• Korean Journal of Adult Nursing
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• v.18 no.2
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• pp.213-222
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• 2006

Purpose: This study was designed to construct a structural model for explaining model health-related quality of life in acquired people with physical disabilities. Method: The hypothetical model of this study was consisted of 6 latent variables and 14 observed variables. Exogenous variables included in this model were physical status and economical level. Endogenous variables were social attitudes, family function, self-esteem, and health-related quality of life. Data were collected from 226 acquired people with physical disabilities residing in Seoul and Kyunggi-do from January to February, 2005. The collected data were analyzed using SAS 8.2 version and LISREL 8.32 version program. Results: The results of the fitness test of the modified model were follow as; ${\chi}^2=67.479$ (df=50, p=.05), GFI=.959, AGFI=.914, SRMR=.049, NFI=.961, NNFI=.979, CN=249.244. Health-related quality of life was influenced directly by physical status, economic level, and social attitudes and accounted for 88.8% of the variance by these factors. Conclusion: These results suggest that physical status is the most significant effect on health-related quality of life, and social attitudes and economic level are important factors having influences on health- related quality of life. Therefore improving physical status and economic level, and modifying negative attitudes are necessary to increase health-related quality of life of acquired people with acquired physical disabilities.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.273-288
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• 2012

In recent years, smartphone is the most widely used ubiquitous functionality. People do not want to just call other people any more by using a cellular phone; they want to connect to the Internet and use various applications. Hence, cellular phones need to become smart. A smartphone has an operating system and many applications. Specifically the goals of this research are; (1) to suggest theory framework of acceptance about smartphone based on TAM, (2) to examine relationships between exogenous variables. The research model and hypotheses were developed based on the theories of technology acceptance model. Questionnaire was used to collect data. The analysis of this study is designed as individual level to examine the causal relationship among variables. The the reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that social norms and individual innovation are major influential variables on the perceived usefulness of smartphone. Also, social norms are influential variables on the perceived enjoyment of smartphone.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.185-203
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• 2011

In recent years, blogs have become important resources for information sharing; and tourism blogs are providing a new way of sharing tour experiences. Blogs are becoming very popular amongst web users to share their life experiences with other web users around the world. Specifically the goals of this research are; (1) to suggest theory framework of acceptance and user satisfaction about toruism blogs based on TAM, (2) to examine relationships between exogenous variables and (3) to suggest effectiveness of tourism blogs in a marketing perspective. The research model and hypotheses were developed based on the theories of technology acceptance model. Questionnaire was used to collect data. The analysis of this study is designed as individual level to examine the causal relationship among variables. The the reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that interaction, entertainment, system quality and information quality are major influential variables on the perceived usefulness of tourism blog. Also, entertainment and system quality are influential variables on the perceived ease of use of tourism blog.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.32 no.2
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• pp.100-111
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• 2024

This study was conducted to explain airport users' acceptance intention for untact smart devices being introduced at Incheon Airport. Based on the technology acceptance model, perceived usefulness and ease of use influenced attitudes and intention to use. It was verified whether it was affecting the effect. In addition, variables proposed in innovation diffusion theory were selected to verify exogenous variables that affect perceived usefulness and ease of use, which serve as key independent variables in the technology acceptance model. Research results show that perceived usefulness has a high level of positive influence on attitude, whereas perceived ease of use has a low influence and does not show a statistically significant influence. In addition, it was confirmed that most variables of the innovation diffusion theory had no effect on usefulness and ease of use. This means that the key variable in the spread and use of untact smart devices at airports is the perception of usefulness, which means that resistance to accepting new technology is not high.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.315-330
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• 2005

The primary purpose of this study was to examine the relationships between service quality, Place attachment and destination loyalty in the local festival field. Sampling was conducted at the Flower Blossom Festival in Juju, 2004. Data were collected through on-site surveys by face-to-face interview for three days-between April 4th and April 6th. Data analyses were carried out by using structural equation model. Two hypotheses were tested to represent the relationships between exogenous and endogenous variables. The exogenous variable selected for this study is service quality Endogenous variables are place attachment and destination loyalty. The findings provided a supported structural model of the relationships between service quality, place attachment and loyalty. Festival visitors who perceive high service quality tend to have high place attachment that leads to the intention to revisit and positive word-of-mouth to others. The results of this study suggest that festival managers need to understand visitors' perception of service quality, place attachment in order to better predict their destination loyalty.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.357-370
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• 2022

In this paper, Tobit and Heckit models are introduced. These models have been used for analyzing censored data. Censoring occurs at a specific point and a large number of observations are distributed with a positive probability at a certain point. Censoring can occur due to observing limitation or exogenous variables. Tobit and Heckit models are used to correct sample selection bias, which can occur when an ordinary linear regression model is fitted to censored data. However, the difference between the two models is not clearly accounted for; hence, they have often been used interchangeably. Therefore, the suitability of the models was validated through simulated data, and demonstrated through real data. As the result, it was confirmed that both Tobit and Heckit models are well-fitted to the data censored due to observing limitation, although Tobit model was fitted parsimoniously. In contrast, only Heckit model is well-fitted to the data censored due to exogenous variables.

