The purpose of this research was to identify the effects of factors determining life satisfaction (LS) of local residents in chungbuk province. After reviewing the literature, this research selected and developed the 9 categories and specific indicators of LS. This research had obtained data through a face to face investigation using questionnaire, which surveyed 1,619 residents at 11 local governments in chungbuk province. This research analyzed the data using descriptive statistical methods and multiple linear regression method. This research found that 1) the level of overall LS had 4.433 points out of 7, the level of residential environment satisfaction had highest point (4.911), but the level of leisure culture satisfaction had lowest point (4.155), 2) in multiple regression analysis, The effect of income and consumption level on LS was highest. The degree of labor and life-social services was important factor to increase LS. The results of this study were expected to provide many implications for implementing policies to improve LS in the country and local governments.
KIPS Transactions on Computer and Communication Systems
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v.6
no.8
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pp.359-368
/
2017
What is the term "intelligence information society", which is a term that has been continuously discussed recently? This means that the automation beyond the limits of human ability in the whole societies based on intelligent information technology is a universalized social future. In particular, it is a concept that minimizes human intervention and continuously pursues evolution to data (or big data) -based automation. For example, autonomous automation is constantly aiming at unmanned vehicles with artificial intelligence as a key element. However, until now, intelligent information research has focused on the intelligence itself and has made an effort to improve intelligence logic and replace human brain and intelligence. On the other hand, in order to replace the human labor force, we have continued to make efforts to replace workers with robots by analyzing the working principles of workers and developing optimized simple logic. This study proposes important strategies and directions to implement intelligent information education policy and intelligent information technology research strategy by suggesting access strategy, education method and detailed policy road map for intelligent information technology research strategy and educational service. In particular, we propose a phased approach to intelligent information education such as basic intelligence education, intelligent content education, and intelligent application education. In addition, we propose education policy plan for the improvement of intelligent information technology, intelligent education contents, and intelligent education system as an important factor for success and failure of the 4th industrial revolution, which is centered on intelligence and automation.
Korean Journal of Construction Engineering and Management
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v.19
no.5
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pp.111-120
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2018
Recently, Domestic public construction projects are experiencing a great deal of disputes because of the growing uncertainty about the criteria for calculating the prolongation cost. In addition, researchers have been studying various systems and proper cost estimates in an effort to reduce the uncertainty of these systems and the occurrence of disputes. However, there is no standard yet for social consensus. Meanwhile, The study on the classification system according to the recognition standard of accounting has been systematically studied. As a result, the concepts of accrual and cash basis are defined separately. The purpose of this study is to verify the possibility of applying the concept of 'accrual basis' to the Standard for calculation of prolongation cost. Therefore, As a result of analyzing the occurrence pattern of Job-site overhead cost, it is confirmed that actual costs can not be calculated by the cash-basis method. In particular, the implications of the necessity of the accrual-basis method should be more strictly indicated in the case of items such as indirect labor costs and welfare benefits. In addition, the contractor 's claim report and the appraisal report were examined. As a result, it was confirmed that the calculation situations of prolongation costs are biased to the cash-basis method. In this way, it is suggested that necessary to supplement the calculation standard of the actual costs from the point of view of accrual basis.
The Journal of Korean society of community based occupational therapy
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v.10
no.2
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pp.47-61
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2020
Objective : This study aim to identify the relationships among the types of physical activities included related included related work, sports, leisure, transport and sedentary behaviors and mental health in elderly person. Methods : We analyzed using the data of the 7th Korea National Health and Nutrition Examination Survey(KNHANES VII-1) of 978 subjects who underwent the types of physical activities, quality of life, depression, level of stress, and sleeping hours survey. For statistical analysis, the Complex samples linear regression was used for relationships among the variables. Results : High level of physical activity and house-keeping activity associated negatively on health related quality of life. Mid-High level of leisure activities associated positively on health related quality of life. Contrasting from other studies, which show sedentary activities associated negatively on the health related quality of life, and sedentary activities associated positively on the health related quality of life and mental health. Conclusion : This study shows that physical and leisure activity of an elderly person whilst sedentary activities related positively on health related quality of life, and physical activities related to labor associated negatively on health related quality of life. Future studies should be referred when planning an occupation-focused and meaningful activity program for the elderly people.
The routinized tasks in the post-COVID era are to be replaced by digital technologies, while there is a high possibility that digital transformation technologies and non-routinized tasks have strong complementarity. In particular, looking at the job composition within Korea's industries, the intensities of routinized works appear to be continuously rising. It suggests that the potential side effects on the labor market caused by the acceleration of digital transformation in the post-COVID era will be greater within Korean innovation system. With this background, this study aims to provide a conceptual framework for dealing with potential crises such as, job polarization and widening gaps between workers in terms of economic earnings, based on an in-depth understanding of the inherent properties of digital transformation that will lead to structural changes in our economic and social system. In particular, focusing on the interaction between digital transformation technology and learning in the post-COVID era, this study attempts to redefine the role of the innovation policy for making a successful transition to a new equilibrium state. In addition, this study examines the institutional conditions of the Korean innovation system which affect the creative learning activities of economic actors to draw policy implications for establishing future-oriented innovation policy. Based on these approaches, this study highlights the importance of coevolution between the skills demand and skills supply to spur inclusiveness of Korean innovation system in the post-COVID era.
