• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.342-351
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• 2010

This study aims to investigate the major causes of conflict between clients and vendors in the outsourced IS development. A research model is established based on the prior research of IS outsourcing, system development and conflict. An empirical study was executed using 214 survey questionnaire of project teams composed of client and vendor with PASW 18.0. Research results using multiple regressions show that contract specificity, requirements certainty, objective alignment and client knowledge have negative effects on conflict. This research results will provide various implications for outsourcing project success.

• Journal of Korea Technology Innovation Society
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• v.13 no.4
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• pp.738-757
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• 2010

Generally, it is known that the agglomeration economies appear in some industry clusters which were developed naturally. But, in Korea, most of industry clusters were built by government. This research was carried out to evaluate the performance of governments zoning investment, in other words, industry cluster policy. In this research, we use the data of manufacturing firms in Kyunggi-province. For the microeconomic analysis, we use the KIS-VALUE data of 2008. As the empirical test methods we use both multiple regressions and Propensity Score Matching. In conclusion, there is no evidences that firms in industry cluster have better performances. Surprisingly, in PSM analysis, we find the evidence that firms in industry cluster show less innovative performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.811-822
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• 2020

This study investigates the gender differences in determinants of customers' satisfaction when purchasing online beauty and cosmetics products in Vietnamese market. To do so, we construct a data set via online survey of 419 Vietnamese customers including both males and females, and examine such sample using t-tests and multiple regressions. Our regression model is constructed based on our five-construct model including online shopping experience, customer service, external incentives, security and privacy, and personal characteristics. The t-tests results reveal that the mean difference of customer satisfaction (negative coefficient) between the two groups of customers (females and males) is statistically significant. This suggests that the purchasing satisfaction of male customers is significantly higher than that of their female counterparts. Similarly, we also find that male customers are more satisfied with their online shopping experience, customer service and external incentives offered by the online sellers than female peers. Furthermore, regression results for full sample show that, on average, the online shopping experience, customer service and external incentives are significantly and positively related to customer satisfaction. Yet, such positive effect of customer service on customer satisfaction is more likely for males while females' satisfaction is more positively influenced by security and privacy.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.433-442
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• 2020

This study investigates the impact of fiscal transfer, specifically the Village Fund Transfer, on rural income inequality and rural poverty. Studies on fiscal transfer offers contrasting outcomes, some argues that fiscal transfer suppresses wealth disparity, while others argue that it tends to widen disparity. This study employs descriptive analysis in estimating the elasticity of income inequality and poverty rate before and after the Village Fund Transfer. It develops multiple regressions model on panel datasets of 33 provinces in Indonesia before and after the implementation of Village Fund Transfer. This study suggests that the elasticity of income inequality is higher after the implementation of village fund transfer. Rural poverty tends to decline annually, however, the elasticity changes is lower after the implementation of village fund transfer. Furthermore, this study suggests that village fund transfer is insignificant in coping with the issue of income inequality, while education and the level of labor productivity of agricultural sector appears to be the determinant factor in tackling the issue of income inequality in the rural areas. This study further reveals the significance of village fund transfer in suppressing the rural poverty rate. This study also highlights the significance of human resources quality and agricultural sector in reducing poverty rate in rural areas.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.201-210
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• 2020

This study aimed to analyze the influence of the industrial growth and the effect on government tax potential of the South Sulawesi Province. The growth of the tax object affects government tax potential of South Sulawesi Province. Environmental resources affect government tax potential of the province. The study used multiple linear regressions on primary data. The population consisted of all officers and staff involved in regional work units. Revenue Service area in South Sulawesi Province counts 630 employees. The sampling method is purposive sampling random carried out based on specific objectives. The respondent qualifications are taken from the Technical Implementation Unit Office and the Department of Revenue. The number of respondents is 96 from the Head of UPTD and three of them are related with tax Section Chief Officer. The results showed that industrial growth has a significant and positive effect on the potential increase in tax of South Sulawesi. Growth in tax object significantly affects the potential increasing tax of South Sulawesi. Environmental resources significantly affect the potential Increase in tax. Practical recommendations for local government is to enhance tax potential, reduce bureaucracy in industrial licensing, and facilitate local farmers to get involved in economic contributions.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.4
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• pp.525-535
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• 2013

