• Proceedings of the Korean Society for Quality Management Conference
• /
• 1998.11a
• /
• pp.495-507
• /
• 1998

For the product development using Human Sensibility Ergonomics, it is very important to understand human preference and sensibility of products. Human sensibility is affected by each person's psychological factor and is different for individuals. This paper analyzed consumer's automobile purchase patterns, according to the types and the features of face, using the psychological concept that human the types and the features of face have been used to understand human personalities. In this paper, it is showed that there are some differences among customer's automobile purchase patterns, according to the types and the features of face If further study has been done in this field, this study could be applicated in Human Sensibility Ergonomics, Marketing, etc.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.7
• /
• pp.57-67
• /
• 2013

This study suggests for effective operation of systematic analysis method for human factors which is based on the requirement architecture framework a requirement process to manage requirements for improvement is discussed, such as in requirements generation, database construction, management of experimental design, and management of the design traceability. For the objectives, we analyzed the method construct of the starting point views of user requirement which is adopted the requirement architecture concept to cover the whole activities required to do and the human factors guidelines and standards are suggested for verification and validation of the develop requirements. It is getting more attention as the operation of the enabling systems goes up these days. Throughout the propose of this study, human factors requirement database design presented in operational environment system for enabling system which is based on case study using a computer aided se tool. This study will be contributed to how the operational requirement database for the enabling system and operational human factors can be constructed in an integrated system design fashion.

• Korea Journal of Hospital Management
• /
• v.7 no.3
• /
• pp.102-120
• /
• 2002

The purpose of study is to understand human-technology integration mechanism by using the study model that takes the core concept and motivation assumptions of technology acceptance model(TAM) into account. This study identifies three motivation mechanisms in adopting or using computer mediated communication(CMC) tool for work. The mechanism comprises with extrinsic, extrinsic motivation, and subjective norm pressure. One hospital with 430 beds and 367 human power was identified and we administered the questionnaire during their work hours. There is 32.4% response rate. The fitting index of the study model surpass the acceptable level, GFI = .980 for none-users, GFI =.986 for users, NNFI = .973 for none-users, and NNFI = .989 for users. In the case of none-users, perceived ease of use determines perceived usefulness that explains behavioral intention to use. As a result, adotpers' usage motivation is based on extrinsic motivation that does not consider their affective factor, attitude, in use of CMC. Users considers their attitudes as the mediating factor of all behavioral beliefs for using CMC continually. Thus, users are likely to depend their adoption behaviors on their affective factor. Moreover, users' behavioral intention is subject to pressures of use from other persons who are important to them, such as supervisor, director, or boss. Achieving human-technology integration in a hospital may cause cost saving and work efficiency. However, the success of information system should base on a profound understanding of employees' adoption behaviors in rejecting, adopting, using, continually using of IT, and organization culture in using IT.

• Journal of Korea Port Economic Association
• /
• v.34 no.4
• /
• pp.105-124
• /
• 2018

The purpose of this study is to identify human factors that directly or indirectly cause ship accidents and to suggest implications based on the derived human factors. In particular, we conducted a survey on the basis of the human factors derived from the literature survey and interviews, and applied the revised importance-performance analysis (IPA) to develop implications from a comparison of two groups: seafarers and shipping operations managers. Data were collected from 159 practitioners in the Korean shipping industry. The analysis structure consisted of five major factors with 20 components, including unique factors related to ship and shipping management companies, personal competence, in-vessel organization, and personnel's health, as well as social factors. The result of the IPA analysis indicates that in-vessel organization is the most urgent and major factor for improvement. Some differences exist in the components that should be improved between the two groups. For the seafarer group, an increase in unskilled onboard crew affected sustainable safety activities, thus implying an area of preferential improvement regarding the in-vessel organization factor. However, for the shipping operations managers group, the difference in recognizing safety standards among the crew members on board and the ability to communicate with other crew members should be improved first relative to in-vessel organization factors. The personnel's health factor was identified to be of low importance in both groups. Finally, the importance of improving the safety consciousness level according to the safety education and training implementation for seafarers on board was different for the two groups.

• Korea Journal of Hospital Management
• /
• v.28 no.2
• /
• pp.1-8
• /
• 2023

Purpose: This study was conducted to identify the impact of human rights sensitivity and patient rights awareness of first-year students in clinical practice on clinical practice adaptation and to prepare practical and systematic personality development program education alternatives to foster high-quality medical personnel. Method: As for the research method, an online survey of 155 medical and nursing students from two universities in G-do (76 medical students and 79 nursing students) was conducted, and the collected data were T-test, ANOVA, Scheffe test, Pearson's correlation coefficient and step-by-step multiple regression analysis using SPSS WIN/25.0. Findings: The results of the study are as follows. First, as a result of analyzing the differences in each variable according to general characteristics, human rights sensitivity had a significant impact on gender, patient rights recognition on personality type, and clinical practice adaptation had a significant impact on major selection motivation. Second, the factors affecting the adaptation of first-year college students to clinical practice had a significant impact on extroverted personality and patient rights perception among personality types (regression model results F=6.38 (p<).001), 24.2% explanatory power). Conclusion: This study suggests that education and policy efforts are needed to foster accurate awareness of human rights issues by developing flexible and flexible extracurricular activity programs in the operation of the curriculum to strengthen medical and nursing students' ability to adapt to clinical practice and improve awareness of human rights issues.

