• Journal of Distribution Science
• /
• v.14 no.8
• /
• pp.23-33
• /
• 2016

Purpose - The purpose of this study was to analyze the effects of education & training and organizational culture on job satisfaction and organizational commitment and then examine the difference that would appear depending on the job title in the case of Korean employees in the manufacturing industry. Research design, data, and methodology - Our sample consisted of 1,013 administrative employees in the manufacturing industry with data extracted from the 4th Human Capital Corporate Panel (2011) survey. Descriptive statistics and multiple regression analysis were conducted. Results - Results showed that education & training had positive effect only on job satisfaction while organizational culture had positive effect on both job satisfaction and organizational commitment. Components under education & training (duration of the formal learning, efficacy of formal learning and efficacy of informal learning) and organizational culture (equity, communication, talent recognition, innovation) that were found to be affecting job satisfaction and organizational commitment revealed to be different depending on the hierarchical position of the employee. Conclusions - Different approach and policy for each group of job title could be considered in order to increase job satisfaction and enhance organizational commitment of the employees.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.1
• /
• pp.131-140
• /
• 2020

The purpose of this study is to derive various clues for the establishment of marketing strategies for companies that produce and sell high-involvement products for Millennials who are not the subject of current consumption but who will lead future consumption. For this purpose, this study aimed to derive 17 factors of high-involvement product selection attributes through FGI, and its relationship on repurchase intention after make a variable through PCA. A total of 158 valid questionnaires were used, and IPA, independent sample t-test, regression analysis, and hierarchical controlled regression analysis were performed. The results showed that overall, external and internal selection factors had a positive influence on repurchase intentions, and in particular, appealing to internal and external selection factors in order to promote repurchase intention. Meanwhile, the Millennials were found to have no gender difference. Therefore, the company producing and selling high-involvement products suggests that it is necessary to make a priority effort to secure brand awareness, trust in product producers, store trust, and product self-reputation as components of internal selection factors. It was also concluded that more strategic efforts were needed to focus on and appeal to the characteristics of the Millennial itself rather than to consider gender differences.

• Knowledge Management Research
• /
• v.13 no.5
• /
• pp.91-111
• /
• 2012

The purpose of this study is to investigate the effect of person-organization fit(PO fit) and person-job fit(PJ fit) on positive psychological capital at both team-level and individual-level. Present study intends to confirm the effectiveness through theoretical considerations and empirical analysis of positive organizational behaviors. This is expected to strengthen the basis of positive organizational behavior studies and provide the foundation to integrate positive organizational behavior to the actual organization. In order to test the hypotheses, the data were collected from multiple domestic organizations and composed 47 team-level and 244 individual-level data. For the analysis, hierarchical linear modelling(HLM) were conducted. The results of this study are as follows. PO fit and PJ fit had significant relationships with positive psychological capital at both team-level and individual-level. Also, in the relationship between the attitudes and behaviors of the members and positive psychological capital, the positive psychological capital was found to have significant effect on affective commitment and organizational citizen behaviors. The implications of this study according to the results as follows. Positive relationships of psychological capital with the antecedents and consequences variables, it is necessary for the management to magnify the strength of members in the actual operation at the organization level. Such the management of positive psychological capital can be suggested as a new approach method for achievement of the organization's goals and visions.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.6
• /
• pp.1443-1452
• /
• 1997

In this paper, we propose a new video structuring method for reconstructuring a 'structured logical video' which adds logical video information to a conventional structured video. Logical video information is composed of background, object, and situation. The proposed structured video is reconstructed in logical unit like episodes as well as in physical unit like shots. It can support many video functions and may be reusable in many video applications-video browsing, video retrieval, video editing, etc. we also present the video database management system in order to manage the proposed structured video is modeled on object-oriented concept and hierarchical structure. Also, we design and implement a video browsing and retrieval system using the proposed structured video.

• KIPS Transactions on Software and Data Engineering
• /
• v.6 no.6
• /
• pp.285-292
• /
• 2017

There are technological, operational and environmental constraints at tactical edge, which are disconnected operation, intermittent connectivity, and limited bandwidth (DIL), size, weight and power (SWaP) limitations, ad-hoc and mobile network, and so on. To overcome these limitations and constraints, we use service-oriented architecture (SOA) based technologies. In our research, we propose a hierarchical mission service model that supports service-oriented mission planning and execution in order for a commander to operate various SW required for mission in battlefield environment. We will also implement development tools that utilize the workflow technology and semantic capability-based recommendation and apply them to combat mission scenarios to demonstrate effectiveness.