Purpose: The purpose of this study was to analyze factors affecting work engagement and burnout among clinical nurses according to resilience. Methods: The study design was a descriptive survey and questionnaires were collected from 182 clinical nurses who worked in hospitals in "J" province. Data were analyzed using frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA, Scheff$\acute{e}$ test, Pearson correlation, and hierarchical multiple regressions. Results: The mean score of resilience, work engagement, burnout were $3.47{\pm}0.38$, $4.29{\pm}0.98$, $2.25{\pm}0.82$ respectively. Resilience had 26.3% of the influence on work engagement and 50.5% of the influence on burnout. Sub-variables of causal analysis and empathy of resilience were statistically useful as factors influencing burnout. Conclusion: Resilience has been identified as a factor affecting work engagement and burnout. Therefore, nursing departments and nurse managers should strive to develop programs for the promotion of resilience.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.31-48
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• 2014

The concept of Health Related Quality of Life and its determinants have evolved since the 1980s. Although many researchers have published articles of technology usage in hospitals and the installation of technology based healthcare system, the research about applying the information technology to improve the patients' perceived quality of healthcare services is still limited. In general, services are deeds, processes and performances that are essentially concerns of the consumer. The healthcare service quality depends on tangible factors, such as equipments, facilities, and the quality of hospital staff and also the intangible ones. The main purpose of this work is to establish new model and find out the contribution of information technology to enhance the patients' perceived quality of healthcare service. We attempted to examine the main information technology related factors in 3 aspects, namely quality of information, the technology accessibility and the community that can improve patients' perceived quality of healthcare services. Offline and online questionnaires were used to measure the patients' perceived quality and were distributed to 384 people in 2 countries, Laos and South Korea. A principle component analysis and multiple regressions were used to verify our model. Results show that the use of information technology has partial positive effect on patient-physician interaction in both countries. However, patient knowledge and patient autonomy which are the 2 dimensions of patient-physician interaction has significant positive effect on patients' perceived quality of healthcare service.

• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.4
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• pp.357-365
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• 2020

Purpose: This study examined the effects of a gender-friendly environment and the communication competence of male nursing students on college life adaptation. Methods: The participants included 221 male nursing students from the nursing departments at five universities. Data were collected using self-report questionnaires and analyzed using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and multiple regressions with SPSS/WIN 18.0. Results: The participants' scores on the gender-friendly environment, communication competence, and college life adaptation were 58.41±10.96, 56.19±7.32, and 117.37±16.86, respectively. Factors influencing male nursing students' college adaptation included satisfaction with major, communication competence, academic grade, and economic level. These variables together explained 59% of college adaptation in male nursing students (F=26.74, p<.001). Conclusion: The findings demonstrate that the development and application of educational programs for communication competence and a gender-friendly educational environment are essential in enhancing the adaptation of male nursing students to college life.

• Journal of Families and Better Life
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• v.31 no.3
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• pp.113-124
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• 2013

This study investigated the relationship between school-age children's overt/covert narcissism with self-control and mothers' parenting. The subjects were 517 children in the 5th and 6th grades attending elementary schools located in Daegu and Gyeongbuk Province. The collected data were analyzed by t-test, Pearson's correlation, multiple regressions and SPSS Win 19.0 was used. The results were as follows: (1) School-age children's overt narcissism differed in boys and girls. However, this was not the case for covert narcissism. (2) The overt narcissism of school-age boys and girls was positively correlated with self-control. However covert narcissism was negatively correlated with self-control. (3) The active-responsive and active-restrictive parenting of mothers influenced on the overt narcissism of school-age boys, while the active-responsive parenting of mothers influenced the overt narcissism of school-age girls. Also, the active-responsive and active-restrictive parenting of mothers influenced the covert narcissism of school-age boys, while the active-responsive and passive-permissive parenting of mothers influenced the overt narcissism of school-age girls. (4) The active-restrictive parenting of mothers was the most powerful factor in the overt/covert narcissism of school-age boys and the covert narcissism of school-age girls.

• Asia Pacific Journal of Business Review
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• v.1 no.1
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• pp.1-22
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• 2016

The prediction of prices of agricultural products in the agriculture IT sector plays a significant role in the economic life of consumers and anyone engaged in agricultural business, and as these prices fluctuate more often than do other prices, the prediction of these prices holds a great deal of research promise. For this reason, academic literature has provided studies on the factors influencing the prices of agricultural products and the price index. However, as these factors vary, they are difficult to predict, resulting in the challenge of acquiring quantitative data. China is one example of a country without a reliable prediction system for prices of agricultural products. Fortunately, disclosed heterogeneous data can be found on the Internet, which allows for the effective collection of factors related to the prediction of these product prices through the use of text mining. The data provided online is valuable in that they reflect the opinions of the general public in real-time. Accordingly, this study aims to use heterogeneous data from the Internet and suggest a model predicting the prices of agricultural products before functional analyses. Toward this end, data analyses were conducted on the Chinese agricultural products market, one of the largest markets in the world.