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Journal articles on the topic 'Technology acceptance'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Greenfield, Geoffrey, and Fiona H. Rohde. "Technology Acceptance." International Journal of Information Systems and Social Change 2, no. 2 (2011): 26–36. http://dx.doi.org/10.4018/jissc.2011040102.

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During the past decade there has been an increasing interest in research within Not-for-Profit (NFP) organisations. Research has indicated that there are a number of characteristics that make NFPs different from other organisations. This paper considers whether workers within the NFP sector have different attitudes to technology and whether such differences affect the measures used within technology acceptance models. An exploratory study of workers within two NFPs indicated that workers within the service delivery functions of NFPs have different attitudes to technology than workers within th

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2

Harz, Mario, and Anton Vesper. "Acceptance of Technology?" Energy Procedia 40 (2013): 312–19. http://dx.doi.org/10.1016/j.egypro.2013.08.036.

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Momani, Alaa M., Mamoun M. Jamous, and Shadi M. S. Hilles. "Technology Acceptance Theories." International Journal of Cyber Behavior, Psychology and Learning 7, no. 2 (2017): 1–14. http://dx.doi.org/10.4018/ijcbpl.2017040101.

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Studying the acceptance and usage of technologies has become one of the most significant fields in software engineering domain. In order to explain the individuals' usage behavior towards technologies, many theories and models have been proposed over the years. This research paper focuses on reviewing a group of ten technology acceptance theories and models by studying their structure, evolution stages, and their strengths and weaknesses points. These theories were analyzed and classified into two main types depending on their development method and scientific field which they were developed i

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4

Hu, Paul J., Patrick Y. K. Chau, Olivia R. Liu Sheng, and Kar Yan Tam. "Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology." Journal of Management Information Systems 16, no. 2 (1999): 91–112. http://dx.doi.org/10.1080/07421222.1999.11518247.

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5

Falco, Enzo, Constantinos Stylianou, Gilberto Martinez, Reinout Kleinhans, Sara Basso-Moro, and Haris Neophytou. "User Acceptance of Technology." International Journal of Electronic Government Research 16, no. 3 (2020): 85–104. http://dx.doi.org/10.4018/ijegr.2020070105.

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This article investigates how training public officials from two municipalities in Spain and Cyprus with new technologies affects three dependent variables: level of understanding of the technological innovation being introduced, its perceived usefulness, and its perceived ease-of-use. The tests to determine the impact of training were carried out by means of a self-constructed questionnaire within a repeated measure experimental design. The results demonstrate that the three variables are indeed positively affected by the training sessions to users from both municipalities. Consequently, trai

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Ma, Qingxiong, and Liping Liu. "The Technology Acceptance Model." Journal of Organizational and End User Computing 16, no. 1 (2004): 59–72. http://dx.doi.org/10.4018/joeuc.2004010104.

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Nagadeepa C., Sibi Shaji, and B. Rose Kavitha. "Technology Acceptance of HRIS." International Journal of Information Communication Technologies and Human Development 11, no. 4 (2019): 35–45. http://dx.doi.org/10.4018/ijicthd.2019100103.

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In the digital era, people are shifting from human involvement to digital involvement. They expect everything do be done in single touch. In this fast world, digital technology has grown so much that people use the information technology in all their activities. This article focuses on the digital technology used for human resource management in B-Schools. It is understood that there are plenty of HRIS tools that are available to be used in the educational institutions. For the current study, the researchers focused the study towards the B-Schools in India. The respondents were employees of va

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Marshall, Thomas E., Terry A. Byrd, Lorraine R. Gardiner, and R. Kelly Rainer Jr. "Technology Acceptance and Performance." Information Resources Management Journal 13, no. 3 (2000): 33–45. http://dx.doi.org/10.4018/irmj.2000070104.

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Yarbrough, Amy K., and Todd B. Smith. "Technology Acceptance among Physicians." Medical Care Research and Review 64, no. 6 (2007): 650–72. http://dx.doi.org/10.1177/1077558707305942.

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KOWITLAWAKUL, YANIKA. "The Technology Acceptance Model." CIN: Computers, Informatics, Nursing 29, no. 7 (2011): 411–18. http://dx.doi.org/10.1097/ncn.0b013e3181f9dd4a.

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11

Künemund, Harald, and Nele Marie Tanschus. "The technology acceptance puzzle." Zeitschrift für Gerontologie und Geriatrie 47, no. 8 (2014): 641–47. http://dx.doi.org/10.1007/s00391-014-0830-7.

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12

Prihatono, Felix Andrian, and Tri Joko Wahyu Adi. "Building Information Modeling (BIM) Technology Acceptance Analysis Using Technology Acceptance Model (TAM)." IPTEK Journal of Proceedings Series, no. 1 (September 19, 2021): 81. http://dx.doi.org/10.12962/j23546026.y2020i1.10854.

