• 임상간호연구
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• 제16권1호
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• pp.61-70
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• 2010

Purpose: The purpose of this study was to examine knowledge, perception, safety climate and compliance with hospital infection standard precautions and to identify the factors influencing nurse's compliance with standard precautions. Methods: Using the structured survey, data were collected from 292 nurses working at 4 general hospitals in the metropolitan city Seoul in October, 2008. Data were entered and analyzed with SPSS 12.0. Results: The majority of nurses were female with a mean age of 27.8. The mean score for knowledge of standard precautions was 21.2 out of 25. The nurses lacked knowledge on reusable gloves or gowns. Nurses perceived use of protective devices may not only increase time strain but also hinder development of therapeutic relationships with patients. Of safety climate factors, lack of time was the most frequently reported barrier to compliance with standard precautions. Knowledge, perception, and safety climate explained 16.1% variance of compliance with standard precautions. Conclusion: To improve nurses' compliance with standard precautions, provision of education and support for safety climate are necessary.

• 한국의류학회지
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• 제34권11호
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• pp.1900-1911
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• 2010

This study focuses on clothing as one of the most seasonal products and investigates consumer behavior related to climate change adaptation. This study addressed four objectives: (1) to identify the clothing behavior of consumers for the adaptation to climate change; (2) to identify the effects of fashion involvement and climate sensitivity on clothing attitude for the adaptation to climate change; (3) to identify the effect of clothing purchase time on climate sensitivity and clothing attitude for the adaptation to climate change; and (4) to identify the effect of consumer demographics on climate sensitivity and clothing attitude for the adaptation to climate change. A survey questionnaire was developed and implemented to collect data for measuring clothing involvement, fashion involvement, and climate sensitivity. In addition, clothing involvement, clothing assortment needs, and clothing worn for the adaptation to climate change were measured. A total of 349 responses were analyzed by t-test, ANOVA and path analysis with SPSS18.0. The results of the analysis are as follows. Changes in temperature were considered more important than changes in weather for the functional needs of clothing, purchase needs, and assortment items needs. The assortment items wearing for the adaptation to climate change varied depending on the temperature and weather. Fashion involvement directly influenced clothing assortment needs and indirectly influenced the clothing worn for the adaptation to climate change. In terms of clothing purchase time, those purchasing clothing before the season begins, tended to have a high fashion involvement and clothing attitude for the adaptation to climate change. Those in their twenties and single, tended to be more sensitive to climate change. This study also discusses the implications for merchandising strategies.

• 한국의류산업학회지
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• 제7권1호
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• pp.33-40
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• 2005

This study is to develope the job stress model for workers in fashion and textile industries and to investigate the effect of job stressors on stress symptom and its effect on job performance. The structural equation model analysis was performed for examining the relationship among job stressors, stress symptom and job performance. Environmental factors, task factors, role factors and organizational climate factors were identified as job stressors. Task characteristics and role characteristics were positively related to job stress symptom. Environmental factors and organizational climate factors were negatively related to job stress symptom. Also, job stress symptom was negatively related to job performance. The findings suggest some implications on how to improve job performance or to reduce job stress.

• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.293-313
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• 2013

Preproject phase is an important but often ignored research area in information systems field although it has an undeniable importance for successful project. The purpose of this study is to identify factors affecting project performance in preproject phase and to find empirically critical factors among them. After deriving 9 factors through literature review including clear project definition, project leader position, staffing efforts, preproject team expertise, preproject knowledge scope, preproject partnering, top-management support, resource sufficiency, and project climate, the study investigate the influence of those factors on project performance. The study results reveal that clear project definition, project climate, resource sufficiency, pre-project knowledge scope, project leader position have significant impact on project process satisfaction, a measure of project performance, but the other factors do not. Based on the empirical results, the study discuss academic and practical implications.

• 한국경영과학회지
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• 제41권4호
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• pp.75-93
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• 2016

This study aims at analyzing the relationship between team characteristic and innovation performance. The mediating effect of creative climate on the team characteristic and innovation performance is also measured. Based upon literature review, individual creative characteristics, team diversity, team cohesion, task characteristics are presented as antecedents of team characteristic. Creative climate affects the creative behavior and innovative performance. Creative climate is measured as the Team Climate Inventory (TCI) proposed by Anderson & West (1998) including goal, participative-autonomy and innovative-support. Data were collected from 186 survey responses (54 Teams) out of total 462 (69 teams) from the R&D department of a major ICT firm in Korea. Empirical results show the diversity, cohesion, job characteristic, individual creative characteristic have a positive effect on the creative climate and innovation performance. The participative-autonomy climate factor appears to mediate the relationship between team characteristic (diversity, cohesion, job and individual characteristics) and innovation performance. However, the mediating effects of goals and innovative-support factors were not significant statistically. It was confirmed that the organization can contribute to improve the team innovation performance by facilitating a autonomy and participative climate as well as fostering the team characteristic.

