• The Korean Journal of Food And Nutrition
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• v.31 no.1
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• pp.185-194
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• 2018

The purpose of this study was to investigate the structural relationship between environmental factors, personal factors, ease of use, usefulness and behavioral intention of delivery application by applying the extended Technology Acceptance Model (TAM). An online survey was conducted based on a self-administered questionnaire to a selected sample who had an experience of using delivery application at least once. The survey was conducted in September, 2017. The data obtained was analyzed using SPSS 24.0 for windows and AMOS 24.0. The findings of the study showed that among environmental factors, social influence had a significant effect on perceived usefulness and perceived ease of use and facilitating conditions had a significant effect on perceived ease of use only. Among personal factors, anxiety had a significant effect on perceived usefulness, while innovation had a significant effect on perceived ease of use. Both of perceived usefulness and perceived ease of use had a significant effect on behavioral intention. This study suggests the importance of environmental and personal factors for increase of behavioral intention of delivery application.

• Korean Journal of Food Science and Technology
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• v.35 no.1
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• pp.33-37
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• 2003

Sensory quality of pine nut gruel was investigated to determine the effects of processing conditions on its quality. Response surface methodology was applied to investigate effects of water volume and pine nut weight ratios to rice weight and heating time on the preference of pine nut gruel in terms of color, flavor, viscosity, taste, and overall acceptance. Results showed that processing conditions did not affect the color of pine nut gruel. Viscosity and overall acceptance were affected by the ratio of water volume to rice weight and heating time. $R^2$ of response surface regression equations were 0.6954, 0.8333 (p<0.05), 0.9668 (p<0.01), 0.8664 (p<0.05), and 0.8159 (p<0.10) for color, flavor, viscosity, taste, and overall acceptance respectively. No relationship was observed between color and overall acceptance. The relationship between viscosity and overall acceptance was the highest.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.13 no.1
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• pp.16-39
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• 2017

This paper reviewed and summarized the experimental studies conducted during last three decades to evaluate the structural integrity and to establish the acceptance criteria for piping system of nuclear power plants (NPPs) under seismic loading condition. These experimental studies contain the results of large-scale piping system tests under excessive seismic loading as well as standard specimen tests, simplified piping specimen tests, and piping components tests under simplified dynamic and cyclic loading. These would be useful as a basis for establishing integrity assessment procedure and acceptance criteria for piping systems of NPPs under beyond design basis earthquake (BDBE) conditions, and also could be used in planing the scope and direction of further related researches.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.876-883
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• 2023

Radioactive waste should be solidified before being disposed of in the repository to eliminate liquidity or dispersibility. Cement is a widely used solidifying media for radioactive waste, and cement solidified waste should satisfy the minimum compressive strength of the waste acceptance criteria of a radioactive repository. Although the compressive strength of waste should be measured by the test method provided by the waste acceptance criteria, the method differs depending on the operating repository of different countries. Considering the measured compressive strength changes depending on test conditions, the effect of test conditions should be analyzed to avoid overestimation or underestimation of the compressive strength during disposal. We selected test conditions such as the height-to-diameter ratio, loading rate, and porosity as the main factors affecting the compressive strength of cement solidified radioactive waste. Owing to the large variance in measured compressive strength, the effects of the test conditions were analyzed via statistical analyses using parametric and nonparametric methods. The results showed that the test condition of the lower loading rate, with a height-to-diameter ratio of two, reflected the actual cement content well, while the porosity showed no correlation. The compressive strength assessment method that reflects the large variance of strengths was suggested.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.599-606
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• 2019

Telepresence robot-assisted learning can provide opportunities of education for students who are in vulnerable physical, intellectual, cultural or environmental conditions. It is to be applied in international virtual education for global citizenship education. To date, the study of acceptance model has been conducted only for preservice teachers, and post-intention for use is not considered. This paper identified whether there are significant differences by gender or years of experience from elementary school teachers on it and the basic factors that affect the acceptance intentions for it. Factors related to intention to use for a telepresence robot were investigated, and a questionnaire about post-intention for use was made after participants operated. The results showed that elementary school teachers did not have a significant difference in each factor by gender. The experienced teachers showed no difficulty in using it. It was shown that PU, ATT, PENJ, SI and Ttrust were all extremely significant factors to affect acceptance intentions. It will be possible to establish educational information policies based on the acceptance intentions of elementary school teachers on telepresence robot-assisted learning.

