• Educational Technology International
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• v.8 no.1
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• pp.17-39
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• 2007

The purpose of this study was to identify the relationships among organizational commitment, job satisfaction, and learning organization culture. This study was conducted in five sub-organizations of one Korean conglomerate company. One thousand employees were randomly and proportionately selected, with 669 useable cases obtained, for a response rate of 67%. The organizational commitment instrument used from the "affective, continuance, and normative commitment" scale (ACNCS) of Allen and Meyer (1990). The "Dimensions of Learning Organization Questionnaire" of Watkins and Marsick (1997) was used to measure learning organization culture. The short form MSQ (Minnesota Satisfaction Questionnaire), developed by Weiss, Dawis, England, and Lofquist (1967), was the third instrument used. Descriptive statistics, correlational statistics, and inferential statistics (ANOVA and t-tests) were used. Organizational commitment (except for continuance) is moderately and positively related to job satisfaction and moderately and positively related to learning organization culture. In addition, learning organization culture is weakly to moderately and positively related to job satisfaction. No differences by age were found. Four-year college graduates are more likely to have higher creating continuous learning opportunities in learning organization culture than graduate school degree holders. Males are likely to have higher affective and continuance organizational commitment than females. Employees working in R&D, Engineering, and Manufacturing (REM) are likely to have higher continuance organizational commitment than do other types of jobs. Employees are more likely to have higher learning organization culture and job satisfaction than assistant managers. Assistant managers have higher continuance organizational commitment than managers. Managers generally have higher organizational commitment, learning organization culture, job satisfaction than assistant managers. They also have higher learning organization culture than employees. Employees who had worked for less than four years in their current job and organization have higher promoting inquiry and dialogue in learning organization culture than those who have worked for ten years or more. Employees in the insurance organization have higher affective organizational commitment, learning organization culture, and job satisfaction than those of the other organizations. Finally, employees of the electronic company have higher continuance organizational commitment in learning organization culture than those of other companies. In summary, this research enables CEOs and HRD and HRM practitioners to view organizational commitment, learning organization culture, and job satisfaction as important variables in exploring diverse ranges of topics related to the workplace. And then, they can diversely apply their management, interventions and practices to fit these diverse characteristics.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.53-53
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• 2022

Modem agricultural production needs to provide sustainable management practices that are eco-friendly and low cost. Plant extracts are a cost-effective and environmentally friendly alternative to synthetic plant growth regulators. This study was therefore carried out to investigate the effects of various plant extracts produced using different extraction methods on the vegetative growth of rice under laboratory and greenhouse conditions. For this study, seventeen plant extracts were made from plant species such as leaves of M. arvense, C. asiatica, M. oleifera, V. radiata, V. unguiculate, P. guajava, A. vera, and A. tuberosum, aboveground plant parts of C. rotundus, M. sativa, and P. frutescens, roots of R. undulatum, tubers of A. sativum, leaves and stems of G. max (cv. Taegwang) as well as rice straw and hulls (cv. Hopyeong). As a test crop, we applied these extracts to rice plants. For the purpose of making our extracts, some plant materials and species were collected in fields and others were purchased from Chonnam Hanyaknonghyup Cooperation (South Korea). Leaves, roots, and aboveground plant parts of plant species were dried, ground, extracted (water, boiling water and ethanol) and fermented. Rice growth promotion effects were determined using plant extracts at 0, 0.05, 0.1, 0.5, and 1% concentrations under petri dish conditions. Seven selected plant extracts were applied to rice seeds with soil drench application or seedling at 3-4 leaf stages with soil and foliar applications under greenhouse conditions. For comparison with extracts, we used urea at 0.6%. Of the 17 water extracts used in this study, 10 extracts reduced rice growth, but the other 7 extracts (P. guajava, A. vera, A. tuberosum, M. sativa, A. sativum, and G. max) increased growth by 40-60% on compared to the control in Petri dish bioassay. Thus, these 7 extracts were selected for further study. Under greenhouse conditions, rice growth also increased by 20-40% when the same 7 extracts were applied to rice seeds using soil drench application. Furthermore, at the 3-4 leaf stage rice growth also increased 30-80% or 30-60% when the same 7 extracts were applied using soil and foliar applications. Overall, the 7 extracts produced higher rates of growth promotion when soil drench application was used than when foliar application was used. In the case of boiling water and ethanol extracts, rice growth increased only 20% in response to both soil drench and foliar application of the same 7 extracts. Rice growth promotion was greater when extracts were produced using water extraction method than boiling water and ethanol extraction methods. Most notably, the 7 water extracts used in this study produced higher rates of growth promotion than urea at 0.6% which is typically used for crop growth promotion. Overall, the 7 water extracts when applied using soil drenching method can be used as effective growth promotors of rice in organic agriculture.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.601-608
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• 2022

