• Title/Summary/Keyword: Technology Adoption and Use

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Exploring Various Factors on Special Teacher's Adoption Intention towards Robot-based Education (특수교사의 로봇활용교육에 대한 수용의도에 영향을 미치는 요인 탐색)

  • Kim, Tae-Jun;Lee, Tae-Su
    • The Journal of the Korea Contents Association
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    • v.18 no.7
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    • pp.38-48
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    • 2018
  • The purpose of this study was to identify various factors that could possibly influence special teachers' adoption intention towards robot-based education and to see how well those factors predict special teachers' adoption intention. To do this, questionnaire items were selected and reconstructed based on preceding research relating to Technology Acceptance Model(TAM). The survey participants consisted of 623 special school teachers, representing various types of special students and levels of their schools. Questionnaires with unfaithful responses were excluded, and a total of 590 questionnaires were analyzed. Data analysis was carried out through Exploratory factor analysis and stepwise multi-regression analysis. According to the results of study, factors that influence special teachers' acceptance intention towards robot-based education are perceived ease of use, perceived usefulness, personal innovation, and social influence. Also, the most decisive factors affecting special teacher's acceptance intention were perceived usefulness and perceived ease of use. These factors directly influenced special teachers' acceptance intention.

The Effect of Acceptance of Airport Self-Service Technology Based on Technology Acceptance Integrated Model(UTAUT) for Motivation of Utilization Behavior and Hedonic Motivation - Including the Moderator Effect of Personal Innovation - (기술수용통합모델(UTAUT)에 기반한 공항의 셀프서비스 기술수용이 이용 행동의도 및 쾌락동기에 미치는 영향 - 개인혁신성의 조절효과를 포함하여 -)

  • Lee, Su-Mi;Park, Hak-Soon;Lee, Jong-Sung;Kim, Kee-Woong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.26 no.2
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    • pp.108-115
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    • 2018
  • This study was undertaken to explore the determinants affecting behavioral intention to adopt airport self-service. Based on the theoretical model incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM), in this study, a revised and extended model was proposed in order to better explain Airport Self-service adoption. Moreover, the aim was to determine the mediating effect of hedonic motivation on Airport Self-service adoption. The proposed model was empirically tested using survey data provided by 323 respondents and was analyzed using a multiple regression analysis.

Study on Factors Affecting Perceived Value and Intention to Use the Metaverse: Focusing on Differences between Metaverse Experienced and Non-Experienced (메타버스의 지각된 가치와 사용의도에 영향을 미치는 요인에 관한 연구: 메타버스 유경험자와 무경험자의 차이를 중심으로)

  • Mina Lee;Minjung Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.587-594
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    • 2023
  • The purpose of this study is to examine the factors influencing the intention to use the Metaverse from various angles based on the Extended Technology Acceptance Model and Value-based Adoption Model. Specifically, we examined whether there is a difference in perception of the Metaverse and in factors affecting the intention to use the Metaverse between the Metaverse experienced and non-experienced. For this purpose, the variables were classified into the technical characteristics of the Metaverse (interactivity, content quality), perceived benefits (perceived usefulness, perceived enjoyment), and perceived sacrifices (perceived risk, perceived complexity) and a survey was conducted with university students. The findings of this study indicate that the perceived interactivity, usefulness, and enjoyment of the Metaverse had a major impact on the intention to use the Metaverse for those without Metaverse experience, whereas enjoyment of the Metaverse had the greatest impact on the intention to use the Metaverse for those with Metaverse experience. Based on the study results, we provided marketing strategy implications for continuous growth and development of the Metaverse industry.

