• Title/Summary/Keyword: Climate

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The Effects of Hospital's Affect Climate on Organizational Commitment and Organizational Performance: Mediating Effect of Emotional Sharing to Leader (의료기관 감정환경이 조직몰입 및 조직성과에 미치는 영향 : 상사와 감정공유의 매개효과)

  • Cho, Kyoung Won;Sagong, Mi
    • Korea Journal of Hospital Management
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    • v.26 no.4
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    • pp.38-50
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    • 2021
  • Purpose: The purpose of this study was to identify the relation among affect climate, organizational commitment and organizational performance. Methodology: The survey was conducted through online questionnaires from April 28 to May 1, 2020 for workers in medical institutions. Multiple regression analysis and mediating effects test were performed to identify the influence relationship. Findings: The results, based on a sample of 344 workers in medical institutions, indicate that Positive display climate, Positive experiential climate and Authentic experiential climate are positively related to both organizational commitment and organizational performance. We also found that the lemotional sharing has a partial mediation effect in the relationship that positive display climate, positive experiential climate, and authentic experiential climate affect affective organizational commitment. Practical Implications: Emotional sharing is encouraged for hospital's workers, and the authentic experiential climate contributes to improving work efficiency as well as organizational performance.

Exploring the Relationship between Social Capital and Team Climate in IT Project Teams (IT 프로젝트 팀에 있어서 내외부 사회적 자본과 조직 분위기에 관한 연구)

  • Lee, Jungwoo;Lee, Hyejung;Lee, Seulki
    • Journal of Information Technology Services
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    • v.16 no.3
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    • pp.67-81
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    • 2017
  • IT project teams are composed of experts from various domains with different backgrounds, such as business and technologies. Thus, enhancing knowledge sharing and increasing team social capital are critical for the success of the project. This study examines the relationship among the team social capital, team climate and team performance. A research model and hypotheses are developed from literature review and empirically validated. The research model consists of team social capital, team climate and team performance. Specifically, team social capital, as antecedents, wasconceptualized asinternal and external differentiated by team boundary, and team climate is conceptualized as innovative climate and supportive climate. Using measures adopted from previous studies, 166 data points were collected to test the research model and related hypotheses. PLS data analysis indicated that internal and external social capitalhave positive effect on innovative climate while internal social capital has a positive effect on supportive team climate. The innovative and supportive climate has significant effect on the team performance. Based on the results, we proposed several team management skills for IT project managers. Theoretical constributions are discussed at the end with limitations and further studies.

Development of Indicators for Assessment of Technology Integrated Business Models in Climate Change Responses (기후기술 융·복합 사업모델 평가를 위한 지표 개발)

  • Oh, Sang Jin;Sung, Min-Gyu;Kim, Hyung-Ju
    • Journal of Climate Change Research
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    • v.9 no.4
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    • pp.435-443
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    • 2018
  • Climate technology applied to address climate change requires a comprehensive review such as environmental and social acceptability in addition to economic feasibility. Not only mitigation and adaptation technologies, but also integration of climate technologies into a business model with other relevant technologies including ICT, finance, and policy instruments could enhance technical, economic, and environmental performances to respond to climate changes. However, many climate projects (and business models) are currently not designed to consider adequately complex climate?related issues. In addition, there is a lack of research on assessment systems that can comprehensively evaluate business feasibility of such models. In this study, we developed a system consisting of nine major indicators in four fields to assess climate technology-based business models. Each indicator was weighed using the analytic hierarchy process (AHP) for systematic assessment of business models. The process can be utilized as a tool to guide improvement of climate technology business models.

Projection of Future Changes in Drought Characteristics in Korea Peninsula Using Effective Drought Index (유효가뭄지수(EDI)를 이용한 한반도 미래 가뭄 특성 전망)

  • Gwak, Yongseok;Cho, Jaepil;Jung, Imgook;Kim, Dowoo;Jang, Sangmin
    • Journal of Climate Change Research
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    • v.9 no.1
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    • pp.31-45
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    • 2018
  • This study implemented the prediction of drought properties (number of drought events, intensity, duration) using the user-oriented systematical procedures of downscaling climate change scenarios based the multiple global climate models (GCMs), AIMS (APCC Integrated Modeling Solution) program. The drought properties were defined and estimated with Effective Drought Index (EDI). The optimal 10 models among 29 GCMs were selected, by the estimation of the spatial and temporal reproducibility about the five climate change indices related with precipitation. In addition, Simple Quantile Mapping (SQM) as the downscaling technique is much better in describing the observed precipitation events than Spatial Disaggregation Quantile Delta Mapping (SDQDM). Even though the procedure was systematically applied, there are still limitations in describing the observed spatial precipitation properties well due to the offset of spatial variability in multi-model ensemble (MME) analysis. As a result, the farther into the future, the duration and the number of drought generation will be decreased, while the intensity of drought will be increased. Regionally, the drought at the central regions of the Korean Peninsula is expected to be mitigated, while that at the southern regions are expected to be severe.