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de Andrés-Sánchez, Jorge, Mario Arias-Oliva, Mar Souto-Romero, and Jaume Gené-Albesa. "Assessing the Acceptance of Cyborg Technology with a Hedonic Technology Acceptance Model." Computers 13, no. 3 (2024): 82. http://dx.doi.org/10.3390/computers13030082.

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Medical implantable technologies, such as cochlear implants or joint prostheses, have been commonly used since the late 20th century. By contrast, the market for this type of technology is expanding when the purpose is not medical, even though it is more marginal. This study tests a technology acceptance model for the latter type of insideable technology based on an extension of the technology acceptance models TAM and TAM2 proposed for hedonic technologies by van del Heijden. So, the behavioral intention of insertables is explained by the perceived usefulness and perceived ease of use, as wel

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Khoi, Bui Huy. "Technology Acceptance Model in the Managing Information System." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 869–76. http://dx.doi.org/10.5373/jardcs/v12sp7/20202177.

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Moodley, Maglin. "Revisiting the technology acceptance model: the influence of colonial mentality on technology acceptance." South African Journal of African Languages 44, no. 2 (2024): 169–79. http://dx.doi.org/10.1080/02572117.2024.2333148.

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Pierce, Tamra P., Christopher Willy, Robert Roncace, and John Bischoff. "Extending The Technology Acceptance Model: Policy Acceptance Model (PAM)." American Journal of Health Sciences (AJHS) 5, no. 2 (2014): 129–44. http://dx.doi.org/10.19030/ajhs.v5i2.8963.

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Many have studied the process of acceptance and adoption of new ideas and technologies as they are introduced into society. While several models have been used to assess various influencing factors, the Technology Acceptance Model (TAM) is one that is most widely accepted. This model examines people’s acceptance of new technologies based on variables that directly correlate to how the end user views the product. This paper introduces the Policy Acceptance Model (PAM), an expansion of TAM, which is designed for the analysis and evaluation of acceptance of new policy implementation. PAM includes

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Ibrahim, R., N. S. Leng, R. C. M. Yusoff, G. N. Samy, S. Masrom, and Z. I. Rizman. "E-learning acceptance based on technology acceptance model (TAM)." Journal of Fundamental and Applied Sciences 9, no. 4S (2018): 871. http://dx.doi.org/10.4314/jfas.v9i4s.50.

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Herlina, Destriana Widyaningrum, and Giovanny Theotista. "Tipologi Financial Technology Paylater: Technology Acceptance Model (TAM)." Formosa Journal of Multidisciplinary Research 2, no. 1 (2023): 207–16. http://dx.doi.org/10.55927/fjmr.v2i1.2417.

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The use of paylater fintech is currently mushrooming among the public because it makes it easier for people to shop online. The typology of fintech paylaters is based on the Technology Acceptance Model (TAM) method to determine the contribution of the magnitude of the Technology Acceptance Model (TAM) aspect in explaining the use of fintech paylaters. The study used a sample of 101 fintech paylater respondents who live in Jakarta and data analysis techniques used Tructural Equation Modeling (SEM-AMOS) with the First Order Confirmatory Factor Analysis (CFA) technique. The results showed that th

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Hernandez, Blanca, Julio Jimenez, and M. Jose Martin. "Business Acceptance of Information Technology." International Journal of Enterprise Information Systems 4, no. 4 (2008): 62–79. http://dx.doi.org/10.4018/jeis.2008100105.

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Kamide, Hiroko. "Social Acceptance on Mobility Technology." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 2EV—099–2EV—099. http://dx.doi.org/10.4992/pacjpa.82.0_2ev-099.

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Yuniarto, Dwi, Muhammad Agreindra Helmiawan, and Esa Firmansyah. "Technology Acceptance in Augmented Reality." Jurnal Online Informatika 3, no. 1 (2018): 10. http://dx.doi.org/10.15575/join.v3i1.158.

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22

Hornbæk, Kasper, and Morten Hertzum. "Technology Acceptance and User Experience." ACM Transactions on Computer-Human Interaction 24, no. 5 (2017): 1–30. http://dx.doi.org/10.1145/3127358.

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23

Teo, Timothy, and Pita Jarupunphol. "Dhammic Technology Acceptance Model (DTAM)." Journal of Educational Computing Research 52, no. 1 (2015): 136–51. http://dx.doi.org/10.1177/0735633114568859.

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24

Hejazinia, Roya, and mojgan sharifzadeh mod. "Mobile Health Technology Acceptance Modeling." Academic Journal of Research in Economics and Management 2, no. 5 (2014): 16–25. http://dx.doi.org/10.12816/0006558.

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25

Taherdoost, Hamed, Nachaat Mohamed, and Mitra Madanchian. "Navigating Technology Adoption/Acceptance Models." Procedia Computer Science 237 (2024): 833–40. http://dx.doi.org/10.1016/j.procs.2024.05.172.

