• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.4
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• pp.161-169
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• 2017

The Human Factors Analysis and Classification System (HFACS) is a general human error framework originally developed and tested within the U.S. military as a tool for investigating and analyzing the human causes of aviation accidents. Based upon Reason's (1990) model of latent and active failures, HFACS addresses human error at all levels of the system, including the condition of aircrew and organizational factors. As a result, this study aims to examine the influence between the latent conditions based on HFACS. This study seeks to verify the factors of "Organizational Influence" effecting the "Precondition for Unsafe Acts" of HFACS. The results of empirical analysis demonstrated that the organizational influence had a positive influence on precondition for unsafe act, especially the "Organizational Climate" of organizational influence had even greater influence on precondition for unsafe acts.

• Safety and Health at Work
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• v.7 no.3
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• pp.194-200
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• 2016

Background: The influence of sociocultural factors on human reliability within an open sociotechnical systems is highlighted. The design of such systems is enhanced by experience feedback. Methods: The study was focused on a survey related to the observation of working cases, and by processing of incident/accident statistics and semistructured interviews in the qualitative part. In order to consolidate the study approach, we considered a schedule for the purpose of standard statistical measurements. We tried to be unbiased by supporting an exhaustive list of all worker categories including age, sex, educational level, prescribed task, accountability level, etc. The survey was reinforced by a schedule distributed to 300 workers belonging to two oil companies. This schedule comprises 30 items related to six main factors that influence human reliability. Results: Qualitative observations and schedule data processing had shown that the sociocultural factors can negatively and positively influence operator behaviors. Conclusion: The explored sociocultural factors influence the human reliability both in qualitative and quantitative manners. The proposed model shows how reliability can be enhanced by some measures such as experience feedback based on, for example, safety improvements, training, and information. With that is added the continuous systems improvements to improve sociocultural reality and to reduce negative behaviors.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.151-160
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• 2017

IIn this paper, I investigate the effect of special education teachers' self-leadership on job-satisfaction. The data was collected from 141 special education teachers to analyze the correlations between self-leadership, job and life satisfaction. In addition, another purpose is to analyze how self-leadership influence on job satisfaction (human relationship, assigned tasks) and life satisfaction. The results are shown as follows. First, self-expectation and goal setting, self-expectation and human relationship, human relationship and assigned tasks have meaningful correlation. Second, self-expectation and self-rewarding are sub-factors of self-leadership that have great influence on human relationship which is a subordinate factor of job satisfaction and assigned tasks. Third, self-expectation and self-rewarding are factors of self-leadership that have a great influence on life satisfaction. Finally, it shows that self-leadership has an effect on life satisfaction through assigned task, which is a factor of job satisfaction. However, through human relationship, self-leadership does not have a meaningful effect on life satisfaction. This study is significant by finding sub-factors which influence special education teacher's self leadership, job satisfaction and life satisfaction by using Bootstrap method.

• The Research Journal of the Costume Culture
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• v.27 no.5
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• pp.479-495
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• 2019

This study defines Korean wave stars as Korean wave human brands and examines the influence of the characteristics, attachment, and self-congruity of the Korean wave human brand on brand equity. For this, this study surveyed Chinese female consumers in their 20s and 30s who consume many Korean wave products from May 2018 to June 2018. First, human brand characteristics, attachment, self-congruity, Korean wave aspiration level, and brand equity according to demographic characteristics were identified. Second, characteristics, attachment, self-congruity, and the aspiration level of the Korean wave human brand showed correlations with brand equity. However, brand awareness, a sub-factor of brand equity, does not show correlations with self-congruity. Third, characteristics, attachment, self-congruity, and Korean wave aspiration level had a positively influenced brand equity. Fourth, when looking into the mediated effect of attachment on brand equity, both human brand characteristics and self-congruity showed a partially mediated effect. Fifth, when analyzing the adjustment effect in the Korean wave aspiration level, a group with higher Korean wave aspiration level showed more correlations with attachment and brand equity. This study found that attachment and self congruity are important elements in forming human brand and brand equity. This study is significant in that it verified the influence of Korean wave brand power that has been on the rise recently on brand equity and provided a theoretical basis that has allowed researchers to determine that the characteristics, attachment, and self-congruity of Korean wave human brand significantly influence brand equity.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.13 no.1
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• pp.10-18
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• 2009

Objectives : To review to determine difference in the effect of age, gender, location of electrode, test meal and period of recording that influence Electrogastrography (EGG) parameters and to study its oriental medical application. Methods : We investigate the research results through internet search engines, Pub Med, Karger, Mary Ann Libert and Pro Quest. Results : Age and gender influence postprandial Dominant Frequency Instability Coefficient (DFIC). Body mass index (BMI) influence fasting and postprandial EGG parameters. Menstrual cycle phase influence fasting Dominant Frequency (DF). Test meal volume and composition influence postprandial EGG parameters. But reduced-calorie test meal have no effect on EGG parameters. Conclusions : Because the amplitude of surface-recorded SW(slow wave) is very weak, EGG is influenced by many factors. Age, gender, BMI, menstrual cycle phase, test meal volume and test meal composition influence EGG parameters. but reduced-calorie test meal have no effect on EGG parameters.

• Journal of the Korean Society of Safety
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• v.13 no.1
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• pp.112-118
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• 1998

Human errors performed during the operations have a dominant portion of the accidents. But the systematic human error evaluation methodology universally accepted is not developed yet. One of the difficulties in performing human reliability analysis is to evaluate the performance shaping factors which represent the characteristics and the circumstances in the discriminate manner. For assessing a specific human action more exactly, it is necessary to consider all of the PSFs at the same time which make an effect on the human action. In this paper, dynamic influence diagrams are introduced to model simultaneously their effects on the specific human action. And the human actions and their subsequent PSFs are categorized and classified as the complementary works. A new human error evaluation methodology using influence diagrams is developed. This methodology involves the categorization of PSFs and the PSFs quantification. The applied analysis results for the example task are shown for representative purposes. It is shown that this approach is very flexible in that it can be applied to any kind of actions.

