• Korean journal of food and cookery science
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• v.27 no.3
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• pp.71-79
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• 2011

The purpose of this study was to understand effects of culinary staff's technology kitchen system upon perceived ease of use, usefulness, attitude, and job performance in the foodservice industry. Based on a total of 387 samples obtained from empirical research, this study reviewed the reliability and fitness of the research model and verified a total of four hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously using a structural equation model (SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=226.501 (df=85), p<.001, CMIN/df 2.665, RMR .066, GFI .927, NFI .926, IFI .952, TLI .941, CFI .952. The results show that culinary staff's perceived ease of use(${\beta}$=.534) had a significant positive effect on perceived usefulness. Also, perceived ease of use (${\beta}$=.350) and perceived usefulness (${\beta}$=.297) had a positive significant effect on attitude. Further, attitude (${\beta}$=1.647) had a significant positive effect on job performance. Limitations and future research directions are also discussed.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.137-161
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• 1997

This study purports to investigate the determinants of propensity to stay among nursing staff working at Korean hospitals. The independent variables contains three groups of determinants: environmental variables(job opportunity, spouse support, and parent support), psychological variables(met expectations, work involvement, positive affectivity, and negative affectivity), and structural variables(job autonomy, work unit control. routinization, supervisor support, coworker support, role ambiguity, role conflict, workload, resource inadequacy, distributive justice, promotional chances. job security, job hazards, and pay). The sample used in this study consisted of 329 nurses and 175 nurse aides from two university hospitals in Seoul and its surburbs. Data were collected with self-administered questionnaires and analyzed using path analysis. The results of this study indicate that: (1) the following variables, listed in order of size, have significant positive effects on propensity to stay among hospital nursing staff: job satisfaction, met expectations, supervisor support, job security, and positive affectivity, (2) the following variables, listed in order of size, have significant negative total effects on propensity to stay among hospital nursing staff: job opportunity, negative affectivity, and rutinization, (3) the model explains 44.2 percent of the variance in propensity to stay among nursing staff working at two university hospitals, and (4) managerial support for improving the job autonomy, distributive justice, and promotional opportunity for nurse aides are needed.

• IE interfaces
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• v.18 no.3
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• pp.317-326
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• 2005

Staff scheduling is an important area, both from an academic and industrial point of view. It has become increasingly important as business becomes more service oriented and cost conscious in a global environment. There has been a lot of study to develop new and efficient staff scheduling models and methods. The purpose of this paper is not to develop new theoretical results but to develop a comprehensive user-friendly staffing model that can be applied to the real-world practice. The developed staffing software, OptStaff, provides the optimal configuration of the customer support center including the selection of customer support center locations, the allocation of staffs to each selected location, and schedules of staffs, so as to minimize the total cost while maximizing the customer satisfaction level. OptStaff also has capability to do scenario analysis by varying the levels of parameters and to create a variety of graphs and reports with user-friendly interfaces.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.349-359
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• 2001

This study was attempted to provide the basic data concerning development of stress management program for hospital nurses, and to focused on the analysis of job stress and social support according to the types of behavior pattern. The subjects were 296 staff nurses at a general hospital in Seoul. Data were collected with self-reported questionnaires and analyzed by SPSS-PC+ 8.0 win for descriptive analysis and ANOVA analysis. The results of this study indicated that; 1) The perceived job stress was negatively correlated with social support and was positively correlated with TABP. 2) The score of the perceived job stress was higher in TABP nurses than TBBP. The TABP nurses usually perceived more support from peers than from supervisors These results showed that the staff nurses who supported from supervisor felt less stress, and the score of the perceived job stress was higher in TABP nurses than in TBBP. So the differences in social support and job stress according to the types of behavior pattern must be considered significantly in development of the staff nurses' stress management program. Also it was needed to develop the strategies that TABP nurses was effectively supported by the supervisor.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.166-175
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• 2012

Purpose: This study was done to identify the relationship between transformational leadership by head nurses and positive psychological capital, psychological well-being, stress and somatization of staff nurses. Method: Participants in this study were 300 staff nurses in general hospitals located in G and B cities. Data were collected using self-administered questionnaires and analyzed using SPSS Win 18.0 program. Result: The major findings were as follows; 1) There were positive influences of transformational leadership on positive psychological capital, psychological well-being, and a negative effect on stress. 2) Positive psychological capital had a positive influence on psychological well-being, and negative effects on stress and somatization. 3) In the analysis of the mediating role of the positive psychological capital, transformational leadership was shown to indirectly affect psychological well-being and stress through positive psychological capital. Conclusions: These findings suggest that transformational leadership has important influences on employees' psychological well-being and stress via employees' positive psychological capital. To enhance psychological well-being and reduce stress for nurses, it is important to develop not only the leadership of head nurses but also the positive psychological capital of staff nurses.

