This study examined the effects of household head’s worker status change type on household income and household head’s income using a total combined sample of 2,578 households from Korea surveyed in 1998 and 2002 KLIPS(Korean Labor and Income Panel Study). Binary logit regression results showed that household incomes were likely to decrease significantly when household head’s changed worker status from a regular employee, a temporary employee or a daily worker, or an employer or a self-employed to no job status, or from a regular employee to a temporary employee or a daily worker, an employer or a self-employed, or from an employer or a self-employed to a regular employee compared to a regular employee status maintenance. In contrast, household head’s incomes were likely to increase significantly when household head’s changed worker status from a temporary to a regular employee compared to a regular employee status maintenance. Women household heads were significantly associated with the likelihood of the decrease of household head’s income compared to men household heads. Household heads beyond their forties were significantly associated with the likelihood of the decrease of household head’s income compared to household heads in their thirties age-group counterparts. Household heads with education level beyond high school graduation were significantly associated with the likelihood of the increase of household head’s income compared to household heads with the education level of high school graduation. This study shows that a more comprehesive labor policy is needed for achieving sustainable household income inflow.
This study is planned to investigate the compliance of small sized enterprises of under 5 employees directed by Industrial Safety and Health Act. Occupational safety regulation can be required for employer and employee to comply because that all members of workplace should be involved to protect worker's health. When all members of workplace comply with safety regulation, effectiveness of regulation will be realized as expectation. The study subject is composed of three groups as 501 employers, 501 employees of small sized enterprises of under 5 employees and 107 safety inspectors sampled by stratified random sampling for comparison. Data for analysis is collected from each sample using interview with structured questionnaires. Compliance is measured by 5 point scale composed by 8 sub items such as general perception, understanding, clearness, necessity, relevancy, implementation, penalty, and general compliance of the regulation. Among sub items of employer's compliance, the level of perception of regulation, necessity of regulation, relevancy of penalty are differentiated among three groups. The level of all 8 items of employee's compliance also differentiated among three groups. These results show that strategies for ensuring the same level of compliance among three groups will be needed through education, training and evaluation of regulation and feedback.
International Journal of Computer Science & Network Security
/
v.24
no.7
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pp.108-117
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2024
The selection and recommendation of a suitable job applicant from the pool of thousands of applications are often daunting jobs for an employer. The recommendation and selection process significantly increases the workload of the concerned department of an employer. Thus, Resume Classification System using the Natural Language Processing (NLP) and Machine Learning (ML) techniques could automate this tedious process and ease the job of an employer. Moreover, the automation of this process can significantly expedite and transparent the applicants' selection process with mere human involvement. Nevertheless, various Machine Learning approaches have been proposed to develop Resume Classification Systems. However, this study presents an automated NLP and ML-based system that classifies the Resumes according to job categories with performance guarantees. This study employs various ML algorithms and NLP techniques to measure the accuracy of Resume Classification Systems and proposes a solution with better accuracy and reliability in different settings. To demonstrate the significance of NLP & ML techniques for processing & classification of Resumes, the extracted features were tested on nine machine learning models Support Vector Machine - SVM (Linear, SGD, SVC & NuSVC), Naïve Bayes (Bernoulli, Multinomial & Gaussian), K-Nearest Neighbor (KNN) and Logistic Regression (LR). The Term-Frequency Inverse Document (TF-IDF) feature representation scheme proven suitable for Resume Classification Task. The developed models were evaluated using F-ScoreM, RecallM, PrecissionM, and overall Accuracy. The experimental results indicate that using the One-Vs-Rest-Classification strategy for this multi-class Resume Classification task, the SVM class of Machine Learning algorithms performed better on the study dataset with over 96% overall accuracy. The promising results suggest that NLP & ML techniques employed in this study could be used for the Resume Classification task.
