• Kosin Medical Journal
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• v.33 no.3
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• pp.468-476
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• 2018

Perioperative anaphylaxis, although rare, is a severe, life-threatening unexpected systemic hypersensitivity reaction. Simultaneous administration of various drugs during anesthesia, the difficulty of communicate with patients in sedation and anesthesia, and coverage of the patient with surgical drapes are considered to be factors that impede early recognition of anaphylactic reactions. It is very important to perform an intradermal skin test because antibiotics are the most common cause of perioperative anaphylaxis. We report a case of negative-intradermal skin test antibiotic anaphylaxis mistaken for local aesthetic systemic toxicity without increase of serum tryptase for confirmative diagnostic biomaker during surgery under brachial plexus block. It is not possible to exclude the danger of anaphylaxis completely, even if it is negative-intradermal skin test and normal tryptase level. Therefore, anesthesiologists should be closely monitored and treated early for antibiotics related hypersensitive reaction, like other medicines during anesthesia.

• The Journal of Industrial Distribution & Business
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• v.13 no.8
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• pp.9-18
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• 2022

Purpose: K-beauty products industry trends, estimates and dynamics are examined in this study to discover a potential possibility for growth. There is a thorough examination of the elements that drive and impede the expansion of the K-beauty industry. This study aims to investigate marketing strategy of K beauty product to enhance economic growth in South Korea. Research design, data and methodology: This study used one of the most famous approach for analyzing the current literature which is a PRISMA (Process and Systematic Reviews and Meta-Analyses) method. This method maps out the number of records identified, the included and the excluded ones with the reasons for the exclusion. The technique clearly states the research problem and the appropriate scope. Results: The theoretical findings of prior literature indicates K-beauty companies should retain physical locations despite the trend toward online commerce, in order to guarantee that they meet the demands of different customers and enhance customer experiences to develop trust and loyalty. Conclusions: The findings of this research are of academic importance since they provide light on customer preferences for new K-beauty products. While past research has often ignored certain kinds of influencers, this study emphasized the need of considering influencers and certain product exposure strategies together, which has major academic consequences.

• Journal of Distribution Science
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• v.21 no.6
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• pp.31-38
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• 2023

Purpose: This paper investigates how companies respond to government regulations and disasters in a risk-managed society, and aims to initiate discussions on the future prospects and challenges. Specifically, it explores how companies can plan to respond to such disasters in the future, and stresses that the law should be to protect people's lives and ensure safety, rather than to punish companies. Research design, data and methodology: The study methodology is based on a review of existing literature, as well as trend analysis through big data analysis. The research analyzes the discourse in our society regarding the enactment of the Serious Accident Punishment Act. Results: This study supports that the Serious Accident Punishment Act should be implemented in a manner that does not impede corporate activities, but rather helps to ensure the safety of citizens' daily lives. The authors call for collaboration between communities, labor unions, and companies in achieving a cooperative governance system for a safer society. Conclusions: It highlights the importance of addressing disasters and government regulations in the context of a risk-managed society, and offers insights for both companies and policymakers on how to navigate these challenges. By prioritizing safety and cooperation, we can work towards building a safer and more resilient society

• International conference on construction engineering and project management
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• 2022.06a
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• pp.284-291
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• 2022

Historical data from comparable projects can serve as benchmarking data for an ongoing project's planning during the project scoping phase. As project owners typically store substantial amounts of data generated throughout project life cycles in digitized databases, they can capture appropriate data to support various project planning activities by accessing digital databases. One of the most important work tasks in this process is identifying one or more past projects comparable to a new project. The uniqueness and complexity of construction projects along with unorganized data, impede the reliable identification of comparable past projects. A project scope document provides the preliminary overview of a project in terms of the extent of the project and project requirements. However, narratives and free-formatted descriptions of project scopes are a significant and time-consuming barrier if a human needs to review them and determine similar projects. This study proposes an Artificial Intelligence-driven model for analyzing project scope descriptions and evaluating project similarity using natural language processing (NLP) techniques. The proposed algorithm can intelligently a) extract major work activities from unstructured descriptions held in a database and b) quantify similarities by considering the semantic features of texts representing work activities. The proposed model enhances historical comparable project identification by systematically analyzing project scopes.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.92-100
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• 2023

Wireless communication technology is becoming increasingly prevalent in smart factories, but the rise in the number of wireless devices can lead to interference in the ISM band and obstacles like metal blocks within the factory can weaken communication signals, creating radio shadow areas that impede information exchange. Consequently, accurately determining the radio communication coverage range is crucial. To address this issue, a Radio Environment Map (REM) can be used to provide information about the radio environment in a specific area. In this paper, a technique for estimating an indoor REM usinga mobile robot and machine learning methods is introduced. The mobile robot first collects and processes data, including the Received Signal Strength Indicator (RSSI) and location estimation. This data is then used to implement the REM through machine learning regression algorithms such as Extra Tree Regressor, Random Forest Regressor, and Decision Tree Regressor. Furthermore, the numerical and visual performance of REM for each model can be assessed in terms of R2 and Root Mean Square Error (RMSE).