• Journal of the Korean housing association
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• v.21 no.4
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• pp.111-120
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• 2010

This study examines the effectiveness of a new community facility operation and management system that were implemented by one of the major construction companies. This system was an unprecedented approach in a sense that it provided not only necessary facilities but also a specialized management staff, an operational manual, and a subsidy for various programs. According to POE conducted among the residents, it can be concluded that the residents' satisfaction will be increased under the following conditions; 1) when a program manual associated with the community facility is provided, 2) when there is a professional staff who can coordinate various programs effectively, 3) when the facilities are well designed in accordance with the program requirements, 4) when the users adhere to regulations and management standards, 5) when all three components- i.e. facility, people and programs- are well coordinated, and 6) when affordable user fees are charged. This research assures that professional management staff and well-planned management system play a significant role in the enhancement of the residents' satisfaction as well as vitalizations of the community.

• Korean Journal of Occupational Health Nursing
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• v.22 no.4
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• pp.275-284
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• 2013

Purpose: This study analyzed the characteristics of occupational injuries and illnesses of the nursing staff to reveal the prevalence of the major diseases and the predominant causes of the injuries in the nursing environment. Methods: Total 3,455 work-related compensation cases of nursing staff from January 1 2000 to December 31 2012, were selected. The specific types of the diseases, injuries, causes and the time of the incidence were analyzed. Results: Majority of the compensated cases were young women under 30 years old. The composition of the occupational injuries and illness was 74.5% and 25.5%, respectively. Occupational infection was the major part of the occupational illnesses (47.3%), and 74% of them were tuberculosis. Musculoskeletal disorder (12.6%) was followed the infectious disease, and 36.4% of them occurred while moving the patients. Slipping was the most frequent injury; most of them resulted in the lower extremities injury. Most of the injuries increased during shift change, except workplace violence, which increased later than 19:00. Conclusion: Occupational injuries and illnesses of nursing staff need the specific prevention strategy, and the prevention strategy should be suitable for the nursing workplace.

• Journal of Korean Clinical Nursing Research
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• v.26 no.1
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• pp.75-85
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• 2020

Purpose: The purpose of this study is to develop a nursing salary guideline for Korean hospitals. Methods: Literature review and a mobile survey were conducted regarding staff nurses' salary. Regression analysis and simulation model were applied to develop the nurses' salary guideline. Results: The United Kingdom, Australia, and Germany have standard salary guidelines which demonstrated the standard salary of nurses. These were determined mainly by nursing experience and expertise. The results of the mobile survey indicated that the maximum to minimum ratio of the salary was as high as 4.5 among staff nurses working in Korean hospitals. Two models (exponential and linear) for a standard nursing salary guideline were developed and the simulation results demonstrated an improved salary structure for staff nurses. Conclusion: This developed salary guideline for staff nurses is recommended to be applied in Korean hospitals which provide total nursing care services.

• Journal of KIBIM
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• v.11 no.3
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• pp.1-11
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• 2021

BIM is one of the means of reducing the economic loss caused by design errors. These features of BIM have led to increased use of BIM. With the increasing use of BIM, several studies have been conducted to analyze the performance of BIM. As the importance of BIM staff is emphasized in the performance analysis of BIM, the human resource allocation of BIM staff can become an important research issue. However, there are few studies to measure the workforce effectiveness of BIM staff. Ham et al (2020) measured BIM workforce efficiency using FCFS queue model rules. Since design errors can have different effects on the project depending on the type, there are design errors that must be dealt with first. Therefore, in this study, a priority queue was used to solve design errors with high priority first. The performance of BIM-based design verification was analyzed by quantitatively analyzing the performance of BIM staff when the priority rule was applied to the design error processing sequence.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.132-138
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• 2020

Worldwide, the number of corona virus disease 2019 (COVID-19) confirmed cases is rapidly increasing. Although vaccines and treatments for COVID-19 are being developed, the disease is unlikely to disappear completely. By attaching a smart sensor to the respirator worn by medical staff, Internet of Things (IoT) technology and artificial intelligence (AI) technology can be used to automatically detect the medical staff's infection symptoms. In the case of medical staff showing symptoms of the disease, appropriate medical treatment can be provided to protect the staff from the greater risk. In this study, we design and develop a system that detects cough, a typical symptom of respiratory infectious diseases, by applying IoT technology and artificial technology to respiratory protection. Because the cough sound is distorted within the respirator, it is difficult to guarantee accuracy in the AI model learned from the general cough sound. Therefore, coughing and non-coughing sounds were recorded using a sensor attached to a respirator, and AI models were trained and performance evaluated with this data. Mel-spectrogram conversion method was used to efficiently classify sound data, and the developed cough recognition system had a sensitivity of 95.12% and a specificity of 100%, and an overall accuracy of 97.94%.