• Journal of the Korean Society of Child Welfare
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• no.36
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• pp.261-288
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• 2011

This study focuses on adolescent prosocial behavior as one of the necessary elements for youth to grow as a healthy member of the society. The purpose of this study is to examine the effects of peer group on adolescent prosocial behavior by comparing the peer influence model and the individual characteristics model. For the study, we conducted hierarchical multiple regression analyses using the data from the Korean Youth General Survey 2008, administered by the Ministry of Health and Welfare. Results show that friends' prosocial behavior had a positive impact, but friends' antisocial behavior had a negative impact on adolescent prosocial behavior. When individual characteristics including self-esteem and empathy were analyzed simultaneously, empathy, self-esteem, friends' prosocial behavior, and friends' antisocial behavior were found to be statistically significant. The strength of association between individual characteristics and adolescent prosocial behavior was greater than that of friends' behaviors. Also, significant moderating effects of individual characteristics on the relationships between adolescent prosocial behavior and friends' behaviors were found. For example, the positive effect of friends' prosocial behavior on adolescent prosocial behavior increased as adolescent's level of self-esteem increased. On the other hand, the negative effect of friends' antisocial behavior on adolescent prosocial behavior decreased as adolescent's level of empathy increased. Based on the findings, both the peer influence model and the individual characteristics model were considered valid in explaining prosocial behavior of Korean adolescents. Finally, implications of this study for positive youth development were discussed.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.8
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• pp.649-660
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• 2021

Through analytical method based on S-76 model, the level of rotor hub vibration reduction was analyzed according to higher harmonic actuating by individual blade control. The higher harmonic actuating method for individual blades was divided into a method of generating an additional actuating force from the pitch-link in the rotating part and generating actuating force through the active trailing edge flap control of the blade. In the 100kts forward flight conditions, the hub load analysis was performed by changing the phase angle of 15 degree for the 2P/3P/4P/5P harmonic actuation for individual blades. Through the harmonic actuation results, the sensitivity of the rotor system according to the actuating conditions was analyzed, and the T-matrix representing the characteristics of the rotor system was derived based on this analysis result. And through this T-matrix, optimal higher harmonic actuating condition was derived to minimize hub vibration level for flight condition. In addition, the effect on the performance of the rotor system and the pitch-link load under minimum hub vibration condition, as well as the noise influence through the noise analysis were confirmed.

• Journal of Environmental Science International
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• v.22 no.2
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• pp.151-161
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• 2013

The assessment of personal exposure is a critical component in population-based epidemiologic studies of air pollution. This study was conducted to apply and compare the four exposure estimation methods of individual-level to air pollution concentration in a cohort including 2,283 subjects in Gwangyang, Korea. Individual-level exposure of air pollution were estimated using multiple approaches, including average across all monitors, nearest monitor, and spatial interpolation by inverse distance weighting and kriging. The mean concentrations of $PM_{10}$, $NO_2$, $SO_2$, CO, $O_3$ by four exposure estimation methods were slightly different but not significantly different from each other. Cross-validation showed that kriging was more accurate than other exposure estimation methods because kriging has probably predicted individual exposure levels equivalent to residential locations after estimating the parameters of a model according to the spatial surface of air pollution concentration. These data support that spatial interpolation methods may provide better estimates than selecting the value from the nearest monitor and averaging across values from all monitors by reflecting spatial attributes of air pollution on personal level.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.197-203
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• 2016

This study is to constructs the model by the relationship between the most important ones of TPM's step activities which are derived from the result of AHP analysis and the management performance. And it is to analyze whether step activities have impact on corporate performance through the mediating variable from a convergence point. Also it is to choose four step activities - irrational field and loss improvement, preparation and system establishment for the basic conditions of 5S, initial cleaning, loss analysis of facility efficiency - as independent variables, and to analyze the effect of TPM activity level as mediating variable on management performance as dependent variable. According to the analysis, four step activities don't have direct effect on corporate performance but TPM activity level as mediating variable has a full-mediated effect on corporate performance. That is, TPM activity level has been shown to play a role as mediating variable. Therefore, higher recognition of confidence in facility, awareness of self-development and definitive management of individual work shows TPM activity can contribute to corporate performance successfully.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.5
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• pp.11-20
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• 2014

