• Journal of East Asia Management
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• v.4 no.2
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• pp.63-92
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• 2023

This study analyzes the effect of job crafting behavior on career satisfaction and job satisfaction that allows active participants to perform their jobs in a work environment where autonomy and delegation are emphasized, and how the degree of person-job fit plays a role in the relationship between the three variables. The results of an empirical analysis of 360 employees of domestic companies are as follows. First, job crafting was found to have a positive (+) effect on career satisfaction and job satisfaction, respectively, confirming the importance of job crafting in a situation where the work environment changes rapidly. Second, job crafting was found to have a positive (+) effect on desire-supply fit and ability-demand fit, respectively, which are components of person-job fit. This means that person-job fit can be improved through task, cognitive, and relationship crafting. Third, it was found that desire-supply fit and ability-demand fit had a positive (+) effect on career satisfaction and job satisfaction. This means that the higher the person-job fit the more satisfied the career and job. Finally, desire-supply fit has a partial mediating effect in the relationship between job crafting, career satisfaction, and job satisfaction and ability-demand fit has a partial mediating effect in the relationship between job crafting, job satisfaction. In summarizing the above research results, this study suggested in a changing organizational environment that it is necessary to provide individual active work performance (job crafting) opportunities for career satisfaction and job satisfaction, and that it is important to create an organization's support environment to enhance person-job fit.

• Korea Journal of Hospital Management
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• v.16 no.3
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• pp.92-114
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• 2011

The study has its purpose on providing basic resource to enforce the capability of the middle managers by examining the level of performance and the level of awareness about the capabilities of the managers and by understanding the significance of the difference and the reasons for the differences. The source of the study was 195 survey questionnaires that were carried out to the managers of the 9 general hospitals and the method of the analysis was the frequency analysis, analysis of the credibility, matching to sample T-test, independent sample T-test, dispersion analysis, correlation analysis, and multiple linear regression analysis using accumulated variables. The followings are the main result of the study. First, the difference between the level of awareness about the capabilities and the level of performance of the mediator managers in general hospitals had high capability in change management. The following orders were: competence in achievement and behavior, competence in management, competence in recognition, competence in influence, competence in individual effectiveness, and competence in personal relationship service. Second, as the result of the relation analysis in order to understand the correlation between awareness and performance of the mediator managers, everything had significant positive correlation. In the study about the level of importance, the cognitive capability and the management capability had the highest correlation with the correlation number of 0.88. In the study about the level of performance, the cognitive capability, individual capability, and the management capability had the highest correlation with the correlation variable number of 0.79. Third, as the result of studying the reason for the difference between the level of the awareness capability and the level of the performance, lack of the support recognition compensation in the organization level, inappropriate work environment, limit in the regulation were found as the highest reason in the order. As the result of the study, it was concluded that the creation of the efficient capability estimation model and the securement of the system that estimate the capability of the managers should be carried out in order to enforce the capability of the mediator managers in general hospitals.

• Journal of the Korea Safety Management & Science
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• v.18 no.1
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• pp.75-82
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• 2016

According to the statistics, occupational fatal injuries by the fork lifts were about 30 per year in whole industrial. Fork lifts are widely used in various parts of industries to improve the efficiency of the work. In this study, the current regulations to be adequate in industrial site have to be renew in order to prevent the fatal injuries by the fork lifts. Fatal injury analysis were conducted with several accident cases by the fork lifts. For each accident, the causes of the injuries were examined and proper safety measures were proposed. In this study, the fork lift showed a high fatality rate in industrial accidents and no detailed cause analysis of fatal accidents was conducted in terms of unsafe acts or conditions. First, fork lifts were the highest of the machines caused the accidents. In order to prevent fatal injuries by the fork lifts, the tarket was manufacturing industry. Second, the order of the cause of cognitive engineering agenda in the manufacture industrial was visibility, responsibility and affordance, and revision of acts was proposed. Third, there was not a lots of different points of human error between occurrence types and business sizes. Forth, number of fatalities by the attacker was more than by the inducer.

• Korean Journal of Occupational Health Nursing
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• v.24 no.2
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• pp.132-141
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• 2015

Purpose: The purpose of this study was to investigate the relationships between psychosocial working conditions and psychological well-being depending on the gender among Korean interactive service workers. Methods: This study was a secondary analysis of the data extracted from the 2011 Korean Working Conditions Survey. For the present analysis, 15,669 workers who interact with others at work were selected. Based on the existing literature, a set of variables was chosen from the KWCS. Psychological well-being was measured using the WHO-5 well-being index. Results: The prevalence of poor psychological well-being was significantly higher among men (43.1%) than women (39.6%). Women were more likely to be exposed to demands for hiding emotions, bullying, and discrimination, whereas men were more likely to be exposed to psychological job demands, cognitive demands, demands for responsibility, role conflict and long working hours. Most factors were associated with poor well-being among women and men except demands for hiding emotions, skill discretion and development, physical violence, and sexual harassment. Conclusion: Based on these results, some practical suggestions are offered to help interactive service workers adjust to their duties.