This study was carried out from 1993 to 1994 in the small industries in Incheon. The objectives of this study was in order to estimate the quitting rate, to identify its relating factors and to propose effective quitting management policy in the small industries. The results were as follows ; 1. The quitting rate of 266 study workers was 42.1%(112 workers). 2. Age, working duration, position, marrital status were significant difference between the quitting group and the non - quitting group. In the quitting group, mean age was young, working duration was short, general employees and unmarried workers were many compared with the non - quitting group. 3. In the industry characteristics, total assets, total assets, sales per person, establishment duration and occupational health and safely status were significant difference between the quitting group and the non - quitting group. In the quitting group, total assets, total sales and sales per person were little, establishment duration of company was short and occupational health and safety status were poor compared with the non - quitting group. 4. In the quitting group, worker's response to employer's disposal about health and safety was more passive and the relation to employer with employee was significantly poor compared with the non - quitting group. 5. Multiple logistic regression analysis of quitting against family income per person, working duration, relation to employer with employee, occupational health and safety status in industry, worker's response to employer's disposal about health and safety and sales per person was done. Working duration, occupational health and safety status, worker's response to employer'1 disposal about health and safety were significant explainatory variables for quitting. Above results showed that the quitting rate was high and it was significant difference between the quitting group and non : quitting group according to characteristics of workers and of industries. Especially, it suggested that working duration, occupational health and safety status and worker's response to employer's disposal about health and safety were significant quitting factor. Therefore, it should be reflected in the quitting management and the policy of steady employment.
The compensation system in industrial accident insurance is systemized with "either receiving all or no benefits at all" according to "admited or denied as an industrial accident". Therefore, they are centered on the decision as "industrial accident" or "non-industrial accident", but judging between the two is very complicated, and has inherent conflicting factors. In the early stage of industrialization, industrial accident compensation was based on the indemnity liability for employer's faults. In order to be compensated any damage, the injured worker should prove that the accident was not due to his or her faults. However it was very difficult for injured worker or his or her family to prove the employer's faults, so it was almost impossible to get compensation. Thereafter industrialization progress and improvement of workers' political status lead to conversion from principle of liability with employer's faults to principle of liability without employer's faults. In addition to that, coverage of industrial accident compensation was also expanded. This improvement strengthened the benefit payment principle of "All or Nothing". Even though the "All or Nothing" principle provokes tremendous criticism, the reason why it's difficult for industrialized countries to adopt partial compensation system, is that partial compensation system worsens the administrative hardship, therefore industrialized countries overcome the restrictions of the "All or Nothing" principle with making balance in provisions for any risk to some extent. However, in Korea because the general compensation system for covering medical cost and income loss from accidents, is not equipped, it could be possible to cause acute conflicts with regard to coverage of industrial accidents. Therefore it is required to improve the industrial accident insurance with the acceptance of the significance and logic of discriminated compensation, and create the integrated compensation system in the long run.
Most countries have been promoted the legislative policy for the legal employment, causing a social conflicts by illegal immigrants in any countries. Despite the efforts to alleviate the illegal aliens, there are not nearly enough successful cases, and encounter a social problem about illegal stay worker. China is no exception. At present, the issue of China's foreign illegal employment is expected to be a social problem in the present and the future. However, the legislative policy against immigration control law and illegal foreign employment in China is very neglectful. There is a lack of adjusting rule of law on illegal foreign workers in China, and the remedy is also insufficient. It is necessary to secure a legal right for the protection of the Rights of illegal foreign workers based on the international norms. For this purpose, the illegal foreign workers related law should be enacted, and based on this, administration should be strengthened. The trend of major countries of illegal aliens is centered around an employer hiring strictly regulated. There is a need to have a strengthen regulation on the employer rather than the foreign workers in China. To this end, employer who hire illegal foreign workers should be required to receive considerable disadvantages such as penalties and fines, prison sentences, as well as various kinds of burdens and repatriation costs. It is necessary to run the voluntary repatriation(Freiwillige $R\ddot{u}ckehr$) program of illegal immigrants, and there is a need to take action for illegal immigrants who voluntary return home within a certain period are exempt from penalty. In conclusion, China must push ahead with a direction of positive policy in related ministries rather than sit on its hands on the wrong choice or a confusion of an employer and foreign workers with a policy on illegal foreign residents in limbo.
