• Asia pacific journal of information systems
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• v.14 no.3
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• pp.93-120
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• 2004

The current study investigates major factors which influence the acceptance of mobile internet services based on the theoretical backgrounds of the technology acceptance model(TAM) and the flow theory. This research extended the Davis' TAM model(1989) by including the flow concept as another major factor towards the intention to use the mobile device in order to explain the acceptance of divers mobile services. According to the marketing studies(Ghani & Desphande, 1994; Novak, Hoffman & Yung, 2000), flow is regarded a psychological state in which one is absorbed in something he or she is doing, and is known to be widely adopted in explaining one's acceptance in the area of game, sports, and even hobby. This study developed a research model to explain the use of mobile services employing usefulness, ease of use and flow as major research variables, and collected 221 survey responses from the high school students who had experiences with such mobile services as game and audio file download. The results of the current research indicates that usefulness and flow influence the intension to use mobile services, but the effect of ease of use did not appear significant to the intention to use. It was also found that flow affects both usefulness and ease of use, and then ease of use next influences usefulness.

• The Journal of Economics, Marketing and Management
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• v.8 no.1
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• pp.1-11
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• 2020

Purpose - In the aviation industry, we will investigate the impact of users' acceptance of technology on their usage behavior and find out the factors that affect their acceptance of technology. We will expand the prior study to find out the impact of the self-service technology of Incheon Airport. Research design, data, and Methodology - The thesis was conducted on people using self-service technology at Incheon International Airport from July to August 2019. Part 307 of the valid questionnaires were used for this final analysis. The collected data were used to perform frequency, factor, reliability, and multiple regression analyses using the SPSS statistical package. Result - Individual aspects of external variables, service aspects, and systems aspects have been shown to affect usability and perceived ease of use. Usability and convenience have been shown to serve as intermediaries for users' technological acceptance. Conclusion - The perceived convenience and usefulness of Incheon International Airport has been shown to affect self-service users, while convenience and usefulness have been shown to serve as intermediaries for technology acceptance purposes. In other words, raising expectations for convenience, rapid processing, benefits and so on will have a positive impact on the intent to accept.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.49-79
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• 2014

The adoption of technology has always been of interest to academicians and practitioners of the field of Management Information System. This is so because without proper and adequate adoption, technology-no matter how beneficial or advanced it may be-will be of little value to users. Numerous researches, such as the researches of the Technology Acceptance Model (TAM) or the Unified Theory of Acceptance and Use of Technology (UTAUT), had been conducted to understand the human nature in association with the adoption or rejection of technologies that have bombarded the users. The coming of smart technologies (i.e., smart phones and devices), however, seems to have fundamentally changed the environment for adoption. The ubiquity combined with mobility of technology, especially when it comes to mobile apps, seem to make the old PC era of two-stage-pre and post-adoption models obsolete. A new model of adoption that identifies the determinants of technology acceptance and continuance is needed for the smart age. To this end, this paper undertakes an empirical study, by analyzing 229 users of Social Networking Service (SNS) mobile apps, to identify the role of user experience on the multi-stage adoption of technology, and provides results that User Experience (UX) plays the crucial role of bridging the separate stages of pre and post adoption of technologies. The paper concludes by providing practical implications of the new model as it relates to mobile apps and technologies, and recommendations for further studies to get a better understanding of technology adoption in the smart age.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.172-186
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• 2019

As ICT technology develops rapidly and social and consumer interactions require more knowledge of the technology, the interest for baby boomers' ICT technology acceptance is increasing as they age. However, previous studies have limitations as they lack a systematic and in-depth understanding of this phenomenon in which the emerging elderly population embraces emerging technology. To overcome this limitation, this study carried out a phenomenological study on baby boomers' ICT technology acceptance. In addition, since existing studies have just simply listed variables or proved the relationship between a few variables, this study aimed to find the relationship between variables by analyzing the data obtained through semi-structured interviews. Through this procedure, it was aimed to construct conceptual model which illustrates the relationships between variables so that understanding the phenomenon of baby boomers' acceptance of ICT technology with a holistic view could be possible. The ten variables suggested by Lee & Coughlin (2015) that cover multiple sides of baby boomers' technology acceptance were used. As a result, we found that there is a sequential relationship between these variables and different agents can be related to each variable in sequence. Also, from an ecological perspective, we analyzed baby boomers and their surroundings to find agents involved in this phenomenon.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.20-35
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• 2022

