• Journal of Preventive Medicine and Public Health
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• v.34 no.4
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• pp.399-407
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• 2001

Objectives : To investigate the current status of hospital-based health promotion programs in Korea and to elucidate the factors which affect to the process of implementation. Methods : We conducted a mail survey of all 875 hospitals in Korea from March to May 2001. In reference to 12 specific kinds of health promotion programs, hospital CEOs were asked whether their hospital have such programs, whether they are fully staffed and whether the program is paid for by the patients. Contextual factors(location, hospital type, number of beds, length of operation, public/private status, economic level of the community, the level of competition) and organizational factors (the extent of market, compatibility with vision, formalization), strategic types of the CEOs (defender/analyser/prospector) were also surveyed. The relationships between each variable and the implementation of health promotion services, activation of services, and the target groups(patient/community resident) were analyzed by univariate analysis and the independent effects of these variables were examined with multiple logistic regression. Results : 100 of 125 hospitals responding (84.8%) had mere than one health promotion program. However, they showed fluctuations in the adoption rate of each programs, meaning that comprehensive health promotion services were not provided. Many programs were not fully staffed and few hospitals had paid programs. In factors affecting health promotion service implementation, private hospitals showed a higher rate in implementation than public hospitals. In contrast, when the competition among nearby hospitals was intense, the level of implementation of service lowered. In the strategic type of the CEOs, the prospectors were shown to have instituted more health promotion programs in their hospitals and the analysers had a greater tendency to have programs for community residents than the defenders. Conclusion . Considering the above results, contextual factors may contribute greatly to the introduction of health promotion services in Korean hospital, although the CEO's personal preference and organizational factors play a larger role in the activation of services. Additionally, the CEO's personal preference may be the major influencing factor in the introduction of programs for community residents.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.257-270
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• 2019

The purpose of this study is to identify the factors which influence dropout intention of college freshmen. For this purpose, the freshmen were collected from A University in Gyeonggi Province from October 16 to 30, 2017. We analyzed 1,369 data in terms of the individual, family, educational institution, and social factors using t-test, ANOVA and multiple regression. The major findings of the study are as follows. First, individual factors which influence dropout intention of freshmen are overall university satisfaction, the degree to which they think their majors fit them, the degree to which they are willing to recommend their department to others, a plan to dropout, and a plan to take a leave of absence. Second, the family factors are the encouragement of parents and family to do well in college. Third, educational institution factors are satisfaction with the curriculum of majors, a sense of belonging to department, the degree to which the professors instill career vision and self-esteem, and satisfaction with college facilities. Fourth, social factors are the degree they think going to college was a good choice in their life and the degree they think knowledge learned in college is helpful to them. Based on the results, the study suggested what to be considered at professors, school personnel, and university level and discussed how to reduce dropout rate of freshmen in university.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.390-396
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• 2019

This study was undertaken to analyze factors influencing the emotional labor and emotional intelligence of a dental hygienist on organizational effectiveness. The study was conducted between September 4, 2018 to December 7, 2018, enrolling a total of 233 dental hygienists living in the Jeollabuk-do province. The data were analyzed by independent t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson's correlation coefficient, and stepwise multiple regression, using SPSS 18.0. The regression model obtained was F=138.917, P<0.05, with an explanatory percentage of 58.2. Emotional labor (${\beta}=0.608$) was determined to be the most influential variable among independent variables, and other factors affecting the organizational effectiveness of a dental hygienist include the highest level of education, career, and emotional intelligence. We conclude that in order to improve organizational effectiveness among dental hygienists, it is necessary to establish an effective plan for reducing emotional labor and promote emotional intelligence.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.138-145
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• 2021

The purpose of this study was to investigate the mediating effects of academic procrastination behavior on the relationship between academic stress and dropout intention. The research questions are First, does the academic stress of college students influence the intention to drop out? Second, does academic procrastination behavior the relationship between academic stress and dropout intention? A survey was conducted on 218 college students about academic stress, dropout intention, and academic procrastination behavior. Correlation analysis was conducted to find out the relationship between academic stress, dropout, and academic procrastination behavior, and Multiple regression analysis was performed to determine the moderating effect of academic procrastination behavior. The mediating effect was verified using Baron and Kenny's procedure, and the significance was verified by Sobel verification. The results are as follows: First, academic stress, dropout intention, and academic delay behavior showed significant positive correlations.. Second, Academic stress showed 15% of explanatory power as an influential factor on dropout intention, and 5% of explanatory power was an influential factor on academic procrastination behavior. Third, the through mediation analysis, there was partial mediated effects of academic procrastination behavior between academic stress and dropout intention. Our findings suggest that to improve the dropout intention among college students, educators should carefully design and develop an education program

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.621-628
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• 2021

