• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.143-150
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• 2015

Social network services can be defined as an individual web page which enables online, human-relationship building by collecting useful information and sharing it with specific or unspecific people. Recently, as the social network services(SNS) such as Twitter and Facebook have been paid attention in many fields of the society. SNSs are also one of the fastest channels to get news which people may not be able to see on TV or newspaper. The number of people who feel they are benefiting from social network services are increasing dramatically. A number of researches about SNS are underway. The study based on the Technology Acceptance Model empirically investigates the relationship between characteristics of SNS (system, service, information, and emotional) and user satisfaction of SNS. The study also analyzes how the relationshipa between SNS characteristics, satisfaction and user acceptance are moderated by country type of SNS users and inclination toward SNS acceptance. To achieve these research purposes, the study conducted various statistical analyses using questionnaire of the Korean and Chinese SNS users. The results of the study are followings. First, SNS characteristics have a positive effect to the user satisfaction. Second, SNS satisfaction have a positive effect to the user acceptance. Third, the relationship between SNS characteristics and user satisfaction is moderated by the country type of SNS users and inclination toward SNS acceptance. The study results could provide some implications to researchers who have interest in studying SNS, also could help business managers to operate and develop their SNS site more effectively.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.715-737
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• 2018

The introduction of autonomous vehicles will bring about not only changes in existing automotive ecosystem but also widespread changes in our lives, society, economy, and culture. Social acceptance is one of important influencing factors for the commercialization of autonomous vehicles. The purpose of this study analyzes influencing factors in the acceptance of autonomous vehicles in terms of consumers. Autonomous vehicles in this study were defined as PAV (Partial Autonomous Vehicles) and FAV (Full Autonomous Vehicles) by drivers' intervention or not. The survey was conducted over 20 years old including not only drivers but also non-drivers. The results showed that the factors affecting acceptance of PAV and FAV were different. Factors directly related to drivers influenced PAV acceptance while external environmental factors influenced FAV acceptance. This study is proved that is should need different strategies between PAV and FAV for increasing those acceptance

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.421-429
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• 2019

This study seeks to discuss the effects of social support, acceptance of disability, and the sense of economic stability on the part of parents of children with developmental disabilities who are receiving treatment and training at a child development center has on family function. A survey was given to 252 parents of children who were using the child development center in S city. In the relationship between social support and family function, the mediating effects of the disability acceptance and the social support, the disability acceptance and the family function were used to verify the adjustment effect of the economic stability. The results of this study are as follows. First, as a result of checking the moderating effect of economic stabilization, social support, family function, disability acceptance and family function did not show any effect on economic stability. Second, as a result of verifying whether the relationship between social support and family function is mediated by disability acceptance, disability acceptance partially mediated the relationship between social support and family function. This study is significant in that it provided basic data for the development of a program to help children with developmental disabilities function properly.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.142-152
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• 2017

Previous multi-cultural education on elementary school students has focused on improving negative perceptions on multi-culture rather than enhancing morality among student, thus the outcomes seem to be not successful as intended. The purpose of this study is to examine the relationship between multi-cultural acceptance and pro-social behavior and to investigate the role of empathy as mediator in the relationships between these two variables. A convenience sample of 457 elementary school students in I city of Kyeonggi-do was employed. Results showed that multi-cultural acceptance was significantly associated with pro-social behavior and empathy had partially mediated the relationship between multi-cultural acceptance and pro-social behavior controlling for gender, grade, multi-cultural education. Findings suggest that multi-cultural education need to be incorporated into moral education course for improving pro-social behavior and empathy of students.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.247-272
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• 2012

Social Network Service(SNS) is a kind of advanced Internet service that acts as personal media. This study was intended to find out the structural relationships among factors affecting the usage of social network services by extending the Technology Acceptance Model(TAM). For this purpose, the variable 'Flow' was first integrated into the TAM in order to understand the internal motivations of users. And then the external factors of SNS usage were derived from the perspective of users, contents, and media side of SNS, and finally the dependent variable was set with the intention of sustainable use. Then these factors were carefully integrated into a structural model. We expect the findings of this study will be very helpful for the internet marketing professionals, SNS developers, and the others.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.129-139
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• 2024

