• Culinary science and hospitality research
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• v.18 no.4
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• pp.27-46
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• 2012

Organizational factors and personal traits are two elements of widely acknowledged relevance in employees' organizational outcomes in hotel industry. Personal traits especially need to be further examined as a consideration for employment. As one of the personal traits that provide capability to manage emotions, emotional intelligence is selected. The empirical objective of this study is to investigate the effects of emotional intelligence on job satisfaction and organizational commitment in a structural model. To conduct research questions, five star deluxe hotel employees in Korea are targeted to be surveyed. Descriptive statistics and multivariate analysis of variance, and structural equation modeling(SEM) are utilized employing SPSS and AMOS 4.0 to analyze the survey results. It was found that the components of perceiving emotions and understanding emotions predicted job satisfaction. Relatively perceiving emotions presented a higher impact on each dimension of job satisfaction. Satisfaction with co-workers and communication can also explain the level of hotel employees' organizational commitment. Broadly speaking, the results suggest that effective psychotherapeutic or reciprocative programs should be integrated into hotel training contents for emotional intelligence development.

• Journal of Bio-Environment Control
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• v.29 no.3
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• pp.277-284
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• 2020

To increase the utilization of the intelligent methodology of smart farm management, estimation modeling techniques are required to assess prior examination of crops and environment changes in realtime. A mandatory environmental factor such as CO₂ is challenging to establish a reliable estimation model in time domain accounted for indoor agricultural facilities where various correlated variables are highly coupled. Thus, this study was conducted to develop an artificial neural network for reducing time complexity by using environmental information distributed in adjacent areas from a time perspective as input and output variables as CO₂. The environmental factors in the smart farm were continuously measured using measuring devices that integrated sensors through experiments. Modeling 1 predicted by the mean data of the experiment period and modeling 2 predicted by the day-to-day data were constructed to predict the correlation of CO₂. Modeling 2 predicted by the previous day's data learning performed better than Modeling 1 predicted by the 60-day average value. Until 30 days, most of them showed a coefficient of determination between 0.70 and 0.88, and Model 2 was about 0.05 higher. However, after 30 days, the modeling coefficients of both models showed low values below 0.50. According to the modeling approach, comparing and analyzing the values of the determinants showed that data from adjacent time zones were relatively high performance at points requiring prediction rather than a fixed neural network model.

• Journal of Korea Water Resources Association
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• v.31 no.6
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• pp.821-832
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• 1998

This study investigates the prediction of daily water supply, which is a necessary for the efficient management of water distribution system. Fuzzy neuron, namely artificial intelligence, is a neural network into which fuzzy information is inputted and then processed. In this study, daily water supply was predicted through an adaptive learning method by which a membership function and fuzzy rules were adapted for daily water supply prediction. This study was investigated methods for predicting water supply based on data about the amount of water supplied to the city of Kwangju. For variables choice, four analyses of input data were conducted: correlation analysis, autocorrelation analysis, partial autocorrelation analysis, and cross-correlation analysis. Input variables were (a) the amount of water supplied (b) the mean temperature, and (c)the population of the area supplied with water. Variables were combined in an integrated model. Data of the amount of daily water supply only was modelled and its validity was verified in the case that the meteorological office of weather forecast is not always reliable. Proposed models include accidental cases such as a suspension of water supply. The maximum error rate between the estimation of the model and the actual measurement was 18.35% and the average error was lower than 2.36%. The model is expected to be a real-time estimation of the operational control of water works and water/drain pipes.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.78-91
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• 2017

