• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.2
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• pp.167-175
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• 2020

Purpose: The purpose of this study was to explore the subjective experience of moral distress among nurses working in long-term care hospitals. Methods: A phenomenological approach was used for the study. Data were collected from May to July, 2019 using open-ended questions during in-depth interviews. Participants were nurses working in long-term care hospitals and had reported experiences of moral distress. Nine nurses participated in this study. Results: Three themes emerged from the analysis using Colaizzi's method: (1) confusion and distress about the meaning of care, (2) a feeling of helplessness caused by connivance, (3) enduring in the organization. Conclusion: Sufficient labor supply, environmental improvements, programs for improving interpersonal skills, education and counseling on end-of-life care, and recognition improvement about long-term care hospitals are suggested to reduce the moral distress of long-term care hospital nurses.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.330-354
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• 2021

To know the long-term growth patterns and determinants of successful startups, 15-year (2006-2020) panel data of 252 companies that had a growth rate of over 20% every year in the last three years were used. In the first analysis, statistics on the period required to designate a gazelle company or listed on the stock market were examined. In addition, five long-term growth patterns were presented. In the panel analysis, the R&D intensity, operating profit ratio, size, and age of the company were pointed out as determinants of growth. The operating profit margin and R&D intensity have a positive effect on growth. Gibrat's law was not supported, but an inverted U-shape was observed. Jovanovic's law was confirmed. Although many studies tend not to point to profitability as a determinant of long-term growth, this is an important long-term growth factor of a company. The operating profit ratio was used in this study.

• The Korean Journal of Archival Studies
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• no.78
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• pp.79-151
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• 2023

The purpose of this study is to analyze the current state of long-term preservation policy for electronic records in Korea and to present future tasks. Although the current electronic record long-term preservation policy is not clearly codified, it can be said to consist of technical elements such as digital signature, hash, preservation format, and long-term preservation package. Each technological element was considered in order, and the limitations of the current policy and technology in the changing digital environment were analyzed and alternatives were presented.

• Korean Journal of Occupational Health Nursing
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• v.32 no.4
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• pp.141-151
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• 2023

Purpose: This study explored caregivers' support needs to relieve their physical burden while working in long-term care facilities. Methods: Participants were 12 caregivers with more than 10 years of experience working at six long-term care facilities in Gwangju, South Korea. Data were collected through individual interviews conducted between June and July 2023. The results were analyzed using qualitative content analysis. Results: Of the four sub-categories and 13 codes, two categories emerged: "need for welfare medical devices" and "need for improved working conditions." Conclusion: Caregivers working in long-term care facilities require support in deploying and utilizing welfare medical devices to reduce their physical burden, along with improving staffing standards and ensuring they receive the proper amount of days off. Therefore, it is necessary to mandate the provision of a certain level of welfare medical devices to ease the physical burden on caregivers and improve the standards for the placement of caregivers in long-term care facilities.

• Korean Journal of Adult Nursing
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• v.28 no.5
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• pp.572-584
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• 2016

Purpose: The purpose of this study was to explore the subjective experience of job stress among nurses working in long-term care hospitals. Methods: A phenomenological approach was used for the study. Data were collected from May to June, 2016 using open-ended questions during in-depth interviews. Participants were nurses working in long-term care hospitals and had reported experiences of stress. Six nurses participated in this study. Results: Six themes emerged from the analysis using Colaizzi's method: (a) Heavy workload and responsibility due to nurse shortage, (b) Getting exhausted by caring for cognitively impaired patients, (c) Feeling pressure due to conflict with patients' family, (d) compassion for patients who are getting worse, (e) Low value in being a long-term hospital nurse, and (f) Efforts to overcome stress. Conclusion: Sufficient labor supply, environmental improvements, program for improving interpersonal skills, education and counseling on end-of-life care, and recognition improvement about long term hospital are suggested to reduce the job stress of long-term hospital nurses.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.53-62
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• 2018