This study examines the current status of smart manufacturing innovation policies in Germany and Korea, compares and analyzes the supply industry strategies of both countries, and suggests the direction for Korea's smart manufacturing innovation supply industry. Germany's supply industry strategy aims to strengthen the market dominance of domestic suppliers through high technology, compatibility, and high reliability based on reference for global demanding companies. On the other hand, the Korea's supply industry strategy remains at the level improvement of the demanding companies by stage, so it is time to take a long-term and consistent response with the goal of implementing smartization at the advanced level. By referring to Germany's supply industry strategy for the advancement of smart factories, it was intended to help in establishing government support policies and supplier strategies. In addition, based on the analysis results of the supply industry strategies of both countries, improvement measures for the advancement of Korea's smart factories were presented. Ultimately, the contents of this study can be used as basic data for policy establishment to strengthen the industrial competitiveness of Korea's small and medium-sized suppliers.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.107-117
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• 2023

The operating regulations of the undergraduate co-op amended and announced on July 6, 2021 aim to enhance the quality of co-op and improve student rights through the standardized operation. However, among the revisions, 75% of the minimum wage and up to 25% of job training are acting as great difficulties in corporate participation in the co-op. Therefore, the purpose of this study is to review the concept of the co-op and the main contents of the revision of the Ministry of Education's operating regulations, and to examine companies' perceptions and responses. As a result of the study, some companies were not aware of the revision of the notice in detail. In addition, the revisions related to the training support fee was found to be the biggest concern among the corporates, and the burden of job training also existed among the corporates. Based on the research results, policy improvement directions were discussed, and the implications and limitations of this study were also suggested.

• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1679-1692
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• 2023

South Korea is a country that emits a large amount of pollutants as a result of population growth and industrial development and is also severely affected by transboundary air pollution due to its geographical location. As pollutants from both domestic and foreign sources contribute to air pollution in Korea, the location of air pollutant emission sources is crucial for understanding the movement and distribution of pollutants in the atmosphere and establishing national-level air pollution management and response strategies. Based on this background, this study aims to effectively acquire spatial information on domestic and international air pollutant emission sources, which is essential for analyzing air pollution status, by utilizing high-resolution optical satellite images and deep learning-based image segmentation models. In particular, industrial parks and quarries, which have been evaluated as contributing significantly to transboundary air pollution, were selected as the main research subjects, and images of these areas from multi-purpose satellites 3 and 3A were collected, preprocessed, and converted into input and label data for model training. As a result of training the U-Net model using this data, the overall accuracy of 0.8484 and mean Intersection over Union (mIoU) of 0.6490 were achieved, and the predicted maps showed significant results in extracting object boundaries more accurately than the label data created by course annotations.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.95-109
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• 2023

In light of the world grappling with diverse environmental issues due to climate change, the prominence of the 'pre-cycling' movement has grown. This movement strives to curtail or eliminate waste generation even before product purchases, garnering more attention than conventional eco-friendly practices. Consequently, this study employs experiments to delve into effective message strategies for promoting pre-cycling behaviors, which serve as preventive measures against the escalating environmental challenges posed by worsening waste problems. This study investigated the effects of message framing and temporal distance on pre-cycling behavioral intention. In terms of message frame, suggestive messages increased pre-cycling behavioral intention more than coercive messages, and temporal distance had no direct effect on pre-cycling behavioral intention. Assertive messages were associated with higher pre-cycling behavioral intentions when the target was interpreted as near future and suggestive messages were interpreted as distant future. Although temporal distance did not directly affect pre-cycling behavioral intention, it positively influenced consumers' pro-environmental behavioral intention by reducing their antipathy toward assertive messages. The implications of this study extend to the realm of management, offering insights into steering consumer behavior in response to pro-environmental messages.

