• Journal of Engineering Education Research
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• v.15 no.2
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• pp.10-19
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• 2012

The purpose of this study was to analyze job of e-learning quality managers based on the DACUM(Developing A Curriculum) method and to construct a task model of e-learning quality managers. A DACUM committee was composed to analyze job of e-learning quality managers and the committee members were total 12, those are one facilitator, 9 panel members, one recorder and one coordinator. The major findings of this study were as the followings; first, the number of job duty of e-learning quality managers were total 7, which were service planing, infrastructure building, of content developing, service evaluating, administration for quality managing, self-improvement. And total tasks of job of e-learning quality managers were 61. Second, 14 knowledge, 21 skill, 19 attitudes for e-learning quality managers were analyzed. Third, a task model of e-learning quality managers was constructed based on the results of DACUM job analysis.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.237-240
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• 2018

현재 e스포츠 시장은 게임 산업의 성장과 맞물려 매우 큰 규모로 확대되고 있고, 업종을 불문하고 다양한 국제적인 기업과 스포츠 구단이 진출하고 있는 실정이다. 본 논문에서는 컴퓨팅 관련 산업에 있어서 수요와 공급의 중간 매체의 역할을 하는 품질보증(QA : Quality Assurance)이 게임 산업의 한 분야인 e스포츠 산업을 위해 수행할 역할과 상호작용에 대한 중요성과 필요성을 제시하고자 한다.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.475-482
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• 2014

A wide variety of contents are now provided along with the development of information appliances. The purpose of this study was to examine what should be considered to boost the quality of mobile device based e-learning contents. For this study, 12 evaluation domains and 26 evaluation items were selected using the Delphi method. The factors to be considered for mobile device based e-learning contents quality are summarized 4 factor. In other words, for the purpose of managing the quality of mobile device based e-learning contents, there exist four areas to be considered, 'foundation', 'contents', 'teaching design' and 'technology.' The findings of this study are expected to contribute to the improvement of the quality of the educational contents.

• Journal of Global Scholars of Marketing Science
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• v.19 no.4
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• pp.57-63
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• 2009

With an exponential increase in electronic commerce (e-commerce), marketers are attempting to gain a competitive advantage by emphasizing service quality and post interaction service aspects, which leads to customer satisfaction or behavioral consequence. Particularly for apparel, service quality is one of the key determinants in encouraging customer e-loyalty, and hence the success of apparel retailing in the context of electronic commerce. Therefore, this study explores e-service quality (E-SERVQUAL) factors and their unique effects on e-loyalty for apparel online shopping based on Parasuraman et al' s (2005) framework. Specific objectives of this study are to identify underlying dimension of E-SERVQUAL, and analyze a structural model for examining the effect of E-SERVQUAL on e-loyalty for online apparel shopping. For the theoretical framework of service quality in the context of online shopping, literatures on traditional and electronic service quality factors were comparatively reviewed, and two aspects of core and recovery services were identified. This study hypothesized that E-SERVQUAL has an effect on e-loyalty; customer satisfaction has a positive effect on e-service loyalty for apparel online shopping; and customer satisfaction mediates in the effect of E-SERVQUAL on e-loyalty for apparel online shopping. A self-administered questionnaire was developed based on literatures. A total of 252 usable questionnaires were obtained from online consumers who had purchase experience with online shopping for apparel products and reside in standard metropolitan areas, in the United States. Factor analysis (e.g., exploratory, confirmatory) was conducted to assess the validity and reliability and the structural equation model including measurement and structural models was estimated via LISREL 8.8 program. Findings showed that the E-SERVQUAL of shopping websites for apparel consisted of five factors: Compensation, Fulfillment, Efficiency, System Availability, and Responsiveness. This supports Parasuraman (2005)'s E-S-QUAL encompassing two aspects of core service (e.g., fulfillment, efficiency, system availability) and recovery related service (e.g., compensation, responsiveness) in the context of apparel shopping online. In the structural equation model, there are five exogenous latent variables for e-SERVQUAL factors; and two endogenous latent variables (e.g., customer satisfaction, e-loyalty). For the measurement model, the factor loadings for each respective construct were statistically significant and were greater than .60 and internal consistency reliabilities ranged from .85 to .88. In the estimated structural model of the e-SERVEQUAL factors, the system availability was found to have direct and positive effect on e-loyalty, whereas efficiency had a negative effect on e-loyalty for apparel online shopping. However, fulfillment was not a significant predictor for explaining consequences of E-SERVQUAL for apparel online shopping. This finding implies that perceived service quality of system available was likely to increase customer satisfaction for apparel online shopping. However, it was not supported that e-loyalty was determined by service quality, because service quality has an indirect effect on e-loyalty (i.e., repurchase intention) by mediating effect of value or satisfaction in the context of online shopping for apparel. In addition, both compensation and responsiveness were found to have a significant impact on customer satisfaction, which influenced e-loyalty for apparel online shopping. Thus, there was significant indirect effect of compensation and responsiveness on e-loyalty. This suggests that the recovery-specific service factors play an important role in maximizing customer satisfaction levels and then maintaining customer loyalty to the online shopping site for apparel. The findings have both managerial and research implications. Fashion marketers can establish long-term relationship with their customers based on continuously measuring customer perceptions for recovery-related service quality, such as quick responses to problem and returns, and compensation for customers' problem after their purchases. In order to maintain e-loyalty, recovery services play an important role in the first choice websites for consumers to purchase clothing. Given that online consumers may shop anywhere, a marketing strategy for improving competitive advantages is to provide better service quality, maximize satisfaction, and turn to creating customers' e-loyalty for apparel online shopping. From a researcher's perspective, there are some limitations of this research that should be considered when interpreting its findings. For future research, findings provide a basis for the further study of this important topic along both theoretical and empirical dimensions. Based on the findings, more comprehensive models for predicting E-SERVQUAL's consequences can be developed and tested. For global fashion marketing, this study can expand to a cross-cultural approach into e-service quality for apparel by including multinational samples.

