• 지식경영연구
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• 제19권4호
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1394-1397
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• 2004

Company perform a lot process to produce products. If company try to satisfy for customer and improve technological competition, they must be changed to new system. As a result, we developed knowledge based smart search system and customized it to PDM system on commercial use. In this smart search system, wherever process designer can seek to result quickly. This will be upgraded for be applied to some company.

• 한국경영과학회지
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• 제31권4호
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• pp.157-179
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• 2006

Recently, as business becomes more dependent on information technology for their operations, SI project managers are under increasing pressure to implement SI projects on time and within budget, and to satisfy customer requirements. For the success of SI projects and customer satisfaction, SI project managers should master the critical shills and knowledge requirements and consider the proper leadership style to lead the team members and to manage SI projects. The leadership style includes four categories, such as directive leadership, supportive leadership, participative leadership, and achievement-oriented leadership. This study has examined the project managers' competency and suggests the three competency factors, which are technical, human, and conceptual shills, for the success of SI projects and customer satisfaction. The study suggests that SI project managers should master the three critical skills and knowledge requirements, and consider the proper leadership style for the successful implementation of SI projects. Also SI project managers should consider contingency factors such as project size and duration and outcome variables such as protect performance and customer satisfaction so as to enhance the leadership effectiveness.

• 지식경영연구
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• 제10권4호
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• pp.151-161
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• 2009

Individuals' knowledge does not transform easily into organizational knowledge even with the implementation of knowledge management system in travel agency. A prior research stream emphasizes voluntariness, as a critical factor in knowledge sharing, but pays little attention to its role. We employ theoretical framework and augment it with extrinsic variables, voluntariness of knowledge sharing that are believed to influence customer orientation and market performance of travel agency. Using data on travel agency employee, the authors find considerable results and conclude by discussing prescriptive recommendations for the travel industry.

• 지식경영연구
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• 제24권2호
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• pp.185-209
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• 2023

위드 코로나와 함께 움츠렸던 항공 여행업계가 다시 날개를 달고 있다. 이에 본 연구는 국내 항공사를 통해 최근 1년이내 해외여행을 다녀온 승객을 대상으로 항공사 승무원과의 상호작용을 통해 경험한 비언어 커뮤니케이션 요인이 고객 인게이지먼트와 브랜드 친밀감에 영향을 미치는지 살펴보았다. 총 285명의 응답을 수집하였고, SPSS 28과 AMOS 26 프로그램을 이용하여 연구도구의 신뢰도와 타당도, 모델의 적합성, 가설을 검증하였다. 실증연구 분석 결과 항공사 승무원의 비언어 커뮤니케이션 요인에서 의사언어와 공간언어가 고객 인게이지먼트에 유의미한 영향을 미치는 것으로 확인되었다. 코로나 19 이후 관점의 변화에 따라 기존 연구 결과와는 다르지만, 승객과의 접점에서 대면 서비스를 제공하는 데 있어 항공사 승무원 커뮤니케이션의 중요성을 다시 한 번 확인했다. 또한 새로운 고객만족 경영 지표인 고객 인게이지먼트를 유도하기 위해서는 항공사 승무원의 비언어적 요소에 대한 지속적인 교육과 관리가 필요하다. 또한 고객 인게이지먼트가 브랜드 친밀감에 유의한 영향을 미치는 것으로 확인되었다. 이러한 결과는 기존의 가격 인하나 충성도 확보 중심의 마케팅에서 감정과 관계 마케팅의 새로운 고객 관리 지표를 정립할 필요가 있다는 견해를 뒷받침한다. 항공사 승무원과의 상호작용이 고객 인게이지먼트에 기여할 수 있음을 확인하였으며, 이러한 결과는 항공 운송 산업 종사자에게 중요한 의미를 갖는다.