• Fashion, Industry and Education
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• v.15 no.2
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• pp.36-52
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• 2017

In this study, we tried to understand preschooler clothing trends and identify the purchase behaviors of various consumers, such as grandparents, aunts, uncles, and parents, who are the main consumers of the preschooler clothing market. We conducted in-depth interviews with consumers who were interested in preschooler clothing, purchased it frequently, and bought preschooler clothing within the last three months. Their purchase motivations and purchase behaviors were analyzed through exploratory and inductive analysis. The analysis was conducted by integrating categories into one process centered on core categories through open coding, axial coding, and selective coding. The results of this study included that 1) a variety of clothing purchase behaviors appeared as a central phenomenon, 2) the causal conditions that contributed to this phenomenon were the buyers' childcare experiences, purchase experiences, the personal consumption values of individuals, and income levels, 3) in response to the central phenomenon, the parents' action/interaction strategies were acceptance and rejection of purchased clothing, 4) contextual and Intervening conditions affecting action/interaction strategy were family environment changes, the VIB (Very Important Baby) phenomenon, parents' clothing involvement, and the relationship with the buyers, and acceptance by the users, and 5) as a result of the strategy expressed as acceptance and rejection, various clothing behaviors emerged. In this study, we identified that there are various influencers, apart from parents, involved in children's clothing consumption. Therefore, we need to keep in mind that various purchase behaviors and clothing trends that appear during one's childhood may affect the individual's clothing behavior in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.157-175
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• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.150-156
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• 2017

In July, 2015, the Korean national assembly passed 'Act on Capital Markets and Financial Investments,' and therefore, it was expected that the crowd funding would be activated owing to a variety of fundraisings and investments. Hence, for the success of the crowd funding, this paper tried to identify the factors affecting the funding. In this study we analyzed the core variables of the Unified Theory of Acceptance and Use of Technology(UTAUT) and their perceived risks on the crowd funding participants' intentions as well as the mediating effects of the attitudes; the core variables of UTAUT were performance expectancy, perceived risk, facilitating conditions, social influence, and the like. As a result, it was found that such facilitating conditions as performance expectancy and social influence would affect crowd funding participants' intention positively, but that effort expectancy and perceived risk would not significantly affect their intention. On the other hand, as a result of testing the mediating effects of the attitudes, it was found that performance expectancy and social influence would have significant mediating effects on participants' intention.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.199-211
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• 2021

This study analyzed the factors that influence the domestic SMEs that have introduced smart factories on their intention to accept at a higher level for qualitative advancement. 375 copies collected through an online survey were analyzed using SPSS and AMOS with UTAUT and the extended two-stage information system continuous model. Performance expectancy, effort expectancy, social influence, and facilitating conditions have a statistically significant effect on user satisfaction and user satisfaction and CEO's will have an effect on the intention to accept the advancement. However, the suppliers' technology didn't have a direct effect on the advancement acceptance intention and user satisfaction has a mediating effect between performance expectancy, effort expectancy, social influence, facilitating conditions and the advancement acceptance intention. SME's advancement for smart factory, it is important to improve the satisfaction level and the CEO's will to become smart.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.117-147
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• 2008

Developing various ubiquitous computing services (U-services) is being propelled throughout the industry. As U-services are being penetrated into our daily life, research on the factors influencing the acceptance of U-services is highly needed. In this line of study, we examined previous literatures about information technology acceptance and UTAUT model, and applied UTAUT model to U-service acceptance. To characterize the U-services into our research model, we newly introduced 'context based personalization' factor. Since the respondents could not directly experience the U-services yet, we adopted scenario-based questionnaire. For this, we deliberately developed U-service scenario. And then this U-service scenario is verified using capability-based assessment method. Using data collected from 251 respondents, this study found that 'context based personalization' factor was positively and significantly related to the acceptance of U-service as well as UTAUT model's 4 factors such as performance expectancy, effort expectancy, social influence and facilitating conditions.