• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.75-79
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• 2024

생성형AI(Generative AI, GenAI) 서비스는 단순/반복적인 업무를 자동화하고, 많은 일자리의 생산성 향상에 도음을 주어 전반적으로 기존 일자리 감소에 영향을 줄 것이다. 반면에 높은 수준의 생성형AI 기술을 낮은 비용으로 활용할 수 있게 하고, 예술, 게임, 미디어 산업 등 창작 영역과 플랫폼 기반의 서비스 출시에 도움을 주어, 창조적 아이디어에 기반한 소수의 인원이 참여하는 1인 창조기업에서 새로운 일자리 창출에 긍정적인 영향을 줄 것이다. 본 연구의 목적은 1인 지식 창업자라고 할 수 있는 컨설턴트, 강사들이 생성형AI의 강점인 창의성을 활용하여 업무 효율을 높이는 데 적극적으로 활용할 수 있도록 생성형AI 서비스 특성이 지속이용의도에 미치는 영향을 분석하는데 있다. 본 연구에서는 기술수용모델(TAM)을 활용하여 생성형AI의 서비스 특성인 효율성, 창의성, 의인화, 개인화 및 자율성이 지속이용의도에 미치는 영향에 관한 연구를 인지된 유용성과 인지된 이용 용이성을 중심으로 진행하였다. 따라서 본 연구에서는 생성형AI의 서비스 특성이 인지된 유용성과 인지된 이용 용이성을 증진하고, 인지된 유용성과 인지된 이용 용이성이 지속 이용의도에 영향을 미칠 것이라는 인과적 경로를 검증하고자 한다. 1인 창업자가 외부의 도움없이 지속적으로 높은 수준의 업무효율를 유지할 수 있게 도움이 되는 지속사용의도를 종속변수로 설정하여 본 연구를 진행하였다.

• Archives of Plastic Surgery
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• v.51 no.1
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• pp.118-125
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• 2024

Tamai zone 4 replantation, defined as the replantation at a level proximal to the flexor digitorum superficialis' insertion and distal to where the common digital artery branches into the proper digital artery, has poor functional results because making orthosis and rehabilitation protocols that protect the bone and the flexor and extensor tendons simultaneously difficult. Two cases of Tamai zone 4 replantation are presented: one case of an index finger replantation at the proximal phalanx and a case of ring finger replantation at the proximal interphalangeal joint. The author did not repair the flexor tendon intentionally in the primary replantation and performed two-stage flexor tendon reconstruction later. The total active motions (TAMs) at the last follow-up were 215 and 180 degrees, respectively, with the latter distal interphalangeal joint being an arthrodesis. Both cases had no extension lag in the proximal interphalangeal joint. These results were much better than those in previous reports, in which the mean TAM was 133 degrees or less. The good results appeared to be mainly due to the reasonable and clear postoperative rehabilitation protocols made by the proposed procedure. This procedure may be useful for obtaining reproducible functional results even in Tamai zone 4 replantation.

• Nanomaterials
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• v.12 no.4
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• pp.702-714
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• 2022

Graphene quantum dots (GQDs) were synthesized using watermelon rind waste as a photoluminescent (PL) agent for ferric ion (Fe³⁺) detection and in vitro cellular bio-imaging. A green and simple one-pot hydrothermal technique was employed to prepare the GQDs. Their crystalline structures corresponded to the lattice fringe of graphene, possessing amide, hydroxyl, and carboxyl functional groups. The GQDs exhibited a relatively high quantum yield of approximately 37%. Prominent blue emission under UV excitation and highly selective PL quenching for Fe³⁺ were observed. Furthermore, Fe³⁺ could be detected at concentrations as low as 0.28 µM (limit of detection), allowing for high sensitivity toward Fe³⁺ detection in tap and drinking water samples. In the bio-imaging experiment, the GQDs exhibited a low cytotoxicity for the HeLa cells, and they were clearly illuminated at an excitation wavelength of 405 nm. These results can serve as the basis for developing an environment-friendly, simple, and cost-effective approach of using food waste by converting them into photoluminescent nanomaterials for the detection of metal ions in field water samples and biological cellular studies.

