• Journal of Information Processing Systems
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• v.19 no.3
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• pp.347-354
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• 2023

The rapid development of information technology has accelerated the application of big data and the Internet of Things in various industries. Big data has a great potential in the development of smart tourism. With the help of innovation in emerging technologies such as big data and Internet of Things, smart tourism has a better possibility to surpass traditional tourism. Therefore, this article provides a theoretical support to this process. It has explored the innovative management model of big data and IoT in smart tourism and evaluate their effects on promoting tourism. It offers a reference for the integration and innovation of the tourism theory system. Before big data technology, the development of Internet boosted online tourism. However, tourism marketing is still inefficient due to a lack of understanding about tourists. After many practical explorations of big data technology, tourism websites begin to adopt big data technology in their daily operations. With the changes in tourists' preferences and needs, further innovation and research are needed to help smart tourism keep up with the changes in the market and create more competitive products and services. Innovation serves as the driving force for enterprises to occupy the market and develop.

• Korea Journal of Hospital Management
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• v.15 no.4
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• pp.63-77
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• 2010

The purposes of this study were to describe the effects of perception of organizational culture type and job satisfaction on university hospital nurses' innovation behavior. A survey was conducted with 418 respondents working in a university hospital in Cheonan City. Organizational culture types (developmental, group, rational, hierarchical), job satisfaction and individual characteristics were surveyed. The relationships between each variable and the innovation behavior were analyzed by univariate analysis and the independent effects of these variables were examined with multiple regression. The mean score of general employees innovation behavior was 3.33 (p=.58) and that of managers was 3.53(p=.64). For general employees, there were statistically significant differences in innovation behavior according to education level. For managers, there were statistically significant differences in innovation behavior for education level, marital status and duration of work. On multiple regression analysis, the factors affecting innovation behavior of general employees were developmental culture( =.297, ${\beta}$ p<.01), group culture (${\beta}$=.184, p<.01) and job satisfaction(${\beta}$=.148, p<.05). And the factors affecting innovation behavior of managers were developmental culture(${\beta}$=.181, p<.01), rational culture(${\beta}$=.171, p<.01) and group culture(${\beta}$=.408, p<.01), In conclusion, the results of this study show that organizational culture and job satisfaction influence hospital nurses'innovation behavior.

• Journal of Korea Trade
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• v.24 no.6
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• pp.37-60
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• 2020

Purpose - The purpose of this study is to investigate the direct and indirect impact of innovation space factors on the growth of semiconductor enterprises. Design/methodology - This empirical study uses the financial statements of 83 semiconductor listed companies in 23 provinces from 2004 to 2019 approved by CSRC (2019). A stepwise regression and backward regression are employed in order to examine the role of innovation space to expand technology investment in promoting business growth and uses South Korean Samsung's investment in China as a test case. Findings - Results indicate that innovation space, technology input, geographical area, owner's background, operating years and financing liabilities all contribute to a boost in business growth. Factors such as carbon emission, financial liberalization, government efficiency, technology input, and financing liabilities further influence management growth. Innovation space follows a nonlinear pattern, and this plays a positive role in magnifying the influence of technology on management growth. Additionally, operations of the state-owned companies and expansionary financing enterprises are influenced by the external economy. Regarding the spatial distribution, the Samsung investment in 24 companies in China shows that Samsung focuses on the acquisition of scarce resources for semiconductor production as a component of its investment and innovation strategy. Originality/value - Even though prior research has considered the concepts studied here, this study contributes to empirically evaluate the direct impact of innovation space on business growth, and the indirect impact of innovation space on business growth through technology investment. This study includes an in-depth discussion of the practical effects that innovation space has on China's economy, using a case of South Korean Samsung's investment in China as a test the empirical findings.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.51-58
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• 2023

The purpose of this study is to identify various variables that affect the intention to use the metaverse, which has recently attracted attention. In particular, while previous studies have focused only on the variables that have a positive effect on the spread of the metaverse, this study tried to examine both the use and resistance perspectives by examining the psychological variables of consumers who reject specific changes, such as innovation resistance. By constructing consumer characteristics and innovation characteristic variables that affect innovation diffusion, the relationship between innovation resistance, attitude toward the metaverse, and intention to use the metaverse was examined. As a result of the study, it was found that innovation propensity, social image, and conformity had a negative effect on resistance to the metaverse. In addition, innovation propensity, social image, suitability, relative advantage, complexity, and observability mediate innovation resistance and attitudes toward the metaverse, and were finally revealed as variables that have positive or negative influences on the intention to use the metaverse.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.555-582
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• 2005

This is a case study on the new model of Graduate School recently established by 22 government-sponsored research institutes, focused on the University of Science and Technology(UST). It first deals with the necessity of authorized education system in government-sponsored research institutes not only for nourishing highly caliber manpower but also for activating research institutes. And then it analyzes the general status of the UST and Japanese graduate school model and its comparison. Finally it points out some suggestions for future development of the UST.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.2
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• pp.321-340
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• 2013

The purpose of this study was to investigate elementary school teachers'concern and implementation of differentiated instruction of mathematics. To achieve the purpose, this study applied measurements of CBAM, including Stages of Concern Questionnaire and Innovation Configurations Checklist, to 133 elementary school teachers. The results indicated that most teachers were in awareness stage, which meant they had little concern on differentiated mathematics instruction. As well as, analysis on innovation configurations revealed that b and c variation, each referred to fidelity to and deviance from national curriculum standard relatively, were dominant in their instruction. Based on the results, the study suggested implications on future policies and teacher training for differentiated mathematics instruction.

