• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.423-432
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• 2016

This study analyzes the effects of accessibility, support system, economical efficiency, surrounding environment, business potential, and facility characteristics on customer satisfaction with Knowledge Industrial Center, in line with customer patterns based on the owner-occupied facility/rental facility, and occupancy period. We find that, in the group of customers as a whole, the factors except surrounding environment have statistically significant influences, with accessibility and economical efficiency showing relatively big influences. Across owner-occupied facility group/rental facility group and 3 occupancy period groups, the statistically significant factors differ. Among all groups, including customers as a whole, accessibility has a statistically significant high influence in five groups, but the others factors differs depending on customer characteristic group, showing the different constant between 0.2 0~0.27 of regression coefficient. According to the results of this paper, for more successful operation, Knowledge Industrial Center may focus first on the accessibility, and may focus on the other factors depending upon the various customer characteristic group.

• Knowledge Management Research
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• v.14 no.3
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.4
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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.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.93-110
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• 2015

The purpose of this study is to identify the role of T-shaped skill between customer/supplier network and innovation performance of firms. To manage effectively the relationship between collaborative firms, firms need to have a prior related knowledge. The premise of absorptive capacity is that the organization needs prior related knowledge to recognize, assimilate, and apply new knowledge. In this context, T-shaped skill facilitates the learning of new related knowledge. The skill is thus a critical component of innovative capabilities. We found that T-shaped skill plays a mediating role in the relationship between networks and innovation performance. The conclusions and implications are discussed.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.23-47
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• 2003

Traditional studies for customer relationship management (CRM) generally focus on static CRM in a specific time frame. The static CRM and customer behavior knowledge derived could help marketers to redirect marketing resources fur profit gain at that given point in time. However, as time goes, the static knowledge becomes obsolete. Therefore, application of CRM to an online retailer should be done dynamically in time. Customer-based analysis should observe the past purchase behavior of customers to understand their current and likely future purchase patterns in consumer markets, and to divide a market into distinct subsets of customers, any of which may conceivably be selected as a market target to be reached with a distinct marketing mix. Though the concept of buying-behavior-based CRM was advanced several decades ago, virtually little application of the dynamic CRM has been reported to date. In this paper, we propose a dynamic CRM model utilizing data mining and a Monitoring Agent System (MAS) to extract longitudinal knowledge from the customer data and to analyze customer behavior patterns over time for the Internet retailer. The proposed model includes an extensive analysis about a customer career path that observes behaviors of segment shifts of each customer: prediction of customer careers, identification of dominant career paths that most customers show and their managerial implications, and about the evolution of customer segments over time. furthermore, we show that dynamic CRM could be useful for solving several managerial problems which any retailers may face.

• The Journal of Industrial Distribution & Business
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• v.12 no.3
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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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• v.2 no.2
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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.

• Journal of Fashion Business
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• v.11 no.3
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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.

• Knowledge Management Research
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• v.19 no.4
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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.

• Journal of Korea Technology Innovation Society
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• v.15 no.4
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• pp.837-861
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• 2012

In the knowledge society, the importance of sharing knowledge, technology, and information has been increasing. Due to the different characteristics of information itself, information marketing is a newly emerging perspective. This study aims to identify the factors which effect information customer value and satisfaction of the national R&D information service. The results show that information quality and service quality have a significant influence on customer value. In addition, the information quality, service quality and the information customer value have a significant positive effect on customer satisfaction. However, customer value of information acts as an intermediary between information quality and customer satisfaction. The indirect effects of information quality on the satisfaction are higher than the direct effect. On the other hand, the difference between the direct and indirect effect of service quality was not significant. After an analysis of research result, we discussed implications and limits of the study as well as future result direction.