• Korea journal of population studies
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• v.8 no.2
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• pp.46-67
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• 1985

In this paper, an attempt has been made to examine the pattern of mortality in Korea during 1970~80. By applying the age-sex specific mortality rates quoted from 1978~79 life tables for Korea published by NBOS, EPB to those of the West pattern of regional model life tables and the far eastern pattern of model life tables for developing countries, life expectancy at birth were calculated. Also the author reviewed the trends of death rates, life expectancy and cause of death using vital registration data and other materials. Summarized results are as follows; 1. Crude death rates in Korea was reduced to one fifth in the 1983 compared to that in 1920's. Life expectancy also improved to almost double in 1985 compared to 1920's. But the difference in the life expectancy between male and female increased during that period and it was recorded as 6.4 years in 1985. This discrepancy was mainly due to the different tempo of decreasing in mortality level by sex, particularly, for the age 40 and above. 2. For the pattern of mortality in Korea, it showed that female mortality could accounted closer to the West pattern model life tables. There were high similarity between actual pattern prevalent in Korea and West pattern. And its coefficient of variance was also very low. However for the case of male, it was difficult to find the exact model life tables for explaining the actual situation on the male mortality pattern which means exist considerable dissimilarity in older ages. The Far eastern pattern of U.N. model life tables show better results than West pattern, however, the deviation of the pattern to actual was severe. Also in Far eastern pattern, high coefficient of variance was existed. Furthermore it was found in the paper that the mortality level of Korean male for the age 40 and above were much higher than that of Far eastern pattern which was reflected the high mortality of the male adult in Far east region. 3. The analysis of cause of death showed that circulatory disease such as cerebrovascular disease and hypertensive disease accounted for the leading cause of death in Korea for the age 40 and above. There should he paid special attention to chronic retrogressive diseases for the older age groups. For younger age groups, injury and poisoning were reported as important cause of death.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.101-114
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• 2021

This study aimed to analyze the degree of consumers' expectations for their performance and efforts in using overseas direct purchase, impact of overseas direct purchase on the society, and effect of price value to their intention to use overseas direct purchase in the future. In addition, the significance of overseas direct purchase on the user-perceived availability is empirically analyzed. As a result of the study, it was confirmed that performance expectancy, effort expectancy, social influence, and price value showed significantly positive effect on the intention to use overseas direct purchase in the future. With respect to the perceived availability in using overseas direct purchase, it was found out that effort expectancy and price value had significantly positive effect; however, it appeared that performance expectancy and social influence had no significant effect on the perceived availability of the users.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.353-359
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• 2021

Information technology and the need for timely and effective communication during the Covid-19 have made most governments adopt technological approaches to provide their services. E-government services have been adopted by most governments especially in developed countries to quickly and effectively share information. This study discusses the reasons why governments in the Gulf region should develop a new model for information technology knowledge management practices. To achieve this, the author identified possible benefits of adopting information technology knowledge management practices and why most governments in the Gulf find it hard to adopt them. Knowledge management allows for learning, transfer as well as sharing of information between government organizations and citizens and with the development of technology, the effectiveness of electronic services can easily be achieved. Also, effective adoption of information technology can improve knowledge management with the help of techniques that enhance capture, storage, retrieval as well as sharing of information. The author used systematic literature review to select 28 journals and articles published post 2019. IEEE, Google Scholar and Science Direct were used to select potential studies from which 722 journals and articles were selected. Through screening and eligibility assessment, 21 articles were retained while the back and forward search had 7 more articles which were also included in the study. Using information gathered from these articles and journals a new conceptual model was developed to help improve information technology knowledge management for governments in the Gulf region to effectively deliver e-services during Covid-19. This model was developed based on the process of KM, Theory of Planned Behavior and Unified Theory of Acceptance and Use of Technology. Based on the developed model. From UTAUT model, performance expectancy, effort expectancy as well as social influence had a great impact.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.199-211
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• 2021

This study analyzed the factors that influence the domestic SMEs that have introduced smart factories on their intention to accept at a higher level for qualitative advancement. 375 copies collected through an online survey were analyzed using SPSS and AMOS with UTAUT and the extended two-stage information system continuous model. Performance expectancy, effort expectancy, social influence, and facilitating conditions have a statistically significant effect on user satisfaction and user satisfaction and CEO's will have an effect on the intention to accept the advancement. However, the suppliers' technology didn't have a direct effect on the advancement acceptance intention and user satisfaction has a mediating effect between performance expectancy, effort expectancy, social influence, facilitating conditions and the advancement acceptance intention. SME's advancement for smart factory, it is important to improve the satisfaction level and the CEO's will to become smart.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.301-313
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• 2022