COVID-19 vaccines have been developed worldwide in order to prevent the spread of coronavirus infection-19, but some people tend to refuse to be vaccinated against COVID-19. Therefore, we will investigate how people's understanding of COVID-19 vaccines affects their attitude to accept COVID-19 vaccination information. Therefore, the purpose of this study is to examine the determinants that affect the acceptability of COVID-19 vaccine through the informational characteristics of COVID-19 vaccine and the individual health belief theory. This study conducted an offline survey of 215 adult men and women living in Seoul and Gyeonggi-do Province during the period from September 1 to September 10, 2022, and we have conducted a final analysis using a total of 212 questionnaires. The results of our study were as follows. First, among the information characteristics of COVID-19 vaccine, it was confirmed that the amount of information had a significant positive effect on susceptibility, severity, and barriers in health belief theory, respectively. Second, among the information characteristics of COVID-19 vaccine, it was found that the quality of information had a significant positive effect on the susceptibility in health belief theory. Third, susceptibility and barriers in the health belief theory significantly had a positive effect on voluntary attitude and involuntary attitude in acceptance attitude, respectively. And finally, it was found that the severity of the health belief theory had a positive effect on the involuntary attitude in acceptance attitude. The results of this study suggest that policy efforts are needed to make accurate information about COVID-19 vaccine known to the people.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.32 no.1
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• pp.49-60
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• 2024

This study used the Unified Theory of Acceptance and Use of Technology(UTAUT) model to find factors that influence consumer acceptance intention toward Vertiport, a physical ground support technology required to implement AAM services. The analysis showed that among the four independent variables, Vertiport's social influence and facilitating conditions have a significant impact on future Vertiport usage behavior. At this point, the public has not yet had actual experience with Vertiport, so there is a limitation of considering it as a future concept based on speculation and measuring acceptance by actual behaviors related to its use (inquiries, information gathering, interest, etc.). Research on acceptance and attitudes toward new transportation methods should be further activated and developed along with future service development. Through the results of this study, we aim to understand the initial public acceptance of Vertiport as a ground-based infrastructure in the AAM field (or UAM) and propose strategic implications for the direction of service development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4803-4811
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• 2010

As the role that information system and technique plays in hotel firms is critical, the quality of IS and IT is considered as one of most important factors that determine success of hotel firms. This study aims to examine the influences of the quality of IS/IT exerted on the user's level of acceptance of the HIS and the operational performance on both personal and organizational levels. Based on the data collected from 256 employees in reservation departments of 3 Seoul and 3 Busan deluxe hotels, the study tested the applied TAM model. The results indicated that the quality of IS/IT affects the user's acceptance level (eg., satisfaction and perceived usefulness), and such acceptance behavior affects reservation employees' performance on both personal and organizational levels. Managerial implications are also presented for researchers and practitioners of hotel firms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3972-3985
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• 2016

Organizations have been implementing mobile applications that actually connect to their backend enterprise applications (e.g. ERP, SCM, etc.) in order to increase the enterprise mobility. However, most of the organizations are still struggling to fully satisfy their mobile application users with the enterprise mobility. Even though it has been regarded as the right direction that the traditional enterprise system should move on, the studies on the success model for mobile enterprise applications in user's acceptance perspective can hardly be found. Thus, this study focused not only to redefine the success of the mobile enterprise application in user's acceptance persepective, but also to find the impacts of the factors on user's usage behavior of the mobile enterprise applications. In order to achieve this, we adopted the Technology Acceptance Model 2 (TAM2) as a model to figure out the user's behavior on mobile applications. Among various mobile enterprise applications, this study chose mobile ERP since it is the most representing enterprise applications that many organizations have implemented in their backend. This study found that not all the constructs defined by Davis in TAM2 have a significant influence on user's behavior of the mobile-ERP applications. However, it is also found that most social influence processes of TAM2 influence user's perception of the degree of interaction by mobile-ERP applications.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.1
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• pp.89-104
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• 2012

As the generalization of using computer and the internet, most people, who would decide the acceptance of new information technology (IT), may consider the current systems which have been used so far. The objective of this study was to analyze the relationships between technology acceptance model (TAM) and the switching costs which may incur during switching from the current system into another on. For this purpose, this study suggested the hypotheses, in which continuity cost and setup cost, two types of switching costs in IT adoption, would influence perceived usefulness and perceived ease of use respectively. Moreover, the moderation effects of system types, hedonic system and utilitarian system, on the relationships between switching costs and TAM, were also suggested as the hypotheses. In order to prove the validity of the hypotheses, two groups were surveyed. Before surveying, to the one group who were believed to be a user of 'Cyworld', a new blog service, Naver Blog, was introduced. Similarly, to another group, Google Docs was introduced. The analysis by Partial Least Square (PLS) approach showed that most hypotheses in this study were statistically supported.

• 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.