Factors affecting adoption of Internet Banking: A case study from India

  • Malhotra, Pooja;Kassim, Normalini Md;Ramayah, T.
    • Asia-Pacific Journal of Business
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    • v.5 no.2
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    • pp.13-24
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    • 2014
  • The objective of this research is to find out the factors affecting adoption of Internet banking in India. The data is based upon a survey of 150 bank customers using a convenience sampling technique with the aid of a structured self-administered questionnaire. The research model was analyzed using Partial Least Squares (PLS) analysis. The recommended procedures have been tested which is measurement model and structural model. Perceived Usefulness, Perceived Ease of Use, Perceived Risk, Image, Results Demonstrability, Perceived Behavioral Control and Subjective Norm were influence intention to use Internet banking. However, Perceived Ease of Use, Perceived Credibility and Computer Self Efficacy were not influence intention to use Internet banking. The findings of this study are expected to be of great use to the bank marketers. An understanding of the factors identified in this study allows bank managers to direct efforts and resources in the most effective and efficient way to increase bank business in the long run and encourage their bank customer's to adopt Internet banking. Moreover, this paper contributes to the empirical literature of diffusion of financial innovations, particularly Internet banking in a developing country, such as India.

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IoT Adoption by the Young Consumer: An Extended ASE Perspective

  • Arif Mahmud;Mohd Najwadi Yusoff;Mohd Heikal Husin
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.857-889
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    • 2022
  • Home theft and burglary are prevalent in Dhaka city. Internet of things (IoT), in contrast, is commonly recognized as among the most advanced home security systems. However, the factors that attract young people to use IoT for household security have yet to be examined. Consequently, the purpose of this article is to validate the attitude-social influence-self-efficacy (ASE) model with personal innovativeness and perceived trust. We collected data from Dhaka citizens aged 15 to 24 using a purposive sample technique and 370 valid responses were chosen for the study. According to the analysis, all of our proposed hypotheses were found significant with a 73.6% variance. Furthermore, the effects of attitude and social influence were shown to be the highest and lowest, respectively, and trust and innovativeness were both nearly strong main predictors of ASE. Significantly, since this is one of the few studies in the technology adoption domain using this model, a solid foundation for IoT adoption for security purposes is established.

A Study on the Intention to use the Artificial Intelligence-based Drug Discovery and Development System using TOE Framework and Value-based Adoption Model (TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구)

  • Kim, Yeongdae;Lee, Won Suk;Jang, Sang-hyun;Shin, Yongtae
    • Journal of Information Technology Services
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    • v.20 no.3
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    • pp.41-56
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    • 2021
  • New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

Factors Determining Adoption of Fintech Peer-to-Peer Lending Platform: An Empirical Study in Indonesia

  • SUNARDI, Rudy;HAMIDAH, Hamidah;BUCHDADI, Agung Dharmawan;PURWANA, Dedi
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.43-51
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    • 2022
  • Platform lending or online lending, sometimes called peer-to-peer (P2P) lending, arose due to the digital revolution to meet people's requirements for simple fund borrowing. It quickly became an alternative to other traditional lending techniques, for example, loans banks. Along with the growth of P2P lending, several academics have investigated how information technology is used in financial services, emphasizing extended application methods. This study proposes an enhanced technology acceptance model (TAM) that investigates how consumers embrace P2P lending platforms by using quality of service and perceived risk as drivers of trust, relative advantage and compatibility as drivers of perceived usefulness. For the purpose of this study, we created a questionnaire, distributed it to clients of P2P lending platforms and fintech services in general in cities in Java, Indonesia. We received 290 replies to our questionnaire. The data was analyzed to test the hypotheses using structural equation modeling (SEM). The findings show that consumers' trust, relative advantage, perceived usefulness, and perceived ease of use in P2P lending platforms substantially affect their views toward adoption. The research's findings are useful for fine-tuning platform marketing strategies and putting strategic goals into action.

