• 지식경영연구
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• 제14권3호
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• pp.15-35
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• 2013

Nowadays, online shopping has become popular among consumers. As such, gaining loyal online shopping customers has become a rising concern for online shopping vendors. In this study, we investigated the hierarchical relationships among Lewicki and Bunker's three different types of trust, namely, calculus-based trust, knowledge-based trust, and identification-based trust, in the context of online shopping and their impacts on customer satisfaction and loyalty. A total of 104 responses from online shopping users were analyzed to test the proposed model and its hypotheses using Partial Least Squares (PLS). The results showed that, in the online environment, hierarchical relationships between different types of trust exist and that, among them, knowledge-based trust has the strongest impact on customer satisfaction. This finding implied that practitioners should focus on developing appropriate online strategies for building trust-based relationships with online customers.

• 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.

• 디지털융복합연구
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• 제13권1호
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• pp.93-110
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• 2015

본 연구는 고객 네트워크와 공급자 네트워크, 그리고 혁신성과간의 관계에서 T자형 기술의 역할을 규명하기 위해 수행되었다. 기업 간 협력관계를 효과적으로 관리하기 위해서 필요한 요소는 관련 선행 지식이다. 흡수역량의 전제조건은 새로운 지식을 인지하고, 완전히 이해하고 이를 적용하기 위해서 기업이 관련 선행 지식을 보유하고 있어야 한다는 것이다. 이러한 관점에서 T자형 기술은 새로운 관련 지식의 학습을 용이하게 해주며, 혁신 성과에 중요한 요소이다. 실증분석 결과 T자형 기술은 네트워크와 혁신성과 간의 중요한 매개변수로 작용하는 것으로 나타났다. 본 연구는 이를 통해 앞으로 고객 및 공급자와의 네트워크를 구축하고 적극적으로 활용하는 기업에게 어떻게 구축된 네트워크를 통한 효과를 극대화 할 수 있는지 그 방향성을 제시하고 있다.

• 지능정보연구
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• 제9권3호
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• pp.23-47
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• 2003

전통적인 고객관계관리 연구는 특정 시점에서 고객관계관리에 중점을 두어 연구되었다. 이러한 정적인 고객관계관리와 고객 행동에 관한 지식은 마케팅 관리자가 제한된 마케팅 자원을 이익의 극대화를 위해 사용할 수 있게 해주었다. 그러나 시간이 경과하게 되면 이러한 정적인 지식은 쓸모가 없어지게 된다. 그러므로 고객관계관리는 고객의 동적 특성을 반영해야 한다. 과거 고객의 구매 행위를 관찰하여 현재 또는 미래 시장의 고객을 세분화하며 구분된 고객 군집에 대해 서로 다른 마케팅 전략을 사용할 수 있다. 고객의 구매행동을 근간으로 한 고객관계관리는 수십 년 전부터 연구되어왔지만 동적인 고객관계관리에 대한 연구는 최근에 들어와서야 활발하게 진행되고 있다. 본 논문은 인터넷 상점의 고객 데이터로부터 추출된 지식과 시간 경과에 따른 고객 행동 패턴의 분석을 위해 데이터마이닝과 모니터링 에이전트 시스템(MAS)을 이용하며, 이를 통한 동적인 고객관계관리 모델을 제시한다. 이 모델은 고객이력경로에 대한 예측과 고객에게 나타나는 집단이력경로의 분석, 그리고 시간 경과에 따른 고객 군집의 변화에 대한 분석과 그에 따른 마케팅 전략 도출을 포함한다. 이 모델의 제안은 많은 온라인 소매상이 직면하고 있는 경영상의 문제를 해결하는데 유용할 것이다.

• 산경연구논집
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• 제12권3호
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• pp.7-19
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• 2021

Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

• International Journal of Knowledge Content Development & Technology
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• 제2권2호
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• pp.31-45
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• 2012

This study prepared a foundation to provide high-quality services in a stable and effective way to meet the customer expectations, by building up and establishing an ISO 20000 certified IT service management system and protecting the information assets from various threats through effective system operation that meets the requirements of international standards, in order to ensure the reliability and stability of NDSL public services provided by KISTI Information Service Center and to enhance the customer satisfaction.

• 패션비즈니스
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• 제11권3호
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• pp.46-58
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• 2007

The purpose of this study was to identify the physical surroundings and the salesperson's service in apparel stores, and to examine their effects on customer satisfaction and the intention to repurchase. The data was collected from a questionnaire conducted on 312 female adults who had just finished shopping, and was analyzed by frequency analysis, factor analysis, reliability analysis, regressive analysis and ANOVA analysis with SPSS 10.0. The results were as follows: (1) As a result of the factor analysis, five factors were identified with regard to physical surroundings: spatial layout and functionality, presentation and aesthetics, ambience, convenience, and information. The factors pertaining to the salesperson's service in apparel stores were divided into four dimensions: knowledge and assurance, convenience and responsiveness, etiquette, and empathy. (2) As far as physical surroundings are concerned, spatial layout and functionality, presentation and aesthetics, ambience, and convenience were all found to influence customer satisfaction. In terms of salesperson's service, convenience and responsiveness, etiquette, and empathy each had an influence on customer satisfaction. (3) Furthermore, physical surroundings and the salesperson's service influenced the intention to repurchase. The intention to repurchase is influenced by spatial layout and functionality, ambience, convenience, and information with regard to physical surroundings, by knowledge and assurance, convenience and responsiveness, and empathy with regard to the salesperson's service. (4) It was revealed that the significance of the physical surroundings and salesperson service factors varies depending on the consumer's age, level of education, and income.

• 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.

• 기술혁신학회지
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• 제15권4호
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• pp.837-861
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• 2012

지식, 기술, 정보 등은 지식정보화 사회에서 중요한 재화로서 그 비중이 날로 높아지고 있으며 일반 소비재, 서비스 등과 다른 특성으로 인하여 정보마케팅적 관점이 새롭게 대두되고 있다. 본 연구는 국가R&D정보서비스의 하나인 NTIS, NDSL사용자를 대상으로 정보마케팅관점에서 정보고객가치, 만족도 영향요인을 실증분석하였다. 연구결과 정보품질, 서비스 품질, 정보고객가치는 고객만족도에 유의한 정(+)의 영향을 미쳤으며 정보고객가치는 정보품질 및 서비스품질과 만족도 간 관계를 매개하는 것으로 나타났다. 정보품질과 서비스 품질 또한 정보고객가치에도 유의한 정(+)의 효과를 보였다. 또한 정보고객가치를 매개변수로 하여 산출된 정보품질의 간접효과는 직접효과보다 상당히 더 높게 나타난 반면, 서비스품질의 간접효과와 직접효과 차이는 크지 않았다. 본 연구는 정보관련 특수 분야의 마케팅 차원을 확대하는데 의미가 있으며 공공재적 성격의 국가 R&D정보서비스의 고객가치 및 만족도 제고를 위한 실무적 시사점을 제공함에 의의가 있다. 향후 국가 R&D정보서비스에서 일반화하여 정보마케팅과 정보고객가치 관련 지속적인 연구가 필요하다.

• 지식경영연구
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• 제20권2호
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.