• Journal of Labour Economics
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• v.24 no.2
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• pp.125-162
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• 2001

According to the survey results on non-standard employment, most of the non-standard workers are women and work at service jobs and some jobs that do not require firm-specific skill. Also wages of non-standard workers appear to be lower than those of standard workers by 10~19%. Non-standard workers are very much likely to be excluded from beneficiaries of economic growth because job contents and ability are not important relatively as criteria in determining their basic wage and their benefits are also much lower in severance pay and bonuses, vacations, 4 social insurances, education and training opportunities. Because of very low rate of union membership, the working conditions of non-standard workers are not expected to be improvable easily by unions. It seems that the reason of the demand increase for non-standard workers is mainly because not only an individual establishment demands quantitative flexibility in employment, but also there are tendencies of being smaller in establishment size and of growing service industries macro-economically. The number of non-standard workers are expected to increase continuously in the future, too.

• Journal of Labour Economics
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• v.24 no.2
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• pp.95-123
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• 2001

One of the most pronounced phenomenon among the changes in the 1990s' Korean labor market is the growth of the share of temporary and daily workers. Yet, it is still not clear exactly how the phenomenon should be interpreted. In order to look into the phenomenon, the paper introduces various definitions of employment status based upon multi-dimensional classification criteria and estimates their sizes using the EAPS Supplemental Survey of August 2000 by the National Statistical Office of Korea. According to the data set, the share of temporary employment by the OECD standards is 17.6% which is higher than most European countries but not far away from them unlike some popular claims. Further, it is shown that the high proportion of temporary and daily workers among the employees, currently above 50%, is possibly due not only to the increased employment instability but also to the widened differentiation among workers in terms of fringe benefits such as the retirement pay and social insurances.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.58-71
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• 2019

The purpose of this study is to explore the multi-dimensionality and the differences of the career success that is revealed by the employee's perception. In order to fulfill the research purpose, LDA topic modeling has applied to extract latent topics of career success from 126 Korean employees' open-end survey questionnaires. The extracted latent topics are social recognition, continuing service within an organization, expertise, financial rewards, and pursuing personal meaning. The occurrence probability of each topic was different by individual characteristics such as gender, education, position. Study findings showed there is multi-dimensionality in career success, and there are differences of topic occurrence probability by demographic characteristics. Additionally, this study showed how to apply the recently developed machine learning approach in order to reduce the researcher's bias by adapting the LDA topic modeling to the qualitative open-ended survey data.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.614-627
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• 2022

The purpose of this study was to explore the various data and methods employed by HR analytics studies. The researchers selected 78 KCI-indexed empirical articles on HR analytics and categorized them using the Employee Life Cycle framework. This yielded several important findings. First, employee retention has been the most common subject of extant studies, followed by performance management. Second, HR analytics studies have used a variety of data (structured and unstructured) according to their research questions, and the data sources have ranged from organizations' internal systems to national databases. Third, most domestic HR analytics studies have been descriptive and diagnostic, whereas predictive and prescriptive studies have been rare. These results have important theoretical and practical implications for future HR analytics research.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.113-122
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• 2007

In shipbuilding industry, musculoskeletal disorders increase rapidly since 2001. Musculoskeletal disorders was occurred the number of 735 in 2003 and the number of 479 on the whole in 2002 and is increased. About this, it is in progress actively that a lot of research services for problem grasping and technology seminar for prevention of musculoskeletal disorders of shipbuilding industry with KOSHIPA (The Korea Shipbuilding Association) in the center in 2002. But, it is actuality that the research is in many difficulties by absence of basic data in shipbuilding industry that most un-standardization work forms. Therefore, this study analyzed present condition of musculoskeletal disorders to shipbuilding industry that most un-standardization work forms. Also, we analyzed on the subject of the Centering-work that appearance extremely much musculoskeletal disorders.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.151-163
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• 2020

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.