In this study, we conducted a comparative study on user's perception and behavior on public system service (PSS) using institutionalism theory and MGA (multi-group analysis) methodology. In particular, this study focuses on how institutional isomorphism is applied to public system services and how MGA can be implemented correctly in a variance based SEM (structural equation model) such as PLS (partial least square). A data set of 496 effective responses was collected from pubic system users and an empirical research was conducted using three segmented models categorized by public proximity theory (public firms = 113, government contractors = 210, private contractors = 173). For rigorous group comparisons, each model was estimated by the same indicators and approaches. PLS-SEM was used in testing research hypotheses, followed by parametric and non-parametric PLS-MGA procedures in testing categorical moderation effects. This study applied novel procedures for testing composite measurement invariance prior to multi-group comparisons. The following main results and implications are drawn : 1) Partial measurement invariance was established. Multi-group analysis can be done by decomposed models although data can not be pooled for one integrated model. 2) Multi-group analysis using various approaches showed that proximity to public sphere moderated some hypothesized paths from quality dimensions to user satisfaction, which means that categorical moderating effects were partially supported. 3) Careful attention should be given to the selection of statistical test methods and the interpretation of the results of multi-group analysis, taking into account the different outcomes of the PLS-MGA test methods and the low statistical power of the moderating effect. It is necessary to use various methods such as comparing the difference in the path coefficient significance and the significance of the path coefficient difference between the groups. 4) Substantial differences in the perceptions and behaviors of PSS users existed according to proximity to public sphere, including the significance of path coefficients, mediation and categorical moderation effects. 5) The paper also provides detailed analysis and implication from a new institutional perspective. This study using a novel and appropriate methodology for performing group comparisons would be useful for researchers interested in comparative studies employing institutionalism theory and PLS-SEM multi-group analysis technique.

• Korean Journal of Plant Resources
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• v.23 no.4
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• pp.360-367
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• 2010

The genetic diversity and structure of P. tongkangensis in 5 populations from 3 regions was investigated using 56 markers derived from 6 ISSR primers. Genetic diversity at the species level (P=94.6, SI=0.377, h=0.240) was substantial considering the limited distribution and small size of populations. Genetic differentiation among regions (12%) and among populations (13%) in the region was not clearly evident, which suggested a moderate level of gene flow among adjacent populations. The Mantel test revealed a significant correlation between genetic differentiation (${\Phi}_{ST}$) and geographic distance among populations. This was supported by cluster analysis and principal coordinate analysis (PCoA). The significant difference in marker band frequency at many loci and their fixation in opposite directions in the smallest and most isolated population SC were considered due to genetic drift. Therefore, the genetic diversity of P. tongkangensis could be compromised if the distribution area or the size of the population was further reduced. In particular, small and isolated populations could be at great risk of extinction. Considering this, the unique habitats of P. tongkangensis should be protected and the reduction of population size should be closely monitored. Conservation efforts including the seeding and planting of seedlings should be done carefully based on their genetic and ecological traits. Our data support the argument that establishing an integrated management system for the efficient conservation of P. tongkangensis is critical.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.11-18
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• 2016

The purpose of this study is to compare the differences in human rights perception between people with disabilities and staffs in the disabled residential facilities. Using data from the '2014 Human Rights Survey on Disability in the Disabled Residential Facilities' for 602 facilities, the study compared their perception of human rights(16 items), including human rights guarantee(12 items) and human rights violation(4 items). Result showed that the rate of perception for human rights guarantee and violation(except staff violation) of staffs was higher than people with disabilities(p<.05). This study demonstrated that there were significant differences in human right perception between people with disabilities and staffs. The cause of this difference would be the conflict between roles of staff and needs of person with disabilities, absence of human rights indicators by mutual consent between the two. Our findings suggested a need for study on strategies to solve gap of perception between the two, such as integrated human rights education, developing consensual human rights indicators.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.219-235
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• 2016

This study was performed to study the factors appear to SMEs and how differently depending on the worker ranks at the convergence age. Additionally, numerous studies and results on the factors which affect the organization's performance was to individually different approach to integrated. Especially venture was divided by a factor of enterprises and transformational dynamics factors and commutative Dynamics factors and approaches in terms of the impact transformative dynamics of which factors are organizational commitment and job satisfaction. A transformational dynamism to the four factors were such as mission and strategy, CEO Leadership, Manager, leadership, organizational culture variables. The study was based on theoretical models of organizational development, Burke and Litwin (1992). They were classified as managers and production workers. By obtaining data from employees 630 people engaged in a total of nine manufacturers were analyzed. The average variable based on the organization's Burke and Litwin (1992) theory of transformational variables is one that Nana was aware of the organizational commitment, and job satisfaction. Correlation analysis transformational dynamics variables're having an impact on job satisfaction and organizational commitment, job position is found to have moderating effects.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.1-14
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• 2017

