• Journal of Technology Innovation
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• v.23 no.4
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• pp.151-175
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• 2015

The general public is a key stakeholder in the science and technology domain. However, traditional approaches require substantial efforts and resources to analyze how does the general public understand science and technology issues. We applied the topic modeling, a form of text clustering, to the texts about the nuclear power which were posted on an online space in order to explore the general public's thoughts on the issue. This study investigates the extent to which macro-level events influence understandings of the general public on the science and technology issues and weather these changes in understandings are sustained over time. It examines the possibility of applying topic modeling in narrowing a perception gap between the general public and the experts through a near-real-time monitoring of the public interests and perceptions about the science and technology issues.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6767-6773
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• 2014

The study examined the effects of trunk pattern exercise in proprioceptive neuromuscular facilitation (PNF) integrated transcranial direct current stimulation (tDCS) on the muscle activity and balance, walking speed in stroke patient. Thirty-one patients with hemiplegia due to stroke were assigned to either the experimental group (n=15) or control group (n=16). Both groups performed trunk pattern training in PNF for 3 times per week over a 6 week period for 20 minutes per session. The experimental group performed additional tDCS for 20 minutes. A comparison of the two groups after the intervention showed that the exercise program in experimental group had a more significant on the gastrocnemius, tibialis anterior and balance than the control group (p<.05). This showed that trunk pattern exercise in PNF integrated tDCS had a positive effect on the functional recovery of the lower extremity in stroke patients.

• The Journal of Information Technology
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• v.5 no.1
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• pp.13-28
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• 2002

This study examines the relationships between the adoption intention and ill results/"digital divide" of informatization. It is very important to enhance the ability to use the information around the country today. Government invested large sums in informatization. As a result, we became a leading country in the information and communication technologies (ICTs). But the speedy growth in information society enlarges the gab between 'information haves'and 'information have-nots', which results in decreasing the efficiency of informatization. Now, we have to consider the idea of "information welfare policy" to approach the problems of "information poor"which refers to those deprived of opportunities to access ICTS and use of the Internet. This paper shows that we can not reach the information welfare society without the solution of these problems, and which are obstacles to progress in informatization. It is hoped that the results from this study bridge and close so called "Digital Divide" within society and create the impartial information welfare society.e impartial information welfare society.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.327-340
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• 2021

The purpose of this study aims to empirically verify about the impact of the customer satisfaction on the characteristics factors(presence, empathy, responsiveness, and interaction) on the customer satisfaction of 'Asia Model Festival', which was heldis an as untacted fashion and beauty performance that was successfully conducted in Seoul duringinyear 2020. and tThe regulatory effect of innovation resistance in the relationship of the characteristic factors and the customer satisfaction was also reviewed. The analysis showed that the characteristic factors have a positive effect on customer satisfaction, and the innovation resistance is found to control the relationship between interaction, empathy, and the customer satisfaction of the characteristic factors by the subfactor. By identifying the characteristic factors that affect the customer satisfaction of the un-tacted(Zzero Ccontact) visitors, which are expanding due to COVID-19, and studying the effect of controlling the innovation resistance, this study provides a basis for knowing what un-tacted(Zzero Ccontact) visitors need and what services they want to receive, and it presents practical implications and provides basic data for relevant research.

• 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.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.447-460
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• 2017

The purpose of this study is to investigate the factors affecting consumer resistance of smart watches, focusing on consumer groups. SPSS 19.0 was used to conduct a descriptive analysis and multi regression analysis of the data. This study is based on the questionnaire data of 407 consumers. The results of this study are as follows. First, the relative advantage was identified as a factor in reducing consumer resistance across all gender and age groups. Second, complexity has been identified as a factor that increases the consumer resistance of female consumers, and consumer groups in their 20s and 40s. Third, esthetics was found to reduce consumer resistance in men, women, and the consumer group in their 20s. Fourth, subjective norms were identified as a factor reducing consumer resistance in women and in consumer groups in their 20s and 30s. Fifth, the risk of privacy was identified as a factor in increasing consumer resistance in men and the consumer group in their 40s. The results of this study can be helpful to understand consumer resistance to smartwatches.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.261-275
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• 2012