• Journal of Communications and Networks
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• v.18 no.3
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• pp.411-419
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• 2016

This article investigates the problem of distributed channel selection in opportunistic spectrum access networks from a perspective of interference minimization. The traditional physical (PHY)-layer interference model is for information theoretic analysis. When practical multiple access mechanisms are considered, the recently developed binary medium access control (MAC)-layer interference model in the previous work is more useful, in which the experienced interference of a user is defined as the number of competing users. However, the binary model is not accurate in mathematics analysis with poor achievable performance. Therefore, we propose a real-valued one called stochastic MAC-layer interference model, where the utility of a player is defined as a function of the aggregate weight of the stochastic interference of competing neighbors. Then, the distributed channel selection problem in the stochastic MAC-layer interference model is formulated as a weighted stochastic MAC-layer interference minimization game and we proved that the game is an exact potential game which exists one pure strategy Nash equilibrium point at least. By using the proposed stochastic learning-automata based uncoupled algorithm with heterogeneous learning parameter (SLA-H), we can achieve suboptimal convergence averagely and this result can be verified in the simulation. Moreover, the simulated results also prove that the proposed stochastic model can achieve higher throughput performance and faster convergence behavior than the binary one.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.467-479
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• 2022

Working memory (WM), which plays a vital role in daily activities, is a memory system that temporarily stores and processes information when people are engaged in complex cognitive activities. The influence of music on WM has been widely studied. In this work, we conducted a series of n-back memory experiments with different task difficulties and multiple trials on 14 subjects under the condition of no music and Alpha wave leading music. The analysis of behavioral data show that the change of music condition has significant effect on the accuracy and time of memory reaction (p<0.01), both of which are improved after the stimulation of Alpha wave music. Behavioral results also suggest that short-term training has no significant impact on working memory. In the further analysis of electrophysiology (EEG) data recorded in the experiment, auto-regressive (AR) model is employed to extract features, after which an average classification accuracy of 82.9% is achieved with support vector machine (SVM) classifier in distinguishing between before and after WM enhancement. The above findings indicate that Alpha wave leading music can improve WM, and the combination of AR model and SVM classifier is effective in detecting the brain activity changes resulting from music stimulation.

• Journal of Korean Public Health Nursing
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• v.36 no.3
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• pp.323-333
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• 2022

Purpose: This study was conducted to identify factors of COVID-19 stress, impulsiveness, and family strength on suicidal ideation of public nursing officials in community health centers. Methods: This study was a descriptive analysis study the subjects of this study were a total of 145 public nursing officials from community health centers in Busan. The data were analyzed using IBM SPSS/WIN 23.0 version. Result: The result of the predictor analysis showed that the motor impulsiveness (β=.383, p<.001), workload (β=.222, p=.003), cognitive impulsiveness (β=-.205, p=.012), bond (β=-.169, p=.033). The regression model showed an explanatory power of 24.1%. Conciusion: it is necessary to increase impulse and stress control ability, and to adjust the workload. In addition, it is necessary to systematically guarantee a working environment where practical vacation can be used, but it may not be a realistic alternative in a disaster crisis such as COVID-19, so indirect alternatives such as reinforcing infectious disease experts, improving the work environment, and psychological support to prevent suicide in advance are required.

• Journal of muscle and joint health
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• v.26 no.2
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• pp.111-119
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• 2019

Purpose: This study investigated the effects of nursing organizational culture and self-leadership on job satisfaction for nurses working in the comprehensive nursing care service ward in public hospitals. Methods: The participants were 138 nurses working in Gyeonggi-do medical center. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and regression analysis with SPSS/WIN 23.0. Results: Factors affecting job satisfaction were innovation-oriented culture (${\beta}=.29$, p<.001), want to work in this department (${\beta}=-.25$, p<.001), the cognitive strategy of self-leadership (${\beta}=.23$, p=.002), hierarchical-oriented culture (${\beta}=-.21$, p=.002), and marital status (${\beta}=.18$, p=.005). These factors accounted for 42.0% of the variability in job satisfaction. Conclusion: In order to improve the job satisfaction of nurses in the comprehensive nursing care service ward in public hospitals, institutional-level efforts should be made to encourage an innovation-oriented culture and avoid a hierarchy-oriented culture. In addition, education and program development are needed to improve the cognitive strategy of self-leadership.

• Journal of the Korea Computer Graphics Society
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• v.25 no.1
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• pp.23-32
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• 2019

Cybersickness is a symptom of dizziness that occurs while experiencing Virtual Reality (VR) technology and it is presumed to occur mainly by crosstalk between the sensory and cognitive systems. However, since the sensory and cognitive systems cannot be measured objectively, it is difficult to measure cybersickness. Therefore, methodologies for measuring cybersickness have been studied in various ways. Traditional studies have collected answers to questionnaires or analyzed EEG data using machine learning algorithms. However, the system relying on the questionnaires lacks objectivity, and it is difficult to obtain highly accurate measurements with the machine learning algorithms. In this work, we apply Deep Neural Network (DNN) deep learning algorithm for objective cybersickness measurement from EEG data. We also propose a data preprocessing for learning and network structures allowing us to achieve high performance when learning EEG data with the deep learning algorithms. Our approach provides cybersickness measurement with an accuracy up to 98.88%. Besides, we analyze video characteristics where cybersickness occurs by examining the video segments causing cybersickness in the experiments. We discover that cybersickness happens even in unusually persistent changes in the darkness such as the light in a room keeps switching on and off.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.267-297
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• 2017

The anatomical structure of the brain reflects a great amount of information about an individual's cognitive ability. The present study reviewed research on developmental changes in brain structure in relation to biological maturation and intellectual growth focusing on children and adolescents. The purpose of the present study was to achieve an understanding of how children and adolescents' brain matures with development and also to examine whether individual differences in intelligence influences the development of brain structure. The first section introduces methods of measurement and analysis of brain structure, such as voxel-based morphometry and structural covariance. The second section reviews studies on the biological maturation of the brain and variables that influence brain development such as sex, environmental factors, and mental disorders, etc. The third section introduces the Parieto-Frontal Integration Theory of intelligence and reviews studies on the association between intelligence and developmental changes of the brain, including changes in structural covariance and functional connectivity. We conclude with a discussion on educational/clinical implications of this work and directions for future studies.