• Journal of Service Research and Studies
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• v.9 no.2
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• pp.55-76
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• 2019

This study conducted empirical analyses to investigate the factors affecting the intention to use smart home services. Based on the previous relevant studies, the characteristics of smart home service were found to influence on the intention to use smart home service, and four variables(ubiquitous connectivity, reliability, context awareness, and security) concerning the service characteristics could be derived. And referring to the technology acceptance model(TAM), the updated TAM, IS success model, and the theory of reasoned action(TRA), three variables such as perceived ease of use, perceived usefulness and subjective norm were also likely to affect the intention to use smart home service, and the user innovativeness was inferred to play a role of moderating variable. In order to examine the research model and the hypotheses which could describe the relationship of the above mentioned variables, this study surveyed 447 people who were currently using or would use the smart home services, and then tested the hypotheses for 436 valid responses. The results of hypotheses testing showed that reliability, context awareness, and security have a significant effect on perceived usefulness and on perceived ease of use. However, it was found that ubiquitous connectivity significantly affected perceived usefulness but did not affect perceived ease of use. And perceived ease of use, perceived usefulness and subjective norm had significant effect on the intention to use smart home services. Also, user innovativeness as moderating variable was found to significantly influence on the magnitude of the relationship between ubiquitous connectivity and perceived usefulness and on that between reliability and perceived ease of use. This can be interpreted as the findings implying that innovative smart home-service users are likely to feel the smart home-services more useful than ordinary users when the degree of ubiquitous connectivity is higher, and are likely to perceive the use of smart home-services to be easier than ordinary ones when the degree of reliability is higher.

• Culinary science and hospitality research
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• v.19 no.1
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• pp.85-102
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• 2013

The purpose of this study is to examine the effect relation of the external variables of the RFID for eco-agricultural products, that of the external variables on TAM approachableness and usefulness, that of TAM approachableness on usefulness, that of TAM as approachableness and usefulness on trust and behavior intention, and the effect of trust on the behavior intention. The subjects of the actual analysis are the ordinary consumers aged 20 and over living in Seoul and Gyeong-gi Province and have the experience of purchasing eco-agricultural products. Total 300 copies of questionnaire were distributed for 14 days from September 24, 2012 until October 7, 2012, and total 278(92.7%) copies of survey materials were used for the final statistical analysis data except some found too strong unequal distribution of the response value or the value unknown at present. In the analysis results of this study, by examining the effects of the external variables of the RFID for eco-agricultural products on TAM's accessibility and usefulness and verifying the causal relationship between TAM's accessibility and consumers' trust and behavioral intent, this study has a sufficient value as an initial study on the RFID for eco-agricultural products. Thus, the results of this in-depth study show that producers and distributors maintaining and providing with safer eco-agricultural products food directly influence service companies' visible achievements.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.2
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• pp.93-106
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• 2013

Cloud computing services have became an hot issues in business fields while the IT-related global company such as Amazon, MS, and Google took part in. The cloud computing makes it possible to share in the form of outsourcing of hardware and software through the Internet, to build a distributed computing environment via multiple terminals, and to reduce the cost using open source. Such a cloud computing services have not shown any significant growth in Korea yet compared to other countries. Therefore, in this study focusing on public cloud computing services, it is intended to analyze the determinants of public cloud computing services using the technology model. Thus, for users using public cloud services, we conducted a questionnaire survey from the beginning of January 2013 to the end of February 2013. And we derived a research model based on the Technology Acceptance Model(TAM). As a result of this study, it shows that personal aspects significantly impacts on the perceived usability, service aspects, systems aspects, and the intent of the technology acceptances. System aspects significantly effect on the intent of technology acceptances. Perceived usability significantly effects on the service aspects and the systems aspects. The main factors effecting on the intent of the technology acceptances are system aspects and perceived usability in order. And it shows that the personal aspects decreases the intent of the technology acceptances.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.289-297
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• 2020

The purpose of this study is to verify the effect of university students's innovativeness on adoption intention of academic convergence. For this objectives, the Structural Equation Model(SEM) was designed and analysed by using Lisrel. This study developed a research model, based upon TAM, to analyse the factors: personal innovativeness, social expectation, perceived usefulness and adoption intention of academic convergence. The main results are follows as: first, personal innovativeness showed a significant positive direct effect on adoption intention of academic convergence, and indirect effect through perceived usefulness on it. Second, through perceived usefulness, there was indirect effect between social expectation and adoption intention of academic convergence. The SEM in this study showed the statistical significance, which the model fit was χ²=22.638(df=29, p=.793). Based upon the result of analyses, the study suggested to develop the subject and non-subject educational program through which students experience innovativeness and usefulness for academic convergence. Especially, the change of the role and the task of the curriculum of liberal arts was.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.372-384
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• 2011