As we enter the era of big data, the value of personal information is becoming ever more important. However, personal information protection laws in Korea have several issues. Furthermore, existing research are limited in their ability to facilitate a comprehensive understanding of measures to improve personal information protection laws. Accordingly, this study analyzes improvements to be made in the current personal information protection laws based on existing research. A total of 39 research articles discussing the problems of the personal information protection law were selected and analyzed by applying the meta - analysis technique. According to the results, the various issues such as the meaning and scope of personal information, the role and obligations of relevant parties, provision of personal information to third parties, and redundant and imbalanced regulations in special acts in each field. that exist in the current personal information protection laws were confirmed. This study contributes to the improvement of inconsistency between information protection laws and related special laws in each field in practice. Academically, it will contribute to understanding the problems of th law from the macro perspective and suggesting the integrated improvement ways of the law.

• Korean Journal of Environment and Ecology
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• v.31 no.5
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• pp.433-443
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• 2017

Securing the species compositional integrity (typicalness and representativeness) is the essential prerequisite for an integrated management of vegetation resources using the phytosociological $relev\acute{e}s$ and plant communities of the Z.-M. school. This study is intended to develop a tool for qualitative and quantitative evaluation of species compositional homotoneity of a set of $relev\acute{e}s$ per syntaxon. The new homotoneities, actual homotoneity ($H_{act}$), and optimal homotoneity ($H_{opt}$) taking into account the heterogeneous factors of $relev\acute{e}s$ are proposed. The correlations between the floristic variables such as the vegetation type, the new homotoneities, and the previously studied homogeneous measures (e.g. Pfeiffer's homogeneity, basic homotoneity-coefficient, corrected homotoneity-coefficient, and mean floristic similarity) are analyzed by using Spearman's rank correlation coefficient. $H_{act}$ and $H_{opt}$ are effective in determining the difference of inter-synthesized units and of inter-$relev\acute{e}s$, respectively. $H_{act}$ is the homotoneity that is the most independent of the number of $relev\acute{e}s$. On actual vegetation with long-term human impact in the Korean Peninsula, $H_{opt}$ has become an aid to the more precise understanding of $H_{act}$ as substantive homogeneousness of species composition of syntaxa. It is expected that $H_{act}$ and $H_{opt}$ can be used for the selection of a sort of homogeneous vegetation data to build a phytosociological $relev\acute{e}$-database with consistency and objectiveness for national vegetation resources.

• Journal of Gifted/Talented Education
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• v.26 no.1
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• pp.1-20
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• 2016

This study explored the cognitive characteristics and learning needs of economically disadvantaged gifted students. Gifted students(n=99), economically disadvantaged gifted students(n=43), and non-gifted students(n=50) participated in intelligence and creativity tests, and took self assessments of meta-cognition, epistemological beliefs, learning style preferences, and personal time usage. Superior abstract reasoning ability of economically disadvantaged gifted students was found because their scores on Raven's Test had risen rapidly compared to the other groups. Economically disadvantaged gifted students showed similar high scores as the gifted student on the Torrance Tests of Creativity Thinking-Figural, but not on Verbal. They were found to have a perception of the positive relationships among effort, learning abilities, and values of learning integrated knowledge with a general plan. However, they showed lower meta-cognitive control abilities than the gifted students in learning management and strategies, epistemological beliefs in value of rational operations, and time usage for learning. It is necessary to assign economically disadvantaged gifted students a task with various step by step methods of approach because these students prefer a new and creative task to difficult ones. Instruction plans such as developing language and meta-cognitive abilities and practical application of learning content was proposed.