• Journal of Korean Dental Science
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• v.16 no.2
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• pp.128-148
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• 2023

Dementia is an umbrella term that describes the loss of thinking, memory, attention, logical reasoning, and other mental abilities to the extent that it interferes with the activities of daily living. More than 50 million individuals worldwide live with dementia, which is expected to increase to 131 million by 2050. Recent research has shown that poor oral health increases the risk of dementia, while oral health declines with cognitive decline. In this narrative review, the literature was based on the "hypothesis" that dementia and oral health have a close relationship, and appropriate oral health and occlusal rehabilitation treatment can improve the quality of life of patients with dementia and prevent progression. We conducted a literature search in PubMed and Google Scholar databases, using the search terms "dementia," "major neurocognitive disorder," "dentition," "occlusion," "tooth loss," "dental prosthesis," "dental implant," and "occlusal rehabilitation" in the title field over the past 30 years. A total of 131 studies that scientifically addressed dementia, oral health, and/or oral rehabilitation were included. In a meta-analysis, the random effect model demonstrated significant tooth loss increasing the dementia risk 3.64-fold (pooled odds ratio=3.64, 95% confidence interval [2.50~5.32], P-value=0.0348). Tooth loss can be an important indicator of cognitive function decline. As the number of missing teeth increases, the risk of dementia increases. Loss of teeth can lead to a decrease in the ascending information to the brain and reduced masticatory ability, cerebral blood flow, and psychological atrophy. Oral microbiome dysbiosis and migration of key bacterial species to the brain can also cause dementia. Additionally, inflammation in the oral cavity affects the inflammatory response of the brain and the complete body. Conversely, proper oral hygiene management, the placement of dental implants or prostheses to replace lost teeth, and the restoration of masticatory function can inhibit symptom progression in patients with dementia. Therefore, improving oral health can prevent dementia progression and improve the quality of life of patients.

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.765-774
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• 2023

Due to climatechange, precipitation variability has increased, leading to more frequentoccurrences of droughts and floods. To establish measures for managing waterresources in response to the increasing uncertainties of climate conditions, itis necessary to understand the variability of natural river discharge and theimpact of reservoir operation modeling considering dam inflow and artificialwater supply. In this study, an integrated rainfall-runoff and reservoiroperation modeling was applied to analyze the water supply reliability andflood risk for a multipurpose dam catchment under climate change conditions. Therainfall-runoff model employed was the modèle du Génie Rural à 4 paramètresJournalier (GR4J) model, and the reservoir operation model used was an R-basedmodel with the structure of HEC-Ressim. Applying the climate change scenariosuntil 2100 to the established integrated model, the changes in water supplyreliability and flood risk of the Happcheon Dam were quantitatively analyzed.The results of the water supply reliability analysis showed that under SSP2-4.5conditions, the water supply reliability was higher than that under SSP5-8.5conditions. Particularly, in the far-future period, the range of flood risk widened,and both SSP2-4.5 and SSP5-8.5 scenarios showed the highest median flood riskvalues. While precipitation and runoff were expected to increase by less than10%, dam-released flood discharge was projected to surge by over 120% comparedto the baseline

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.815-822
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• 2023

Organic pollution is one of the most common forms of water contamination. Under the Water Quality Conservation Act, indicators for measuring organic substances include BOD, COD, and TOC. Analysis of BOD and COD is labor-intensive, and in the case of organic substances where biological decomposition is not feasible or toxic substances are present, the accuracy is often low. Therefore, the Ministry of Environment is shifting towards TOC-centric management. With advancements in sensor technology today, various parameters can be monitored using sensors. In this study, digital monitoring of river TOC using a spectrophotometer called Spectro::lyser V3 was conducted. Initially, experiments were carried out at the Andong River Experiment Center to assess the applicability of the measurement equipment. Subsequently, data collected at the confluence of the Nakdong River was analyzed for the spatial distribution of TOC using the Kriging technique. This research proposes the utilization of sensors for river TOC monitoring and spatial distribution analysis. Real-time monitoring of changes in river TOC concentration can serve as fundamental data for pollution monitoring and response. Sensor-based river monitoring offers advantages in terms of temporal resolution and real-time data acquisition. When various spatial information interpretation methods are applied, it is expected to contribute to diverse studies such as aquatic ecological health, river water source selection, and stratification analysis in the future.

• Journal of Digital Policy
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• v.2 no.4
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• pp.1-10
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• 2023

This study conducted preliminary study to identify effective ways to use ChatGPT in traffic policing by analyzing ChatGPT's responses to the driver's license test and the road traffic accident appraiser test. I collected ChatGPT responses for the driver's license test item pool and the road traffic accident appraiser test using the OpenAI API with Python code for 30 iterative experiments, and analyzed the percentage of correct answers by test, year, section, and consistency. First, the average correct answer rate for the driver's license test and the for road traffic accident appraisers test was 44.60% and 35.45%, respectively, which was lower than the pass criteria, and the correct answer rate after 2022 was lower than the average correct answer rate. Second, the percentage of correct answers by section ranged from 29.69% to 56.80%, showing a significant difference. Third, it consistently produced the same response more than 95% of the time when the answer was correct. To effectively utilize ChatGPT, it is necessary to have user expertise, evaluation data and analysis methods, design a quality traffic law corpus and periodic learning.