Purpose - The focus of this study is to investigate the structural influences such as brand value, relationship value, market orientation, long-term orientation, and performance. The effects of brand value and relationship value on the differences on transaction performance in b2b was investigated. Research design, data, and methodology - The subject of this study was a liquor and beverage distribution company that deals in b2b. The research hypothesis is based on literature of the preceding research analysis of brand value, relationship value, market orientation and long-term orientation. This study has constructs that was defined operationally by referencing previous studies. Operational questionnaire was used to investigate the target key staff who work in the liquor and beverage distribution company. 178 survey data were used for empirical analysis to prove the hypothesis. This study used structural equation techniques(AMOS) to prove the research hypothesis. Results - The main results of this empirical study were as follows. First, supplier's brand awareness has a positive effect on market orientation, but did not affect long-term orientation. Brand awareness of suppliers indicates that they are not directly related to long-term orientation. Second, supplier's brand image has a positive effect on market orientation and long-term orientation in b2b transaction. So, the brand image and reputation of the supplier suggest that it is important for the b2b transaction to have a market orientation tendency or a long-term orientation. Third, supplier's relationship value has a positive effect on long-term orientation, but does not affect market orientation. Relationship value indicates that they are not directly related to market orientations of the buyer. Fourth, Market orientation has a positive effect on long-term orientation and marketing performance and long-term orientation has a positive effect on marketing performance in b2b. Additionally, the buyers market and long term orientation are important factors in marketing performance in b2b. ' Conclusions - Based on empirical results, this study confirmed that brand image rather than brand awareness positively influenced long-term orientation as well as market orientation in b2b. Relationship value can be found in transactions, which is important for long-term orientation. Especially, these findings are suggestive in the consumer goods distribution market.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.36-41
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• 2020

This study is a descriptive study to investigate the presenteeism of nursing in long-term care hospital and general hospital. Data collection was conducted from October 01, 2019 to December 30, 2019. 74 nursing in long-term care hospital and 75 nursing in general hospital in this study. The collected data were analyzed using SPSS Win 21.0 program. Long-term care hospital nurses perceived higher health problems, job loss and perceiver productivity than general hospital nurses. This shows that there is no difference in work intensity according to the classification of patients in long-term care hospitals and general hospital nurses. In order to improve the quality of nursing care services in long-term care hospitals, it is necessary to manage the organizational aspects of long-term care hospital nurses' presenteeism.

• Journal of Environmental Impact Assessment
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• v.6 no.2
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• pp.81-92
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• 1997

This paper presents the results from the comparison analysis and evaluation between the air pollutant dispersion modeling results and the observation data in the area within a 10 km radius from the Boryong thermal power plants. The observation data used in this study were the air pollutant concentrations which had been continuously measured from 8 locations around the Boryong power plants by TMS(tele-monitoring system) for 3 months from September to November, 1996. The short-term and long-term predictions were carried out using ISC3 model and LPDM(Lagrangian Panicle Dispersion Model). The results of ISC3 modeling in a short-term showed highly as 0.7 in a correlation coefficient, but in a long-term showed just 0.54. On the other hand, LPDM showed 0.78 in a correlation coefficient for a long-term, but in a short-term showed highly value than the observation concentrations.

• The Journal of the Acoustical Society of Korea
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• v.42 no.4
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• pp.313-319
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• 2023

In this paper, a time series machine learning model, Long Short Term Memory (LSTM), is applied into the bubble flow noise data and the underwater projectile launch noise data to predict missing values of time-series underwater noise data. The former is mixed with bubble noise, flow noise, and fluid-induced interaction noise measured in a pipe and can be classified into three types. The latter is the noise generated when an underwater projectile is ejected from a launch tube and has a characteristic of instantaenous noise. For such types of noise, a data-driven model can be more useful than an analytical model. We constructed an LSTM model with given data and evaluated the model's performance based on the number of hidden units, the number of input sequences, and the decimation factor of signal. It is shown that the optimal LSTM model works well for new data of the same type.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.3
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• pp.541-550
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• 2015

The importance of efficient enterprise network management has been emphasized continuously because of the rapid utilization of Internet in a limited resource environment. For the efficient network management, the management policy that reflects the characteristics of a specific network extracted from long-term traffic analysis is essential. However, the long-term traffic data could not be handled in the past and there was only simple analysis with the shot-term traffic data. However, as the big data analytics platforms are developed, the long-term traffic data can be analyzed easily. Recently, enterprise network resource efficiency through the long-term traffic analysis is required. In this paper, we propose the methods of collecting, storing and managing the long-term enterprise traffic data. We define several classification categories, and propose a novel network resource efficiency through the multidirectional statistical analysis of classified long-term traffic. The proposed method adopted to the campus network for the evaluation. The analysis results shows that, for the efficient enterprise network management, the QoS policy must be adopted in different rules that is tuned by time, space, and the purpose.