• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.453-466
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• 2006

The increasing popularity of the Internet has led to the emergence of online service delivered by websites. Given large investments in these websites, it is important to retain existing customers in online service contexts. In order to understand how website information and system attributes may influence perceived usefulness of using the websites, customer satisfaction, and ultimate continuous usage behaviors, we develop a model to integrate user satisfaction with technology acceptance. Furthermore, this integration is sharpened through the synthesis with research on continuous usage of online service based on customer satisfaction. We then test the model using a sample of 236 respondents who have used one of the most popular Internet blog and community service in South Korea within the last three months. The analysis results suggest that website information and system attributes play key roles in forming continuous intention of the service and perceived playfulness serves as an important moderator toward customer satisfaction. Our model is more likely to help link website design and invesment decisions to the strategy for retaining existing customers in the context of online service.

• Journal of Families and Better Life
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• v.31 no.1
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• pp.39-48
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• 2013

This study examined the variables that influence middle school students' level of life satisfaction and tested a hypothetical structural equation model relating the variables to middle school students' level of life satisfaction. The subjects were 2,829 (1,411 boys and 1,418 girls) pupils who participated in the Korean Survey on the Familial Consciousness of Youth and Parents (KSYC-Familial Consciousness) in 2010. Data were analyzed through frequency, percentages, Pearson's correlations using SPSS 18.0 and structural equation modeling with AMOS 7.0. The findings are as follows. The proposed model, as revised, demonstrated the effectiveness of an analysis of the structural equation model and illustrated that all three variables (fathers' parenting behavior, communication with fathers, self-concept) indicated a direct or indirect influence on middle school students' level of life satisfaction. Fathers' parenting behavior had the greatest total effect on middle school students' life satisfaction. Fathers' parenting behavior, communication with fathers and self-concept explained 59% of the total variance of middle school students' life satisfaction. The implications for future studies are also discussed.

• The Korean Journal of Health Service Management
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• v.3 no.2
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• pp.55-64
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• 2009

The purpose of this study was to examine the use of skincare & obesity clinics, customer satisfaction with franchise and non-franchise skincare & obesity clinics and customer selection criteria in the region of Busan in a bid to suggest some of the right directions for marketing strategies for the inauguration of skincare & obesity clinics. The subjects in this study were 240 users of 16 different skincare & obesity clinics selected from Busan. Out of the clinics, four franchise clinics and four non-franchise clinics were selected from the major commercial districts, and four franchise clinics and four non-franchise clinics were selected from the residential areas. Concerning the influence of three leading factors on customer satisfaction, all the service price, material service and human service had a significant impact on customer satisfaction in the franchise model for the commercial districts. In the case of the franchise clinics in the residential areas, only service price exerted a significant influence on customer satisfaction. In terms of the non-franchise model for the commercial districts, customer satisfaction was under the significant influence of human service and material service, and that was significantly affected by human service and service price in the non-franchise model for the residential areas.

• Journal of the Korea Safety Management & Science
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• v.19 no.3
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• pp.137-150
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• 2017

Logistic enterprises want to be competitive enterprises in fierce logistic market and worry about the securement of discriminative competitiveness for it. The standards for the judgement of logistic industry's maintenance of competitiveness are not only economic feasibility of logistic costs but also the satisfaction of users because well-established service system for variety and enhancement of logistic needs. Some of the quality attributes sufficiently satisfy expectation of customers, but not guarantee high-quality satisfaction. Therefore, it's difficult to grasp quality attributes with the existing approach of perceived service quality. Quality attribute model suggested by Kano is widely used as the concept is accurate, there is high possibility to be used at the stage of product/service planning, and it can be easily applied. Kano model has a limitation that quality attributes are classified with mode and the differences between strong property of the quality attribute and week property in quality attributes were ignored. Therefore, Timko calculated customer satisfaction coefficient with the result of Kano's survey and effects of customer satisfaction and unsatisfaction through relations between satisfaction coefficient and unsatisfaction coefficient. The purposes of this study are to use ASC, the average of satisfaction coefficient and unsatisfaction, as the satisfaction of quality characteristics, decide the importance of quality characteristics with TOPSIS, a representative multi-standard decision-making method, and calculate strategy improvement propriety of logistic service quality.

• Korean Journal of Environment and Ecology
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• v.19 no.2
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• pp.139-143
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• 2005

The purpose of this study was to provide basic data for developing effective park management. For this, satisfaction factors and estimated model by satisfaction variables of user were analyzed through a questionnaire survey in Woraksan National Park, Korea. In the evaluation of the satisfaction, variables of the 'fee', 'lack and cleanness of facility', 'exorbitant pay', 'littering problem' were more unsatisfied than any other variables. Satisfaction factors by Factor Analysis were loaded with 'usual management'. In estimated model of satisfaction by Multiple Regression Analysis order of 'safety for recreation activities', 'parking problem', 'littering problem' were shown.

• Korean Journal of Environment and Ecology
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• v.20 no.2
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• pp.153-158
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• 2006

The purpose of this study was to provide basic data for developing the effective park management. For this, satisfaction factors and estimated model by satisfaction variables of visitors analyzed through a questionnaire survey in Weolchulsan National Park, Korea. In the evaluation of the satisfaction, variables of 'lack of visit program' was most unsatisfied, and 'lack of facility', 'charge of fee', 'lack of pamphlet & information facility' were more unsatisfied than any other variables. Satisfaction factors by Factor Analysis were loaded with 'facility management', 'usual management'. In estimated model of satisfaction by Multiple Regression Analysis showed in order of 'negative impacts of trail', 'lack of safety facility'.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.75-88
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• 2022

With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.

• 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 %.

• The Journal of Information Systems
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• v.32 no.2
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• pp.45-61
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• 2023

Purpose ESG(Environment Social Governance) activities of IT companies are very important for organizational development in that they can motivate employees to engage in job crafting by giving them a sense of purpose and meaning. There have been many studies on the positive impact of company ESG(Environment Social Governance) activities on financial performance, but unlike the existing financial performance approach, this study suggested that IT companies ESG activities can affect job crafting and job satisfaction of employee, using non-financial organizational variables. Design/methodology/approach This study, based on the related theoretical background, showed the relationship between ESG, job crafting, and job satisfaction, and it was proposed as a research model. A measurement model was constructed, and it was estimated and evaluated with LISREL 9.30, using data from IT companies employees, and it showed satisfactory data-fit of proposed model. The empirical results indicated that ESG(Environment Social Governance) take effect on job crafting, and job crafting take effect on job satisfaction. Findings This study provided several important implications in relation to the ESG(Environment Social Governance) that contribute to job crafting and job satisfaction for IT companies employees. It was confirmed that job crafting variable is a effective mediator linking ESG(Environment Social Governance) and job satisfaction.

• Journal of the Korean Society of Safety
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• v.20 no.4 s.72
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• pp.162-170
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• 2005

The effective development of event product for a successful event is first started with figuring out the participation motive of event. Second, what level of expectation before participating event for participant will have. Third, what level of satisfaction and safety satisfaction based on figured out motive and expectation will participant have. Fourth, what level of revisit based on satisfaction will have. The study is needed for these low items. Therefore, this investigation started as an exploratory study for a successful event to analysis the relationship among expectation satisfaction, safety satisfaction and revisit. The results indicated that participated motive is positively influenced on expectation. The expectation is positively influenced on safety satisfaction. The satisfaction is positively influenced on revisit. Finally, the safety satisfaction is positively influenced on revisit. The unique characteristics of this study is considered a safety satisfaction as m event safety and as an important factor when terror becomes often these days.