• International Journal of Contents
• /
• v.18 no.3
• /
• pp.34-48
• /
• 2022

The purpose of this study was to develop indicators for quality management of educational institutions, and to achieve this, literature analysis and expert interviews were conducted. Through literature analysis, the components of TQM were derived focusing on factors to improve the quality of education, engineering education accreditation standards, and a representative education accreditation system, were considered. Additionally, seven areas as well as 32 indicators required for education quality management, were derived by comparing the EFQM excellence model and the MBNQA education model, applied for quality management of companies and institutions. By comparing and synthesizing these results, a draft was developed for the quality management index of educational institution. Next, opinions on correction and supplementation of quality management indicators derived from literature analysis, were collected from five education experts. From the comparisons and integration of these results, eight criteria (leadership, strategy, customers, people, facilities and environment, curriculum management, curriculum improvement, and performance management) and 34 indicators, were proposed for quality management indicators for educational institutions. Curriculum management, people, and performance management criteria were considered more significantly in quality management of educational institutions, and several implications are suggested based on the study results.

• Journal of Distribution Science
• /
• v.16 no.7
• /
• pp.67-75
• /
• 2018

Purpose - In the 21st century, as information technology advances alongside the emergence of the 4th generation, industrial age, industrial environment has become individualized and customized. It is important to hire good quality employees for good service in the industry. The e-learning market is growing every year. Although e-learning companies are finding better quality employees in e-learning, it is not easy to find it. Companies also spend a lot of time and cost to find employee. On the employees side, they want to get a job freely when they want, but they cannot find their job easily. Furthermore, the labor market environment is changing fast. In the 4th generation, industrial age, employers require to find manpower whenever they need and want at little cost. So of their own accord, we have considered the necessity of management of human resources for employees and employers in e-learning. The purpose of this study is to propose a human cloud platform framework for enabling an efficient management of human resources in e-learning industry. Research design, data, and methodology - To pinpoint the items of a human cloud platform framework, the study was initiated according to the following process. First, items of competency relating to e-learning instructional designer was analyzed. Second, based on the items of information from this analysis, selection and validity verification took place with 5 e-learning specialists group. Third, the opinion of experts who were in charge of hiring in e-learning companies were collated with the questionnaire. Lastly, the human cloud platform framework was proposed based on opinion results. Results - The framework was comprised of 7 domains and 27 items in order to develop the human cloud platform for e-learning instructional designer. The analysis results showed that the most highly considered item were 'skill (4.60)' that employee already have the capability. Following this (in order) were 'project type (4.56)', 'work competency (4.56)', and 'strength area of instructional design (4.52)'. Conclusions - The 27 items in the human cloud platform framework were suggested in this study. Following this, we can consider to develop the human cloud platform for finding a job and hiring e-learning instructional designer easily. For successful platform operation, we need to consider reliability between employer and employee. In addition, we need quality assurance system based on operation has public confidence.

• The Journal of Society for e-Business Studies
• /
• v.17 no.1
• /
• pp.53-74
• /
• 2012

This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.25 no.3
• /
• pp.285-293
• /
• 2015

Objectives: This study was conducted in order to ascertain the important factors for SMEs in managing the risks of chemicals and to suggest a government role in strengthening the responsibility of small and medium enterprises(SMEs) as employers. Methods: About 100 enterprises were surveyed in Incheon. A questionnaire for employers and walk-through surveys by occupational hygienists were performed at each enterprise. Results: The results showed that most employers thought chemicals were not hazardous but chemical management was needed. When employers determine how to manage chemicals, they rely heavily on personal experience and rather less on information from the government or experts. However, if employers think the chemicals are hazardous, they do more to manage the chemicals. Conclusions: When employers think chemicals are hazardous, risk assessment would be an effective tool to control chemical hazards in SMEs. Employers' position on chemical hazards is very important. Since the government is the initiator, it is the government who develops messages for SMEs, such as "Chemicals are hazardous and management can reduce the risk of chemicals." Governmental messages can play an invaluable role in strengthening the responsibility of SME employers to manage chemical hazards.

• Journal of KIISE:Software and Applications
• /
• v.37 no.10
• /
• pp.779-787
• /
• 2010

Since robots have been used widely recently, research about human-robot communication is in process actively. Typically, natural language processing or gesture generation have been applied to human-robot interaction. However, existing methods for communication among robot and human have their limits in performing only static communication, thus the method for more natural and realistic interaction is required. In this paper, an emotional gesture based dialogue management system is proposed for sophisticated human-robot communication. The proposed system performs communication by using the Bayesian networks and pattern matching, and generates emotional gestures of robots in real-time while the user communicates with the robot. Through emotional gestures robot can communicate the user more efficiently also realistically. We used behavior networks as the gesture generation method to deal with dialogue situations which change dynamically. Finally, we designed a usability test to confirm the usefulness of the proposed system by comparing with the existing dialogue system.