• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.491-502
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• 2022

Purpose: The purpose of this study is to find factors affecting the acceptance intention of autonomous mobility service by applying the unified technology acceptance theory(UTAUT). Methods: The measurement items for each component of this study were modified to meet the purpose of the study by referring to previous studies related to mobility based on UTAUT, which has secured validity and reliability in many studies. The collected data through the online survey were analyzed using hierarchical regression analysis. Results: It was found that performance expectation, effort expectation, social influence, and facilitation conditions for autonomous mobility service had a positive effect on acceptance intention. Also, in this relationship, it was confirmed that driving experience moderated the relationship between performance expectation and acceptance intention, and between effort expectation and acceptance intention. Conclusion: Understanding the public's acceptance of autonomous mobility services, and suggesting strategic implications for the direction of service development to companies that are pushing to enter the autonomous mobility service market.

• 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.

• 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.

• The Journal of Industrial Distribution & Business
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• v.8 no.7
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• pp.39-49
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• 2017

Purpose - There are common factors both in Technology Readiness and Acceptance Model and Technology Paradox Theory which can be put together and made in one unified model. The unified model can provide the following merits. First, the unified model is simple but contains factors of the models. Second, the unified model can clarify the process of technology acceptance of common consumers. Third, the unified model can provide the opportunities to analyze the negative sides of new technology, thus find ways to improve the level of acceptance by general consumers. Research design, data, and methodology - The 450 questionnaires were handed out to people around Seoul and 421 were collected. Except insincere and wrong-marked ones, 402 were used to analyze. SPSS program was used to analyze. Factor analysis, regression analysis was conducted to test the hypotheses. Results - By analyzing sub-factors of both models and binding the common factors in one category, we accomplish one model. And we tested the model by empirical method. The results show that the results from the unified model are almost same as the results from the two models. In other words, the unified model works. Conclusions - Explaining one state of affair by two different method is in some sense distracting attention. By devising a new model including factors of both models, we can explain the affair more straightforward and efficiently. At first the technology acceptance model was devised to explain the technology users in an organization and the following tests and revised models were for the similar purposes. However, as on-lone activities including contracts have been expanded and become important, consumers as the technology uses have emerged as first factor to consider. In accordance models to explain this situation has been suggested. The model suggested in this research is one of the models but it has the following merits. That is, it is simple but has strong explanation power, it can clarify the process of technology acceptance of common consumers by containing negative sides of consumer conception, and thus, it can provide the opportunities to analyze the negative sides of new technology, also find ways to improve the level of acceptance by general consumers.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.57-71
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• 2020

The purpose of this study is to extend Davis's Technology Acceptance Model(TAM) to verify the intention of use fintech factors in which usefulness, easiness, accessibility, affordability, innovation, and uncertainty for middle-aged and older adult. Data was derived from the 2017 Driving and Mobility Survey of Older Adult Korean, which was collected from 457 middle-aged and older adult aged 55 and over in Seoul and Gyeonggi-do Province. Then, structural equation was used to verify the fintech technology acceptance factors of the middle-aged and older adult. The results showed that fintech technology acceptance factors of middle-aged and older adult were verified as usefulness, easiness, innovation, and uncertainty. Namely, the higher usefulness, easiness and innovation resulted in higher the intention to use fintech. Also, the lower the uncertainty resulted in higher the intention to use fintech. This study has implication for fintech, a representative technology of the Aging-Friendly Finance Industry, to identify the technology acceptance factors by expanding the Technology Acceptance Model(TAM) for middle-aged and older adult.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.1-42
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• 2009

In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.417-425
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• 2012

The purpose of this paper is to examine factors influencing e-Learning acceptance intention through extended Technology Acceptance Model(TAM) applying TAM, the motivation theory, and the social response theory. To do this, this paper proposes and analyzes a theoretical model consisting of factors such as perceived sociability, perceived ease of use, perceived usefulness, perceived enjoyment, and e-Learning acceptance intention. Our findings are revealed as following: First, perceived usefulness and perceived enjoyment have positive effects on e-Learning acceptance intention. Second, perceived ease of use has positive effects on determinants of e-Learning acceptance intention. Third, perceived sociability not only has direct influence on e-Learning acceptance intention but also has indirect influence carried by perceived usefulness.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.47-70
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• 2008

File sharing technology is the most popular methodology through which consumers gain music from online. However, music file sharing and free downloads of music have caused terrible recession of traditional music industry. The purpose of this paper is to develop the underlying theory for understanding the acceptance of music file sharing technology and empirically test our theoretical model. We develop extended TAM model and explore the influencing factors on the user acceptance of music file sharing technology. Our study delivers a better understanding on consumers’ attitudes towards music downloads. By understanding the fundamental characteristics of technology that makes consumers enthusiastic, traditional music industry will gain managerial implications.

• Journal of Fashion Business
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• v.8 no.6
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• pp.103-112
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• 2004

A Politician Appearance Acceptance Model (PAAM model) was formed and designed based on an analysis of how the electorate would accept a female politician. The PAAM model evaluated factors which influenced the voter's view of the female politician based on appearance. Causative factors were assessed that impacted acceptance based on appearance and analyzed whether voting was influenced by the appearance image; appearance image preferences for a female politician included the classic, dramatic, romantic and natural images. Through validations, the appearance image and competency had a causative factor that contributed to the acceptance of the politician image. The Classic Image demonstrated the strongest and most important image among the appearance images. As voters were more interested in the appearance image of a female politician, more emphasis and weight was on the appearance image during the voting selection process.

• Korea Science and Art Forum
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• v.30
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• pp.217-230
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• 2017

The purpose of this study is to develop a theoretical model identifying how consumers accept a fashionable technology product. A systematic review of 39 influential TAM studies focusing on theory development in the context of information technology results in three tendencies, which become backbone of the model of fashionable technology acceptance. A subsequent review of the nature of fashion fleshes out the backbone with detailed propositions in the more specific context of fashionable technology. The model of fashionable technology acceptance includes key propositions of Theory of Reasoned Action, in which internal beliefs consist of functional, aesthetic and symbolic values, and other factors, such as technology features (i.e., hardware specification, software specification, brand, and price factors), environmental conditions (i.e., technical infrastructure and user occasion), individual differences (i.e., age, gender, experience, personality, aesthetic sense, fashion innovativeness, and income), and social influence (i.e., subjective norms, social reputation, and cultural difference). Implications, limitations, and suggestions for future research are also discussed.