• Journal of Families and Better Life
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• v.18 no.2
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• pp.109-123
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• 2000

The purpose of this study is to investigate decision making styles task management of urban homemakers. This study focuses on the following aspects: 1) to find out which variables of background variables (ie. age of couple, education of couple, duration of marriage, income, family life cycle, number of children) have effect on decision making styles & task management of urban homemakers. 2) to find out the relationships between decision making styles and task management of urban homemakers. 3) to find out independent influcene of background variables on task management. major findings are as follows; First, it is general tendency that decision making styles were human oriented in urban homemakers. Importance & Urgency of the task, age of homemakers, education of homemakers, family life cycle were significant variables to have influcence on task oriented decision making styles. Importance & urgency of task were variables to have influences on human oriented decision making styl s. Second, the tendency of dealing with task at once is the highest in the task management, on the other hand, the tendency of dealing with task in the next session is the lowest. Income is a variable to influence on dealing with task in delegation to others, education of homemaker is a variable to influence on dealing with task in next session and importance & urgency of the task and the number of children were variables to influence on dealing with task immediately. Third, human oriented decision marking style was a variable to influence on dealing with task in delegation with task in delegation to others, in the next session, and in suspending/ in neglecting. Task oriented decision making style was a variable to influence on dealing with task immediately. Fourth, The urgency of task & income were variables to have direct influence on dealing with task in delegation with task in next session, and the urgency of the task, age & education of homemaker and family life cycle were varia les to direct influence on dealing with the task immediately. The urgency & importance of the task and age of homemaker were variables to have indirect on dealing with the task urgency of task & the number of children were variables to have indirect influence on dealing with the task in suspending/in neglecting through the medium of the human oriented decision making styles.

• Journal of Distribution Science
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• v.13 no.6
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• pp.71-78
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• 2015

Purpose - This study attempts to analyze whether or not there are characteristics among the top management of companies that promote corporate performance at venture companies. It investigates the characteristics of the human and social capital that are inherent in top management at a venture company and conducts an empirical analysis of hypotheses examining if these characteristics will affect utilization of the governmental R&D support system as well as affect the firm's initial success. Research design, data, and methodology - This study conducted theoretical and empirical research together to accomplish the goal of the study. The pilot study researched human capital and social capital as the independent variables; the governmental R&D support system as the parameter; and, the initial success as the dependent variable. The empirical study carried out research on the model, establishment of hypotheses, and the statistical treatment. A survey was conducted targeting top management of high-tech venture companies in Daedeok Innopolis; 500 questionnaires were distributed; and, 222 were collected. Results - The human and social capital inherent in top management at venture companies in the early stages of their existence become good evaluation data for those who are invested in similar resources. If top management includes strong human and social capital, access to external resources will be easier; these will have a positive influence on the selection of overnmental support systems; and, this proper support will also have a positive influence on the initial success of the venture company. The results revealed the following. First, it was found that when the educational level and functional background, (the top management human capital), are the output function, top management human capital had a significant influence on selection of governmental R&D support funds. Second, it was found that the internal social capital and external social capital, (the top management social capital), had a significant influence on selection of governmental R&D support tasks. Third, it was found that selection of the governmental R&D support tasks at the start of the venture company had a positive influence on the corporate financial performance such as sales, business profits, and the increase in workers; and, had a significant influence on nonfinancial performance such as market share, competitive position, product competitiveness, and the future product development. Conclusions - Selection of the governmental R&D support system is not recognized as part of the direct sales of a venture company in its early stages, but as it can reduce costs for technical development and helps significantly in creating test products and mass production, it has a positive influence on the company's financial performance and nonfinancial performance as a result. Therefore, companies should take great efforts to frequently be selected as a candidate in the governmental R&D support system, as it can help facilitate R&D that requires extensive funds. As a result, companies can expect effects such as job creation and patent applications and they can advance future product sales.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.201-210
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• 2011

Each area of society has changed because of the development of information technology. Especially, the advent of NCW based on the technology of network has become a new paradigm for executing warfare. Effectiveness of NCW can be maximized by building the C4I system which is a core system of NCW. However, if we don't consider the influence in term of human dimension, we can't expect the effect of C4I system, since the key factor in C4I is human. In this paper, we propose an algorithm for evaluating Combat Power Effectiveness by considering the Influence of Human Factors that wasn't reflected in the past. Based on experimental validation our algorithm is more substantial than baseline algorithms. In addition, we proved that the Influence of Human Factors(e.g. collaboration) is the most important in battlefield. Therefore, proposed algorithm can be used for enhancing not only mission effectiveness in terms of military field but also work performance by effective Human Resource Management in terms of an enterprise.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.31 no.11
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• pp.936-941
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• 2007

This paper is on the influence of gas explosion caused by Vapor Cloud Explosion(VCE). Also, it is to understand the influence of the booth for explosion experiment which is installed to let the trainees for legal education which is managed by IGTT(Institute or Gas Technology Training) know the riskiness of explosion. In this study, the influence of explosion shock wave caused by VCE in enclosure was calculated by using the Hopkinson's scaling law and the accident damage was estimated by applying the influence on the adjacent human into the probit model. As a result of the damage estimation conducted by using the probit model, both the damage possibility of explosion overpressure to human 8 meters away and that of shock wave to hurt 15 meters away showed nothing.