• Journal of Korea Port Economic Association
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• v.19 no.2
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• pp.111-139
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• 2003

In this paper, the unbiasedness hypothesis cannot be rejected for JPY. It means that Japanese forward exchange market is efficient. This implies that there would not be an unusual profit from speculation. However, the unbiasedness hypothesis can be rejected for THB, HKD, IDR. It means that Asian forward exchange market is inefficient. This implies that there would be an unusual profit from all available information. This suggests that forward exchange rates cannot be an unbiased estimator of future spot exchange rate. This result explains that the actual pricing for forward rate is not based on the international financial market's pricing mechanism of interest rate parity theory, but rather depends upon that simple market expectations and aspirations.

• Electronics and Telecommunications Trends
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• v.33 no.6
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• pp.139-153
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• 2018

The explosive interest in block chain, which was triggered by Bitcoin in 2009, is leading to substantial investment and the development of block chain technology. There is no dispute among experts that block chain will be the next generation of innovation. However, despite the high expectations for block chains, the related technology still has certain limitations. In addition to improving issues such as a low transaction throughput, inefficient agreement algorithms, and an inflexible governance structure, it is necessary to solve various problems for commercialization and full-scale spreading owing to the trilemma problem among the scalability, security, and decentralization. Under this situation, identification of the technology characteristics according to the generation is helpful for the development of the core technology requirements and commercialization blueprint in establishing an R&D direction. Therefore, in this article, the development of blockchain technology is divided into generations and analyzed in terms of the operational structure, consensus algorithm, governance, scalability, and security.

• Nutrition Research and Practice
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• v.15 no.sup1
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• pp.22-31
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• 2021

Coronavirus disease 2019 (COVID-19) is a new type of respiratory disease that has been announced as a pandemic. The COVID-19 outbreak has changed the way we live. It has also changed the food service industry. This study aimed to identify trends in the food and food service industry after the COVID-19 outbreak and suggest research themes induced by industry trends. This study investigated the industry and academic information on the food and food service industry and societal trends resulting from the COVID-19 outbreak. The most noticeable changes in the food industry include the explosive increase in home meal replacement, meal-kit consumption, online orders, take-out, and drive-through. The adoption of technologies, including robots and artificial intelligence, has also been noted. Such industry trends are discussed in this paper from a research perspective, including consumer, employee, and organizational strategy perspectives. This study reviews the changes in the food service industry after COVID-19 and the implications that these changes have rendered to academia. The paper concludes with future expectations that would come in the era of COVID-19.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1404-1409
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• 2009

These days, the extension and complication of construction project has attached greater significance to IT system for effective project management. Construction companies inside the country have established IT system, but the fact is that they are not up to the expectations of investment provision, and the absense of objective and strategy about project management information system makes its efficiency doubtful. The research, from the point view of construction company, makes an estimate of indefinite future, and presents the process of making out IT system roadmap as a long-term strategy in building IT system.

• Asia Marketing Journal
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• v.16 no.3
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• pp.35-56
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• 2014

With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

• International Commerce and Information Review
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• v.14 no.3
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• pp.281-306
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• 2012

Global competition has resulted in companies' expectations to heighten competitiveness and enhance customer service through ownership companies' reduced investment on logistics costs, in turn focusing on the development of core competence, in addition to logistics companies' increased tendencies to satisfy customers' needs and requirements through logistics outsourcing. However, a partial perspective of the logistics contract exists due to its flexible characteristic in order to act accordingly in times of sudden changes and uncertainty. Therefore, this study is designed to test through a survey the standard of desired format of logistics contract in comparison to the currently existing format based on the results of researcher's previous study on the specific clauses in the logistics contract and its effect on the logistics outcome. A hypothesis has been designed to test the differences of perspective between two test groups, and a t-test &IPA (Importance-Performance Analysis) was performed. As a result, firstly, there was a significant difference of perspective between the ownership companies and logistics companies when dealing with the logistics contract; secondly, a significant difference of perspective was also expressed between the two groups on how to guide and re-direct the present standard of logistics contract. In addition, the two groups also showed a difference of expectations between the current and future service standard. Therefore, this study is designed to specify the difference of perspective and expectations between the ownership companies and the logistics companies in order to provide a gateway for the two groups in order to further develop and enhance the field of logistics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.74-84
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• 2020

This study was conducted to discover the meaning and the essential structure of the experiences of nursing students' introductory clinical practice. The participants were eight nursing students who had carried out the introductory clinical practice at a hospital. The data was collected from July 15 2019 to July 31, 2019 through focus group discussions and in-depth individual interviews using non-structured questionnaires. The data was analyzed by Colaizzi's phenomenological analysis methodology. The introductory clinical practice experienced by nursing students was categorized as followed: 'Feel worried and concern about expectations at the same time', 'Hospital experience as reality', 'Becoming accustomed to complexed emotion's, 'The first step of becoming a nurse', and 'Preparation for the future'. The five categories were expanded in the same context according to time. The essential structure of the clinical introductory practice experiences of the nursing students revealed by the study is that they begin to practice feeling worried and concerned about expectations, and concern about experience and adaption to various situations, emotions and preparation for the future. Based on the results obtained from this study, it is necessary to develop a realistic and effective education program before starting clinical practice.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.139-146
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• 2020