• Ocean and Polar Research
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• 제34권3호
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• pp.275-286
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• 2012

Over the last 20 years there have been more than 3000 peer-reviewed papers relating to climate change and biodiversity published, and still the numbers are increasing. However, most studies focused on the impacts of climate change at population or community levels, and the results invariably reveal that there has been, or will be, a negative effect on the structure and pattern of biodiversity. Moreover, the climate change models and statistical analyses used to test the impacts are only newly developed, and the analyses or predictions can often be misled. In this review, I ask why an individual's life history is considered in the study how climate change affects biodiversity, and what ecological factors are impacted by climate change. Using evidence from a range of species, I demonstrate that diverse life history traits, such as early growth rate, migration/foraging behaviour and lifespan, can be shifted by climate change at individual level. Particularly I discuss that the optimal decision under unknown circumstance (climate change) would be the reduction of the ecological fitness at individual level, and hence, a shift in the balance of the ecosystem could be affected without having a critical impact on any one species. To conclude, I summarize the links between climate changes, ecological decision in life history, the revised consequence at individual level, and discuss how the finely-balanced relationship affects biodiversity and population structure.

• 한국농공학회논문집
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• 제57권2호
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• pp.1-13
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• 2015

The Coupled Model Intercomparison Project Phase 5 (CMIP5), coordinated by the World Climate Research Programme in support of the Intergovernmental Panel on Climate Change (IPCC) AR5, is the most recent, provides projections of future climate change using various global climate models under four major greenhouse gas emission scenarios. There is a wide selection of climate models available to provide projections of future climate change. These provide for a wide range of possible outcomes when trying to inform managers about possible climate changes. Hence, future agrometeorological indicators estimation will be much impacted by which global climate model and climate change scenarios are used. Decision makers are increasingly expected to use climate information, but the uncertainties associated with global climate models pose substantial hurdles for agricultural resources planning. Although it is the most reasonable that quantifying of the future uncertainty using climate change scenarios, preliminary analysis using reasonable factors for selecting a subset for decision making are needed. In order to narrow the projections to a handful of models that could be used in a climate change impact study, we could provide effective information for selecting climate model and scenarios for climate change impact assessment using maximum/minimum temperature, precipitation, reference evapotranspiration, and moisture index of nine Representative Concentration Pathways (RCP) scenarios.

• 환경영향평가
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• 제21권5호
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• pp.735-743
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• 2012

Since the CBD(Conservation on Biological Diversity)'s 10th Conference of the Parties adopted the protocol on access to genetic resources and benefit sharing in Nagoya 2010, the importance of endangered species studies such as habitat distribution, protection and management have been more emerged. Corylopsis coreana, an endangered species in Korea, was isolated nationally and has been damaged by anthropogenic factors. In this paper, we identified the factors affecting C. coreana habitat at the national scale and regional scale using National Survey of Natural Environment and predicted the distribution of C. coreana. Annual precipitation, precipitation of wettest quarter, temperature seasonality and Digital Elevation Model(DEM) were derived as important factors at the national scale, and precipitation of wettest quarter, DEM and solar radiation on spring were identified as important factors at regional scale. Colylopsis distribution was affected by an effect of climate significantly at the national scale, and by additionally the microclimate and topography at regional scale. These findings will be used as the basis on habitat conservation and restoration plan and climate change.

• 한국안전학회지
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• 제24권5호
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• pp.77-83
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• 2009

The manufacturing industry is the one with the most frequent industrial disasters, and it is important to study the safety climate recognized by workers in the industry in order to actively prevent industrial accidents. However, little research has been performed on the safety climate in workplaces felt by the workers in the manufacturing industry. The purpose of this study is to identify the factors affecting work environment safeness based on practical analysis via survey, and to establish the relation between safety performance factors and safeness of work environment. The survey was performed for workers in the manufacturing industry(n=228), and structural equations model analysis by using the AMOS 7.0 was performed in order to identify the fit of the research model and the causation among factors. According to the results of the analysis, the reliability and the model fit were appropriate for interpretation, and safety participation was shown to affect safeness of work environment more than safety compliance. The results of this study may serve as the reference for taking a measure to improve the level of safeness of the work environment felt by workers in the manufacturing industry.

• Journal of Information Technology Applications and Management
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• 제23권1호
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• pp.61-77
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• 2016

This study derived research model about the influencing factors of the successful performance of smart work. Research model is composed of four perspectives: technology perspective like system quality and usage level of information technology, interaction perspective like innovational climate, institutional perspective like personnel evaluation, and individual perspective like self-control. This study collected 155 survey data from K public company and M global software company. As a result of data analysis, all of four perspectives influenced smart work performance. Technology perspective had the strongest effect on smart work performance, the second was institution perspective, the third was interaction perspective, and the last was individual perspective. In conclusion, smart work is not an IT project. We have to reconsider the thinking that just only the introduction of cutting-edge IT increases business performance. Smart work project should be pursued in harmony with institution and climate in the organizational perspective and self-control in the personal perspective. Also, to maximize business performance in smart work environment, organizations should strengthen the positive factors and overcome the negative factors.