• Korea Trade Review
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• v.42 no.3
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• pp.49-74
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• 2017

Drawing on the organizational learning theory, we argue that international patenting allows firms to assess the potential value of their innovation in host countries and find out latent local competitors. The information obtained from international patenting enables firms to make refined innovations that facilitate export performance. However, structural inertia and old knowledge can impede learning from international patenting. Thus, we expect larger firms and older firms to display greater reluctance to use the knowledge obtained from international patenting. Our empirical analysis of Korean pharmaceutical companies from 1998 to 2010 shows that international patent application increases export intensity but firm size and age weaken the positive effect of international patenting on export performance.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.53-61
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• 2022

The goal of this research was to find the relationship between the work environment and societal issues that impede women's advancement to senior management positions. The study included 500 women professionals from diverse firms in Pakistan's business sector, of whom 100 were chosen as the sample size using a purposive sampling method. Experts confirmed the validity of the study tool, which was a questionnaire, and Cronbach's alpha coefficient was used to verify its reliability (0.704-0.982). The model's standardized regression coefficients suggested that social factors (0.298) were the most important factors determining women's empowerment in terms of career development and that they were further influenced by factors related to the work environment (0.411). It was concluded that organizational rules for female employees assist them to maintain a balance between work and family, resulting in a less stressful working environment. The role of the social factor as a mediator is also thought to be important in maintaining a healthier work environment in companies. It was also determined that much more work needs to be done on promotional regulations, as well as gender-blind legislation so that women's professional advancement is not limited to middle management.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.748-750
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• 2023

Facial expression recognition technology's rapid growth and development have garnered significant attention in recent years. This technology holds immense potential for various applications, making it crucial to stay up-to-date with the latest trends and advancements. Simultaneously, it is essential to identify and address the challenges that impede the technology's progress. Motivated by these factors, this study aims to understand the latest trends, future directions, and challenges in facial expression recognition technology by utilizing text mining to analyze papers published between 2020 and 2023. Our research focuses on discerning which aspects of these papers provide valuable insights into the field's recent developments and issues. By doing so, we aim to present the information in an accessible and engaging manner for readers, enabling them to understand the current state and future potential of facial expression recognition technology. Ultimately, our study seeks to contribute to the ongoing dialogue and facilitate further advancements in this rapidly evolving field.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.321-327
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• 2013

Inter-organizational Relationships (IORs) governance is one of the emerging research areas that have been studied in different contexts (e.g. economics, strategy, organization, and management). This view, particularly, attracted rising attention from academics and practitioners in the context of construction projects, due to the complex forms of IORs in terms of inter-firm exchanges (e.g. engineering, procurement, finance, construction, and operation) in these projects. The focus of IORs governance is to control Inter-organizational relationships among two or more cooperative parties to alleviate conflict and achieve mutual gains. One of the mechanisms that have been identified in the related literature is formal governance mechanism. Although many empirical studies have been conducted using formal governance terms and indicators, there isn't yet a consensual definition of this mechanism and its components that may cause misinterpretation of research results and also impede future research. This paper makes contribution to the concept of IORs governance by clarifying the meaning of formal governance mechanism and identifying different indicators of this mechanism that have been used and identified in previous studies. This provides an innovative and useful framework to understand formal governance mechanism and its application in construction projects.

• Korea Trade Review
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• v.45 no.1
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• pp.101-118
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• 2020

This study aims to quantify the effects of non-tariff measures (NTMs) on exports in the Korean manufacturing industry. To do this, we employ product-level export data that includes information about whether or not a product is affected by NTMs. One of the main results is that NTMs (SPS/TBT) on average led to reduction in Korean exports. However, the effects of NTMs differed depending on the income level of the NTM-imposing country. The NTMs imposed by high-income countries, such as U.S.A. and Japan, were found to impede Korean exports, whereas the export effect of NTMs imposed by low-income countries such as China was found to not be statistically significant. In addition, the results analyzed based across industries, income level, and types of NTMs are as follows. First, NTMs imposed on textile-related products generally hindered exports regardless of the type of NTMs, but its negative impact on exports was noticeable in the case of NTMs originating from high-income countries. On the other hand, chemical product-related NTMs were found to lead to an increase in Korean exports, and it had a positive effect in the case of SPS imposed by low-income countries. In other industries except for textile- and chemical-related products, the effects of NTMs on exports were either statistically insignificant or showed inconsistent patterns.