This study aims to investigate the causal relationship between variables of UTAUT2 model and the acceptance intention by Netflix and Wavve intention to adopt and acceptance intent by plan package. The results indicate that (1)First, the intention of Netflix adoption was influenced by performance expectancy, effort expectancy, hedonic motivation, price value, and habit; (2) the intention of wave adoption was influenced by performance expectancy, social influence, price value, and habit. (3)in the acceptance intention of Netflix's acceptance intent by plan package, price value and habit, performance expectancy and habit influenced on the acceptance intent of premium plan, and did not affect the standard plan; (4) in the acceptance intention of the basic plan by the Wavve plan, the price value had a negative effect on the acceptance intention of the basic plan, and the habit had a positive effect.The social impact on the acceptance intention of the standard rate plan, the price value and habit of the acceptance intention of the premium rate plan were affected.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.593-615
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• 2022

Purpose: The purpose of this study was to explore and examine the factors influencing customer satisfaction and subscription intention in order to propose useful implication regarding subscription economy model. Methods: This study adopts the extended Unified Theory of Acceptance and Use of Technology model (UTAUT2) as the theoretical framework. On the basis of literature review, this study suggested 9 related hypothesis. To examine the hypothesis proposed, the study designed surveys with 32 questions and 456 answers were collected for the analysis. The study adopted a structural equation model and path analysis, using AMOS and SPSS programs. Results: The results of this study are as follow: All hypothesis except performance expectancy and effort expectancy have significant influence on customer satisfaction. Performance expectancy and effort expectancy have no significant influence on customer satisfaction and facilitate condition is significant but negatively associated with customer satisfaction. Conclusion: Result of this study is expected to suggest data regarding subscription economy and customer satisfaction for business with subscription model. In detail the result implies that highly sophisticated curation system would create more customer satisfaction and subscription intention rather than how a subscription-based platform is easily used. Moreover, curation system of subsription-based music platform should function with high accuracy on recommendation in a creative visual form in order to gain comparative advantage while most platforms have built own curation service.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.95-102
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• 2023

This study was to identify the factors affecting nurses' use intention of digital healthcare and the moderating effect of clinical career based on the UTAUT model. The items were composed by performance expectancy 3 items, facilitation condition 3tiems, and perceived risk 3 items. CFA was performed to verify the construct validity. As a results, average variance extracted (AVE) was .5 or higher, and construct reliability (CR) was .7 or higher. Model fit was confirmed as CMIN/df=1.797, GFI=.955, CFI=.979, TLI=.968, IFI=.979, and RMSEA=.063. The internal reliability was .93 for performance expectancy, .84 for facilitating conditions, and .64 for perceived risk. Performance expectancy, facilitating condition, and perceived risk had a significant effect on use intention, and clinical career showed a moderating effect(t=-2.159, p=.032). Therefore, in order to enhance the use intention of digital health care, performance expectancy, and facilitating conditions should be raised and perceived risk should be reduced.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.43-61
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• 2022

Purpose: The purpose of this study was verifying factors that affect to intention to use AI financial services and finding a way of building an user oriented AI ecology. Methods: This study used the UTAUT (Unified Theory of Acceptance and Use of Technology) model with independent variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, trust, personal innovativeness and AI understanding as moderating variable. The data was collected through online & offline survey with questionnaire from 330 financial customers. Results: As a result, the analysis suggested that the performance expectancy, social influence, facilitating conditions, personal innovativeness are statistically significant to the intention to use AI. It was also found that AI knowledge of users differently influence the intention to use through the moderating effect on the facilitating conditions. Conclusion: Performance expectancy, social influence, facilitating conditions, personal innovativeness have positive causation to the intention to use in AI financial service. On the facilitating conditions, unlike other variables, it was found that the user's intention to use was different by the level of AI understanding. It means that customers could have the strong intention to use AI even though they don't have enough pieces of knowledge on the factors. Customers seem to be of recognition that the technology has certain benefits for themselves. The facilitating factors are significantly affected by AI understanding and differently effect on the intention to use AI.

• Journal of Korean Academy of Nursing
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• v.32 no.1
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• pp.77-88
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• 2002

The purpose of this study was designed to develope and test the structural model that explains alcohol consumption behaviors among university students in Republic of Korea. The hypothetical model was constructed on the basis of the literature review and Pender's Health promotion model. Data was collected from questionnaires from 512 university students in Republic of Korea, from August to September, 2000. The reliability of instruments was adequate (Cronbach's alpha= .69-.90). Data analysis was done with SAS 6.12 for descriptive statistics and LISREL 8.13 program for covariance structural analysis. The results are as follows; 1. The overall fit of the hypothetical model to the data was moderate. Thus it was modified by male and female models. 2. The revised model has become parsimonious and had a better fit to the empirical data (male: χ2=87.21 p=.00, GFI=.97, AGFI= .94, NFI=.99, NNFI=1.0, CN=619.17, female: χ2=49.29 p=.31, GFI=.45, AGFI= .95, NFI=.99, NNFI=1.0, CN=370.02). 3. Self-efficacy was most significant factor and personality of novelty seeking, reward compensation, alcohol expectancy and drinking attitude have significant effects on male alcohol consumption behavior. 4. Personality of novelty seeking was most significant factor and personality of harm avoidance, friend influence, self-efficacies, alcohol expectancy and drinking attitude have significant effects on female alcohol consumption behavior.

• Knowledge Management Research
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• v.19 no.3
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.