In digital marketing, the strategic use of emojis in social media advertising, particularly on the Xiaohongshu app, significantly influences consumer acceptance and purchase behavior. This study examines the impact of emoji-laden advertisements and the role of brand metaphorical warmth on consumer perceptions. Employing a tailored questionnaire, the research explores how emojis affect brand advertisement reception, filling a gap in empirical research on emoji advertising effectiveness. Findings indicate that emojis, when used judiciously, enhance consumer acceptance and contribute to a positive brand perception. However, excessive use may undermine trust. Brand metaphorical warmth emerges as a crucial factor, suggesting that emojis can effectively convey warmth, fostering a deeper emotional connection with consumers. These insights offer practical implications for refining social media marketing strategies, advocating for a balanced approach to emoji usage in advertisements to optimize engagement and influence consumer behavior.

• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.181-199
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• 2018

The purpose of this study is to verify the extended technology readiness and acceptance model according to the characteristics of technology for the continuous use motive of SNS users. In particular, we conducted a comparative study on the differences in technology readiness and acceptance model between countries through the empirical analysis of the users of SNS in Korea and China with different technological and cultural environments. The results of this study are as follows; First, Positive technology readiness index has a positive effect on performance expectancy, effort expectancy, social influence, and facilitating conditions, which are variables of UTAUT. Positive technology readiness also has a positive effect on Enjoyment, which is added in this study. Second, negative technology readiness index has negative effect on performance expectancy and social influence, which are variables of UTAUT. In addition, negative technology readiness index has not a significant effect on enjoyment, which was added in this study. Finally, the relationship between technology readiness index, motivation for technology acceptance, and continuously intention to use has a partially different influence on the Korean and Chinese users. Based on the results of this study, this study suggested academic implications and practical implications.

• Korea Trade Review
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• v.45 no.2
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• pp.157-176
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• 2020

Mobile payment services are evolving into a variety of integrated platforms that greatly affect the lives of consumers. In addition, the importance of mobile payment services is being used as a means of payment in cross-border e-commerce. Accordingly, although a number of related studies have been conducted, most of the studies are based on the technology acceptance model. This study analyzes consumer acceptance intention of mobile payment services by applying consumption value theory. Four dimensions were derived from the theory of consumption value: functional value, emotional value, social value and situational value. With this, we identified the impact on consumer acceptance of mobile payment services. The analysis was performed using a structural equation model. Researchers collected 300 copies of the questionnaire from Chinese consumers and used it for analysis. Empirical analysis shows that functional value, emotional value, social value and situational value are all increasing consumers' willingness to accept mobile payment services. In addition, only social values were showing differences in their influence on the acceptance of mobile payment services with age. This study contributes to the development of the relevant field in that few studies describe mobile payment services by applying consumption value theory.

• Journal of Korean Clinical Nursing Research
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• v.25 no.3
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• pp.265-274
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• 2019

Purpose: The purpose of this study was to identify the effects of psychological acceptance and social support on posttraumatic growth in stomach cancer patients. Methods: The questionnaires were administered from January 14 to February 11, 2015 to 123 subjects who had stomach cancer surgery six months prior. SPSS statistics 21.0 software was used to analyze the data for t-test, ANOVA, Pearson's correlations, Scheffé test and multiple regression analysis. Results: The results of this study are as follows: The major factors related to posttraumatic growth included gender (t=-2.72, p=.007), age (r=-.21, p=.016), having a religion (t=-3.40, p<.001), perceived importance of religion (r=.43, p<.001), seriousness of cancer diagnosis (r=.25, p=.005) and impact of cancer diagnosis (r=.32, p<.001). There were significant relationships between psychological acceptance (r=.18, p=.041) and social support (r=.32, p<.001) on posttraumatic growth. Significantly influential factors of posttraumatic growth were age (β=-.19, p=.021), perceived importance of religion (β=.41, p<.001) and family support (β=.29, p<.001), which together accounted for 36.5% of the variance in posttraumatic growth. Conclusion: The result of current study indicated that age, importance of religion, and family support influenced posttraumatic growth. Based on the findings of this study, developing nursing intervention programs focusing on increasing posttraumatic growth in stomach cancer patients is recommended.