• Korea Trade Review
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• v.45 no.2
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• pp.121-135
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• 2020

This study was to identify the effects of four types of e-Lifestyle(life-friendly lifestyle, development-oriented lifestyle, sociality-oriented lifestyle, information-oriented lifestyle) on sustainable behavior (usage and satisfaction) of Kiosk service. The study was based on convenience sampling of 222 consumers, who have at least three months experience of kiosk system use. Results showed that all of the four types of e-Lifestyle had not significant effect on ease of use. However, development-oriented lifestyle and sociality-oriented lifestyle had a positive effects on usefulness of Kiosk service. Results also indicated that e-Lifestyle had significant and positive effects on customer satisfaction and recommendation. In particular, life-friendly lifestyle had an effect on customer satisfaction, and sociality-oriented lifestyle and information-oriented lifestyle had statistically significant effects on recommendation. Since e-lifestyle could potentially influence sustainable behavior for using Kiosk, this study investigated the distribution of usage and consumer satisfaction for every lifestyle type, so as to understand the attitudinal and behavioral evaluation as sustainable behavior in the use of kiosk services. These findings allow researchers and marketers to identify the needs and expectations of specific types of kiosk users.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.131-140
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• 2007

This paper studies characteristics of e-Learning users' motivation, attitudes and satisfaction. For this purpose, surveys were conducted of university students who choose e-Learning as one of main learning tools. The research found that stable service and proper service charges were critical to the loyalty to e-Learning service. It also showed that both quality and quantity of contents were very important factors to e-Learning growth.

• International Commerce and Information Review
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• v.10 no.3
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• pp.117-140
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• 2008

The purposes of the study are to measure the relative importance of independent variables, to analyze relation between user satisfaction and use, and to improve the level of user satisfaction in using e-Trade system(uTradeHub). The study develops the independent variables in three dimensions(i.e the quality of system, quality of information, and quality of service), estimates the level of satisfaction on a par with these variables, and analyzes the causal relation of these variables. The major findings of the study are as follows. First, there is a significant casual relationship between the quality of system and user satisfaction, thus the hypothesis is accepted. Second, there is a significant casual relationship between the quality of information and user satisfaction, thus the hypothesis is accepted. Third, there is a significant casual relationship between the quality of service and user satisfaction, thus the hypothesis is accepted. Final, there is a significant casual relationship between the user satisfaction and use, thus the hypothesis is accepted.

• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.37-50
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• 2009

The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested models that seek to explain students' satisfaction withe-learning systems. A survey was performed at a women's college in Korea, where students experimentally could choose to register one same course either through e-learning or class-room learning. The questionnaire was filled up by students who took e-learning option. independent variables include expected benefits, familiarity with technology, social influence, and accessibility. Dependent variables include the level of satisfaction, academic achievement, and the amount of the use of systems.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.83-101
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• 2010

Competition in Internet open-market has become fiercer as much for its growth possibility in differentiating from the general commercial market. For this reason, internet open-market entrepreneurs should make effective strategy in improving customers' e-loyalty to survive in the highly competitive internet open-market as in off-line market and to aim for growth through constant profit making. To satisfy with the goal, this study has been performed as the empirical research that confirms to the influence and relationship of e-service quality affected on the perceived value, customer satisfaction and e-loyalty. This is based on the result that e-service quality affected on e-loyalty for internet open-market. The research results are shown as follows; first, all factors including the perceived value and customer satisfaction, except possibility of system use, have the effect of e-service quality. Second, the perceived value between measurements affects significantly on customer satisfaction. And third, the perceive value and the customer satisfaction are a1so meaningfully influential to e-loyalty. The result presents important point that entrepreneurs in Internet open-market need to do their best to maintain in making profits for the future by improving the customers' e-loyalty and securing customers with high loyalty via continually revealing new influential factors on e-service quality, perceived value, and customer satisfaction.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.287-310
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• 2011

This research surveyed college students in Korea on their satisfaction for e-book services provided by university libraries. Their usage behavior was investigated, and the satisfaction rate for e-book usage and its service quality were analyzed to comprehend the status of e-book usage. The analysis showed that overall satisfaction for e-book service of university libraries was 2.93 on average. Moreover, the more frequently a student used the service, the more satisfied the student was; junior/senior-level and graduate school student groups showed higher satisfaction for e-book service than freshman and sophomore students. The most influential factor for satisfaction based on the e-book service quality was the content of the service, followed by the library support service system. Based on the findings, reinforcement of library public relations and user education, and the maintenance of the variety and up-to-date status of the contents were proposed to stimulate future university library e-book services.

