• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.25-35
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• 2018

Purpose - In this study, the importance of interpersonal relations in the workplace as well as its correlation to satisfaction of social workers were investigated. In addition, effects of organizational culture as well as its implications for human resource management in social welfare workers were outlined. Research design, data, and methodology - A questionnaire was conducted on job satisfaction measured by the Minnesota Job Satisfaction (MSQ) questionnaire. For reliability, the questionnaire was distributed and collected by the self - filling method. From the collected data, reliability analysis, validity analysis (exploratory factor analysis) and multiple regression analysis were used. Cronbach's alpha was used to measure the reliability of the measurement variables and validity analysis was conducted to see if the questionnaires had the same concept as well as SPSS 19.0. Results - The results showed that group culture, hierarchical culture, and rational culture had significant positive effects on job satisfaction. Developmental culture had no effect on the job satisfaction levels. Conclusions - It is important to maintain the hierarchy in order to improve the efficiency of social welfare organizations, but social welfare organizations must accept external opinions and actively listen to the opinions of the employees in the organization.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.39-46
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• 2012

This paper investigated the hypotheses about how the degree of IT mentoring program satisfaction can be affected by mentors' competence, college students' participation, and professors' interests in the field of information technology. First, empirical results showed that IT mentoring program satisfaction could be improved when mentors' competence and authenticity exposed to college students. Second, another finding is that IT Mentoring Program satisfaction is significantly positive in the field of both SW and HW. Finally, the role of IT mentor is very essential to university-industry collaboration irregardless of government support. However, college students' participation and professors' interests was low when they didn't get government support.

• Korean Management Science Review
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• v.10 no.1
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• pp.81-105
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• 1993

The objective of the paper is to develop models for determining the aggregate budget size in long-range R&D planning of KT(Korea Telecom.) and for allocating it by strategically adopted technologies for KT's TOP(Telecommunication-Oriented Paradise) Strategy. In the model of R&D budget size determination, the linear regression analysis is applied. In allocating the R&D expenditure, criteria weighting and technological importance ranking are determined by means of the Analytic Hierarchy Process(AHP) as a decision aid, along with hierarchical representation and pairwse comparisons. R&D budget analysis provides to basic data for the mid-and long-range R&D planning. The model then needs to be adjusted as the TOP project plan becomes specific. Resource allocation model for R&D based on AHP can be used to identify the importance of the technologies for TOP according to short-, mid-, and long-term perspectives without further modification. It is expected that the R&D budget analysis model works as the basis for planning R&D investment strategies and that the resource allocation model for R&D contributes to the effective use of the limited resource.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.2
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• pp.119-128
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• 2016

Purpose: The purpose of this study was to investigate the relationship among work environment of nursing, nursing organizational culture, demands at work and the emotional labor in clinical nurses. Methods: A convenience sample of 241 registered nurses was obtained from two hospitals. Data were collected by a self-administered questionnaire during December, 2014. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlations and multiple regression with SPSS/WIN 21.0. Results: The mean score for emotional labor was $3.36{\pm}0.48$, for work environment of nursing, $2.44{\pm}0.36$, and for innovational-orientation, $2.95{\pm}0.56$: Relation-orientation, $3.34{\pm}0.62$, Task-orientation, $2.95{\pm}0.53$, and hierarchy-orientation, $3.41{\pm}0.49$, The score for quantitative demands was $3.02{\pm}0.56$, and for work pace, $3.76{\pm}0.76$. In multivariate analysis, factors related to emotional labor were work environment of nursing, innovational-orientation and work pace. Conclusion: Findings from this study indicate the need to evaluate and improve the work environment for nurses to decrease emotional labor.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.70-79
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• 2009

Currently, the investment on Research and Development(R&D) for defense core technology is continuously increasing to maintain advanced country's R&D level. In accordance with this trend, the national defense R&D investment management system is being more strengthening, and importance of performance evaluation is being emphasized more and more. However, the existing indicators of performance evaluation for defense core technology R&D is limited in efficient management because of the qualitative evaluation items and subjective allocation of points. In this paper, we developed a novel indicator for defense core technology R&D performance evaluation through domestic and foreign related literature and inquiry, brainstorming, and analysis techniques by Stepwise Multiple linear Regression(SMR) and Analytic Hierarchy Process(AHP). And we verified effectiveness of proposed indicators of performance evaluation by comparing with the existing evaluation indicators. Our proposed indicators for performance evaluation will create superiority performance on defense R&D fields.