• Journal of Distribution Science
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• v.22 no.10
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• pp.1-12
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• 2024

Purpose: Despite significant commitments between corporations and the government on green supply chain, green logistics and sustainable production, the adoption of green and sustainable trading innovation in Vietnam continues to face many obstacles. The objective of this study is to approach the decision to adopt green and sustainable trading innovation from the perspective of the enterprise. Research Design, Methodology and Approach: A cross-sectional study with the participation of 651 employees and managers at distribution enterprises such as logistics, supply, and delivery enterprises in southern Vietnam was conducted to assess business innovation decisions through innovation awareness. Partial least squares structural equation modelling (PLS-SEM) was proposed to evaluate the structural relationships of the model. Results: The research results show that the decision to innovate an enterprise is directly positively affected by the perception of marketing innovation, process innovation and organizational innovation; in which process innovation and organizational innovation are mediators for the perception of marketing innovation. Conclusions: This study makes a significant contribution by demonstrating the impact of marketing innovation awareness on the entire process that leads to enterprise innovation decisions to fulfil customer expectations and competitive pressure in the context of the green supply chain, green logistics and sustainable production.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.153-169
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• 2012

Exhibitions have played a key role of effective marketing activity which directly informs services and products to current and potential customers. Through participating in exhibitions, exhibitors have got the opportunity to make face-to-face contact so that they can secure the market share and improve their corporate images. According to this economic importance of exhibitions, show organizers try to adopt a new IT technology for improving their performance, and researchers have also studied services which can improve the satisfaction of visitors through analyzing visit patterns of visitors. Especially, as smart technologies make them monitor activities of visitors in real-time, they have considered booth recommender systems which infer preference of visitors and recommender proper service to them like on-line environment. However, while there are many studies which can improve their performance in the side of new technological development, they have not considered the choice factor of visitors for booth recommender systems. That is, studies for factors which can influence the development direction and effective diffusion of these systems are insufficient. Most of prior studies for the acceptance of new technologies and the continuous intention of use have adopted Technology Acceptance Model (TAM) and Extended Technology Acceptance Model (ETAM). Booth recommender systems may not be new technology because they are similar with commercial recommender systems such as book recommender systems, in the smart exhibition environment, they can be considered new technology. However, for considering the smart exhibition environment beyond TAM, measurements for the intention of reuse should focus on how booth recommender systems can provide correct information to visitors. In this study, through literature reviews, we draw factors which can influence the satisfaction and reuse intention of visitors for booth recommender systems, and design a model to forecast adaptation of visitors for booth recommendation in the exhibition environment. For these purposes, we conduct a survey for visitors who attended DMC Culture Open in November 2011 and experienced booth recommender systems using own smart phone, and examine hypothesis by regression analysis. As a result, factors which can influence the satisfaction of visitors for booth recommender systems are the effectiveness, perceived ease of use, argument quality, serendipity, and so on. Moreover, the satisfaction for booth recommender systems has a positive relationship with the development of reuse intention. For these results, we have some insights for booth recommender systems in the smart exhibition environment. First, this study gives shape to important factors which are considered when they establish strategies which induce visitors to consistently use booth recommender systems. Recently, although show organizers try to improve their performances using new IT technologies, their visitors have not felt the satisfaction from these efforts. At this point, this study can help them to provide services which can improve the satisfaction of visitors and make them last relationship with visitors. On the other hands, this study suggests that they managers along the using time of booth recommender systems. For example, in the early stage of the adoption, they should focus on the argument quality, perceived ease of use, and serendipity, so that improve the acceptance of booth recommender systems. After these stages, they should bridge the differences between expectation and perception for booth recommender systems, and lead continuous uses of visitors. However, this study has some limitations. We only use four factors which can influence the satisfaction of visitors. Therefore, we should development our model to consider important additional factors. And the exhibition in our experiments has small number of booths so that visitors may not need to booth recommender systems. In the future study, we will conduct experiments in the exhibition environment which has a larger scale.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.575-582
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• 2000

Because FIFO thread scheduling used in the existing multithreaded models does not consider locality in programs, it may result in the decrease of the performance of execution, caused by the frequent context switching overhead and delay of execution of relatively short frames. Quantum unit scheduling enhances the performance a little, but it still has the problems such as the decrease in the processor utilization and the longer delay due to its heavy dependency on the priority of the quantum units. In this paper, we propose shortest-frame-first(SFF) thread scheduling algorithm. Our algorithm selects and schedules the frame that is expected to take the shortest execution time using thread size and synchronization information analyzed at compile-time. We can estimate the relative execution time of each frame at compile-time. Using SFF thread scheduling algorithm on the multithreaded models, we can expect the faster execution, better utilization of the processor, increased throughput and short waiting time compared to FIFO scheduling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4122-4131
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• 2014