Due to the importance of vehicle detector which plays an essential role in generating real-life traffic information, maintaining detector data quality is preeminent in advanced traffic management and information systems (ATMIS). To this end, agencies periodically conduct performance tests on detectors. Detector evaluation is generally performed by comparing baseline data with corresponding detector data. Here, two important things need to be addressed; one is errors (or uncertainties) included in baseline data and the other is the confidence interval concept to represent evaluation results of sample data to corresponding ones of population. To resolve these problems, a new detector evaluation scheme is introduced and the scheme is applied to individual level detector evaluations of loop, video image, and radar detectors. The purpose of individual level evaluation is to eliminate the balancing (or cancelling-out) effects of over- and under-counts. As a consequence, the proposed scheme is proven to be effectively applied to real-world detector evaluations.

• Management & Information Systems Review
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• v.8
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• pp.103-127
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• 2002

In this study, satisfaction with salary of the clerical saff in health care organization was analyzed with a view to provide data contributive to efficient wage management for the clerical staff of hospitals. For the analysis, it was investigated if there is any difference in satisfaction with wage depending on the individual and environmental characters as well as comparative factors perceived by self or by others in-and outside the working place. The findings of the analysis may be summed up as follows: First, in support of the hypothesis that the satisfaction with wage of the clerical staff in hospitals will individual factors, statistically significant difference were found in the satisfaction with wage depending on age and career, but there was little significant difference depending on gender and education. Thus, the hypothesis I in this study can be partly adopted. Second, with regard to the hypothesis that the satisfaction with wage of the clerical staff in hospitals will vary with environmental variables, significant differences were found in terms of comparative factors perceived by self or by others inside the working place and those perceived by others outside the working place, and significant difference was also shown in the comparative factors perceived by others outside the working place. Whereas, however, there was no significant difference in the satisfaction with wage depending on the position, which led to the partial adoption of the hypothesis II. This study has following limits in search of difference in satisfaction with wage of clerical staff in hospital depending on individual and environmental variables: the sample is too small to represent the general wage level satisfaction of the whole health care organizations, since the survey hasn't covered the wage level and management of the employees in all hospitals; the professional attitude and rate of fluctuation that are closely connected with the wage level are not considered.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.189-204
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• 2018

The purpose of this study is to examine an organizational performance difference by individual utilization level of the smart work. The Smart work help minimizing business process and improving organization productivity based on information technology. This new technology provides a flexible way of the task through smart-work center, videoconferencing, telecommuting, mobile(remote control) and business-only messenger. This investment changes organizational culture, institutions and behavior by new technology applying. The organization system change due to smart work has trouble between alteration preferences and existing maintains a group. In response, the organization should make investment justification of smart work for institutional and culture stabilized by a new system in organization. I set up the analytical process of four stages for empirical research. It will analyze an operation difference of the smart work between pre and post investment in the first-step analysis. The two-step analysis will conduct a text mining analysis of smart work operations. The three-step analysis will identify organization performance differences among individual levels in smart work. The four-step analysis will identify a factor difference in organizational performance by individual utilization level on smart work. According to the study, It has been revealed a difference between the pre and post investment performance on smart work. The text mining analyses many appeared an improvement opinion of organizational culture. Next, there is a difference in organization performance among utilize groups of smart work. Furthermore, the factors of organizational performance among groups appeared differently. The theoretical contribution of this study provided to expand the organizational theory of organization change and resistance. The practical implications provided to require a strong guideline an organizational culture and institution for smart work.