• Journal of the Korean Institute of Educational Facilities
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• v.21 no.2
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• pp.25-32
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• 2014

Many Korean university campuses are located on hilly terrain where the hierarchy of the path system is unclear. Therefore, it is difficult to analyze the pedestrian network through space syntax, in which only horizontal direction changes are considered as depths of space. The purpose of this study is to compare pedestrian movement patterns and space syntax analysis in order to find their relevance to each other and the relationship between them. We conducted a survey regarding the most-visited buildings and pathways at S-University, which is located on a hilly area in Seoul. The survey results were compared with the Space Syntax integration map by regression analysis. For the segments where the relationship between pedestrian volume and integration was weak, field observations were conducted. As a result, topographical aspects, functional aspects, and location aspects were observed as the main influential factors. In addition, the research proposes that adding an extra axial line per vertical directional change can potentially compensate for the low relevance of stairs. This study suggests the possibility and the necessity of three-dimensional space syntax programs and emphasizes the importance of campus planning for the pedestrian environment.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.138-158
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• 2002

Nowadays, new product development (NPD) is one of the most crucial factors for business success. The manufacturing firms cannot afford the resources in the long development cycle and the costly redesigns. Good product planning is crucial to ensure the success of NPD, while the Quality Function deployment (QFD) is an effective tool to help the decision makers to determine appropriate product specifications in the product planning stage. Traditionally, in the QFD, the product specifications are determined by a rather subjective evaluation, which is based on the knowledge and experience of the decision makers. In this paper, the traditional QFD methodology is firstly reviewed. An improved Hybrid Quality Function Deployment (HQFD) [MSOfficel] then presented to tackle the shortcomings of traditional QFD methodologies in determining the engineering characteristics. A structured questionnaire to collect and analyze the customer requirements, a methodology to establish a QFD record base and effective case retrieval, and a model to more objectively determine the target values of engineering characteristics are also described.

• The Korean Journal of Health Service Management
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• v.13 no.1
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• pp.31-42
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• 2019

Objectives: The purpose of this study is to analyze the relationship between the change gap in the perception of subjective hierarchy and medical expenditure and the factors influencing medical expenditure. Methods: An analysis based on the the data extracted from the Panel Study of Korea Health Panel for 2012-2013 (n=9,359) is conducted. Further in this study, data analysis included a chi-square test and logistic regression using SPSS version. 22.0 to analyze the factors influencing the turnover intention of industrial workers. Results: Model I showed decreases in medical expenditure by 1.247, 1.391, and 1.441 times in social classes one, two, and Model II showed an increase in medical expenditure by age, spouse, number of family members living together, insurance type, income class, economic activities, subjective health status, chronic illness and change on subjective recognition of social class. Conclusions: The study concludes that the state and community require psychological, social, and cultural support, in addition to individual efforts, to reduce medical expenditure.

• Journal of Korean Critical Care Nursing
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• v.15 no.3
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• pp.23-36
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• 2022

Purpose : This study aimed to identify the factors influencing the professional quality of life of intensive care unit (ICU) nurses working in university hospitals. Methods : A survey was conducted on 171 ICU nurses in university hospitals in B City, South Korea. This study used the Professional Quality of Life instrument, which consists of three subscales, namely, compassion satisfaction, burnout, and secondary traumatic stress. Data were analyzed using stepwise multiple regression analysis. Results : Compassion satisfaction was influenced by resilience, ICU job satisfaction, and innovation-oriented culture, and these variables explained 37.1% of the variance in compassion satisfaction. Burnout was influenced by resilience, a hierarchy-oriented culture, and ICU job satisfaction, and these variables explained 42.9% of the variance in burnout. Secondary traumatic stress was influenced by a task-oriented culture and resilience, and these variables explained 12.5% of the variance in secondary traumatic stress. Conclusion : These findings suggest the importance of improving resilience and job satisfaction to enhance the professional quality of life in ICU nurses. Moreover, creating an innovation-oriented culture rather than a hierarchical and task-oriented culture can effectively improve the professional quality of life of ICU nurses.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.77-89
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• 2001

Applying perceptual hierarchy of facial feature points, a neural network model for recognizing facial expressions was designed. Input data were convolution values of 150 facial expression pictures by Gabor-filters of 5 different sizes and 8 different orientations for each of 39 mesh points defined by MPEG-4 SNHC (Synthetic/Natural Hybrid Coding). A set of multiple regression analyses was performed with the rating value of the affective states for each facial expression and the Gabor-filtered values of 39 feature points. The results show that the pleasure-displeasure dimension of affective states is mainly related to the feature points around the mouth and the eyebrows, while a arousal-sleep dimension is closely related to the feature points around eyes. For the filter sizes. the affective states were found to be mostly related to the low spatial frequency. and for the filter orientations. the oblique orientations. An optimized neural network model was designed on the basis of these results by reducing original 1560(39x5x8) input elements to 400(25x2x8) The optimized model could predict human affective rating values. up to the correlation value of 0.886 for the pleasure-displeasure, and 0.631 for the arousal-sleep. Mapping the results of the optimized model to the six basic emotional categories (happy, sad, fear, angry, surprised, disgusted) fit 74% of human responses. Results of this study imply that, using human principles of recognizing facial expressions, a system for recognizing facial expressions can be optimized even with a a relatively little amount of information.