• Korean Journal of Organic Agriculture
• /
• v.28 no.3
• /
• pp.315-334
• /
• 2020

This study was conducted to analyze factors affecting acceptance of smart farm technology. Smart farm technology is rapidly being introduced to agriculture in accordance with the progress of the 4th Industrial Revolution, but research on this is still little. Therefore, in this study, based on the unified theory of acceptance and use of technology (UTAUT), a research model reflecting the characteristics of smart farm technology was constructed. To test this, empirical analysis was performed. A survey was conducted for students in smart farm technology education and adult male and female farmers who are currently planning to operate smart farms. Valid 204 sample were used for analysis. The hypothesis test was based on multiple regression analysis using SPSS 24 statistical package. For the mediating effect and moderating effect, Process Macro 3.4 based on the regression equation was used. The results of testing the hypothesis are as follows. First, in the causal hypothesis test, it was shown that performance expectancy, social influence and price value have a significant positive effect on the intention to use smart farm technology. On the other hand, effort expectancy, facilitating conditions were not tested for a significant influence on the use of smart farm technology. As a result of analyzing the mediating effect of trust, it was found that trust plays a mediating role between performance expectancy, effort expectancy, social influence, facilitating conditions, price value and intention to use smart farm technology. In particular, the effort expectancy has not been tested for a direct significant effect on intention to use smart farm technology, but it has been shown to have an impact through trust. Trust was found to be a full mediating between the effort expectancy and the intention to use the smart farm technology. The current IT level of prospective users has been shown to play a moderating role between performance expectancy, facilitating conditions and intention to use smart farm technology. In particular, the IT level was found to strengthen the relationship between performance expectancy and intention to use smart farm technology. Based on the results of these studies, academic and practical implications were suggested.

• Journal of the Korea Safety Management & Science
• /
• v.24 no.2
• /
• pp.113-126
• /
• 2022

This study examined the effect of railway traffic controllers' negative perception of organizational culture on their job demand and job satisfaction in relation to the moderating effect of self-efficacy. Results showed that the aggressive/defensive culture based on power and competition, had a positive (+) effect on job demand and job satisfaction. On the other hand, in the conditional process model in which self-efficacy affects the relationship between organizational culture, job demand, and job satisfaction, self-efficacy played a significant role in lowering the level of job demand, and it contributed to the increase of job satisfaction through a mediating effect. This results suggest the needs for lowering the level of job demand by changing the present aggressive/defensive organizational culture into the constructive one. And also, much consideration for maintaining the level of their self-efficacy should be spent.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.9
• /
• pp.45-52
• /
• 2021

Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009-2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.291-292
• /
• 2023

In line with the advent of the 4th industrial revolution, project performance such as construction productivity and safety is being improved through the use of various smart technologies in construction projects. However, most studies focus on case analysis according to technology application, and research on performance impact and evaluation methods is insufficient. However, the performance impact of the use of smart construction technology can vary greatly depending on the capabilities and level of support of the organization using the technology. Therefore, this study aims to establish factors that affect the performance of smart construction technology utilization at the organizational level and analyze the performance impact relationship. The results of this study will provide the basis for establishing an organizational system and evaluating performance for the efficient use of smart construction technology in the future.

• Journal of the Korea Convergence Society
• /
• v.9 no.2
• /
• pp.171-176
• /
• 2018

The purpose of this study is to establish smart signage in a certain space and to analyze not only media ingestion and advertising inducement as well as any information (high vs. low vs. low) and flow level And the memory effect related to whether or not to remember. The results of this study show that the higher the interaction level and the higher the engagement level, the higher the advertising engagement is. In addition, media involvement was high when interaction level was low and flow level was high. Finally, if the level of interactivity is low and the level of flow is high, then non - valued attribution information is more likely to be recalled than the comprehensive evaluation information. If the interaction of smart signage is high and the flow of users is low, Recalled more recall information. In the future, detailed strategies for enhancing user flow will be needed rather than a strategy for unconditional enhancement of interaction in smart signage strategy.

• The Korean Fashion and Textile Research Journal
• /
• v.9 no.1
• /
• pp.35-40
• /
• 2007

Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.

• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.157-171
• /
• 2021

The purpose of this study is to assess the smart city for major cities in Korea. The assessment indicators are based on the STIM structure (Service, Technology, Infrastructure, and Management Layer Architecture) of the Multi-Layered Smart City Model. Assessment indicators are established through smart city concepts, case analysis, big data analysis, as well as weighted through expert AHP survey. For the assessment, seven major metropolitan cities are selected, including Seoul, and their data such as KOSIS, KISDISTAT from 2017 to 2019 is utilized for the smart city level assessment. The smart city level results show that the service, technology, infrastructure, and management levels were relatively high in Seoul and Incheon, which are metropolitan areas. Whereas, Busan, Daegu, and Ulsan, the Gyeongsang provinces are relatively moderate, while Daejeon and Gwangju, the South Chungcheong region and the Jeolla provinces, were relatively low. The overall STIM ranking shows a similar pattern, as the Seoul metropolitan area smart city level outperforms the rest of the analyzed areas with a large difference. Accordingly, balanced development strategies are needed to reduce gaps in the level of smart cities in South Korea, and respective smart city plans are needed considering the characteristics of each region. This paper will follow the literature review, assessment index establishment, weight analysis of assessment index, major cities assessment and result in analysis, and conclusion.

• Journal of The Korean Association of Information Education
• /
• v.18 no.1
• /
• pp.143-149
• /
• 2014

We study the level on the knowledge, attitudes, and practice of primary school (grades 3-6 students ) for the safe use of smart devices, and identify student status for the safe use of smart devices, and suggests ways of appropriate data collection, analyzing of data. Through this research, for the safe use of smart devices in education showed that the effect is very insignificant and the knowledge and practice of smart devices are widely recognized. We will suggests the suitable education contents for the smart devices safe use for primary school students. These education will be made up of 'smart devices safety using' and we will expect that primary students will be able to cultivate the 'smart devices security awareness'.

• Journal of Information Technology Applications and Management
• /
• v.23 no.1
• /
• pp.61-77
• /
• 2016

This study derived research model about the influencing factors of the successful performance of smart work. Research model is composed of four perspectives: technology perspective like system quality and usage level of information technology, interaction perspective like innovational climate, institutional perspective like personnel evaluation, and individual perspective like self-control. This study collected 155 survey data from K public company and M global software company. As a result of data analysis, all of four perspectives influenced smart work performance. Technology perspective had the strongest effect on smart work performance, the second was institution perspective, the third was interaction perspective, and the last was individual perspective. In conclusion, smart work is not an IT project. We have to reconsider the thinking that just only the introduction of cutting-edge IT increases business performance. Smart work project should be pursued in harmony with institution and climate in the organizational perspective and self-control in the personal perspective. Also, to maximize business performance in smart work environment, organizations should strengthen the positive factors and overcome the negative factors.

• The Korean Fashion and Textile Research Journal
• /
• v.22 no.2
• /
• pp.209-221
• /
• 2020

Recently, following the commercialization and market entry of smart clothes with diverse functions, smart clothes have been changing from technology-centered products to user-centered products. However, the analysis of consumer demand centered on actual commercialized products is lacking. Therefore, this study classified commercialized smart clothes by function and analyzed the demand and requirements of smart clothes according to sports/outdoor clothes consumption behaviors. As a result, consumers were classified according to their sports/outdoor clothes consumption behaviors into an outdoor leading group with high consumption propensity, an outdoor pursuit group with medium consumption propensity, and an outdoor following group with low consumption propensity. Among the commercialized smart clothes, those with a heartbeat measuring function, those with a heating function, and those with a light-emitting function were presented and demand analysis was conducted. According to the results, the outdoor leading group and the outdoor pursuit group had higher levels of awareness, preference, and purchase intentions than the outdoor following group. In addition, the outdoor leading group showed the highest level of purchase price acceptance while the outdoor following group showed the lowest level of purchase price acceptance. However, this study has a limitation that the acceptance for smart clothes were analyzed with consumers who had experience in sports outdoor clothes consumption. Therefore, in future, studies will be conducted with a wide range of consumers.