• Journal of Korea Trade
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• v.25 no.3
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• pp.48-64
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• 2021

Purpose - This study examined the effect of tariff cuts on productivity in Korea's manufacturing industries and the effect of initial productivity level before tariff cuts on productivity improvement after tariff cuts. We also attempted to identify whether import-driven or export-driven factors are more important for productivity improvement, especially in low productivity industries. Design/methodology - Since tariff reduction is a policy decision that can affect cross-industry, its impact is spread across all industries beyond the scope of a single firm through the input and output network of industry structure. Accordingly, we proposed a new method to measure the change in productivity to reflect the impact of tariff cuts across industries. Through an Armington CGE analysis, changes in endogenous variables can be directly measured after the exogenous shock of tariff reduction, and the amount of movements in productivity triggered by tariff cuts can also be calculated. We can thus assess the effectiveness of exogenous policy, such as tariff cuts, through the difference between the benchmark and counterfactual values of endogenous variables. Findings - This study confirmed that tariff reduction positively affected productivity improvement in Korea's manufacturing industries. It also confirmed that productivity gains occur in Korea's leading export industries. Finally, greater productivity gains were recorded in the group with additional high-export-share or high-import-share conditions for low productivity industries. These results are, in a limited sense, consistent with the existing studies that emphasize the importance of exports and imports on productivity improvement, especially for low productivity industries. Originality/value - The results of our experiments are different from those of non-CGE studies, which measure the industry-level change in productivity with dummy coefficients, in terms of directly calculating the amount of change in productivity. In addition, we propose that the Armington CGE model is more appropriate than the Melitz CGE model to directly measure the productivity after tariff cuts. This is because the Melitz CGE model assumes the given specific productivity density, which does not change after an overall drop of tariffs. To the best of our knowledge, this approach to directly calculating productivity by reflecting the impact of tariff reduction across industries through CGE analysis, is unprecedented in this literature.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.312-320
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• 2013

Purpose: The purpose of this study was to test a model for quality of life among infertile women. This model was based primarily on the concept of the Fertility Quality of Life by Boivin et al. (2011) and the Infertility Resilience Model by Rindenour (2009). Methods: Fifteen measurable variables were used to estimate quality of life. They included endogenous variables such as fertility quality of life and resilience, and exogenous variables such as infertility related stress, depression, marital adjustment, and family support. Data sets (n=203) used for analysis were collected in a general hospital which had, on average, 400 assisted reproductive technologies per month. Results: The assessment of the modified model indicated acceptable fit, with $x^2/d.f$=2.07, GFI=.90, AGFI=.89, NFI=.89, CFI=.91, RMSEA=.07. Depression, infertility related stress, marital adjustment, resilience, and family support had direct influences on quality of life. Conclusion: The results of this study should contribute to the development of nursing intervention programs to enhance quality of life using factors that affect fertiQol (fertility quality of life) of infertile women.

• Journal of the Korean Institute of Rural Architecture
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• v.11 no.2
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• pp.29-36
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• 2009

The recently research shows that the many tourists of Suanbo hot spring waters haven't satisfied the service. These reasons due to that they did not properly consider the satisfaction of tourists' services and index. However, satisfaction level of hot spring waters tourists is interacted complicatedly with various factors, the interactions are not easily identified. A structural equations model is adopted to capture the complex relationships among variables. In the model estimation, we used 140 survey data of Suanbo hot spring waters tourists. The SEM with several factors mentioned above as exogenous variables shows that they have complex and strong relationships. As results of a SEM, it was shown that variables influencing in pleasance are surrounding scenery, clean condition inside hot springs and congestion for use in satisfaction level most. Secondly, in case of kindness, attitudes of employees influence in satisfaction level most, followed by attitudes of residents and kindness of employees. Thirdly, in case of information, it was shown guidance on internal roads influencing in satisfaction level most, followed by guidance on owner drivers, guidance on surrounding tourist attractions and guidance on public transportation. Finally, a variable influencing in accessibility most is satisfaction level of public transportation.

• Journal of Construction Engineering and Project Management
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• v.3 no.3
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• pp.35-41
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• 2013

All infrastructure projects are said to be inter-dependent, uncertain and labour-intensive in nature. There is no exception for building services sub sector. For a real time project such as 'The construction, extension and refurbishment of Employees' State Insurance Corporation (ESIC) Hospital at Tirupathy, India with total area of 45,000 square feet at an estimated cost of 1100 million rupees, a generic process model is developed to simulate the effect of set of identified variables on construction project. The 'Stocks and Flows' of dynamic model affords relevant insights to project managers, who apply this knowledge when designing better performance through more appropriate project planning. It is concluded from the model-based approach that building services works can be improved through specific better focussed managerial efforts, such as an increasing coordination effectiveness at the planning stage, clarifying prerequisite conditions prior to installations. Otherwise, pending works arising from work clashes can lead to knock-on effects resulting in productivity constraints and pressures, as well as more rework and demolition. Current study reveals that the model enables deep insight into various interdependent processes, their by improving construction performance levels, by addressing the dynamics of design errors and defective works, and recovering delayed schedule.