound e-mail, keywords, and its reply e-mail. In the retrieval procedure, keywords and affinity set is developed to index a case, and then the case is represented as a vector, a case vector. Also, cosines value is calculated to measure the similarity between a new inbound e-mail and the cases in the case base. In the adaptation procedure, we provide several adaptation strategies to adapt and modify the retrieved case. The strategies guide to make an outbound e-mail using product databases, databases for customer support, etc. Additionally, the Web-based system architecture is proposed to implement our methodology. The proposed methodology and system will be helpful for developing more efficient Web-based customer support.

• Asia pacific journal of information systems
• /
• v.23 no.4
• /
• pp.85-102
• /
• 2013

This study proposes a web presence readiness model based on pre-payment service functions and a post-payment service function both of which embrace the major concerns of customers in the online purchasing context. Based on the concept of customer utility from the product itself and instrumental utility, the research model suggests four antecedents including, Perceived Economic Benefits, Product Search Support Quality, e-Shopping Method Diversity, and Post-Payment Support Quality. We empirically examined a proposed research model using data collected from online rating company websites. Among the four antecedents, post payment support quality is found to be the most influential determinant of customer evaluation on e-commerce websites. Based on the empirical results, the current study proposes an alternate model of web presence readiness. The findings of this study may provide an insight to field practitioners designing commercial websites. The implications and future research directions are further discussed.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.28 no.3
• /
• pp.135-148
• /
• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.29 no.1
• /
• pp.125-134
• /
• 2006

QFD(Quality Function Deployment) is a system for translating specific customer needs into detailed product requirements which are deployed throughout design, production, marketing and support operations. QFD is a team tool. However, most of commercial QFD softwares are standalone and therefore offer limited support for teamwork. In this paper, we developed a web-based QFD software to overcome many of the limitations that standalone systems suffer from. That is, this software was developed for synchronizing collaboration between team members distributed not only geographically but also over time. This software was developed by using Visual studio.NET and Microsoft COM+(CBD) technique and can be implemented on the web browser.

• IE interfaces
• /
• v.15 no.2
• /
• pp.172-181
• /
• 2002

Customer satisfaction is undoubtedly one of the top strategic issues in the new decade. Today, many organizations are rushing to become more customer focused. A key component of many initiatives is the implementation of customer satisfaction software. In this paper, we provide a case study for customer satisfaction management in a city gas company. The three issues include the plan for giving premiums and the development of a happycall system and a web-based measurement system for customer satisfaction.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.05a
• /
• pp.265-268
• /
• 2003

본 논문은 고객의 관리 및 서비스의 중요성이 강조되고 기존의 마케팅 방법들이 온라인을 기반으로 한 고객 마케팅으로 바뀌는 경향에 따라 고객의 만족도를 반영한 고객지원시스템을 제안한다. 고객의 제품사용 능력을 향상시키기 위하여 고객을 수준에 따라 분류하여 수준별 학습에 따른 정보서비스를 제공함으로써 비즈니스 퍼포먼스를 향상시키는 방법을 제안하였다. 또한 전문가에 의해 검증된 지식을 각 항목의 제품평가 기준으로 설정하고 삼각퍼지 수에 의한 컨텐츠만족도 평가를 통해 고객 의사의 반영비율을 알 수 있다. 따라서 본 논문에서 제안한 고객중심의 지원시스템은 고객관리 및 서비스지원부문에 활용 쥘 수 있을 것이다.

• Journal of the Korean Society for information Management
• /
• v.17 no.3
• /
• pp.7-20
• /
• 2000

Many organizations have developed their own information systems not only for internal efficiency but also for effectiveness of external customer services. The infusion of powerful information networks into business environments is beginning to have a profound impact on the nature of governance between buyers and sellers in the market place. One of the most effective service tools for their customers is the use of information technology. The web technology is rapidly becoming one of the most effective online customer service tools toward strategic competitive advantage. In order to gain competitive edge, organizations must have effective web sites for customer services. A study on web service development phase has been conducted and present states of web usages by Korean, US., Japanese companies are surveyed. Cases of business web sites are empirically analyzed in order to compare the different levels of web site application in three countries. Conclusively, countries with longer experience with internet has more advanced level of web application such as business transaction and internet process innovation. In order to support effective web site planning, organizations have to understand their current position in Internet application and form strategies for e-business.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.1
• /
• pp.133-140
• /
• 2011

For both customers and companies, it is very important to analyze online customer reviews, which consist of small documents that include opinions or experiences about products or services, because the customers can get good informations and the companies can establish good marketing strategies. In this paper, we propose the association model for the opinion mining which can analyze customer opinions posted on web. The association model is to modify the association rules mining model in data mining in order to apply efficiently and effectively the association mining techniques to the opinion mining. We designed and implemented the opinion mining systems based on the modified association model and the grouping idea which would enable it to generate significant rules more.

• Asia pacific journal of information systems
• /
• v.9 no.4
• /
• pp.107-124
• /
• 1999

This paper describes a personalized advertisement technique as a part of intelligent customer services in Internet shopping malls. Based on customers' initial profile, purchase history, and behaviors in an Internet shopping mall, the technique displays appropriate advertisements on Internet web pages when customers' visit to the shopping mall. Customers preference scores for product groups which are main sources to select advertisements, are stored either a preference table or preference trees. Both of the two storage methods can support selection of advertisements on real time, and the preference tree method can reflect affinity among product groups. The suggested technique selects different advertisements to reflect changes of customers preferences as time goes by. An experiment has been performed to evaluate the effectiveness of the algorithm, which revealed that the algorithm selects more customer-oriented advertisements rather than random selection.