This paper proposes a method to calibrate a thermal camera with three different perspectives. In particular, the intrinsic parameters of the camera and re-projection errors were provided to quantify the accuracy of the calibration result. Three lenses of the camera capture the same image, but they are not overlapped, and the image resolution is worse than the one captured by the RGB camera. In computer vision, camera calibration is one of the most important and fundamental tasks to calculate the distance between camera (s) and a target object or the three-dimensional (3D) coordinates of a point in a 3D object. Once calibration is complete, the intrinsic and the extrinsic parameters of the camera(s) are provided. The intrinsic parameters are composed of the focal length, skewness factor, and principal points, and the extrinsic parameters are composed of the relative rotation and translation of the camera(s). This study estimated the intrinsic parameters of thermal cameras that have three lenses of different perspectives. In particular, image enhancement based on a deep learning algorithm was carried out to improve the quality of the calibration results. Experimental results are provided to substantiate the proposed method.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.6
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• pp.175-181
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• 2022

The condition of infrastructure deteriorates as the service life increases. Since most infrastructure in South Korea were intensively built during the period of economic growth, the proportion of outdated infrastructure is rapidly increasing now. Aging of such infrastructure can lead to safety accidents and even human casualties. To prevent these issues in advance, periodic and accurate inspection is essential. For this reason, the need for research to detect various types of damage using computer vision and deep learning is increasingly required in the field of remotely controlled or autonomous inspection. To this end, this study proposed a neural network structure that can detect concrete damage by classifying it into three types. In particular, the proposed neural network can detect them more accurately through a hierarchical learning technique. This neural network was trained with 2,026 damage images and tested with 508 damage images. As a result, we completed an algorithm with average mean intersection over union of 67.04% and F1 score of 52.65%. It is expected that the proposed damage detection algorithm could apply to accurate facility condition diagnosis in the near future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.223-235
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• 2022

The satisfaction and performance levels of employees also depend upon the leadership styles adopted by corporate leaders. Meanwhile, organizational identification is a fundamental organizational behavioural concept in business that influences employee belongingness with the organization. Taking into account the relevance of this research topic, this paper aims to understand of organizational identification and leadership styles in SMEs. It also investigated the mediation role of organizational true. For the analysis, a questionnaire survey was conducted on employees of SMEs, and the collected data were analyzed using the hierarchical multiple regression analysis. Analysis results are as follows: First, out of leadership style, transformational leadership, transactional Leadership had a positive effect on job satisfaction. Second, organizational identification had a positive effect on job satisfaction. Third, in the relationship between leadership, organizational identification and job satisfaction, the mediating effect of organizational true had significant transformational leadership→organizational truer→job satisfaction, transactional leadership→organizational truer→job satisfaction, organizational identification→organizational truer→job satisfaction. The results of this study show that the role of middle managers is very important in SMEs. The leadership of SME managers can also be linked to organizational performance through the job satisfaction of workers. Therefore, SME' CEO should provide opportunities to receive professional training on the leadership of middle managers. In addition, SME' CEO need a strategy to instill a positive image of the organization in workers through the organizational vision.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.218-230
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• 2024

Recently, many studies have been conducted for safety management in construction sites by incorporating computer vision. Anchor box parameters are used in state-of-the-art deep learning-based object detection and segmentation, and the optimized parameters are critical in the training process to ensure consistent accuracy. Those parameters are generally tuned by fixing the shape and size by the user's heuristic method, and a single parameter controls the training rate in the model. However, the anchor box parameters are sensitive depending on the type of object and the size of the object, and as the number of training data increases. There is a limit to reflecting all the characteristics of the training data with a single parameter. Therefore, this paper suggests a method of applying multiple parameters optimized through data split to solve the above-mentioned problem. Criteria for efficiently segmenting integrated training data according to object size, number of objects, and shape of objects were established, and the effectiveness of the proposed data split method was verified through a comparative study of conventional scheme and proposed methods.

• Journal of the Korean Society of Radiology
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• v.84 no.6
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• pp.1367-1372
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• 2023

Primary angiitis of the central nervous system (PACNS) is a rare vasculitis in the central nervous system. Herein, we report a case of diagnosis and treatment of necrotic pattern PACNS, which was difficult to differentiate from a brain abscess. A 19-year-old male presented with blurred vision and a headache. Brain MRI revealed irregular rim-enhancing necrotic masses with central diffusion-high signal intensity in the corpus callosum and peripheral diffusion-high signal intensity in the left parietotemporal periventricular area. Susceptibility-weighted imaging revealed multiple punctate hemorrhages in the lesions. The patient was diagnosed with unusual abscess or tumefactive PACNS. Therefore, we initially treated the patient with antibiotics to rule out brain abscess. However, the brain lesions did not improve on follow-up MRI after the antibiotic treatment. Surgical biopsy was performed, and the histopathological diagnosis was PACNS with a necrotic pattern. The necrotic lesions became smaller on follow-up MRI after high-dose corticosteroid treatment.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.139-166
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• 2010

The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.