The purpose of this study was to explore the features of virtual currency, which has become a hot topic recently. The characteristics of virtual currency were examined in terms of the effect on consumer acceptance. Therefore, when using the accepted model of the technology, the derived results should be analyzed by SEM. The research results showed that versatility and reliability affect the ease of use and safety is not have an effect. The utility did not have a direct effect on the attitudes and satisfaction, and the ease of use directly affects the ease of use, attitude and satisfaction. Finally, satisfaction with the attitude had a positive impact on the time of use. Effective strategies to manage the effect of the virtual currency will be possible to formulate from the results of this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.61-71
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• 2014

Recently social shopping, combining e-Commerce with Social Network Service, become a brand-new eBusiness model. In this paper, we aim to identify the structural relationship of the factors affecting the intention of using social shopping. Reviewing the previous works of social shopping, internet shopping and TAM (Technology Acceptance Model), we extract factors affecting the intention of using social shopping and build a structural research model among these factors. To analyze the structural relationship among theses factors, we perform an empirical study - gathering data from a survey and analyzing gathered data using EFA (Exploratory Factor Analysis) and SEM (Structural Equation Model) to identify the structural relationship. We also analyze moderating effect of past experience of social shopping and gender. As a result, We also can find that two factors - Perceived usefulness and Expected enjoyment - are the key factors influencing acceptance of social shopping and that more segmented strategies are required to attract customers since factors affecting Intention to use are somewhat different according to past experience and gender of respondents.

• Development and Reproduction
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• v.16 no.3
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• pp.195-204
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• 2012

Recently, we reported growth arrest-specific gene 6 (Gas6) as a new maternal effect gene (MEG), that expressed in the oocytes but functioned principally during embryogenesis. Gas6 RNAi-treated oocytes developed to metaphase II (MII) stage but they have affected M-phase promoting factor (MPF) activity and incurred abnormal pronuclear (PN) formation during fertilization. Gas6 is a ligand of TAM family members (Tyro3, Axl and Mertk) of receptor tyrosine kinase (RTK). Purpose of the present study was to evaluate the expression of Tyro3, Axl and Mertk transcripts in oocytes and early embryos. Expression of Gas6 and Mertk mRNA was detectable in oocytes and follicular cells, while Tyro3 and Axl mRNA was expressed only in follicular cells. Expression of Mertk mRNA was relatively constant during oocytes maturation and embryogenesis, but the other receptors, Tyro3 and Axl, were not expressed in oocytes and PN stage of embryos at all. Knockdown of Mertk mRNA and protein by using sequence-specific Mertk double strand RNA (dsRNA) did not affect oocytes maturation. In this case, however, contrary to the ligand Gas6 RNA interference (RNAi), MPF activity had not been changed by Mertk RNAi. Therefore, we concluded that the Gas6-Mertk signaling is not directly related to the oocyte maturation. It is still required to study further regarding the function of Mertk as the receptor of Gas6 during preimplantational early embryogenesis.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.131-138
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• 2020

In accordance with huge demand for capital to meet the expansion of steel production, there are more and more steel companies who have officially listed their stocks in HOSE and HNX. One of the key issues in successful initial public offerings and seasonal offerings for these companies is how to make stocks of steel companies become more attractive in the eyes of investors. The purpose of this research is to analyze the determinants of share prices of listed steel companies in Vietnam. This study utilized macro-economic variables, ratios and indicators representing characteristics of steel industry collected from Quarter 1/2006 to Quarter 4/2019 in association with the panel data and the feasible generalized least square (FGLS) model to evaluate the degree of these factors on the share prices. The results of the research show that ROE, Cons_rate, and CO2_rate are three main factors affecting the share prices of listed steel companies. Among which, ROE and Cons_rate have a positive effect, while CO2_rate has a negative effect on the share prices of listed steel companies. It also confirms the relationship between the environmental factor, construction industry factor and the stock prices. This lays foundations for recommendations for the future policies towards environmental protection and sustainable development.