An Empirical Study on Factors Affecting Customer Intention to Use Mobile Payment System in Vietnam (베트남 모바일결재시스템 수용의도에 영향을 미치는 요인에 관한 실증연구)

  • Nguyen, Phuong Y;Lee, Sung Taek;Kang, Wi Man;Kim, Jeong Suk;Gim, Gwang Yong
    • Journal of Information Technology Services
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    • v.14 no.4
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    • pp.171-184
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    • 2015
  • Nowadays, mobile commerce is having an increasingly profound impact on our daily lives, and offer interesting and advantageous new services. Mobile payment is an emerging and important application of mobile commerce in smart work, enabling users to use their mobile devices (especially mobile phones) for paying goods and services wherever they go. The appearance of m-payment is expected to provide us a convenient and bright future to enjoy. That is the common trend on over the world, but in Vietnam, although the number of smart phone users has been increasing rapidly, the adoption of m-payment system still didn't succeed completely. The research reviewed literature regarding mobile payment services, analyzed the impact of customer characteristics and system characteristics on m-payment adoption in Vietnam. To analyze the adoption behaviors of m-payment users, m-payment research model which consists of three customer-characteristics (m-payment trust, personal innovativeness, m-payment knowledge) and four m-payment system characteristics (mobility, reachability, convenience, compatibility) were studied. The results indicate that perceived usefulness, trust, and compatibility are the important predictors to the intention to use m-payment. This study will assist m-payment services suppliers in implementing appropriate business models and service strategies to successfully attract customer to use m-payment in Vietnam, allowing managers to exert appropriate investment, time, and effort for m-payment system development in designing smart working.

The Role of Trust in Adoption of e-Learning in South Korea: Comparison of High and Low Trust Levels (e-러닝 수용에 있어 신뢰의 역할: 신뢰 수준에 따른 비교)

  • Lim, Se-Hun
    • Information Systems Review
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    • v.12 no.2
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    • pp.25-45
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    • 2010
  • Today, as potential uses of the Internet continue to grow, e-learning in university an education course has taken on an important role. Accordingly, to provide good e-learning services, university officials attempt to develop high quality educational content in their courses. In this study, we investigate e-learning adoption by students using the extended technology acceptance model (TAM). In particular, trust in the online environment plays an extremely crucial role in student willingness to adopt e-learning. Therefore, in this study, we analyzed the relationships of perceived ease of use, perceived usefulness, attitude, and actual use on students' level of trust using a partial least squares (PLS) approach. This study suggests valuable implications for developing e-learning strategies and implementing e-learning.

Human-Technology Integration for Implementing Electronic Approval System in a Hospital (의료기관 전자결제시스템 도입을 위한 Human-Technology Integration에 관한 연구)

  • Park, Jae-Sung;Park, Ki-Soo
    • Korea Journal of Hospital Management
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    • v.7 no.3
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    • pp.102-120
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    • 2002
  • The purpose of study is to understand human-technology integration mechanism by using the study model that takes the core concept and motivation assumptions of technology acceptance model(TAM) into account. This study identifies three motivation mechanisms in adopting or using computer mediated communication(CMC) tool for work. The mechanism comprises with extrinsic, extrinsic motivation, and subjective norm pressure. One hospital with 430 beds and 367 human power was identified and we administered the questionnaire during their work hours. There is 32.4% response rate. The fitting index of the study model surpass the acceptable level, GFI = .980 for none-users, GFI =.986 for users, NNFI = .973 for none-users, and NNFI = .989 for users. In the case of none-users, perceived ease of use determines perceived usefulness that explains behavioral intention to use. As a result, adotpers' usage motivation is based on extrinsic motivation that does not consider their affective factor, attitude, in use of CMC. Users considers their attitudes as the mediating factor of all behavioral beliefs for using CMC continually. Thus, users are likely to depend their adoption behaviors on their affective factor. Moreover, users' behavioral intention is subject to pressures of use from other persons who are important to them, such as supervisor, director, or boss. Achieving human-technology integration in a hospital may cause cost saving and work efficiency. However, the success of information system should base on a profound understanding of employees' adoption behaviors in rejecting, adopting, using, continually using of IT, and organization culture in using IT.

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