• Journal of Korean Clinical Nursing Research
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• v.29 no.3
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• pp.211-222
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• 2023

Purpose: This study was conducted to update the existing evidence-based nursing clinical practice guideline for indwelling urinary catheterization (IUC). Methods: The guideline have been revised in 22 steps based on international standards. The quality of the practice guidelines to be used for revision was evaluated using the Appraisal of Guidelines for Research and Evaluation II. The evaluation of the content appropriateness and applicability of the draft recommendations of the revised practice guidelines was performed using the RAND/UCLA Appropriateness Method, a decision-making method developed by the RAND Corporation. Four guidelines were used for the revision. Results: The updated nursing practice guideline for IUC consisted of 9 domains and 134 recommendations. The numbers of recommendations in each domain were: 4 Assessment, 20 Equipment, 11 Catheter insertion, 52 Catheter maintenance, 4 Catheter and drainage bag change, 9 Catheter removal, 22 Complications management, 5 Education and consult, and 7 Hospital support. The recommended grade was 8.2% for A, 38.1% for B, and 53.7% for C. Among these, the major revision was done in 11 recommendations (8.2%). A total of 29 recommendations (21.6%) were newly added. 30 (22.4%) recommendations had minor revisions such as changes or addition for some words or sentences, and 13 (9.7%) recommendations were deleted. Conclusion: Revised nursing practice guideline is expected to serve as an evidence-based practice guideline for IUC in Korea. This guideline will provide health care providers, patients, and caregivers with information to help manage IUC, leading to improved patient outcomes.

• The Journal of Fisheries Business Administration
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• v.54 no.3
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• pp.45-67
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• 2023

The purpose of this study is to construct a regional-sector-fishery-offshore and inshore fishery competitiveness index, examine the types and changes of competitiveness, and derive implications by processing data of the Survey on the Current Status of Offshore and Inshore Fishery from 2013 to 2020 for this study. The main results of this study can be summarized as follows. First, considering the competitiveness of offshore and inshore fishery by region and year, Jeonnam, Jeju, and Incheon were relatively competitive. Second, considering the competitiveness of inshore fishery by region and year, we found that Jeonnam, Chungnam, Jeonbuk, and Jeju were relatively competitive. Third, looking at the types of competitiveness based on the competitiveness index in the management sector of offshore and inshore fisheries by region and year, Ulsan, Jeonnam, and Gyeongbuk were relatively competitive between 2014 and 2020. Fourth, Jeonnam and Jeju were relatively competitive between 2014 and 2020 based on the competitiveness index in the fishing sector of offshore and inshore fisheries by region and year. Fifth, we found that Jeonnam, Jeju, and Chungnam were relatively strong in the competitiveness of offshore and inshore fishery, combining the offshore and inshore fishery indexes by region and year. The results of this study have some limitation on outlier treatment, grade assignment, and weight for aggregation, so research considering these needs to be done in the future. In conclusion, the results of this study which were derived objectively and scientifically in the era of the 4th industrial revolution, when evidence-based decision-making was becoming critical, are expected to help the central or local governments determine the priority of support projects or investments.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.6
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• pp.821-830
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• 2023

Various studies has tried to unveil causes of cost overrun and schedule delay in the road construction project. However, these causes need standardization due to difference by guidelines, relevant research, and facilities. Therefore, this study identifies and elaborate standard road construction cost and schedule variation factors that can be used in the planning and execution of the project. variation factors have been derived and grouped through literature review and modified and supplemented through expert interview. In addition, the connection with the relevant guidance factors is confirmed and the usability is reviewed by applying actual road construction cases. The factors suggested in this study comprehensively include factors of related guidelines and previous research, more clearly distinguish, support decision making.

• Advanced Industrial SCIence
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• v.2 no.4
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• pp.17-27
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• 2023

The purpose of this study is to improve the efficiency of digital conversion by presenting factors that domestic small and medium-sized manufacturers should consider when attempting digital conversion. Using SME data from 2019 to 2021, we analyze the impact of digital transformation on the financialization of enterprises and which digital technologies affect financialization, and further analyze the mediating effect of green technology innovation between digital transformation and business finance. did The results of the study support the negative impact of digital technologies on corporate finance, and cloud computing technologies have been found to significantly inhibit the level of corporate finance. In addition, it was found that green technology innovation plays a mediating role in suppressing corporate financialization by promoting green technology innovation through digital transformation. Digital transformation influences corporate decision-making through green technology innovation, suggesting that the combination of digital technology and green projects should be considered.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.561-566
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• 2011