• The Journal of Korean Society for School & Community Health Education
• /
• v.13 no.2
• /
• pp.119-146
• /
• 2012

Objectives: The purposes of this study were to investigate the life satisfaction, obesity, depression, self esteem, body image of adolescents by their demographic characteristics, to analyze factors impacting on life satisfaction, and to provide basic data to intervention programs for bright and healthy development. Methods: The data in this study came from the Korea Youth Survey Data collected through questionnaires from 10,156 students. To investigate the causal relationship between each variable presented in the research model, descriptive statistics, t-test, ANOVA, Scheffe's test, correlation analysis, hierarchical regression analysis were carried out by using SPSS Ver. 18.0. Results: The most impacting factor on adolescents' life satisfaction were the self-esteem and depression, followed by the economic level, regular exercise, and regular eating. In conclusion, the strongest factors that influenced adolescents' life satisfaction were self-esteem and depression. Also we found that regular eating, regular exercise, and adequate sleep were the important causes of raising adolescents' life satisfaction. Conclusions: In order to enhance the adolescents' life satisfaction, we should make an effort to increase self-esteem, to prevent obesity, and to reduce depression through regular exercise and eating, adequate sleep. Therefore, it is important to recognize the importance of regular exercise and eating through health education. In addition, it is needed desperately to develop sleeping education program and to efforts to ensure sleeping right of adolescents.

• The Journal of the Korea Contents Association
• /
• v.14 no.3
• /
• pp.11-21
• /
• 2014

Multi-scale image segmentation is important in many applications such as image stylization and medical diagnosis. This paper proposes a novel segmentation algorithm based on MSER(maximally stable extremal region) which captures multi-scale structure and is stable and efficient. The algorithm collects MSERs and then partitions the image plane by redrawing MSERs in specific order. To denoise and smooth the region boundaries, hierarchical morphological operations are developed. To illustrate effectiveness of the algorithm's multi-scale structure, effects of various types of LOD control are shown for image stylization. The proposed technique achieves this without time-consuming multi-level Gaussian smoothing. The comparisons of segmentation quality and timing efficiency with mean shift-based Edison system are presented.

• The Journal of Fisheries Business Administration
• /
• v.40 no.3
• /
• pp.127-146
• /
• 2009

This study is to estimate the factor weights of the reasons for decreases in marine fishery resources using the Analytical Hierarchy Process. Furthermore, it classifies 20 fishes under a fishery resource recovery plan into various groups of fishes according to these factor weights using the non-hierarchial cluster analysis. The factors of decreases in marine fishery resources are identified as bio-ecological, technology-system, economic-business, and fishing village-society factors. Two of the most important factors of decreases in resource are turned out to be the economic-business and bio-ecological factors, estimated as 31% and 30% respectively. The technology-system and fishing village-society factors are estimated as 21% and 18% respectively. The study utilizes non-hierarchical cluster analysis in order to classify 20 fishes into 2, 3, and 4 groups. K-means cluster analysis is applied for grouping in conjunction with ANOVA to identify statistical differences in factors. Once again, the economic-business and bio-economic factors play main role in grouping 2-groups of fishes case. The third group of fishes in addition to the previous 2 groups of fishes appears as those 4 factors of decrease evenly play about the same role at a 3-groups of fishes case. Finally, the economic-business and bio-economic factors are turned out to be evenly important in the 4th group once there are 4-groups of fishes.

• 제어로봇시스템학회:학술대회논문집
• /
• 1994.10a
• /
• pp.498-503
• /
• 1994

The paper demonstrates that holon networks can be used effectively for identification of nonlinear dynamical systems. The emphasis of the paper is on modeling of complicated systems which have a great deal of uncertainty and unknown interactions between their elements and parameters. The concept of applying a quantitative model building, for example, to environmental or ecological systems is not new. In a previous paper we presented a holon network model as an another alternative to quantitative modeling. Holon networks have a hierarchical construction where each level of hierarchy consists of networks with reciprocal actions among their elements. The networks are able to evolve by self-organizing their structure and adapt their parameters to environments. This was achieved by an autonomous decentralized adaptation algorithm. In this paper we propose a new emergent evolution algorithm. In this algorithm the initial holon networks consists of only a few elements and it grows gradually with each new observation in order to fit their function to the environment. Some examples show that this algorithm can lead to a network structure which has sufficient flexibility and adapts well to the environment.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.610-615
• /
• 2005

Visual servoing is the fusion of results from many elemental areas including high-speed image processing, kinematics, dynamics, control theory, and real-time computing. It has much in common with research into active vision and structure from motion, but is quite different from the often described use of vision in hierarchical task-level robot control systems. We present a new approach to visual feedback control using image-based visual servoing with the stereo vision in this paper. In order to control the position and orientation of a robot with respect to an object, a new technique is proposed using a binocular stereo vision. The stereo vision enables us to calculate an exact image Jacobian not only at around a desired location but also at the other locations. The suggested technique can guide a robot manipulator to the desired location without giving such priori knowledge as the relative distance to the desired location or the model of an object even if the initial positioning error is large. This paper describes a model of stereo vision and how to generate feedback commands. The performance of the proposed visual servoing system is illustrated by the simulation and experimental results and compared with the case of conventional method for dual-arm robot made in Samsung Electronics Co., Ltd.