• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.65-71
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• 2016

This study conducts an analysis on the relative significance and urgency of competence factors for jobs in the field of Social Welfare through a demand analysis on the vocational training of the K Human Resource Development Institute regarding the National Competency Standards (NCS) in the field of Social Welfare, which was developed in the year 2014. The aim is to derive competence factors with high demands in education and high necessity of curriculum development based on the analysis. The data of 1,227 persons: 583 public officials and 644 private employees, was analyzed by using SPSS 18.0 and Microsoft Excel 2013. Results of the demand assessment on vocational training are as follows: for public officials, 4 competences in social development jobs (social area analysis, needs assessment, community resource building, community network, social assessment, community organizing, and welfare planning), 2 competences in public welfare jobs (management of unusual complaints in welfare and civil cooperation in resource development), and 2 competences in social welfare administration jobs (financial management in social welfare organizations and welfare planning) had high urgency in competence development. Implications were suggested based on the results.

• Journal of Labour Economics
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• v.30 no.3
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• pp.1-41
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• 2007

Since Korea experienced a 'jobless growth' in 2003, creating jobs in the service sector has been considered as a top priority employment agenda. However, despite high employment outcomes in services, labor productivity remains stagnant in the service sector in recent years. A great deal of concern has been raised regarding newly created service jobs. Critics say low productivity in the service sector will harm the engine of economic growth in our country. This paper investigates the side of the demand for quality of labor, namely, the demand for skills as one of the main source of low productivity in the service sector. To analyze the changes of skills demand, this paper suggests the concept of job-based skills instead of worker-based skills and presents the way of constructing measures of job-based skills. By means of common factor analysis using job information in the Korean Dictionary of Occupational Titles, I extract 4 direct measures of job-based skills, such as cognitive skills, physical skills, fine skills, interactive skills. These skill measures are used to explore and to test how the skill structure changed in the service sector during 2002-2006. Empirical Results show that whereas the goods sector makes progress toward upskilling being represented by increased cognitive elements and softenization of tasks, the service sector, although high-educated workers increased, exhibits trends of deskilling in the sense of job-based skills during 2002-2006 in Korea. The trend of deskilling however does not seem a general aspect in the overall service sector. Rather, it seems a compound process that high-skilled jobs are created, but, on the other hand low-skilled jobs requiring physical labor are produced at the same time.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.223-229
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• 2022

LinkedIn is one of the most job hunting and career-growing applications in the world. There are a lot of opportunities and jobs available on LinkedIn. According to statistics, LinkedIn has 738M+ members. 14M+ open jobs on LinkedIn and 55M+ Companies listed on this mega-connected application. A lot of vacancies are available daily. LinkedIn data has been used for the research work carried out in this paper. This in turn can significantly tackle the challenges faced by LinkedIn and other job posting applications to improve the levels of jobs available in the industry. This research introduces Text Processing in natural language processing on datasets of LinkedIn which aims to find out the jobs that appear most in a month or/and year. Therefore, the large data became renewed into the required or needful source. This study thus uses Multinomial Naïve Bayes and Linear Support Vector Machine learning algorithms for text classification and developed a trained multilingual dataset. The results indicate the most needed job vacancies in any field. This will help students, job seekers, and entrepreneurs with their career decisions

• Journal of Technology Innovation
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• v.16 no.2
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• pp.201-223
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• 2008

This paper studies the supply and demand of Industrial Technology Labor-force(ITL) and analyzes the determinate of ITL shortage in Korean manufacturing. We classified the industry into four categories-high technology industries, medium-high technology industries, medium-low technology industries and low technology industries-based on its R&D intensity like OECD. For the empirical analyses we use a survey data collected from 5,703 enterprises. The key findings are as follows: Firstly, a large majority of ITL is engaged in more technology-intensive industries but the categories that are exposed to more serious labor-force shortage problem are medium-high technology industries and low technology industries. Secondly, in the terms of supply factor, the ITL shortage problems are mainly due to the avoidance of ITL jobs. And the demand point, the reason is that the most of ITL are not researchers but production managers. Thirdly, the cause of imbalance between supply and demand of ITL are different by the technological categories. For example, in the high technology industries, the supply factors, such as average wage and turnover rate played more important role in the imbalance. But in the low technology industries the demand factors, such as per capita sales and the ratio of ITL in all employees were relatively much more important. Based on the findings, we discovered some political meanings such as the necessity to plan various policies to resolve the shortage problem of ITL according to the technological categories, etc.

• Journal of Labour Economics
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• v.31 no.1
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• pp.1-27
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• 2008

This study analyzes the causes of increase in temporary workers observed in the recent Korean labor market. In the analysis of sectors with relatively high ratio of temporary workers, the manufacturing sector tends to hire temporary workers in order to raise profitability, while wholesale & retails and construction sectors tend to employ temporary workers due to the fluctuation of product demand. Another possibility is that with the expansion of college graduates, it is likely that temporary jobs are used as a screening device to reduce the uncertainty of workers quality.