This study surveyed and analyzed the labor market result when comparing the case that junior college students found a job after transferring to 4-year university with the case that they found the job directly after graduating the junior college. The difference of the occupational structure following the transfer was surveyed in detail and this study examined what effect the transfer had on the occupation status. The graduate occupation movement survey(GOMS) was used and the samples of 544 persons were extracted to use through propensity score matching(PSM) to raise the choice convenience of the sample. The occupation status index to use as a dependent variable was developed to apply. The study result is as follows. First, as a result of confirming the occupational structure of the transfer, the transfer students were distributed in more various industrial fields evenly compared to the non-transfer students in the horizontal industrial structure, and non-transfer students were intensively distributed in the certain field. In the vertical occupation status structure, transfer students were distributed in the high occupation status more than non-transfer students who were broadly distributed in the low occupation status. Second, it was revealed the college transfer was highly effective for the occupation status, which appeared statistically significantly. The explanation variable that appeared significantly outside of that included the parents' academic background, major affiliation, employment pattern, major job coincidence, and job coincidence. The higher students' academic background was, the higher the occupation status was and in case of the engineering natural science affiliation, the occupation status was higher than the humanities social science. In case of full-time workers, their occupation status was higher than one of part time workers and it was revealed the occupation status was high when the their major coincided with the job and their educational/technical level coincided with their job.
There has been a lively debate between self-employed and wage workers on the speed of minimum wage hikes. Minimum wage is a redistributive policy that evokes confrontation and conflict whereby individuals' views on the policy coincide with their material self-interest. With this in mind, the researcher analyzed whether an individual's labor market status was explanatory to his/her view on the speed of minimum wage hike. Moreover, in light of the likelihood that the varying degree to which self-employed can afford minimum wage hike affects their differential preferences for the policy, the researcher attempted to identify whether there was a moderation effect of income class on the relationship. In the actual analysis, the researcher investigated employment policy survey dataset using a multinomial logit model. The results suggest that, among self-employed, 'gradual increase' and 'rapid increase' of minimum wages are less preferred $vis-{\grave{a}}-vis$ 'minimal increase,' which is the reference. As to the moderation effect, when a self-employed has a middle-income class status, his/her negative preference for the policy is likely to be attenuated. One implication of this study is that subsidizing self-employed small business owners, who are most dissatisfied with the current speed at which minimum wages rise, would be an effective prescription on reducing social conflicts.
Changes in demographic and economic conditions affect corporate strategy, labor market and social welfare. The purpose of this study is to examine the effects of changes in population and economic situation on library use and to examine the income effect of library use. In order to achieve the purpose of this study, we analyzed the 10 year fixed library of public library statistics and statistical census data from 2008 to 2017 using the panel fixed effect model using the data of regional gross production and unemployment rate. And the changes in the economic and demographic characteristics of the region are used to confirm the regularity of the relationship between the changes in the usage situation of the libraries belonging to a certain region and the changes in the economic and demographic conditions in the respective regions. As a result of the analysis, the changes in the economic environment did not significantly affect the number of visitors to the library and the number of library users, but it was an important factor in the number of borrowers. This study is significant in that it shows how the economic environment changes affect the library. The result of this study is expected to be a theoretical basis for establishing the service policy of public libraries.
Journal of The Korean Association For Science Education
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v.38
no.6
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pp.781-792
/
2018
In modern society, as technology develops and industry diversifies, students can choose from a variety of career paths. Since science, technology, engineering, and mathematics require a longer education and experience than other fields, it is important to design science education policies based on the competencies required for science, technology, engineering, and mathematics (STEM) occupations. This study explores the definition of science and technology manpower and STEM occupations and identifies core competencies of STEM occupations using standard job information operated and maintained by the US Department of Labor ($O^*NET$). We specially analyzed ratings of the importance of skills (35 ratings), knowledge (33 ratings), and work activities (41 ratings) conducting descriptive analysis and principal component analysis (PCA). As a result, core competencies of STEM occupations consist of STEM problem-solving competency, Management competency, Technical competency, Social service competency, Teaching competency, Design competency, Bio-chemistry competency, and Public service competency, which accounts for 70% of the total variance. This study can be a reference for setting the curriculum and educational goals in secondary and college education by showing the diversity of science and technology occupations and the competencies required for STEM occupations.
In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.
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