• Journal of Korea Port Economic Association
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• v.39 no.1
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• pp.17-34
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• 2023

The maritime industry is undergoing significant changes due to digitalization and decarbonization, collectively known as "2D." This study investigates how these transformations are impacting the industry's business models. Since the changes are still ongoing, a cognitive approach was used to derive business models, rather than relying on actual case studies. The study presents experimental maritime business models that correspond to the four types of business model frameworks (or archetypes), along with recent trends for each model. The research results show that new business models are emerging in various areas, including the commercial and technical fields of the maritime industry. This thought-provoking study is significant as a pioneering investigation that will stimulate subsequent case-based research in academia and provide strategic guidance to market participants or policy makers in the maritime industry.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.625-645
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• 2023

This study examined newspaper articles from 2012 to the first quarter of 2021 to explore how interest in and response to veganism have evolved in the fashion and beauty industries over the past decade. By analyzing keywords and word correlations, we discovered a steady increase in veganism-related articles in both English- and Korean-language newspapers published in Korea, especially since 2019. Since 2012, consumer interest in vegan fashion materials has grown, with fashion and beauty emerging in 2018 as significant vegan-related keywords. As a result, brands have adopted vegan certification systems and introduced vegan product lines, and new vegan brands have emerged. Since 2020, companies have been promoting environmental, social, and governance (ESG) management practices and working toward eco-management that reflects vegan trends in all areas, such as cruelty-free product/packaging materials, brands, policies, and services. It is also notable that fashion/beauty consumers have been more actively starting to adopt eco-friendly lifestyles and participate in vegan-related movements since that time. Our findings offer important insights into the evolution of veganism in Korea and can help researchers and industry practitioners to develop future business strategies in the vegan fashion and beauty industries.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.61-66
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• 2023

In the past, purchasing limited products was nothing more than purchasing expensive luxury goods. However, the current 'Limited product purchase' is not just pay to ability, but the information to purchase the product are important factors. Therefore, this study aims to find out 1) the motivation to purchase limited edition products and 2) the effect of the motivation on the consumer's experience(price, intention to purchase). As a result, five major purchase motives(Conformity, Interest, Scarcity, Finance technology, Desire to concede) were found. Among them 'Interest' had a positive effect on the product purchase price, and 'Conformity' had a negative effect on the product price. Next, 'Interest' and 'Scarcity' had a positively significant effect on intention to purchase. Through this study, we were able to reveal in depth the actual purchase motives of consumers who are currently emerging as the main age group of the new consumption culture, and expect these purchase motives to be actively used in the new market such as resell markets.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.409-434
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• 2023

This study analyzes the authorship of all articles published in four domestic LIS journals over a 20-year period from 2002 to 2021 to examine the current status of scholarly communication through Korean LIS journals and suggest future prospects. To achieve this purpose, the study analyzed the number of co-authors, the proportion of returning authors, the publishing preference index (PPI), the author group change trend, and the researcher attraction index (RAI). The analysis revealed the level of collaborative research in each journal, the degree of formation of related author groups by journal, the inflection point of author group changes, the characteristics of emerging researchers, and the degree of author sharing between journals. Overall, 2015 was found to be an inflection point where the author community of Korean LIS journals changed. The newer generation of researchers showed a slightly different behavior of publishing papers than the older generation, as they mainly conduct collaborative research. These quantitative results could be triangulated with the qualitative interview data of previous studies to further strengthen the development strategy of Korean LIS journals.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.155-164
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• 2023

Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.

