• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.626-630
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• 2019

After several significant nuclear accidents, public attitudes toward nuclear energy technologies and facilities are considered to be one of the essential factors in the national energy and electricity policy-making process of several nations that employ nuclear energy as their key energy resource. However, it is difficult to explore and capture such an attitude, because the majority of prior studies analyzed public attitudes with a limited number of respondents and fragmentary opinion polls. In order to supplement this point, this study suggests a big data analyzing method with K-LIWC (Korean-Linguistic Inquiry and Word Count), sentiment and query analysis methods, and investigates public attitudes, positive and negative emotional statements about nuclear energy with the collected data sets of well-known social media and network services in Korea over time. Results show that several events and accidents related to nuclear energy have consistent or temporary effects on the attitude and ratios of the statements, depending on the kind of events and accidents. The presented methodology and the use of big data in relation to the energy industry is suggested as it can be helpful in addressing and exploring public attitudes. Based on the results, implications, limitations, and future research areas are presented.

• Journal of Distribution Science
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• v.21 no.7
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• pp.117-129
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• 2023

Purpose: With the number of COVID-19 cases declining and generational differences among how people use mobile apps, including health service apps, the goal of this research is to identify and analyze the factors that affect people's attitudes when using the Halodoc health service app during the third year of the pandemic. Research design, data, and methodology: This study proposes a quantitative analysis method based on PLS-SEM modeling. This study has used a questionnaire survey to collect randomized data from 268 Halodoc users from generations Y and Z in Jakarta. Results: Both the Y and Z generations believe there is a significant usefulness factor in the attitude toward using the application. The start of the pandemic period demonstrates that the urgency of using health service applications is no longer determined by performance expectations, effort, or social panic, but rather by these applications' usability. Conclusions: Even though a health service application is no longer considered an urgent service or a priority need, attitudes, and behaviors in using it emphasize the aspect of long-term benefits. These findings supplement other considerations and understandings in application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in explaining attitudes and intention behaviors.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.69-91
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• 2012

The purpose of the study is to investigate the effects of direction of comments about online reviews and the credibility of web sites on brand attitudes toward restaurants. Also, the study compared two study results using Korean and Chinese on-line users to assess the feasibility of the application of on-line marketing developed in Korea to Chinese internet user contexts. The results show that the credibility of web sites and the direction of comments influence the brand attitude as hypothesized. Overall, the results from two country consumer groups are similar. However, there are unique results including the significant interaction effects between the direction of comments and the credibility of web sites only for Chinese on-line users on the brand evaluation tasks and for Korean on-line users on the purchase intention. The cultural value might cause these different results across the nations.

• Nuclear Engineering and Technology
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• v.49 no.4
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• pp.850-854
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• 2017

Public acceptance of nuclear power is important for the government, the major stakeholder of the industry, because consensus is required to drive actions. It is therefore no coincidence that the governments of nations operating nuclear reactors are endeavoring to enhance public acceptance of nuclear power, as better acceptance allows stable power generation and peaceful processing of nuclear wastes produced from nuclear reactors. Past research, however, has been limited to epistemological measurements using methods such as the Likert scale. In this research, we propose big data analysis as an attractive alternative and attempt to identify the attitudes of the public on nuclear power. Specifically, we used common big data analyses to analyze consumer opinions via SNS (Social Networking Services), using keyword analysis and opinion analysis. The keyword analysis identified the attitudes of the public toward nuclear power. The public felt positive toward nuclear power when Korea successfully exported nuclear reactors to the United Arab Emirates. With the Fukushima accident in 2011 and certain supplier scandals in 2012, however, the image of nuclear power was degraded and the negative image continues. It is recommended that the government focus on developing useful businesses and use cases of nuclear power in order to improve public acceptance.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.57-65
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• 2021

Purpose: To analyze students' attitudes toward English-Medium Instruction (EMI) classes for nursing students. Methods: From January 23 to January 30, 2020, a survey was conducted using a web-based survey program on student attitudes, satisfaction, and improvement measures for EMI classes. 216 responded to the survey, giving a response rate of 63.7%. Results: The item with the highest score on the attitude toward EMI lectures was 'EMI classes will be of great help to student's future'. The item 'I will try to speak English with my classmates outside of the EMI class if possible' showed the lowest score. Students answered that they need an appropriate educational environment for the smooth operation of EMI classes, fewer students per class and support for group studies

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.1-19
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• 2023

This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.

• The Mathematical Education
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• v.63 no.2
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• pp.335-350
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• 2024

This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

• Journal of Distribution Science
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• v.19 no.12
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• pp.71-81
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• 2021

Purpose: This study to seek to answer two research questions in distribution science: what photo decoration cues in online grocery stores could be identified? Could photo decoration cues significantly effect on the affective perception and behavioral intention of consumers? Research design, data, and methodology: his study conducted a laboratory experiment with a 2×2×2 factorial design to validate the proposed research model and test our proposed hypotheses. Research design, data and methodology: Two stages experiments were adopted in this study, among 360 voluntaries who have had an experience of online grocery shopping, 331 valid data had been collected and analyzed using MANOVA and PLS-SEM algorism. Results: (1) both reflective surface and complementary goods layout lead to visual appeal and shopping enjoyment; (2) contrast color usage positively impacts on visual appeal while does not significantly affect shopping enjoyment; (3) consumers' affective responses positively impact attitudes toward product and store which in turn lead to purchase intention and store loyalty. Implications for research and practice are discussed. Conclusions: Using the media richness theory, visual rhetoric theory and visual design literature as the theoretical foundation, the study provides a solid foundation to comprehend the impact of photo design artifacts on consumers' affective responses when online consumers shopping online for fresh grocery.

• Journal of Fashion Business
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• v.18 no.6
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• pp.157-173
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• 2014

The purpose of this research is to investigate the effects of fashion companies' micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. In this research, the technology acceptance model (TAM) was used as the research framework, and innovativeness, self-efficacy, and perceived enjoyment variables were included in the model. Through an online survey, 195 respondents participated in this study. The results were as follows: fashion innovation and self-efficacy have a significant positive effect on perceived usefulness, as well as ease of use. These two factors have a significant positive effect on perceived enjoyment. Furthermore, and most significantly, this perceived enjoyment has a significant effect on the consumer's attitude toward the company, and intention to purchase the fashion company's products.

• Human Ecology Research
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• v.61 no.1
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• pp.73-90
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• 2023

This study aimed to identify ways to implement pre-parent education for adolescents in regular classes at school. This was achieved by investigating whether the contents of the 2015 revised curriculum high-school technology and home economics textbooks reflected the goals of pre-parent education. The main texts and activities of chapters with 'preparing for parenthood' in the title from 12 high-school technology and home economics education textbooks were analyzed with respect to the three pre-parent education goals of developing perceptions and attitudes toward parenthood, learning parenting knowledge and skills, and reinforcing parental capacity. The results were as follows. First, textbook contents and activities reflected the three goals of pre-parent education in a balanced manner. Second, both the contents and activities of textbooks tried to motivate students to perceive parenthood and parenting through reflection on their relationship with their own parents. Third, because the textbooks encouraged students to consider parenthood and parenting, they acknowledged the importance of undertaking pre-parent education to reinforce their parental capacities. Using such textbooks in regular technology and home economics classes is expected to provide students with an opportunity to consider parenthood and shape their perceptions and attitudes accordingly, thereby allowing adolescents to prepare themselves for parenthood and become good parents.