The purpose of this study is empirically analyzing the effects of external factors(user knowledge, service characteristics, security), perceived risk, trust, ease of use, and usefulness on continuous customer acceptance in Internet banking. To achieve the goal, we develop the extended Technology Acceptance Model(Ex-TAM) based in the theoretical backgrounds of the Technology Acceptance Model(TAM). To test the new model(Ex-TAM), path analysis is performed by AMOS 4.0 package as a statistical tool. The finding indicate that 4 factors(service characteristics, ease of use, usefulness, trust) are significant. However, 2 factors(security, perceived risk) are not significant, user knowledge is partly significant.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.173-189
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• 2007

This study attempted to analyze factors influencing S-DMB adoption. The theoretical background of this study is 'Technology acceptance model.' Based on this theory and literature review this study set 5 hypotheses. For this research, a survey was conducted by online research lab. from October 25 to 31. Data were collected from 350 subjects. Complete and useable questionnaires were received from 303 respondents. The result and conclusion are as follow: 'Instant accessibility,' 'service quality,' 'Cost,' 'advertising,' 'perceived easy of use' are significant factors influencing 'perceived usefulness'. 'Compatibility,' is a significant variable influencing 'perceived easy of use'. However, 'self efficacy' and 'innovativeness' are not significant factors influencing 'perceived easy of use.' The result of the analysis showed that most of the hypotheses were verified the same as preceding studies, but some results were different with the result of preceding studies. Therefore, it implies the characteristics of S-DMB different with other IT systems and mass media that were research subject mostly before, and it influences the result of this study as well.

• 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.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.181-192
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• 2009

The purpose of this study was to explain the attitudes and acceptance toward the smart clothing adopted by the TAM(Technology Acceptance Model). A theoretical model on consumer acceptance of the commercialized smart clothing was constructed on the basis of previous studies and a review of literature and tested the path analysis. For the data analysis, statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using AMOS 5.0 package were employed. The results from a web-based survey of 557 online consumers indicate that the TAM by Davis(1989) adopted by perceived value according to market price was able to explain consumer acceptance of smart clothing substantially well. Using structural equation modeling, eight of the six hypotheses investigated in this study were supported. The results of the testing of the hypothesis were as fellows: First, perceived ease of use had a side effect on attitude through perceived usefulness. In addition, the attitude was found to affect consumer acceptance. Second, perceived usefulness was found to affect consumer attitude on perceived value, however, had not significant effect on consumer acceptance toward smart clothing. Third, perceived value was found to affect both consumer acceptance and attitude toward smart clothing. Finally, the attitude toward smart clothing had a direct effect on the consumer acceptance.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.6
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• pp.60-68
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• 2015

Recent proliferation of advanced technologies such as wireless communication, mobile, sensor technology and so on has caused significant changes in a traffic environment. Human beings, in particular drivers, as well as roads and vehicles were advanced on information, intelligence and automation thanks to those advanced technologies; Intelligent Transport Systems (ITS) and autonomous vehicles are the results of changes in a traffic environment. This study proposed considerations when designing a simulation model for future transportation environments, which are difficult to predict the change by means of advanced technologies. First of all, approximability, flexibility and scalability were defined as a macroscopic concept for a simulation model design. For actual similarity, calibration is one of the most important steps in simulation, and Physical layer and MAC layer should be considered for the implementation of the communication characteristics. Interface, such as API, for inserting the additional models of future traffic environments should be considered. A flexible design based on compatibility is more important rather than a massive structure with inherent many functions. Distributed computing with optimized H/W and S/W together is required for experimental scale. The results of this study are expected to be used to the design of future traffic simulation.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.207-215
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• 2006

In this paper, we attempt to investigate the factors influencing usage and acceptance of ubiquitous services in campus, based on the Technology Acceptance Model(TAM). This study conceptualizes and develops three dimensions of u-Services, such as real time service, information security, customization service, and tests the relationship among u-Services, perceived usefulness and perceived ease of use, and intention to use. Data were collected from 162 respondents in K-University and research model was tested using multiple regression analysis. As a consequence, this study found that customization service is an important factor which is influenced to perceived usefulness and perceived ease of use.