• 한국컴퓨터정보학회논문지
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• 제14권8호
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• pp.127-136
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• 2009

고객의 소리(VOC: Voice of the Customer)는 기업 및 다양한 조직들에서 고객의 요구사항들을 획득하는 과정을 기술하기 위해서 경영 및 정보기술에서 사용되는 용어이다. 최근, 기업들은 고객 만족을 위하여 VOC를 처리하고, 저장/분석하여, 문제의 재발 방지 및 개선 활동, 제품 및 서비스의 기획 및 개발에 활용하려는 노력을 하고 있다. 지금까지, 이러한 VOC 관리 시스템은 호텔업 및 보험/금융업 등의 서비스 산업들을 위주로 도입되어 왔다. 본 논문에서는 대규모 제조업을 대상으로 다양한 채널로 들어오는 VOC의 통합 관리 방안을 제시하고, 제시된 방안을 기반으로 한 통합 VOC 관리 시스템의 구축 사례를 기술한다. 이러한 통합 VOC 관리시스템을 구축함으로써, VOC를 기업의 중요한 지식 자산으로 저장하고 활용할 수 있게 되었다.

• 대한인간공학회지
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• 제29권4호
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• pp.631-637
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• 2010

The aim of affective engineering is to develop a new product by translating customer affections into design factors. Affective data have so far been analyzed using a multivariate statistical analysis, but the affective data do not always have linear features assumed under normal distribution. Rough sets model is an effective method for knowledge discovery under uncertainty, imprecision and fuzziness. Rough sets model is to deal with any type of data regardless of their linearity characteristics. Therefore, this study utilizes rough sets model to extract affective knowledge from affective data. Four types of scent alternatives and four types of sounds were designed and the experiment was performed to look into affective differences in subject's preference on air conditioner. Finally, the purpose of this study also is to extract knowledge from affective data using rough sets model and to figure out the relationships between rough sets based affective engineering method and statistical one. The result of a case study shows that the proposed approach can effectively extract affective knowledge from affective data and is able to discover the relationships between customer affections and design factors. This study also shows similar results between rough sets model and statistical method, but it can be made more valuable by comparing fuzzy theory, neural network and multivariate statistical methods.

• 패션비즈니스
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• 제12권3호
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• pp.167-174
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• 2008

The purpose of this study was to categorize customers types in accordance with current shop masters' perception of difficult customers and to identify their responding techniques and know-hows in dealing with those customers in detail, a qualitative study is carried out by conducting thorough interviews with the shop masters. The interview contained questions on occupational hold-ups of shop masters, types of hard-to-handle customers, techniques in handling difficult customers, their know-hows in customer managements and what they perceived as the qualities of a shop master. T The results were as follows: 1) Customers who are perceived as difficult by shop masters are categorized into six types, making unreasonable demands, pointing out product defects, disregarding salespersons, making no purchase after testing products, having no personality and having no response. 2) Responding techniques for difficult customers were categorized into three types, 'active response', 'standby' and 'polite refusal'. 3)The result from the question on know-hows of shop masters in customer management can be divided into 4 groups, providing special treatment or information, building one-to-one relationship with the customer, suggesting garments in accordance with the customer's taste and providing friendly customer service. 4) For the question on perceived qualities as a shop master, individual quality, customer management capacity, work experience and occupational knowledge were answered.

• 지식경영연구
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• 제18권1호
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• pp.159-176
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• 2017

Recently, the popularity of smartphones has led to a dramatic increase in the frequency of use of App(Application) services. LBS (Location-Based Service) App service adopts various methods such as push marketing and useful information by region through providing location-based service based on the location of the consumer. In particular, an enterprise or an App management company can provide necessary information to the consumer through the necessary information among the customer related knowledge information obtained by utilizing the location information of the consumer in real time. Nevertheless, since LBS is a service that can be performed only when the company obtains consent to provide location information voluntarily by the consumer, there is a case of privacy infringement due to consumers' use of personal information. The purpose of this study is to identify the characteristics of privacy related variables and the knowledge structure for consumer value formation based on the theory of privacy calculation. We also compared the characteristics of Korea with those of China in privacy issue. As a result of the analysis, it was confirmed that factors such as information utilization ability and information control ability were influential as a key factor of privacy calculation. In addition, perceived value influences the reputation of the LBS App service.

• 지식경영연구
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• 제9권4호
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• pp.91-112
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• 2008

Recently, the virtual world where avatars are playing crucial roles in connecting users with each other receives much attention from practioners as well as academicians. Especially, Second Life is one of the most prevailing website where 3-D avatars can be easily designed in line with for users' personal tastes. However, there are no studies showing how the selling agents designed in 3-D avatars can affect customer trust and purchase intention in the context of virtual world. This study is concerned with suggesting the empirical results to fill in the research void like this. Results reveal that the proposed hypotheses are proven with statistical significance.