• International Area Studies Review
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• v.13 no.1
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• pp.309-340
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• 2009

Multinational Corporations (MNCs) are increasingly establishing globally-distributed R&D (Research and Development) centers in which sites around the world work collaboratively to develop new manufacturing and product technologies. Following new globalization strategies, these projects more often include sites in Emerging/Newly Industrializing Economies (E/NIEs). The success of these ventures promises to be increasingly important both for the bottom line of MNCs and for the development ambitions of E/NIEs. This study attempts to identify these trends and to compare R&D transfer between Korea and China. The study identifies specific factors on MNC's R&D transfer and compares those operating factors between the R&D centers in Korea and China, which attract many MNCs in the world. Among those eight dimensions relating to MNCs' operation, there are significant differences in site selection, market characteristics, government support, and R&D networking between Korea and China. The analysis show more positive factors on China than Korea regarding R&D operations. The result will be helpful for both MNC's managers and governments' decision makers with respect to R&D transfer.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.4
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• pp.1-7
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• 2023

The ability of 3D/4D printing technology to create arbitrary 3D structures provides a greater degree of freedom in the design of printed structures. This capability has influenced the field of electronics and biomedical applications by enabling the trends of device miniaturization, customization, and personalization. Here, the current state-of-the-art knowledge of 3D printed electronics and biomedical applications with the unique and unusual properties enabled by 3D/4D printing is reviewed. Specifically, the review encompasses emerging areas involving recyclable and degradable electronics, metamaterial-based pressure sensor, fully printed portable photodetector, biocompatible and high-strength teeth, bioinspired microneedle, and transformable tube array for 3D cell culture and histology.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.4
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• pp.32-43
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• 2023

Resistive Random Access Memory (RRAM), based on resistive switching characteristics, is emerging as a next-generation memory device capable of efficiently processing large amounts of data through its fast operation speed, simple device structure, and high-density implementation. Interface type resistive switching offer the advantage of low operation currents without the need for a forming process. Especially, for RRAM devices based on transition metal oxides, various studies are underway to enhance the memory characteristics, including precise material composition control and improving the reliability and stability of the device. In this paper, we introduce various methods, such as doping of heterogeneous elements, formation of multilayer films, chemical composition adjustment, and surface treatment to prevent degradation of interface type resistive switching properties and enhance the device characteristics. Through these approaches, we propose the feasibility of implementing high-efficient next-generation non-volatile memory devices based on improved resistive switching properties.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.487-495
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• 2023

Ammonia is either a crucial resource of fertilizer production for solving the food problem of mankind or an important energy source as both an eco-friendly hydrogen carrier and a carbon-free fuel. Therefore, nowadays ammonia synthesis and decomposition become promising. Then, a catalyst is required to effectively perform the ammonia synthesis and decomposition. In order to design high-performing as well as cheap novel catalysts for ammonia synthesis and decomposition, it is necessary to test huge amount of catalyst candidates, but it is inevitably time-consuming and expensive to search and analyze using only traditional approaches. Recently, new methods using machine learning which is one of the core technologies of the 4th industrial revolution that can quickly and accurately search high-performance catalysts has been emerging. In this paper, we investigate reaction mechanisms of ammonia synthesis and decomposition, and we described recent research and prospects of machine learning-driven methods that can efficiently find high-performing and economical catalysts for ammonia synthesis and decomposition.

• The Journal of Internal Korean Medicine
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• v.44 no.5
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• pp.867-874
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• 2023

Introduction: Chronic subdural hemorrhage (CSDH) primarily affects the elderly, and its incidence is rising due to aging trends. Although burr-hole craniostomy is a common treatment for CSDH, it often has a high recurrence rate and can sometimes result in poor outcomes. Oryeong-san, a traditional Korean medicine, is emerging as a potential remedy, with documented cases in both Korea and Japan. Case Presentation: In March 2021, a patient was diagnosed with an intracerebral hemorrhage in the left basal ganglia. A subsequent brain computed tomography in June 2022 revealed CSDH. Given the potential need for surgery if no CSDH absorption occurred, the patient was treated with Oryeong-san. Later computed tomography scans indicated that surgery was no longer necessary. Conclusions: This study evaluated the efficacy of Oryeong-san in treating CSDH. The results demonstrated complete CSDH absorption with no observed side effects, highlighting Oryeong-san as a promising and safe therapeutic option.