• Safety and Health at Work
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• v.5 no.3
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• pp.165-167
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• 2014

The Dutch construction industry has introduced a compulsory preemployment medical examination (PE-ME). Best-evidence contents related to specific job demands are, however, lacking and need to be gathered. After the identification of job demands and health problems in the construction industry (systematic literature search and expert meeting), specific job demands and related requirements were defined and instruments proposed. Finally, a work ability assessment was linked to the instruments' outcomes, resulting in the modular character of the developed PE-ME. Twenty-two specific job demands for all Dutch construction jobs were identified, including kneeling/squatting, working under time pressure, and exposure to hazardous substances. The next step was proposing self-report questions, screening questionnaires, clinical tests, and/or performance-based tests, leading to a work ability judgment. "Lifting/carrying" is described as an example. The new modular PE-ME enables a job-specific assessment of work ability to be made for more than 100 jobs in the Dutch construction industry.

• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.79-96
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• 2024

The purpose of this study is to analyze the factors affecting residential mobility between urban and rural. After classifying urban and rural region based on discriminatory attributes of the regions, we applied a multinomial logistic model, using the sample data of 2020 Korea Population and Housing Census. The major findings are as follows. The young highly educated in cities avoided rural. The young less educated in rural engaged in 2, 3th industries as well as agricultural industry, but remained in low-paying and unstable jobs. In addition, various classes moved to rural and rising house prices in cities pushed people to rural. Therefore, it is necessary to develop diversified regional industry models and provide opportunities for high quality and stable jobs in rural by linking industrial demand, education and jobs. Also, preserving the rural environment, settlement conditions and residential environment are needed for satisfying various needs of urban residents who migrate to rural areas. While regional policies so far have focused on maintaining the population size and promoting a population influx, rural development and population policies should be established in a way that responds to diverse population classes in an era of population decline.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.2
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• pp.168-189
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• 2015

The job creation has been the most pressing issue after financial crisis in many countries around the world. Various policies for creating jobs have been implemented in order to revitalize regional economy in Korea. It has been known that the jobs have been created more in low-wage and part-time work than high-wage and full-time work. The purpose of this study is to analyze the differentiation of startups job in local labor market areas(LLMAs) in terms of job quantity as well as job quality. As the spatial unit, 121 local labor market areas which were delineated based on self-containment rate(demand and supply side of labor market) and numbers of resident workers are used. Also due to difference of the size of employment, LLMAs are classified into 3 groups: large, Medium, small LLMAs. The major results are as follows: First, the characteristics of the job creation are varied among 3 groups in terms of the quantitative and qualitative aspects. Highly waged and highly value-added jobs have been created more in large LLMAs, but full-time jobs created more in small LLMAs. Secondly, the job creation of LLMAs is somewhat weakly correlated to regional economic performance. While the quality of jobs is correlated to regional economic performance in Medium LLMAs, the quantity of jobs is significantly correlated to regional economic performance in small LLMAs. The results of this research give some implications for implementing the effective policy to create jobs related to regional economy, indicating that differentiated strategies for 3 groups of LLMAs is critically important.

• The Journal of Industrial Distribution & Business
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• v.11 no.5
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• pp.35-44
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• 2020

Purpose: The purpose of this study is to present a plan to expand the employment of the elderly in Small business as one of the ways to solve the problem of the supply and demand of the company due to the aging population and the problem of the elderly poverty. Research design, data and methodology: The method of this study is a qualitative research method, and the researcher visited a small and medium-sized company directly and collected data by conducting an in-depth interview with a business owner. The interview period was conducted on a total of 15 business owners from November 5, 2013 to November 18, 2013. Results: First, the reason why companies hire the elderly is because they are suitable people, and the reason why they are not employed is because the elderly are not suitable. Second, it was found that the most recruiting paths continued to work after retirement. Third, the strengths of the elderly in their businesses were diligence, integrity, leadership, wisdom, warmth, and skill. Disadvantages the elderly in their businesses include wanting to be treated as an adult, poor productivity, poor accuracy, and health risks. Fourth, in case of hiring the elderly, they were considering convergence with young employees, and it was suggested that there are no difficulties in being an elderly because the companies hiring the elderly use the elderly according to the characteristics of the elderly. Fifth, It is realistic to actively utilize the employment system after retirement. Sixth, it was found that, unlike young people, it is not easy to recruit people on the Internet, so it is necessary to improve the system. Lastly, some industries clearly distinguished between the jobs of the elderly and the jobs of the young, but in many industries, it was desirable to create jobs for the elderly by harmonizing the main and secondary jobs. Conclusion: Ultimately, the work of the elderly in small and medium-sized enterprises should be reborn as a high-quality job that can solve the poverty of the elderly by working as a regular worker in the enterprise, rather than simply working for the elderly.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.147-154
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• 2024

The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.