• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.107-115
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• 2024

With the advent of the 4th Industrial Revolution, changes in the market environment and employment environment are accelerating due to smart technological innovation, and securing professional manpower and developing human resources for domestic small and medium-sized enterprises is becoming very important. Recently, most of the domestic small and medium-sized enterprises are experiencing hiring difficulties, and the development and training of human resources to overcome this is still lacking in systemization, despite much support from the government. This reflects the reality that it is not easy to invest training costs and time to adapt new employees to small and medium-sized businesses. Based on these problems, the work-study parallel project was introduced to cultivate practical talent in small and medium-sized businesses. Work-study parallel training is carried out in the form of mentoring between corporate field teachers and learning workers in actual workplaces, and even if the training is the same, there are differences depending on the learner's attitude, learning motivation, and training achievement. Ego state is a theory that can identify personality types and has the advantage of being able to understand and acknowledge oneself and others and intentionally improve positive factors to induce optimized interpersonal relationships. Accordingly, the purpose of this study is to analyze the attitudes of learning workers, who are the actual subjects for improving the performance of work-study parallel projects and establishing a stable settlement within the company, based on their ego status. Through this study, we aim to understand the impact of the personality type of learning workers on training performance and to suggest ways to improve training performance through work-study parallelism.

• Asia-Pacific Journal of Business
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• v.15 no.2
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• pp.53-70
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• 2024

Purpose - The purpose of this paper is to examine whether firms use social media to disseminate good news to various stakeholders thereby enhancing corporate social performance (CSP). Design/methodology/approach - This study collected data from various databases such as Korea Economic Justice Institute (KEJI) Index, VALUESearch, and TS2000, and such social media platforms as Instagram and Meta (formerly known as facebook). The sample of this study includes 3,474(firm-year) observations from 799 unique Korean firms between 2013-2022. This study conducts fixed effect panel regression analysis to test the hypotheses. Findings - First, we found both corporate use of social media, and the number of uploaded corporate news on social media were positively related to CSP. We also found that positive user reactions to the news on social media were positively related to CSP. Second, we examine the moderating roles of firm age in the relationships described above. The results show that firm age strengthens both the relationship between number of uploaded news on social media and CSP, and the relationship between positive user reactions to news on social media and CSP. Research implications or Originality - This study extends the social media research in the management literature by investigating how corporate use of social media, number of uploaded corporate news on social media, and the user reactions on the news on social media affect corporate social performance. For a practical implication, our results allow the stakeholders to better predict corporate future CSP. They suggest that ceteris paribus, firms that use social media actively, vis-a-vis firms that do not use social media actively, are more likely to get good CSP scores. They also suggest that such beneficial effects of social media will become more prominent as companies get older.

• Journal of Industrial Convergence
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• v.22 no.8
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• pp.105-113
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• 2024

The purpose of the study was to explain the effect of adolescents' problem-solving ability on sociality and to verify the mediating effect of self-esteem in the COVID-19 era. The study utilized the survey data using the web and mobile conducted by the Korea Youth Policy Institute, and selected 1,471 school-age adolescents as the subjects of the survey. For the analysis, the study performed various analysis methods including frequency analysis, descriptive statistics, correlation analysis, and mediating effect analysis of self-esteem using SPSS WIN 25.0 and PROCESS MACRO program. The results are as follows. First, it was shown that adolescents' problem-solving ability had a positive (+) effect on sociality. Second, there was a mediating effect of self-esteem in the relationship between adolescents' problem-solving ability and sociality. Based on these results, the practical engagement and various programs to improve adolescents' self-esteem and sociality were suggested.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.145-157
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• 2024

This study empirically analyzed the relationship between founder competency and business performance based on the premise that founder competency is the main internal resource of a company from a resource-based view, using a sample of 2,196 startups less than five years old collected and evaluated by the Korea Technology Finance Corporation during the 2016 technology evaluation. The results showed that the technological, managerial, and financial competence of founders had a positive effect on the business performance of startups, and the characteristics of founders' academic major had a moderating effect on the relationship between founder competency and business performance. Based on these findings, this study contributes to the theoretical discussion that technological, managerial, and financial competencies of founders are factors that improve business performance, and provides practical and policy implications for effective entrepreneurship education by suggesting that entrepreneurship education should be transformed and strengthened, including cross-training of founders majoring in science and engineering to foster managerial and financial competencies.

• Journal of Platform Technology
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• v.11 no.5
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• pp.49-58
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• 2023

Factory energy management system is rapidly growing and evolving due to factors such as the 3rd Basic Energy Plan and global energy cost increases, as well as environmental issues. However, implementing an essential data collection system for energy management in factory settings, which have limited space and unique characteristics, presents spatial, environmental, and energy-related challenges. This paper endeavors to mitigate these challenges by devising a data collection system implemented through an edge-based lightweight platform. A comparison and evaluation of database operation on edge devices are conducted. To conduct the evaluation, a benchmarking tool called CDI Benchmark is developed, utilizing the characteristics of existing factories involved in practical applications. The evaluation results revealed that RDBMS systems like MySQL encountered errors in the database due to high data insertion loads, making them inoperable. On the other hand, InfluxDB, thanks to its highly efficient compression algorithm, demonstrated compression rates about 6 times higher than MyRocks according to the evaluation. However, it was observed that MyRocks outperformed InfluxDB by a significant margin, recording a maximum processing time approximately 80 times faster compared to InfluxDB.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.500-518
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• 2024