In general, the early stage of urban renewal such as preparing a master plan and processing administrative works including planning permission are conducted by local governments in Korea. The local governments need to review the status of projects that are undergone in other local governments' territories. However, no integrated information system to manage information to this end at the level of nation exists in Korea. If the system would be developed, it may support central government to obtain information on required resources at the national level. In addition, local governments can gain guidance on the process and recognize potential problematic situations from others experience. The system should include functions to collect data on project summary, cost and schedule of projects according to local governments. The expected effects from using the information system are as following. First, information generated from project practice become more credible on account of management at the national level. Because the authorized party such as system administrative agents of governments are responsible for collecting and managing data. Second, the unified information system with no regard to the place where projects progresses reduces the efforts for accumulating reference data for aiding local governments decision making by providing appropriate information timely. Also, enhanced information accessibility for stakeholders make the project process clear. Finally, oversight management is enforced with visualization technology adopted in the system, presenting master plan and mass model including information on usage by floors and progressing information graphically. Ultimately, potential challenges can be anticipated by considering records accumulated from other local governments' projects. This paper presents concept, functionalities, and architecture of information system enabling to manage data from individual projects and aggregate those for oversight management for local and central governments. As a part of systems analysis, general requirements of briefing system for governments and necessary data fields to this end are identified.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.397-419
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• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.23-31
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• 2024

The paper investigates the influence of government-led projects on investors' decision-making reference points, using Prospect Theory and Human Capital Theory. It empirically explores whether government initiatives shift investors' reference points, offering insights for private investments in government-backed ventures. The study, spanning from May 2017 to May 2022, compares 51 companies involved in Korea's 'New Deal' policy to 49 non-participating companies. It considers founders' human capital elements such as past startup experience, technical and managerial industry experience, education level, and graduate school reputation. The analysis reveals that only the reputation of the founder's graduate school has a significant negative effect, implying a conservative approach by investors towards government-led projects. This highlights the need for investors to consider the founder's social capital and the impact of government support on venture growth and public offering pace.

• Convergence Security Journal
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• v.23 no.4
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• pp.122-129
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• 2023

The paradigm of warfare is undergoing a revolutionary transformation due to the advancements in technology brought forth by the Fourth Industrial Revolution. Specifically, the U.S. military has introduced the concept of mosaic warfare as a means of military innovation, aiming to integrate diverse resources and capabilities, including various weapons, platforms, information systems, and artificial intelligence. This integration enhances the ability to conduct agile operations and respond effectively to dynamic situations. The incorporation of mosaic warfare could facilitate efficient and rapid command and control by integrating AI staff with human commanders. Ukrainian military operations have already employed mosaic warfare in response to Russian aggression. This paper focuses on the mosaic war fare concept, which is being proposed as a model for future warfare, and suggests the strategy for introducing the Korean mosaic warfare concept in light of the changing battlefield paradigm.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.4
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• pp.65-73
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• 2024

In modern management, leadership has become an essential strategy rather than a choice, and interest in coaching leadership is increasing. Additionally, companies face inevitable tasks such as sustainable management and ESG management, which are crucial aspects of corporate social responsibility. This is a global phenomenon, and social value management activities play a significant role in evaluating the worth of modern companies. ESG management is assessed as a decisive indicator for investors' decision-making based on various global guidelines. ESG is an important issue not only for large corporations but also for small and medium-sized enterprises (SMEs). The government is actively expanding infrastructure and providing support to enable SMEs to lead ESG management among domestic companies. However, research on the ESG management of SMEs is still insufficient, and existing ESG studies have primarily focused on financial indicators. Therefore, the necessity for empirical studies involving various variables is emphasized. This study analyzed the impact of coaching leadership on organizational innovation behavior and performance in SMEs, mediated by ESG management. According to the analysis, coaching leadership positively influences organizational innovation behavior and performance by promoting ESG management in SMEs. The findings indicate that coaching leadership has a positive impact on organizational innovation behavior and performance, while persuasion and participation of internal members are essential for success. Moreover, this study provides practical and policy implications, offering specific strategies for SMEs to effectively implement ESG management and ensure sustainability, thereby supporting long-term growth.

• Korean Circulation Journal
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• v.54 no.1
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• pp.30-39
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• 2024

Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.