• Journal of Distribution Science
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• v.15 no.2
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• pp.37-46
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• 2017

Purpose - This research investigates whether e-service quality has the influence on long-term orientation, consumer commitment, and satisfaction. Research design, data, and methodology - Data collection took place for 30 days from October 1, 2015 to October 31, 2015. 315 copies had been analyzed. Covariance structure analysis with credibility and factor analysis was conducted to verify this research hypotheses. Results - First, the lower dimension concepts of e-service quality, reliability, and tangibility had a significant influence on customer commitment, and responsiveness had a significant negative influence. However, aesthetics did not have a significant influence on that. Secondly, aesthetics had a significant influence on long-term orientation, but reliability, tangibility, and responsiveness did not have a significant influence. Thirdly, reliability, tangibility, and aesthetics had a positive influence on customer satisfaction. However, responsiveness had a negative influence. Fourthly, customer commitment had a significant and positive influence on customer satisfaction, but customer commitment and customer satisfaction had a negative influence on long-term orientation. Conclusions - This research verifies the influencing relationship between e-service quality of a franchise coffee shop application with customer commitment, customer satisfaction, and long term orientation. By the results of this research, possibility of application and expansion of theory has been proven.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.533-542
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• 2013

Fashion products are frequently purchased on impulse and are also one of the most popular product categories sold online. Online environment attributes can facilitate flow experiences that are described as an optimal psychological state reached during an engagement in activities (e.g., games and e-shopping). This study estimated the path model to examine the causal relationships among shopping mall attributes, flow, e-impulse buying, and consumer satisfaction for fashion products. A total of 598 usable questionnaires were obtained from college students who had purchased fashion products through the Internet. Data were analyzed by exploratory factor analysis, confirmatory factor analysis, and path analysis using SPSS 18.0 and AMOS 18.0. The results showed that e-shopping mall attributes (visual attributes and product attributes) significantly influenced e-impulse buying (fashion-oriented impulse buying and promotion-oriented impulse buying) which was mediated by the consumer flow experience and then influenced by consumer satisfaction. In the path model, the flow was stimulated by shopping mall attributes, the e-impulse buying was influenced by flow, and the consumer satisfaction was influenced by e-impulse buying. Flow was the most highly related to the fashion-oriented impulse buying, and followed by the relationship of the flow and promotion-oriented impulse buying in the context of e-shopping for fashion products. A managerial implication was discussed for fashion product e-retailers to develop strategies on visual attributes and product attributes that could stimulate and increase the consumer flow to trigger impulse buying as well as consumer satisfaction.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.93-102
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• 2007

The present study is to investigate the elements of e-learning strategies affecting the levels of participation, achievement and satisfaction for learners who participated in the university blended learning environment. For this, 58 subjects were recruited who participated in the blended learning class at K university. E-learning strategies, achievement and satisfaction levels were measured for data collection, and the level of participation was measured by analyzing the LMS log-in database. For data analysis, first, means and standard deviation were computed to find the level of e-learning strategies of the subjects. Second, linear regression analysis was conducted to find the e-learning strategies that could estimate the levels of achievement, participation and satisfaction. As a result, variables to estimate the achievement level included time management strategy and overload management strategy. Variables to estimate the participation level included self-directed strategy, time management strategy and overload management strategy. Finally, variables to estimate the satisfaction level included multiple discussion management strategy, asynchronous management strategy and sociality. Based on these estimated variables, the author suggested some ideas to increase the educational effectiveness.