Purpose: The purpose of this study is to analyze the government's disaster information characteristics and process characteristics linked to user's trust building and information acceptance, and to analyze the moderating effect of user characteristics on various media literacy on trust and information acceptance. Method: In this study, the structural influence relationship between constituent variables was analyzed using Smart PLS 3.0 as an analysis tool. In addition, in order to reflect the characteristics of various analysis samples, the number of respondents by age was composed of at least 150 samples. Result: In a disaster situation, users who accept government disaster information and trust in government were measured, and it was confirmed that these types of trust had an effect on information acceptance. It was confirmed that critical understanding, which is the media literacy competency of users, has a moderating effect between trust and information acceptance. Conclusion: It is judged that the research results have practical value in that the government can use them as basic information to provide consumer-oriented disaster information in the future.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.3
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• pp.237-247
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• 2024

Purpose : This study aimed to systematically review the effectiveness of nursing interventions for patients receiving extracorporeal membrane oxygenation (ECMO). As the use of ECMO increases in critical care settings, it is important to understand how nursing interventions affect patient outcomes, survival, and complication rates. Methods : This systematic review followed the preferred reporting items for systematic reviews and meta-analysis guidelines. A literature search was performed using terms related to ECMO and nursing interventions in several international electronic databases including CINAHL, Embase, MEDLINE, and Web of Science. Studies were screened and selected according to predefined eligibility criteria, focusing on those that evaluated the impact of nursing interventions on adult. Data extraction and risk-of-bias assessment were independently performed by two researchers. Results : A total of 647 studies were identified, and seven met the inclusion criteria for qualitative analysis. The included studies demonstrated that high-quality nursing care significantly improves clinical outcomes and reduces complications in patients receiving ECMO. Effective nursing interventions included prone positioning combined with ECMO for patients with acute respiratory distress syndrome, meticulous infection control, comprehensive and continuous nursing protocols, skilled nursing, and multidisciplinary management. These interventions have been shown to improve oxygenation, reduce complications, such as bleeding, manage blood pressure, and enhance overall clinical outcomes. Conclusion : High-quality nursing interventions are critical to improve survival and reduce complications in patients receiving ECMO. Implementing a multidisciplinary approach and comprehensive nursing protocols, including infection control and psychological support, is essential for the effective management of these patients. The findings of this study provide a foundation for the development of practical guidelines and educational programs to improve the quality of care for patients undergoing ECMO, ultimately enhancing the effectiveness of ECMO treatment and patient outcomes.

• Journal of Family Resource Management and Policy Review
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• v.28 no.3
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• pp.29-40
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• 2024

The purpose of this study was to examine the effect of socioeconomic deprivation in single-person households on depression and to identify the moderating effect of age. To achieve this, data from 2,969 individuals aged 20 and older living in single-person households were analyzed using the 17th wave of the Korean Welfare Panel Study(2022). Socioeconomic deprivation was measured by 15 items related to six domains: food, housing, social security, economic status, social exclusion, and health and medical care. Depression was measured using the CESD-11 scale, while age was considered a continuous variable. The results showed a significant relationship between socioeconomic deprivation and depression, with age playing a moderating role. Specifically, socioeconomic deprivation had a stronger negative influence on depression thean older single-person households. Based on these findings, it is suggested that policy and practical interventions should take into account age-related changes in the life course when addressing the impact of socioeconomic deprivation on depression in single-person households.

• Information Systems Review
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• v.26 no.1
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• pp.1-17
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• 2024

This study analyzes the effect of SNS Advertising Creative Strategy of Hospital. The research was conducted by two-way ANOVA and multiple regression analysis to analyze the effect of Advertising Creative Strategy, consist of message framing, appeal, and advertising models, on CTR (Click Through Rate). The data used in this research was the actual advertisement results impressed from 2018 to the beginning of 2023 through multiple SNS channel (Kakaotalk Channel, YouTube, Instagram, and Facebook) by a liposuction specialized network hospital with 20 branches in Korea. As a result of this study, different SNS Channel effects on CTR and among 'Message Framing (Positive, Negative)', 'Message Appeal (Rational, Emotional)' and 'Advertisement Models (Character, Ordinary, Professional)', only Advertisement Models had a significant effect on CTR. The result of this study is significant in the point that it analyzed the actual SNS advertisements of hospital and adopted CTR to measure the effect of advertising. Based on those findings, theoretical and practical implications, limitations of this study, and directions for further research were suggested.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.447-454
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• 2024

Construction site monitoring is pivotal for overseeing project progress to ensure that projects are completed as planned, within budget, and in compliance with applicable laws and safety standards. Additionally, it seeks to improve operational efficiency for better project execution. To achieve this, many researchers have utilized computer vision technologies to conduct automatic site monitoring and analyze the operational status of equipment. However, most existing studies estimate real-world 3D information (e.g., object tracking, work status analysis) based only on 2D pixel-based information of images. This approach presents a substantial challenge in the dynamic environments of construction sites, necessitating the manual recalibration of analytical rules and thresholds based on the specific placement and the field of view of cameras. To address these challenges, this study introduces a novel method for 3D visualization and status analysis of construction site objects using 3D reconstruction technology. This method enables the analysis of equipment's operational status by acquiring 3D spatial information of equipment from single-camera images, utilizing the Sam-Track model for object segmentation and the One-2-3-45 model for 3D reconstruction. The framework consists of three main processes: (i) single image-based 3D reconstruction, (ii) 3D visualization, and (iii) work status analysis. Experimental results from a construction site video demonstrated the method's feasibility and satisfactory performance, achieving high accuracy in status analysis for excavators (93.33%) and dump trucks (98.33%). This research provides a more consistent method for analyzing working status, making it suitable for practical field applications and offering new directions for research in vision-based 3D information analysis. Future studies will apply this method to longer videos and diverse construction sites, comparing its performance with existing 2D pixel-based methods.