• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.548-553
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• 2016

This study analyzed the effect of the operation system of human resource management. First, the primary operating direction of the goal, talent selection system, and personnel management personnel management affected almost all the performance variables. More than one primary goal of personnel management in the loyalty inspired workers more than the fixed labor costs, and external recruitment of short-term hiring favored internal training scheme for long-term employment, employee training, and development in the long term more than short-term performance improvement the more weight to quality and innovation in the productivity of labor, product and services, employee-driven innovation, reduce turnover, had a positive impact on labor relations. On the other hand, the primary goal of personnel management and personnel selection methods had a positive impact on financial performance. Personnel management operating direction did not significantly affect the financial results. Second, the main type of employee utilization affected the quality of products and services, and labor relations. Trying to take advantage of temporary workers more than regular workers had a positive impact on the quality of products and services, and labor relations. Third, the operating unit of Personnel Management had an impact on the degree of innovation of products and services. Both personal achievements and the performance of the operating units had a positive impact on the degree of innovation of products and services, more than teamwork and personnel management. This study provided practical implications for verifying the effect of detailed characteristics of human resource management on financial/non-financial business performance.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.402-409
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• 2007

Markov Chains has proven to be effective in predicting human behaviors in the areas of web site assess, multimedia educational system, and driving environment. In order to extend an application area of predicting human behaviors using Markov Chains, this study was conducted to investigate whether Markov Chains could be used to predict human behavior in selecting mobile phone menu item. Compared to the aforementioned application areas, this study has different aspects in using Markov Chains : m-order 1-step Markov Model and the concept of Power Law of Learning. The results showed that human behaviors in predicting mobile phone menu selection were well fitted into with m-order 1-step Markov Model and Power Law of Learning in allocating history path vector weights. In other words, prediction of mobile phone menu selection with Markov Chains was capable of user's actual menu selection.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.4
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• pp.117-134
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• 2004

This study suggests a data driven optimization approach, which simulates the models of human learning processes from cognitive sciences. It shows how the human learning processes can be simulated and applied to solving combinatorial optimization problems. The main advantage of using this method is in applying it into problems, which are very difficult to simulate. 'Undecidable' problems are considered as best possible application areas for this suggested approach. The concept of an 'undecidable' problem is redefined. The learning models in human learning and decision-making related to combinatorial optimization in cognitive and neural sciences are designed, simulated, and implemented to solve an optimization problem. We call this approach 'SLO : simulated learning for optimization.' Two different versions of SLO have been designed: SLO with position & link matrix, and SLO with decomposition algorithm. The methods are tested for traveling salespersons problems to show how these approaches derive new solution empirically. The tests show that simulated learning for optimization produces new solutions with better performance empirically. Its performance, compared to other hill-climbing type methods, is relatively good.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.357-363
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• 1994

In many industrial situations the human acts as the primary scheduler since there often exist various constraints and considerations that may not be mathematically or quantitatively defined. For proper design of interactive scheduling systems, how human strategy and performance are affected by the fashion of human-computer interaction at various levels of task complexity should be investigated. In this study, two scheduling experiments were conducted. The first one showed that human schedulers could perform better than simple heuristic rules with each of typical performance measures such as average machine utilization, average tardiness, and maximum tardiness. In experiment 2, the effect of providing computer-generated initial solution was investigated. The results was that in complex problems the subjects performed significantly better when the initial solutions were generated by themselves, evidencing the importance of the continuity of strategic search through the problem.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.140-150
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• 1990

Further developments on a dynamic biomechanical model are presented to assess musculoskeletal stresses and human responses. The model being developed is an extension of the Articulated Total Body (ATB) Model, originally developed by Calsapan Corp. for the study of human dynamics during automobile crashes, later adopted to the U.S.Air Force to simulate the reactions of aircrew personnel to such forces typically encountered in various phases of flight operations. Further refinements were introduced by Freivalds and Kaleps(1984) to account for a human neuromusculature. In this study, modelling of active neuromusculature was described and simulations of whole-body human motion were performed using the ATB Model. It indicated the potential of using a muscularized biomechanical model coupled with CAD capabilities to simulate human responses in a variety of industrial settings as well. This will serve as a basis of incorporating computer aided design methods into a muscularized biomechanical models.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.1-10
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• 2020

Safety can be defined as being maintained or reduced to a level below which the possibility of human or physical harm can be tolerated through continuous identification of risks and safety risk management. FAA, EASA, IATA and Boeing, major organizations that conduct research and analysis for aviation safety around the world, report that about 70 percent of aviation accidents are caused by human factors, which have led to a surge in interest in human factors-induced accident prevention activities around the world. As part of this purpose, the FAA in the U.S. is raising awareness among aviation workers by publicizing the 12 human errors (Boeing, 2016), which account for the largest part of aviation accidents under the theme of Dirty Dozen, to prevent aviation accidents. Therefore, based on the domestic helicopter accidents reported to the Air Railroad Accident Investigation Committee from 2007 until recently, this study aims to use HFACS to extract human factors for the six recent helicopter accidents in Korea, analyze the extracted human factors in conjunction with the Dirty Dozen concept, and then present measures to prevent accidents by item.

