• Korean Journal of Social Welfare
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• v.60 no.1
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• pp.53-76
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• 2008

The aim of this study is to understand the ethical struggles of Child Protective Service(CPS) social workers and to indicate some implications for future studies by conducting research focusing on their ethical dilemmas and decision-making. This study used qualitative methods, in particular the phenomenological approach and 14 in-depth semi-structured interviews with CPS social workers, and were conducted and analyzed using the procedures of Colaizzi(1978). This study looks at the following research questions: 1) What kind of ethical dilemmas do CPS social workers encounter? This means what ethical dilemmas do they directly or indirectly encounter because of policy or system inadequacies and huge caseloads. 2) How do the CPS social workers make decisions when they are faced with ethical dilemmas? Making the best decisions with all of their responsibilities and burdens is the focus of this question. This study suggests the following discussions: First, efforts to emphasize 'ethics' at CPS are needed. Second, proper policies and systems based on the Korean situation are needed so that CPS social workers won't have to face 'needless' ethical dilemmas. Third, an index of ethical problems or ethical codes is necessary because principles are important to those social workers who face ethical dilemmas. Fourth, an ethical committee that protects the CPS social workers by supporting their decisions and being responsible for them is needed. Last, a debriefing system that reduces a CPS social worker's psychological trauma caused by ethical dilemmas should be available.

• Korean Journal of Social Welfare Studies
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• v.44 no.2
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• pp.387-407
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• 2013

The aim of the present study was to determine whether secondary traumatic stress and burnout of CPS workers in Korea differ, being significantly affected by different variables of each own. A two-way MANCOVA was conducted to determine the effect of trauma exposure and work-condition satisfaction on secondary traumatic stress(intrusion and avoidance) and burnout(emotional deprivation, depersonalization, personal achievement) while controlling for gender, age, and personal trauma history. Exposure to clients' traumatic material did not affect secondary traumatic stress and burnout either. Rather, it was found that both of secondary traumatic stress and burnout was significantly affected by the same independent variables(level of exposure to being threatened by violent abusers of victims and the level of workers' satisfaction of work conditions in workplace). Therefore, it was difficult to address that secondary traumatic stress and burnout have a completely different construct.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.41-49
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• 2015

Industrial safety is one of the crucial agenda for Government as well as Manufacturing Industry. To cope with the needs, a great deal of policies and technical implementation have been proposed and implemented. With a great increasing attention on the Industry 4.0 and Smart Factory, industrial safety has received as a crucial agenda by the manufacturing industry in particular. Up until now, almost all of them have been made from the environmental aspects, rather than operator or workers. In this paper, we present our research results how to increase the workers' safety via smart factory technology, such as IoT and CPS. Our approach has been to see the problem from SE perspectives, to draw the real issues from the various stakeholders, and define how to solve the problem based on the emerging technologies. The developed systems can give conceptual framework for the 'smart' industrial safety system by providing solution architecture for how to monitor the location of workers, and moving equipments, and generate solutions how to avoid safety problems between them if detected.

• Journal of Labour Economics
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• v.29 no.3
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• pp.1-23
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• 2006

This study investigates the effects of inward foreign direct investment on local workers' wages by focusing on U.S. manufacturing industries for the period from 1987 to 1992. Contrary to public perception that foreign ownership is positively associated with higher wages, previous studies show mixed results. Since most of the previous studies used industry or firm level average wages, they can not control for the impact of individual characteristics on wages. I use two different approaches to control individual characteristics and to implement estimation in this study: (1) One-step estimation with industry-state level of inward foreign direct investments by using individual level data, and (2) Two-step industry characteristic regression approach. The higher presence of foreign firms is associated with higher local wages after workers' observable characteristics are controlled for in the first approach. This effect, however, disappears once workers' industry affiliations and regions are controlled for in cross-section analysis. In a panel data analysis, I did not find any statistically significant positive association between inward FDI activities and industry wage premiums within industry. Further, inward FDI activities appeared to be negatively associated with worker's industry wage premium for workers with more than high school education.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.