An increasing number of mountaineers are recently creating diverse consumer needs for mountaineering garments, thereby leading to a production of smart mountaineering garments with diverse-functions. Smart mountaineering garments are increasingly adding to comfort and safety, boosting their market size. This study researched on the Technology Acceptance Model (TAM) to examine factors that influence the intention of consumers to purchase buy mountaineering garments. For that purpose, 641 people aged 20-61 years who experienced in mountaineering were surveyed online. An extended TAM was designed by adding new variables such as fashion involvement and garment involvement associated with the characteristics of clothing products to the variables such as self-efficacy sense, technological innovativeness, perceived enjoyment. The findings of the study suggested that self-efficacy sense influenced perceived usefulness, perceived easiness of use, and perceived enjoyment, while garment involvement and fashion involvement influenced the perceived easiness of use and the perceived usefulness, respectively. Also, the perceived easiness of use influenced perceived usefulness and perceived enjoyment, while the perceived usefulness and perceived enjoyment directly influenced the intention of purchase. Based on the findings of this research, this study seeks to determine factors variables of smart garments purchase intention, and to explore measures to enhance such purchase intention, thereby offering working implications for developing smart mountaineering garments.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.11-28
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• 2015

Due to the mobil-centered lifestyle following the wider use of Smartphones, Mobile services, including mobile banking and mobile shopping business have increased rapidly. Also with the emergence of "Fintech", which finance combined with technology, IT based financial market is going to be highly promising. In this trend, interests mobile credit cards are increasing. But diffusion of the mobile credit card services is still in the low level. In this situation, to identify factors that influencing satisfaction and continuous usage intention on mobile credit card, this study applied innovation diffusion theory (IDT) and post acceptance model (PAM). To conducting this research, survey data were collected, and we used SmartPLS to analyze survey data. As a result of the study, perceived easy of use, image, compatibility and facilitation positively affect user's satisfaction in mobile credit cards and that such satisfaction have a positive impact on continuous intention to use. The facilitation influences user satisfaction more strongly for those who use mobile credit cards more than plastic credit cards. Also, perceived of use and image influence user satisfaction more strongly for those who use plastic credit cards more than mobile credit cards. It is expected that this study can be a guideline for credit card service providers and policy makers to invigorate mobile credit card business. Also it worths as a early-stage research on Fintech-related studies.

• Journal of Science and Technology Studies
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• v.7 no.1
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• pp.33-66
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• 2007

In the post-catchup era, the probability of technology risk are growing according to technology innovation activities with high uncertainty are increasing. Risk acceptance and management are appearing as a more important policy issue. This paper examines the technology risk as a political and social sight and the character of technological risk in the post-catchup era. In the post-catchup, new technology and policy are more undergone trial and err. In particular, we need new approach and policy countermeasures to cope with risky environment and overcome catchup legacy. Accordingly, Korea risk management is needed reshaping of risk management system, increment of risk communication, risk management according to technology type, precautionary approach, bounded trial and err strategy, knowledge accumulation and learning reinforcement.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.1-28
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• 2012

This study conducted a qualitative analysis on the Korea's nuclear energy sector in 2030 through scenario-based strategic foresight method. Specifically, the relationships between environmental influencing factors of the future nuclear energy sector was examined from a multi-dimensional perspective on the basis of STEEP analysis and network analysis. In addition, scenario planning method was used with key uncertainty factors (KUF) to create three predictable strategic scenarios including optimistic, business as usual, and pessimistic. Common strategies that need to be urgently pursued as well as the maximum risk avoidance strategies for each scenario were also presented. This study further identified energy pricing, global economic trend, competitiveness in nuclear technology, and marketing capability as key uncertainty factors in the future nuclear energy industry sector. In order to furnish effective export strategy in the future nuclear energy sector, it was also suggested that government policy should adopt following measures as top priorities: securing nuclear safety technology, educating nuclear engineers, securing nuclear resources such as uranium, increasing nuclear capability and so on. The implications and limitations of this study were then discussed based on research findings.