The purpose of this study is to inverstigate the need of child care services and child care programs for the working class mothers. We surveyed four Industrial complex (in Seoul, Incheon, Pusan, Ulsan) to collect data. The samples were 282 mothers (Seoul: 95, Incheon: 54, Ulsan: 62, Pusan: 71). The mothers had children under six years of age and they worked at factory for 11 hours. They (65%) rented houses with 1-2 rooms. Their income was not enought to support their family. They were never supported by social network, so they had to work at factory and they need child care services. The mothers had many difficulties of child rearing and early childhood education. They wanted perfect day care programs. They expected it as followings: (1) Day care center placed at factory or near home. (2) The administrater is goverment or employer. (3) It is managed a full time system. (4) It is center-based day care or industrical day care. (5) They share day care expense with employer or goverment. (6) Day care expenses is 35,000 won in case of full time system, 25,000 won in case of half-time system. They desited highly qualifed day care programs, but they would not expense highly cost. So we suggest that goverment and factory employers support the working mothers.
Park, Jeongsook;Kim, Kwang-Kee;Kim, Hyoung-Ah;Yi, Yunjeong
Korean Journal of Occupational Health Nursing
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v.21
no.2
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pp.125-133
/
2012
Purpose: This study is to identify factors associated with performance of occupational health services in small-sized workplaces in Korea. Methods: The data were collected from a random sample of 1,158 occupational health managers working for small-sized workplaces across the nation in which occupational health services were supported by Korean Industrial Health Association. A structured questionnaire was self-administrated by occupational health managers about characteristics of workplaces, occupational health managers, and performance level of occupational health services. Results: Stepwise multiple regression analyses revealed that factors associated with performance of occupational health services in small-sized workplaces included supervisor being designated, occupational health manager having received safety and health training, and employer's concern with activities of health management. Conclusion: Government should make efforts to raise the level of employer's concern to occupational health activities. And it is needed to promote health managing staff as a core personnel to self-management for occupational health system.
The purpose of this study is to development of venture business curriculum by FGI interview to venture CEO and related field employer and suggest to venture related structure of liberal art, major part of undergraduate and graduate school. Research methods are 2 step interview with 325 venture business CEO and related employer. They selected practical course to motivate venture entrepreneurship among 3 subsidiary (entrepreneurial condition, psychology of entrepreneur, competency of entrepreneurial technology, competency of entrepreneurial knowledge, competency of managing growing business). Major findings are as follows; the selected course category of entrepreneurial condition of liberal art are venture mind and entrepreneurship, venture biz and spearhed industry. The selected course category of psychology of entrepreneur are leadership, personal relationship, and creativity, negotiation skill, etc. The selected course category of competency of entrepreneurial technology are venture technology, introduction to technology trends. The selected course category of competency of entrepreneurial knowledge are biz validity, entrepreneurship, the discovery of business opportunity, utilization of monetary resource etc. The selected course category of competency of managing growing business are operating strategy of venture business, service marketing and technical innovation and technology management.
Purpose - In this study, we consider and examine relationships between reasons for business switch or liquidation (BSL), and the demographics of small and medium enterprises (SMEs) in South Korea. The related five variables are occupations, administrative districts, age of employer, firm age and foundation motivation. In addition, eleven levels in association with reasons for BSL visualize the corresponding demographics by measuring their similarity on the dimensional planes assuming that the association exists between variables under consideration. Research design, data, and methodology - This study is done by the Ministry of SMEs and Startups in 2016 and examines 20,307 small and medium enterprises. For examining the distinct relationships among variables under consideration, both chi-squared test and correspondence analysis as main statistical tools are used. Results - The results show that among levels of reasons for BSL the three levels -weakening profitability, poor sales and economic depression- are main ones for the five demographics variables mentioned above, and we can obtain the detailed associations between attributes of corresponding variables by inspecting the two dimensional plane. Conclusions - This study suggests reasons for BSL are closely associated with the five different demographics variables - Administrative districts, Firm age, Occupations, Age of employer and Foundation motivation-by looking over results.
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