• Journal of Labour Economics
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• v.37 no.4
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• pp.143-157
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• 2014

The purpose of this study is twofold. First, it shows how to calculate the size of nonregular workers in Korea using the supplemental surveys to the Economically Active Population Surveys. Second, it decomposes the difference in the share of nonregular workers between 2005 and 2013 by a Oaxaca-type method.. The obtained results indicate that the differences in coefficients rather than the differences in characteristics are mainly responsible for the decline in the share of nonregular workers. This implies that a worker with the same characteristics is more likely to be a regular worker in 2013 than in 2005. This tendency may come from the changes in workers's as well as firms' employment practices. Also, it is suspected that the Nonregular Worker Act enacted in 2007 may have contributed to the decrease in the share of nonregular workers.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.89-97
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• 2016

Intellectual property rights play a key role in employment creation and income generation plays an important role, especially in the creative economy. Many companies are ultimately increasing efforts to boost the company's financial performance, such as maximizing profits by building a strong brand assets amid committed to brand management in this paradigm. Reasonable evaluation and commercialization of technology transactions, financial assistance, investment decisions, trademark brand value for the reactivation (revitalizing) for the purposes of M & A, litigation, brand strategy will be said to be very important. In spite of the importance, the awareness of the property and the capabilities to assess are hardly sufficient. Thus, this study, targeting companies with valid trademarks for value assessment, conducted case analysis by cost method and income approach; the analysis presented the result from 2.05 million by the cost method to 2.7 million by the income approach applied to a variable discount rate and adjustment contribution. However, now that the implication was drawn from a single company, further studies covering case study and application plan according to scale and type of diverse company groups should be continued.

• Informatization Policy
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• v.26 no.3
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• pp.53-68
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• 2019

The aim of this study was to empirically investigate the difference in life satisfaction between people with disabilities who utilize the Internet and those who do not. The study also found out through an interaction term analysis if there were differences in their life satisfaction and digital utilization by gender, age, education level, employment status, household income, as well as personal characteristics such as disability type and degree. While the existing studies have been mainly focused on the digital divide between the non-disabled and the disabled, this study attempts to further apply the advanced concept of digital divide - digital utilization divide - within the group of people with disabilities. Based on these research findings, this study shows that the digital utilization by people with disabilities has a statistically significant effect on their quality of life, and that life satisfaction of the people with disabilities who use the Internet is affected by their education level, residence, and disability degree. Consequently, these findings indicate implications that suggest an expanded form of digital divide policies for people with disabilities through broadening perspectives on policies for closing such divide.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.309-328
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• 2005

Comparative analyses were carried out on SCI publication results produced by scientists during their employment at the five domestic ocean-related college and six major oceanographic institutes in other countries. Assessment of research performance included bibliometric indicators : type of research categories, and, evaluation of the reliability of citation data to establish future research goals. Analysis parameters also included number of SCI publication results, cited frequency, higher ranked author group, higher ranked Journal group, higher ranked SCI category for each academic and research Institutes in oceanography. Such analyses can help improve and achieve institutional goals in the future as well as help managing and prioritizing majors scientific journals and information services.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.251-257
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• 2020

This study comparatively analyzed the differences in the talented human resources perceived by enterprises and job seekers in terms of recruitment trends of companies related to the 4th Industrial Revolution, focusing on 16 factors. The analysis data was collected from enterprises and job seekers related to the 4th Industrial Revolution, and the analysis method was applied to a convergence research methodology that mixes social network analysis and variance analysis using big data type. As a result, several things were verified. First, large enterprises emphasized communication, and small enterprises emphasized competency and confidence. Second, in the manufacturing industry, enterprises emphasized confidence and competence, and job seekers emphasized spec and passion. Third, in the service industry, enterprises emphasized personality and competence, and job seekers emphasized spec and global. Fourth, there was a big difference in talented human resources between enterprises and job seekers according to manufacturing and service industries. Based on these results, we discussed the opening of employment information for enterprises to reduce the recognition mismatch in the talented human resources.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.315-324
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• 2016