Care of people with severe disabilities requires care throughout their life cycle compared to non-disabled families. For this reason, carers of severely handicapped families are highly likely to have negative feelings throughout the family as well as daily stress. Disabled families also have a high rate of experiencing difficulties between non-disabled children or married couples in life centered on the disabled. In particular, the rapid aging in Korea affects the lives of the elderly disabilities along with the aging of the caregivers. The study explored alternatives to realistic support through the past and present experiences of caregivers with disabilities through qualitative research methods, and derived hopes and expectations for the future as follows.First, after confirming the disability for infants and toddlers with disabilities, information about the support system or system is provided from the rating agency. Second, providing "customized care support" suitable for the type of disability or individual characteristics at the social, political, institutional, and economic levels. Third, the provision of programs for non-disabled children and the provision of healing programs only for families with disabilities or those with disabilities. Fourth, the provision of spaces and programs that provide rest and rest for adults with disabilities. Fifth, the application of a long-term care system for the elderly reflecting the aging age of the disabled and institutionalization of community care for the disabled. The research is meaningful in that it presents discussion points for improving the quality of life of adults and the elderly with disabilities.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.05a
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• pp.48-48
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• 2010

Sound quality and NVH-issues(Noise, Vibration and Harshness) of vehicles has become very important for car manufacturers. It is interpreted as among the most relevant factors regarding perceived product quality, and is important in gaining market advantage. The general sound quality of vehicles was gradually improved over the years. However, today the development cycles in the automotive industry are constantly reduced to meet the customers' demands and to react quickly to market needs. In addition, new drive and fuel concepts, tightened ecological specifications, increase of vehicle classes and increasing diversification(increasing market for niche vehicles), etc. challenge the acoustic engineers trying to develop a pleasant, adequate, harmonious passenger cabin sound. Another aspect concerns the general pressure for reducing emission and fuel consumption, which lead to vehicle weight reductions through material changes also resulting in new noise and vibration conflicts. Furthermore, in the context of alternative powertrains and engine concepts, the new objective is to detect and implement the vehicle sound, tailored to suit the auditory expectations and needs of the target group. New questions must be answered: What are appropriate sounds for hybrid or electric vehicles? How are new vehicle sounds perceived and judged? How can customer-oriented, client-specific target sounds be determined? Which sounds are needed to fulfil the driving task, and so on? Thus, advanced methods and tools are necessary which cope with the increasing complexity of NVH-problems and conflicts and at the same time which cope with the growing expectations regarding the acoustical comfort. Moreover, it is exceedingly important to have already detailed and reliable information about NVH-issues in early design phases to guarantee high quality standards. This requires the use of sophisticated simulation techniques, which allow for the virtual construction and testing of subsystems and/or the whole car in early development stages. The virtual, testing is very important especially with respect to alternative drive concepts(hybrid cars, electric cars, hydrogen fuel cell cars), where complete new NVH-problems and challenges occur which have to be adequately managed right from the beginning. In this context, it is important to mention that the challenge is that all noise contributions from different sources lead to a harmonious, well-balanced overall sound. The optimization of single sources alone does not automatically result in an ideal overall vehicle sound. The paper highlights modern and innovative NVH measurement technologies as well as presents solutions of recent NVH tasks and challenges. Furthermore, future prospects and developments in the field of automotive acoustics are considered and discussed.

• Korean Journal of Radiology
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• v.24 no.5
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• pp.454-464
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• 2023

Objective: We aimed to investigate current expectations and clinical adoption of artificial intelligence (AI) software among neuroradiologists in Korea. Materials and Methods: In April 2022, a 30-item online survey was conducted by neuroradiologists from the Korean Society of Neuroradiology (KSNR) to assess current user experiences, perceptions, attitudes, and future expectations regarding AI for neuro-applications. Respondents with experience in AI software were further investigated in terms of the number and type of software used, period of use, clinical usefulness, and future scope. Results were compared between respondents with and without experience with AI software through multivariable logistic regression and mediation analyses. Results: The survey was completed by 73 respondents, accounting for 21.9% (73/334) of the KSNR members; 72.6% (53/73) were familiar with AI and 58.9% (43/73) had used AI software, with approximately 86% (37/43) using 1-3 AI software programs and 51.2% (22/43) having up to one year of experience with AI software. Among AI software types, brain volumetry software was the most common (62.8% [27/43]). Although 52.1% (38/73) assumed that AI is currently useful in practice, 86.3% (63/73) expected it to be useful for clinical practice within 10 years. The main expected benefits were reducing the time spent on repetitive tasks (91.8% [67/73]) and improving reading accuracy and reducing errors (72.6% [53/73]). Those who experienced AI software were more familiar with AI (adjusted odds ratio, 7.1 [95% confidence interval, 1.81-27.81]; P = 0.005). More than half of the respondents with AI software experience (55.8% [24/43]) agreed that AI should be included in training curriculums, while almost all (95.3% [41/43]) believed that radiologists should coordinate to improve its performance. Conclusion: A majority of respondents experienced AI software and showed a proactive attitude toward adopting AI in clinical practice, suggesting that AI should be incorporated into training and active participation in AI development should be encouraged.