• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.363-368
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• 2002

Electronic commerce system must provide information satisfying customers. To do this, many kinds of studies are being advanced actively about electronic commerce support system using intelligent agent technology. This paper suggests electronic commerce system using intelligent multi agent based on Case base and Log analysis. This system can provide suitable information to customers by using knowledge and traffic and system information analysis.

• Annual Conference of KIPS
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• 2000.04a
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• pp.846-851
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• 2000

4-state 바코드의 정보는 우편번호, 배달순서코드, 고객 정보 등을 수록되며, 판독율 향상을 위한 오류정정 코드워드를 적용할 수 있다. 이 4-state 바코드는 우편물 자동구분처리의 효율화 및 우편물류의 정보표현, 전달, 처리를 효율적으로 지원되도록 개발하고 있다. 본 논문은 우편물 접수 및 처리과정에서 필요로 하는 4-state 고객 바코드 인쇄규격 검증 및 판독시스템 개발에 관한 것으로 4개의 높이로 구성된 바들의 특성과 바의 두께 및 공간 값이 균일한 간격으로 바가 인쇄되는 특징을 고려하여 Laser Diode 배열방법을 적용하였다. 또한, 우편물을 자동으로 이송시키고, 일정한 영역에 배열한 Laser Diode에 의하여 바의 두께, 공간, 높이 값을 정확하게 판독될 수 있도록 한 것이다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.93-103
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• 2006

소비자의 하이테크 서비스 가입 이후 행태를 살펴보면, 가입자들은 서비스를 실제로 사용하기도 전에 가입 해지결정을 내리기도 한다. 최근 미국의 기간통신회사에서 출시된 인터넷전화 서비스의 경우, 출시 후 1년 반 동안 이탈한 고객 중 무려 60%정도가 서비스를 실제로 사용하기 전 상태인 네트워크 및 시스템이 준비되는 동안이나 소비자가 가정에서 전화기 연결용 어댑터를 설치하는 단계에서 이탈한 것으로 나타났다. 이와 같은 가입초기 고객의 이탈은 기업에게 고객획득과정에서 지출된 마케팅비용의 손실 및 미래의 매출감소뿐만 아니라, 기 가입자를 통한 미래의 가입 희망자에게 미칠 수 있는 긍정적 구전효과와 같은 간접효과에 대한 손실을 의미한다. 하지만 하이테크 서비스에 대한 소비자의 가입 후 행태에 대한 기존연구는 고객불평 연구, 서비스 사용 후 발생하는 정상적 이탈행태(normal churn)에 대한 연구, 또는 탐색적 연구를 제외하면 매우 부족하다. 더욱이 하이테크서비스의 특성을 고려한 서비스 출시초기에 소비자의 가입직후 해지결정에 대한 결정요인 연구는 그 필요성에 비해 연구가 전무하다시피한 실정이다. 본 연구에서는 하이테크 서비스에 대한 소비자의가입시점과 실제 사용시점 사이에 발생하는 소비자의 이탈행태를 이탈시점에 따라 '가입직후 이탈(immediate churn)' 과 '가입 후 이탈(earlychurn)'로 정의한 후, 특히 가입직후 고객의 이탈행태를 설명하기 위해 하이테크 서비스에 대한 소비자의 이전 사용경험정도와 서비스에 대한 정보를 획득한 채널의 정보전달 풍부성 등을 연구모형에 포함하였다. 이 기간 동안에 기업은 서비스 제공에 필요한 부수적인 기기 제공 및 서비스 준비 등을 수행하지만, 동시에 소비자는 여러가지 이유로 가입결정을 제고할 수도 있게 된다. 제안된 연구모형에 대한 실증분석을 위해 미국 유수의 기간통신회사에서 2004년 출시된 인터넷전화(Voice over Internet Protocol: VoIP)서비스에 가입한 12,000여명 의 고객 프로파일과 서비스사용 데이터를 활용하였다. 분석결과 가입자의 하이테크 서비스에 대한 사용경험정도가 낮을수록 서비스 가입직후 바로 해지하는 경향을 보였다. 하지만 하이테크 서비스에 대한 이전 사용경험이 낮은 경우라도, 가입 후서비스를 실제로 사용하였다면 서비스에 대한 가입해지 경향은 더 이상 나타나지 않았다. 이는 가입자의 하이테크 서비스에 대한 이전 사용경험정도가 가입직후 해지에만 영향을 미치는 요인임을 보여준다. 또한 매체의 정보전달 풍부성 (media richness)이 상대적으로 높은 소매점이나 웹사이트를 통해 서비스에 가입한 소비자일수록 가입 직후뿐만 아니라 서비스사용 이후에도 낮은 해지성향을 나타냈다. 이러한 분석결과를 바탕으로 인터넷전화 서비스에 적합한 고객지원 프로그램 설계와 마케팅 매체선정과 관련한 전략적 시사점을 도출한다. 그리고 국내에서 최근 이슈가 되고 있는 차세대 무선인터넷 서비스인 와이브로 출시에 따른 마케팅 및 고객관리와 관련된 시사점을 논의한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.5
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• pp.175-185
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• 2019