Perceived Discrimination and Workplace Violence among School Health Teachers: Relationship with School Organizational Climate

  • Kim, Joohee;Ko, Young
    • Research in Community and Public Health Nursing
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    • v.33 no.4
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    • pp.432-445
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    • 2022
  • Purpose: The purpose of this study was to identify the relationship of the school organizational climate with perceived discrimination and the workplace violence among school health teachers. Methods: The research design was a cross-sectional study. The subjects of the study were 350 school health teachers with more than one year of teaching experience. Data were collected online using a questionnaire. Research variables are general characteristics, organizational climate, perceived discrimination, and workplace violence. The relationship between organizational climate and perceived discrimination and the relationship between organizational climate and workplace violence were analyzed using regression analysis. Results: The score for organizational climate of health teachers was 3.10 out of 5 points, the score for perceived discrimination was 2.85 out of 5 points, and the experience rate of workplace violence was 16.9%. School organizational climate was related to both workplace violence and perceived discrimination. The subcomponents of organizational climate affecting perceived discrimination of health teachers were interrelationship and the level of compensation. The subcomponents of organizational climate affecting workplace violence of health teachers were interrelationship and autonomy. Conclusion: The improvement of the school's organizational climate can reduce the level of workplace violence and discrimination against health teachers. It is important to establish an appropriate evaluation system for health teachers and to recognize the role and expertise of health teachers. In addition, it is necessary for school administraters to actively support health teahcers and to create an organizational climate where they can be friendly and communicative.

An Analysis of the Impact of Climate Change on the Korean Onion Market

  • BAEK, Ho-Seung;KIM, In-Seck
    • The Journal of Industrial Distribution & Business
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    • v.11 no.3
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    • pp.39-50
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    • 2020
  • Purpose: Agriculture, which is heavily influenced by climate conditions, is one of the industries most affected by climate change. In this respect, various studies on the impact of climate change on the agricultural market have been conducted. Since climate change is a long-term phenomenon for more than a decade, long-term projections of agricultural prices as well as climate variables are needed to properly analyze the impact of climate change on the agricultural market. However, these long-term price projections are often major constraints on studies of climate changes. The purpose of this study is to analyze the impacts of climate changes on the Korean onion market using ex-post analysis approach in order to avoid the difficulties of long-term price projections. Research design, data and methodology: This study develops an annual dynamic partial equilibrium model of Korean onion market. The behavioral equations of the model were estimated by OLS based on the annual data from 1988 to 2018. The modelling system is first simulated to have actual onion market conditions from 2014 to 2018 as a baseline and then compared it to the scenario assuming the climatic conditions under RCP8.5 over the same period. Scenario analyses were simulated by both comparative static and dynamic approach to evaluate the differences between the two approaches. Results: According to the empirical results, if the climate conditions under RCP8.5 were applied from 2014 to 2018, the yield of onion would increase by about 4%, and the price of onion would decrease from 3.7% to 17.4%. In addition, the average price fluctuation rate over the five years under RCP8.5 climate conditions is 56%, which is more volatile than 46% under actual climate conditions. Empirical results also show that the price decreases have been alleviated in dynamic model compared with comparative static model. Conclusions: Empirical results show that climate change is expected to increase onion yields and reduce onion prices. Therefore, the appropriate countermeasures against climate change in Korean onion market should be found in the stabilization of supply and demand for price stabilization rather than technical aspects such as the development of new varieties to increase productivity.

Development of Representative GCMs Selection Technique for Uncertainty in Climate Change Scenario (기후변화 시나리오 자료의 불확실성 고려를 위한 대표 GCM 선정기법 개발)

  • Jung, Imgook;Eum, Hyung-Il;Lee, Eun-Jeong;Park, Jihoon;Cho, Jaepil
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.5
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    • pp.149-162
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    • 2018
  • It is necessary to select the appropriate global climate model (GCM) to take into account the impacts of climate change on integrated water management. The objective of this study was to develop the selection technique of representative GCMs for uncertainty in climate change scenario. The selection technique which set priorities of GCMs consisted of two steps. First step was evaluating original GCMs by comparing with grid-based observational data for the past period. Second step was evaluating whether the statistical downscaled data reflect characteristics for the historical period. Spatial Disaggregation Quantile Delta Mapping (SDQDM), one of the statistical downscaling methods, was used for the downscaled data. The way of evaluating was using explanatory power, the stepwise ratio of the entire GCMs by Expert Team on Climate Change Detection and Indices (ETCCDI) basis. We used 26 GCMs based on CMIP5 data. The Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios were selected for this study. The period for evaluating reproducibility of historical period was 30 years from 1976 to 2005. Precipitation, maximum temperature, and minimum temperature were used as collected climate variables. As a result, we suggested representative 13 GCMs among 26 GCMs by using the selection technique developed in this research. Furthermore, this result can be utilized as a basic data for integrated water management.

Development and Application of CCGIS for the Estimation of Vulnerability Index over Korea (한반도 기후변화 취약성 지수 산정을 위한 CCGIS의 개발 및 활용)

  • Kim, Cheol-Hee;Song, Chang-Keun;Hong, You deok;Yu, Jeong Ah;Ryu, Seong-Hyun;Yim, Gwang-Young
    • Journal of Climate Change Research
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    • v.3 no.1
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    • pp.13-24
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    • 2012
  • CCGIS (Climate Change Adaptation Toolkit based on GIS) was developed to use as a tool for the climate change assessment and any relevant tasks involving climate change adaptation policy over Korean peninsula. The main objective of CCGIS is to facilitate an efficient and relevant information for the estimation of climate change vulnerability index by providing key information in the climate change adaptation process. In particular, the atmospheric modeling system implemented in CCGIS, which is composed of climate and meteorological numerical model and the atmospheric environmental models, were used as a tool to generate the climate and environmental IPCC SRES (A2, B1, A1B, A1T, A1FI, and A1 scenarios) climate data for the year of 2000, 2020, 2050, and 2100. This article introduces the components of CCGIS and describes its application to the Korean peninsula. Some examples of the CCGIS and its use for both climate change adaptation and estimation of vulnerability index applied to Korean provinces are presented and discussed here.