This study, investigating the differences of public hospital employees' communication, motivation, mutual trust, working conditions, fair compensation, job satisfaction, is to identify the factors affecting organizational performance. Through this, an alternative is suggested, which can maximize organizational performance of hospital employees. The period was from October 5 to October 31, 2014 to collect the data from 232 subjects working in public hospitals. ANOVA and regression analysis were conducted and the finding shows that communication, motivation, mutual trust, working conditions, fair compensation, job satisfaction have a significant difference (p<0.05) based on job categories. In addition, the factors affecting organizational performance were communication and fair compensation (p<0.001) for nursing job, age and employment type (p<0.05) and fair compensation (p<0.001) for Medical Support, motivation and fair compensation (p<0.001) for administrative job. The efforts to improve human resource management in their organization which is able to inspire a sense of belonging should be followed.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.1-8
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• 2018

The purpose of this study is to investigate the interaction effects of organizational context, customer reaction, and job burnout in Senior Welfare organizations. In addition, we will analyze the moderating effects of demographic characteristics (personal characteristics, organizational characteristics). A total of 796 social workers engaged in Senior Welfare projects were analyzed. As a result, the following results were obtained. First. It was found that there was a significant difference between the variables in the sociodemographic characteristics, organizational context, customer reactions, and interaction effects on job burnout. Second, age, employment type, and Social Worker qualifications were the most important variables of control effect. The specific organizational behavioral factors between the employees and the users should be studied.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.95-107
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• 2008

Survey on the rural living indicators was the statistic approved from National Statistical Office and the survey executed by rural resources development institute. This study was used the raw data of survey on the rural living indicators in 2005. After editing procedure for raw data, we were studied 1,582 households which is acquired through elimination of case included nonresponses, and imputed a nonresponses of 15 item selected from 146 item. The imputation methods and efficiency of imputation for simulation was adapted differently from type of data. For continuous data, we imputed the nonresponses with mean imputation, regression imputation, adjusted grey-based k-NN imputation(DU, DW, WU, WW) and compared the results with RMSE. For categorical data, we imputed the nonresponses with mode method, probability imputation, conditional mode method, conditional probability method, hot-deck imputation, and compared the results with Accuracy. By the results, regression imputation and adjusted grey-based k-NN imputation appropriated for continuous data and hot-deck imputation appropriated for categorical data.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.134-143
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• 2021

Recently, with the development of mobile devices and social media services, contents recommendation schemes have been studied. They are typically applied to the job curation systems. Most existing university education content recommendation schemes only recommend the most frequently taken subjects based on the student's school and major. Therefore, they do not consider the type or field of employment that each student wants. In this paper, we propose a university educational contents recommendation scheme for job curation services. The proposed scheme extracts companies that a user is interested in by analyzing his/her activities in the job curation system. The proposed scheme selects graduates or mentors based on the reliability and similarity of graduates who have been employed at the companies of interest. The proposed scheme recommends customized subjects, comparative subjects, and autonomous activity lists to users through collaborative filtering.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5601-5613
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• 2011

The purpose of this paper is to better understand the socio-economic differentials of Internet access and use. Data from '2008 Korean Internet usage behavior' were used to conduct logistic regression analysis. The findings show that there are significant socio-economic(age, gender, educational attainment, employment situation, and Internet access type) disparity in Internet access(Internet access at home, broadband Internet access). Also socio-economic variables enter in as statistically significant in most specifications for Internet use intensity (Intensive internet use, frequent internet use, less frequent internet use). The gender, household income and education attainment explanations for large differential in Internet use intensity are generally very similar. It is shown that age, education attainment and household income level cause a large digital divide on Internet service use(information use, communication and community use, e-commerce use, Internet banking use).