• The Journal of Information Systems
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• v.28 no.3
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• pp.203-225
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• 2019

Purpose The purpose of this study is to empirically verify an ePortfolio success model which shows the structural causal relationships among the basic modeling constructs. We developed the success model based on DeLone and Mclean(2003) from IS perspective and on Balaban et al(2013) from ePortfolio perspective. And we are focused on the success of ePortfolio system designed for college students and professors. Design/methodology/approach Structural equation modeling techniques were applied to data collected 375 users of the ePortfolio system, K-Folio, at least one semester during one academic year. The structural model was analyzed using a Lisrel 8.54 statistical program. Findings The followings are the findings of the study. First, the constructs of IS success model are well applied to ePortfolio for college education. Second, the proposed model which has direct causal relationships from ePortfolio's quality to performance is more significant than the D&M and Balaban's model(2013). Third, the information quality among ePortfolio quality constructs does not have effect on system usability and performance. It means that information contents' quality issued by professor or system manager is not satisfied with the students yet. Finally, by using indirect analysis of structural equation model, we found that the ePortfolio operation manager should focus on ensuring system maintenance activities and providing fast and accurate services for improving ePortfolio performance.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.1
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• pp.111-126
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• 2024

The purpose of this study is to analyze the mediating effect of flow in the quality of customizing e-services and customer loyalty, with a view to providing a realistic strategy for the development of fashion customizing services. For this study, a total of 489 adult women in their 20s and older participated in a survey, and the responses were analyzed using SPSS 23.0 and AMOS 23.0 . The findings of the analysis were as follows. First, the ease of use, privacy, individual designs, order status, and accuracy of orders, which were the factors of fashion customizing e-service quality, had a significant and positive impact on flow. Second, the ease of use, order status, and order accuracy, which were the factors of fashion customizing e-service quality, had a significant and positive impact on customer loyalty. Third, the flow of the fashion customizing service had a significant and positive impact on customer loyalty. Fourth, in the relationship between fashion customizing e-service quality and customer loyalty, flow had a significant mediating effect. The findings of this study are expected to be useful data for the fashion industry providing a set of criteria for optimized customizing e-services for customers.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.427-435
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• 2010

As the e-Learning plays an increasingly larger important part in education and has been increased as an alternative to offline education, academic organizations are moving ahead to set guidelines for quality assurance in e-Learning. And various quality assurance techniques in e-Learning have been developed because the e-Learning does not always match well traditional models of teaching and learning, much care needs to be taken in the design, creation and implementation of service. But the present quality assurances in e-Learning which are focused in learning objects have much problems because they use partial and static management. In this thesis we suggested dynamic quality assurance using CLD(Causal Loop Diagram) in e-Learning. The suggested method has more efficiency than existing methods and it can provide important strategies with regard to administrative issues in e-Learning.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.173-182
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• 2007

e-Learning can be seen as not only one of Internet based information systems which can provide education services, but also one of teaching-learning methods which can implement self-directed learning. This paper tests factors affecting the e-Learning performance based on information systems success model and self-efficacy theory using a field study. Questionnaires are collected from 216 students who are enrolling a e-learning class using online survey. The results are following: first, the service quality and self-efficacy are significant predictors of use intention, but system quality and information quality are not. second, the system quality, information quality, service quality and self-efficacy are significant predictors of user satisfaction. Third, use intention and user satisfaction are found to be a strong predictor of the learning performance.

• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.15-27
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• 2010

This study investigates the differences of e-service quality depending on image interactivity technology and the influences of e-service quality on purchasing involvement and customer loyalty. Online shopping malls have made toward satisfying customers' shopping experience owing to the advance of technology. Above all, it is important to prove effectiveness of this technology to introduce it. Therefore, the purpose of this study is to test effectiveness of Image Interactivity Technology (IIT) which has been introduced by some shopping malls. For this study three shopping malls were designed as stimuli that have the different level of IIT. The women of 20-30 who have bought fashion products in online shopping malls participated in the quantitative research. Total 592 were used for the statistical analysis. Descriptive statistics, cross tabulation analysis, factor analysis, reliability analysis, one-way ANOVA, and multiple regression were implemented. Four factors of e-service quality were extracted. The 3D avatar shopping mall was higher than the others in those factors. Besides, e-service quality factors influenced purchasing involvement and customer loyalty. Therefore, online shopping malls are advised to introduce IIT and improve e-service quality

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1609-1618
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• 2012

We can easily acknowledge the facts that the e-market is increasingly and quickly changed by the smart phone user's. This research focuses the e-service quality and relationship between the e-service quality, customer satisfaction and behavioral intention in the AppShopping Mall. Based on the documentary research, the empirical study was followed by the questionnaire. The 313 usable questionnaires were collected by a self-administered survey. The results reveal that the e-service quality determinants are factors including customer service, app design, security, connectivity and user's convenience, and that the e-service quality is directly or indirectly related to customer satisfaction and behavioral intention. The AppShopping mall managers have to try on their best to find out the customer's needs, manage the lists of the e-service quality and develop the app.