• The Journal of Sustainable Design and Educational Environment Research
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• v.20 no.1
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• pp.11-18
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• 2021

The objective of this research is to propose the policy alternatives which can assist schools to effectively carry out the School Space Innovation Project (SSIP) of the Ministry of Education. The Emotional Space Project (ESP) of Gangwon-do School District was analyzed as one of representative SSIPs. Chapter II analyzed the project process and stakeholders involved in the ESP. Chapter III carried out the interview with the representative stakeholders that had participated in each step. The interview described the major problems ESP and SSIP have. Finally, Chapter IV proposed the comprehensive alternatives to deal with the problems, such as improving the effectiveness of project information sessions, strengthening the competencies of facilitators, and developing guidelines. It is expected that the research alternatives can be applied for developing innovative school spaces more suited to school scenes as well as helping effective operation of SSIP in schools.

• BMB Reports
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• v.48 no.5
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• pp.283-288
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• 2015

We found that resveratrol enhances interferon (IFN)-γ-induced tryptophanyl-tRNA-synthetase (TTS) expression in bone marrow-derived dendritic cells (BMDCs). Resveratrol-induced TTS expression is associated with glycogen synthase kinase-3β (GSK-3β) activity. In addition, we found that resveratrol regulates naive CD8⁺ T-cell polarization by modulating GSK-3β activity in IFN-γ-stimulated BMDCs, and that resveratol induces upregulation of TTS in CD8⁺ T-cells in the in vivo tumor environment. Taken together, resveratrol upregulates IFN-γ-induced TTS expression in a GSK-3β-dependent manner, and this TTS modulation is crucial for DC-mediated T-cell modulation. [BMB Reports 2015; 48(5): 283-288]

• Animal Bioscience
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• v.35 no.7
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• pp.1048-1058
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• 2022

Objective: The present study was to investigate the extraction conditions of dietary fiber from dried cassava pulp (DCP) and cassava distiller's dried grains (CDG) under different NaOH concentrations, and the Fourier transform infrared (FTIR) was used to determine the dietary fiber components. Methods: The dried samples (DCP and CDG) were treated with various concentrations of NaOH at levels of 2%, 4%, 6%, and 8% using a completely randomized design with 4 replications of each. After extraction, the residual DCP and CDG dietary fiber were dried in a hot air oven at 55℃ to 60℃. Finally, the oven dried extracted dietary fiber was powdered to a particle size of 1 mm. Both extracted dietary fibers were analyzed for their chemical composition and determined by FTIR. Results: The DCP and CDG treated with NaOH linearly or quadratically or cubically (p<0.05) increased the total dietary fiber (TDF) and insoluble fiber (IDF). The optimal conditions for extracting dietary fiber from DCP and CDG were under treatment with 6% and 4% NaOH, respectively, as these conditions yielded the highest TDF and IDF contents. These results were associated with the FTIR spectra integration for a semi-quantitative analysis, which obtained the highest cellulose content in dietary fiber extracted from DCP and CDG with 6% and 4% NaOH solution, respectively. The principal component analysis illustrated clear separation of spectral distribution in cassava pulp extracted dietary fiber (DFCP) and cassava distiller's dried grains extracted dietary fiber (DFCDG) when treated with 6% and 4% NaOH, respectively. Conclusion: The optimal conditions for the extraction of dietary fiber from DCP and CDG were treatment with 6% and 4% NaOH solution, respectively. In addition, FTIR spectroscopy proved itself to be a powerful tool for fiber identification.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.179-195
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• 2024

The technological innovation of high-tech enterprises plays a positive driving role in operational performance. Investigating the factors influencing the operational performance of high-tech enterprises and the effects of technological innovation on operational performance is a targeted approach to promoting the growth of economic benefits and enhancing the foundation of enterprise efficiency. Additionally, it holds positive significance for the increase in market share of high-tech enterprises. This paper, considering the characteristics of high-tech enterprises, selects three influencing factors: research and development (R&D) investment intensity, the number of authorized patents, and the increment of intangible assets. Theoretical analysis is conducted on the impact mechanism and effects of these factors on operational performance. Based on this, empirical analysis is performed using relevant data of Chinese high-tech enterprises from 2011 to 2019. The study indicates that R&D investment intensity has a significant positive promoting effect on operational performance, the number of authorized patents also positively influences operational performance significantly, while the asset-liability ratio of high-tech enterprises has a notable inhibitory effect on operational performance. Finally, relevant recommendations are proposed.