• Journal of Forest and Environmental Science
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• 제29권1호
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• pp.99-108
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• 2013

This study was conducted to evaluate the non-timber forest functions of the Research Forest area of Kangwon National University. In this study, forest recreation function was investigated through survey method answered by forest management experts. The evaluation factors for forest recreation function were separated into external and internal factors. Each factor was classified into intermediate element and detailed element. Therefore in this study, the evaluation factors of forest recreation function were divided into two groups which are the potential of external factors and the suitability of internal factors. Potential of the external factors were divided into accessibility, location, landscape and induction factors while the suitability of internal factor was divided into stand structure, forest structure and human impact. The priority of the potential of external factors was in order that location, accessibility, induction factors and landscape. The most important factors for the location, accessibility, induction and landscape factors are based on regional characteristics.

• Asian Journal of Business Environment
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• 제7권1호
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• pp.31-36
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• 2017

Purpose - The purpose of the study was to develop a reliable measurement tool for the evaluation of TQM application in Greek education settings and to examine the factors that determine quality of education. Research design, data, and methodology - A questionnaire commencing from the questions included in the Application Guide of Common Assessment Framework was used for research purposes. Each item was scored on a 5point Likert scale - to a sample of 112 educators (55 men, 57 women), all teachers working in public primary education schools. Factor analysis resulted in a questionnaire of 43 items consisting of five factors, teacher satisfaction, school management and operation, motivation, effectiveness of public school leadership and finance management. Results - Results revealed a positive correlation among all factors. Reliability results using Cronbach's α was high (a=.961) for all factors of the questionnaire ranging from α=.930 (for motivation) to α=.797 (for financial management). Additionally, ICC procedure revealed high values for the above mentioned factors. Conclusions - The study resulted in the construction of a reliable questionnaire focused exclusively on TQM that can be used in future studies using larger samples in different areas so as to draw useful conclusions regarding TQM application in Greek education settings and further identify the factors determining quality in education.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.167-179
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• 2022

The study aims to determine the influencing factors and their impact on the management of the forest land used for production allotted to peasant households and proposes solutions to improve its management. Secondary data was calculated until the end of 2019 at state agencies. The primary data was collected through 2 steps. To determine the factors influencing forest land management for production, step one involved a survey of 100 households that were given access to forest land. Step 2 involved a survey of 215 households to determine how factors impacted the Likert scale's five levels. The study also used a multivariate regression model and SPSS24.0 software to determine the impact rates of factor groups. The study indicated 43 factors that belong to 11-factor groups affecting the management of forest land for production. The policy and legal factors group is the most influential, with an impact rate of 12.72%, followed by 10 other factor groups with impact rates ranging from 4.08% to 11.74%. The solutions include improving policies and laws, strengthening the dissemination of policies and laws; encouraging investment, completing cadastral work, intensifying inspection, examination, and sanctioning of administrative violations of land, upgrading the infrastructure system, and ensuring enough human resources to manage forest land.

• 근관절건강학회지
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• 제23권2호
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• pp.114-124
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• 2016

Purpose: The purpose of this study was to investigate the level of uncertainty, physiological risk factors, self-efficacy, and self-management among stroke patients and to identify factors influencing their self-management. Methods: A descriptive correlational design was used for this study. A convenience sample of 149 patients with stroke were enrolled at C national university hospital from February to April in 2016. Data were collected using a structured questionnaire and electronic medical record. Collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlations, and multiple regression analysis with the SPSS/WIN 21.0 program. Results: There were significant negative correlations between uncertainty and self-efficacy (r=-.56, p<.001); between uncertainty and self-management (r=-.56, p<.001); and between total cholesterol and self-management (r=-.23, p=.005). There were significant positive correlations between self-efficacy and self-management (r=.78, p<.001); between uncertainty and total cholesterol (r=.24, p=.003). The significant factors influencing self-management were uncertainty and self-efficacy. Theses variables explained 62.7% of the variance in self-management. Conclusion: The results suggest that intervention programs to reduce the level of uncertainty and to increase the level of self-efficacy among patients would improve the self-management of stroke patients.

• 한국IT서비스학회지
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• 제18권1호
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.143-158
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• 2006

Identifying risk factors in software risk management is imperative for project managers. The purpose of this paper is to provide software project risk factors validated by statistical analysis, and thus to help project managers alleviating the possibility of software project failure. Factor analysis with data collected from 264 Korean project managers and consultants identified 12 categories and 46 risk factors. T-test results showed that project managers and participants had statistically different perception on 3 risk factors among those 46 risk factors. We concluded by discussing implications of our findings and future research directions.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1231-1236
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• 2009

Many work-related risk factors can cause construction site hazards. Therefore, safety management begins with measuring the magnitude of risk involved in a project. This study proposes a methodology for risk assessment of major trades at a particular construction site. To assess risk, this methodology integrates hazard severity and frequency, and their magnitude is calculated based on actual work-site hazards. This methodology also considers the influence factors that affect the frequency of work-related hazards. To select the appropriate influence factors, a two step approach is deployed. First, the predominant factors are identified through a literature review. Second, a selective process filters out the influence factors that are difficult to analyze quantitatively, and these extracted factors are weighted using expert surveys. Finally, the factors are combined and a quantitative risk assessment methodology is proposed.

• 대한안전경영과학회지
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• 제17권3호
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• pp.319-330
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• 2015

This study examines the factors configuration management quality of the construction company, and to analyze the impact of these factors on Project Performance and Company Performance. That quality construction management configuration factors, chief executives, corporate strategy, organizational management, information technology, and partners five variables, Project Performance variables, process management, quality management, cost management, safety management, environmental management five variables, and Company Performance parameters of financial competence and organizational satisfaction, quality of work three variables, the overall causal relationship between the presence of specific activities and management quality, classified according to the size of the company were verified by the difference in impact between the two groups.

• 한국식생활문화학회지
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• 제24권4호
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• pp.401-412
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• 2009

The aims of study were to provide basic data for the internationalization of Contract Foodservice Management Companies (CFMC) and to gain a better understanding of internal push-and-pull factors through in-depth interviews. The interviewees were managers of four large CFMCs and one small-to-medium CFMC. The non-structured interview format employed an interview guide of open-ended questions. All interviews were digitally recorded and notes were taken simultaneously by an interview assistant. The narrative data analysis involved transcription, coding, classification by categories, and content analysis. Eighty-eight codes were generated from the interview analyses, and the subordinate variables uncovered included seven push factors, eight pull factors, one interactive factor, and 10 internal dynamics. These factors will be useful in further studies of the internal operations of specific CFMCs, and more generally, the practical condition of the industry.

• 한국병원경영학회지
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• 제18권4호
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• pp.131-144
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• 2013

The purpose of this study is to analysis factors affecting workers' knowledge sharing intention in a hospital. This study is based on personal factors such as perceived incentives, perceived reciprocal benefits, perceived behavioral control, and subjective norm. Also, there are organizational factors such as organizational climate, CEO's support, rewards system, trust, and IT system. Data were assessed using 107 employees who work at C university hospital in Chunkcheong-do and collected with self-administered questionnaires from April 1 to 13 in 2013. This study was analyzed SPSS 18 by using frequency and multi regression analysis. The results of the study were as follows. First, knowledge sharing intention among personal factors was statistically significant in perceived behavioral control. Second, the awareness of knowledge sharing intention among organizational factors was turned out to be positive effect for CEO's support and trust. This study was identified a couple of factors affecting knowledge sharing intention between personal and organizational factors. The the implications of these factors are discussed and areas for developing hospital management strategies are fostered knowledge sharing.