• Nuclear Engineering and Technology
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• v.54 no.7
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• pp.2418-2426
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• 2022

The grouping analysis is a method guided by the Korea Radioactive Waste Agency for efficient analysis of radioactive waste for disposal. In this study, experiments to verify the adequacy of grouping analysis were conducted with radioactive soil, concrete, and dry active waste in similar environments. First, analysis results of the major radionuclide concentrations in individual waste samples were reviewed to evaluate whether wastes from similar environments correspond to a single waste stream. As a result, the soil and concrete waste were identified as a single waste stream because the distribution range of radionuclide concentrations was "within a factor of 10", the range that meet the criterion of the U.S. Nuclear Regulatory Commission for a single waste stream. On the other hand, the dry active waste was judged to correspond to distinct waste streams. Second, after analyzing the composite samples prepared by grouping the individual samples, the population means of the values of "composite sample analysis results/individual sample analysis results" were estimated at a 95% confidence level. The results showed that all evaluation values for soil and concrete waste were within the set reference values (0.1-10) when five-package and ten-package grouping analyses were conducted, verifying the adequacy of the grouping analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.52-64
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• 2023

This paper concentrated on estimating the travel time value of individual regional bus passengers in various in-vehicle crowding conditions. In the analysis model, the traffic-selection data of individual transportation passengers based on smart-card data were used. Variables which reflect the level of in-vehicle crowding and the variables of in-vehicle travel time that reflect the level of in-vehicle crowding were included in the model using Box-Cox transformation. The result of this paper indicates that the travel time value experienced by individual users would increase as the in-vehicle crowding level increases. The smart card data used in this paper is considered to have significant implications in terms of conducting more sophisticated and realistic qualitative research to reflect the values of variables for in-vehicle traffic hours and in-vehicle crowding levels, which previously had limitations in observation and quantification. It is expected that the effects of improvement measures for reducing congestion on regional buses can be considered quantitatively by applying the estimation results of crowding multiplier.

• The Korean Journal of Franchise Management
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• v.7 no.2
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• pp.5-14
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• 2016

Purpose - Competitive industry structure and recent economic depression challenge a survival of Korean small- and medium-sized food franchising companies (SMFCs), albeit the explosive growth of the Korean food service industry for last few decades. Against this backdrop, it examines how these SMFCs overcome liabilities of smallness and resource scarcity to strengthen competitive advantage in the market. To tackle this, in this article we focus on corporate entrepreneurship and human resources as a knowledge-based asset for these SMFCs. Furthermore, the ratio of employee turnover is high in SMFCs. We view that such brain-drain may result in poor performance of the Korean SMFCs. As such, we pay attention to the role of organizational commitment to an organization as a solution for enhancing individual-level employees' loyalty toward their organization. Research design, data, and methodology - Our research question is to what extent corporate entrepreneurship (i.e., innovative organizational culture, organizational autonomy, and administrative innovation) affects an individual-level attitude toward the organization and, in turn, employee creativity and satisfaction in the Korean SMFCs context. We collected data from employees in SMFCs for three months. A total of 126 valid questionnaires were collected, and analyzed the data using partial least squares path modeling. Results - The reliable and valid measurement model feed into testing the structural model. Our findings suggest that innovative organizational culture and organizational autonomy positively affect employee commitment. Particularly, organizational autonomy has a greater effect than innovative culture on employee commitment. However, the relationship between administrative innovation and employee commitment is not significant. We also find that employee commitment positively affects both employee creativity and satisfaction. Conclusions - Our contribution to the existing franchising business and management literature is twofold. First, the conceptual model includes three antecedents in the organizational entrepreneurship dimension to organizational commitment. Second, we conceptualize organizational commitment as employee commitment, and validate its impact on employee creativity and job satisfaction at an individual performance level. Overall, this article suggests that it is critically important for the Korean SMFCs to develop corporate entrepreneurship in order to facilitate employees' positive attitudes toward their organizations.