• Journal of Family Resource Management and Policy Review
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• v.12 no.2
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• pp.73-93
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• 2008

The purpose of this study was to analyze the effects of workers' human resource development and their recognition of human resource on-the-job satisfaction. A sample of 4,727 workers that was selected from Korea Labor Panel Data was analyzed by t-test and multiple regression, and was tested by causal effects among related variables. The major findings were as follows: First, the workers' recognition of their job performance level vs. educational attainment was affected by their annual income, job status, educational attainment, gender, and experiences of human resource development. Second, the workers' job satisfaction was affected by gender, age, educational attainment, health status, job status, annual income, experiences of human resource development, recognition of their job performance level vs. educational attainment, and recognition for their job availability. Third, the factors that had a causal effect on workers' job satisfaction were educational attainment, gender, age, health status, annual income, and experiences of human resource development. Above all, workers' educational attainment had a strong direct effect on job satisfaction, and annual income had a strong indirect effect on it. From these findings, it can be concluded that workers' effort and trial for development and investment of human resource played an important role in increasing job satisfaction.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.209-225
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• 2008

The purpose of this study is to examine the relationship between IT human capability and knowledge transfer and the role of absorptive capacity between them. From the test of both measurement and structural model using Partial Least Squares (PLS), IT human capability is found to be significant to absorptive capacity and knowledge transfer. Absorptive capacity is also significantly related to knowledge transfer. The interesting result found in this study is that the path of absorptive capacity drawn from IT human capability to knowledge transfer is stronger than the direct relationship between IT human capability and knowledge transfer, indicating that absorptive capacity plays an important role in knowledge transfer. This result indicates that IT personnel with stronger technical skill, interpersonal skill and management capability are more likely to acquire and learn knowledge effectively from outside expertise. Moreover, this study shows that absorptive capacity, the individual’s ability to utilize external knowledge is derived from IT human capability and strongly effects on transferring knowledge from outsourcing vendors. This study suggests IT related managers that the development of IT human capability and absorptive capacity should be recognized for a successful exploitation of outside knowledge within a firm. It is also a necessary condition for a successful IT implementation and maintenance independently and economically from outside vendors.

• Toxicological Research
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• v.26 no.4
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• pp.301-313
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• 2010

Growth promoters including hormonal substances and antibiotics are used legally and illegally in food producing animals for the growth promotion of livestock animals. Hormonal substances still under debate in terms of their human health impacts are estradiol-$17\beta$, progesterone, testosterone, zeranol, trenbolone, and melengestrol acetate (MGA). Many of the risk assessment results of natural steroid hormones have presented negligible impacts when they are used under good veterinary practices. For synthetic hormonelike substances, ADIs and MRLs have been established for food safety along with the approval of animal treatment. Small amounts of antibiotics added to feedstuff present growth promotion effects via the prevention of infectious diseases at doses lower than therapeutic dose. The induction of antimicrobial resistant bacteria and the disruption of normal human intestinal flora are major concerns in terms of human health impact. Regulatory guidance such as ADIs and MRLs fully reflect the impact on human gastrointestinal microflora. However, before deciding on any risk management options, risk assessments of antimicrobial resistance require large-scale evidence regarding the relationship between antimicrobial use in food-producing animals and the occurrence of antimicrobial resistance in human pathogens. In this article, the risk profiles of hormonal and antibacterial growth promoters are provided based on recent toxicity and human exposure information, and recommendations for risk management to prevent human health impacts by the use of growth promoters are also presented.

• Journal of Korean Society for Quality Management
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• v.32 no.1
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• pp.130-143
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• 2004

Although consumer needs for better products force manufactures to put emphasis on design, often development of a product has been done without the formal process to consider consumer needs. In order to identify the implicit needs of customers and the areas of potential demand on a product, several analysis scheme such as QFD (Quality Function Deployment) has been developed. QFD, also known as the House of Quality, is the efficient tool ever created to tie product and service design decisions directly to customer wants and needs, i.e. VoC (Voice of Customer) To utilize this tool on a product design, first of all, the consumers attributes and the engineering characteristics must be exactly investigated. However there were only few studies about them on shoe design. Hence in this paper we developed an innovative framework for shoes design based on QFD. As a result, we uncovered 29 dominant human satisfaction dimensions as the consumers attributes for customer-oriented quality evaluation of a comfortable shoes. Here, 29 human satisfaction dimensions for a shoe design were identified as the dimensions that represent the human sensitivity and psychological feeling on comfortable shoes. Also, we proposed 60 human interface elements as the engineering characteristics. The relationships between human satisfaction dimensions and human interface elements were investigated. This study will help the designers and manufacturers clarify the conceptual and abstract aspect of the design evaluation by proposing a more systematic and process-oriented method.