Despite the rapid growth and importance of social enterprises in recent years, most social enterprises have many limitations such as small business size, financial dependence on government, lack of professional management personnel and knowledge, and low consumer awareness. Therefore, empirical research in the field of marketing is needed for economic independence of social enterprises. This study is based on the following: First, the identity of the social enterprise and the self-image of the consumer, second, the functional correspondence between the consumer's expectation and actual performance of the social enterprise's product, and third, the social value of the social enterprise product, the purpose of this study was to examine the effects of consumer value consistency on customer satisfaction and loyalty to social enterprises. Finally, this study aimed to suggest the moderating role of social enterprise clubs in this process to give implications for the long-term marketing of social enterprises. The results of this study are as follows. First, self-image consistency, functional correspondence, and value correspondence all have positive effects on the satisfaction of social enterprise and its products and form a loyalty. Secondly, whether or not the social enterprise club belonged to them is a moderating variable that raises sensitivity in the effects of self image consistency and functional consistency on customer satisfaction and customer satisfaction on loyalty. It was found to be.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.19-42
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• 2012

Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.207-221
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• 2003

Most commercially available collaboration support systems are not proper for small enterprises in a specific area such as small e-design companies, because they are focused on general functionalities, required by most large enterprises. In this paper, we analyze the requirements for improving communication environments of small e-design companies, and propose an advanced communication management tool which reflects those requirements. The communication platform focuses the acknowledgement process by customer and the schedule sharing and management between project members. The proposed system suggest a new research direction which supports the systematic collaboration with external entities such as customers rather than the unsystematic collaboration between internal members, and improves the communication environment of those small e-design companies that are desperately in need of a cost-effective way to carry out projects, and will help in the process of successful projects.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.3
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• pp.63-76
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• 2017

While the Military Logistics System and its Outcome Quality have been Emphasized, User Unit's needs on Interaction Quality Begin to Appears as a New Subject in Logistics Field. Interaction Quality of Supply, Maintenance and Foods Among Logistics Functions Influenced much more to User Unit's Satisfaction. Especially Maintenance on Satisfaction was Prominent. Analyses of the Survey and Interview with Field Employees Supported the Results, and the Characteristics of Maintenance Function also Accord with those. Moreover, the Service Maintenance Employees, who Showed Higher Job Satisfaction Among Three Functions, led to Higher Satisfaction of User Units.

• Annual Conference of KIPS
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• 2010.11a
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• pp.175-176
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• 2010

SaaS 플랫폼은 메타데이타를 기반으로 사용자에게 다중 사용자 지원 및 용이한 환경 설정으로 다양한 사용자 요구를 충족시키려 하고 있다. 따라서, 여러 고객이 하나의 서비스 인스턴스를 공유하고, 데이터베이스 안의 정보를 각자 관리할 수 있어 서비스로서 애플리케이션의 비용을 절감할 수 있다. 본 논문에서는 SaaS 플랫폼의 하나로 개발중인 SaaSpia 플랫폼에서 다중 사용자 지원 및 용이한 환경 설정을 위해 관리되어야 할 메타데이타를 알아보고, SaaSpia 애플리케이션에서 메타데이타 지원을 연구한다. SaaSpia 플랫폼에서 메타데이타는 일반 웹 애플리케이션을 SaaSpia 애플리케이션으로 변환하거나, 운용중인 SaaSpia 애플리케이션의 사용자별 설정 변경 시, 이용된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.182-190
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• 2018

Many pharmaceutical companies operate the SFA system to support salespeople. The SFA system is used for various behaviors of salespeople. However, there is a lack of empirical analysis on the performance of SFA in Korea. The purpose of this study is to investigate the utilization of SFA system and the non - financial performance of SFA system. The subjects of the survey were 347 pharmaceutical community members who consisted of pharmaceutical salespeople and surveyed online for 18 days from March 13, 2018 to April 30, 2018. and the effective response rate was 23.1% (80/347). The analysis shows that the higher the level of SFA system utilization, the higher the non - financial performance. By type of company, the utilization level of multinational companies was higher than that of domestic companies. Among the SFA utilization level items, 1.47 points (3.65, 2.18) were higher than the domestic companies in terms of the support service items. Among the SFA performance items, foreign companies were 1.47 points (3.16, 1.69) Respectively. This suggests that the SFA development and operation method of the domestic company focuses on the management service rather than the support service for the salesperson and the customer satisfaction. Through this study, it is considered that domestic companies should strengthen sales person support and customer satisfaction information providing function when operating SFA system.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.1-7
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• 2020

In this study, we hypothesized that the needs for start-up support services may vary depending on the founder's psychological characteristics, such as self-efficacy or his attitude toward uncertainty. To verify this, a survey was conducted on the founders of 86 companies located in Business Incubators at Seoul and Daejeon and an empirical analysis was conducted based on the data. According to the analysis, the higher the self-efficacy of the founder, the more active he expressed his willingness to accept the start-up support service, which aims to provide start-up zones to busy areas outside the university. While the founder, who has experienced failure in the past, responded positively to attracting customers located outside the university. The results of this study supported the hypothesis and suggest that differentiated start-up support services should be designed by including not only characteristics at the level of start-up companies, such as industries and growth stages, but also the psychological characteristics of start-ups in important consideration.