• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.726-741
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• 2022

The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.105-124
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• 2022

Purpose: The purpose of this study is to examine the factors that influence the pre-use expectation and the continuous usage intention of the OTT services. Methods: For empirical analysis, the survey for this study was administered with many anonymous people who had previously used any of the OTT services and valid 192 data were analyzed by SPSS and PLS-SEM. Results: The results of this study are as follows. Personalization and understandability in the information quality didn't significantly affect confirmation. Ease of use and search of the system quality significantly affected confirmation. Also, it was found that content diversity, content recency, and content playfulness as the characteristics of the content quality significantly affected the expectation confirmation. OTT service fees also significantly affected the expectation confirmation. It also significantly affected perceived usefulness and satisfaction. Finally, satisfaction positively influenced the continuouse intention to use. Conclusion: The findings of this empirical analysis shows that the specific characteristics related to the relationship of expectation confirmation, perceived usefulness, satisfaction, and continuous usage intention with respect to OTT services through the Post Acceptance Model (PAM). Because system quality, content quality, and service fees meeted users' expectations, OTT services need a strategy that can boost the users' positive perceptions or experiences by reinforcing these three factors.

• The Korean Journal of Franchise Management
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• v.1 no.1
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• pp.1-17
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• 2010

This study aims to analyze the relationship between the expectation of franchisees to their franchisers before contracting and perceived performance after actually operation. The analysis data was collected from 789 franchisees located in Seoul and Gyeonggi-do of South Korea. The findings are as followings: first, the gap between expectation of franchisees and perceived performance was negative and it becomes an necessary for franchise managers to manage the expectation of franchisees by using various effective marketing strategies. Second, the gaps were different among different franchise industrial classifications and the gap in the food-service industry is the largest.

• 한국노년학
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• v.29 no.4
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• pp.1413-1425
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• 2009

The objective of the work is to analyze the factors affecting on changes in filial piety responsibility expectation. For the analysis, this study focuses on the two factors-aging effect and cohort effect. This work analyzes the 4 wave Hallym Aging Panel Data with random intercept model. In the study cohort is divided by the criteria of birth year 1940. and the former cohort is called colony-war cohort and the latter cohort is called industrialization-democratization cohort. The results are in following. First, older cohort shows higher filial piety responsibility expectation score than younger cohort. Second, age shows no relationship with filial responsibility expectation score. Third, male and resident in rural area shows higher score. Forth income, year of schooling, and subjective health show negative relationship with responsibility score.

• Journal of Korea Multimedia Society
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• v.23 no.7
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• pp.883-890
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• 2020

In this paper, we propose a variational expectation-maximization algorithm that computes posterior probabilities from Latent Dirichlet Allocation (LDA) model. The algorithm approximates the intractable posterior distribution of a document term matrix generated from a corpus made up by 50 papers. It approximates the posterior by searching the local optima using lower bound of the true posterior distribution. Moreover, it maximizes the lower bound of the log-likelihood of the true posterior by minimizing the relative entropy of the prior and the posterior distribution known as KL-Divergence. The experimental results indicate that documents clustered to image classification and segmentation are correlated at 0.79 while those clustered to object detection and image segmentation are highly correlated at 0.96. The proposed variational inference algorithm performs efficiently and faster than Gibbs sampling at a computational time of 0.029s.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.1
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• pp.74-81
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• 2007

Purpose: This study focuses on doctors' role expectation and patients satisfaction with the referral centers to get necessary basic Method: There were 495 subjects in this study. 245 of them were doctors working in the 397 clinics and hospitals which have made contracts with the referral center in Y General Hospital located in J city, and 250 were patients who had been treated in it. The data were collected from Sep. 25 to Oct. 21, in 2006. Data analysis was processed with SPSS/WIN 14.0 electronically. Results: Concluding cooperative treaties with other clinics and hospitals, doctors expect the following effects: First, the improvement of the treatment quality of patients. The patients satisfaction ranking order for using referral centers is as follows: kindness of the staff, treatment reservation, doctor's satisfying explanation. providing one-stop service, reduction of waiting time for treatment, evasion of repetitive tests. Conclusion: Referral centers should provide various services totally and actively which reflect the role expectation and satisfaction of doctors and patients altogether.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.181-192
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• 2008

This study investigated the usefulness of Consumer Expectation Index to predict real household spending. Specifically, the forecasting impact of the index on clothing, eating-out, entertainment, education, and health consumption area was examined. The results showed that the CEI was a good indicator for the future household spending of clothing, eating-out, entertainment and total consumption but it was not true for the spending of education and health. Most of CEls were significantly correlated with household spending even when household income and CPI were controlled. The impact of CEls on household spending tended to be lagged by one or two quarters.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.71-72
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• 2012

The purpose of this study is to evaluate the depth of carbonation considering the relative humidity in concrete using the FEM model. The difference of relative humidity in concrete has not been considered in calculating the carbonation depth in analytic model. That reason can make the over estimation in expectation of RC structure durability. The temperature and R.H. expectation model and the carbonation depth expectation model are development in past author's studies. The two models are coupled in this study. The fact that there is the difference between actual environment and acceleration test is revealed from FEM numerical analysis.

• Asia pacific journal of information systems
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• v.26 no.3
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• pp.449-476
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• 2016

This study examines how an initially perceived product value affects consumer's purchase intention after reading online reviews with various tones. The study proposes that associations among initially perceived overall product value, degree of confirmation resulting from reading the reviews, and final purchase intention differ across review tones such that 1) when the tone is favorable, the effect of an initially perceived product value is stronger than when the tone is critical, and 2) when the tone is extreme, the effect of confirmation is stronger than when the tone is moderate. The survey was conducted with 276 online shopping mall users in Korea, and most of the hypotheses were supported. This study asserts that the effects of online reviews should be considered together with customer's level of expectation formed prior to reading online reviews, which resulted from extensive search and screening processes that the customer went through before reading online reviews.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.499-509
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• 2020

We compared and analyzed the relationship between vote intention, vote expectation, and party approval rate using the 19th Presidential Election and the 7th Nationwide Simultaneous Local Election (Regional Local Government Election) poll data. The case study provides an alternative method of predicting the winner using vote expectation and a party approval rate that can improve the accuracy of election forecasting.