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26

Mathieson, Kieran, Eileen Peacock, and Wynne W. Chin. "Extending the technology acceptance model." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 32, no. 3 (2001): 86–112. http://dx.doi.org/10.1145/506724.506730.

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27

Gleiner, J. Arthur. "Clinician Acceptance of Information Technology." Journal of Integrated Care 2, no. 3 (1998): 86–89. http://dx.doi.org/10.1177/146245679800200305.

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28

O'Connell, Megan, Kristen Haase, Allison Cammer, Shelley Peacock, Theodore Cosco, and Lorraine Holtslander. "Older Adults’ Acceptance of Technology During the Pandemic: The COVID Technology Acceptance Model (TAM)." Innovation in Aging 5, Supplement_1 (2021): 1012. http://dx.doi.org/10.1093/geroni/igab046.3628.

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Abstract During the pandemic, technology-mediated communication was one of the few ways to maintain social and community connections. We explored how the pandemic impacted older adults’ use and appraisal of technology. In a random sample of 407 older adults (M age = 81.1 years; range 65-105 years) almost half (n = 161) reported they changed how they used technology to virtually connect with others during the pandemic, and 78 of these reported that this was new technology for them. We adapted the technology acceptance model (TAM) for the pandemic, the COVID-TAM, and describe how physical distan

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29

Ismael, Hadi Khalil, and Aree Mohammed Ali. "Investigating University Student’s Acceptance of Information and Communication Technology: Applying the Technology Acceptance Model." ISSUE EIGHT 5, no. 1 (2021): 65–72. http://dx.doi.org/10.25079/ukhjss.v5n1y2021.pp65-72.

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Building on the technology acceptance model (TAM), this study examines university student’s acceptance of information and communication technology (ICT) as a learning resource outside of the classroom. With the aim of looking more deeply into this subject, the study applied the technology acceptance model to recognize the effect of perceived usefulness on the student’s actual use of ICT with the existence of perceived usefulness as a moderator variable. Data were collected from 376 students from Duhok Polytechnic University in the Kurdistan Region of Iraq using a questionnaire survey consistin

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Broman Toft, Madeleine, Geertje Schuitema, and John Thøgersen. "Responsible technology acceptance: Model development and application to consumer acceptance of Smart Grid technology." Applied Energy 134 (December 2014): 392–400. http://dx.doi.org/10.1016/j.apenergy.2014.08.048.

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31

Oktaria, Rini, Sunny Angelia Naibaho, Iskandar Muda, and Sambas Ade Kesuma. "Factors of acceptance of e-commerce technology among society: integration of technology acceptance model." Brazilian Journal of Development 10, no. 1 (2024): 118–30. http://dx.doi.org/10.34117/bjdv10n1-008.

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This paper discusses the factors of Acceptance of E-commerce technology among society. It uses Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines to articles published in 2015-2023. This study involved an analysis of 150 papers from various database sources, and 26 papers were selected as data references for this study. As the results, there are three main quantitative and qualitative analysis which being observed as part of the Technology Acceptance Model (TAM) integration to examine the factors involved in the acceptance of e-commerce technology among soci

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Chen, Chien-fei, Xiaojing Xu, and Laura Arpan. "Between the technology acceptance model and sustainable energy technology acceptance model: Investigating smart meter acceptance in the United States." Energy Research & Social Science 25 (March 2017): 93–104. http://dx.doi.org/10.1016/j.erss.2016.12.011.

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33

Hatami Kaleshtari, Mohammad, Ileana Ciobanu, Petre Lucian Seiciu, Andreea Georgiana Marin, and Mihai Berteanu. "Towards a Model of Rehabilitation Technology Acceptance and Usability." International Journal of Social Science and Humanity 6, no. 8 (2016): 612–16. http://dx.doi.org/10.7763/ijssh.2016.v6.720.

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34

Sutrisno, Sutrisno, Diva Riza FAHLEFI, and Sarbullah Sarbullah. "PENERIMAAN FINANCIAL TECHNOLOGY BERBASIS TECHNOLOGY ACCEPTANCE MODEL (TAM)." JURNAL STIE SEMARANG 12, no. 1 (2020): 33–46. http://dx.doi.org/10.33747/stiesmg.v12i1.395.

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Tecnology Acceptance Model (TAM) developed by Davis which is a successful and acceptable model in order to predict the acceptance of a new technology. In the last two years, in Indonesia there has emerged a financial technology service that was designed with the open platform principle, OVO. OVO is a service engaged in the field of financial technology, is a smart application designed to make payment services and transactions online, and has penetrated into all business expansion. The purpose of this research is to find out. the effect of perceived ease, perceived risk and attitude of use on t

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35

Kirlidog, Melih, and Aygul Kaynak. "Technology Acceptance Model and Determinants of Technology Rejection." International Journal of Information Systems and Social Change 2, no. 4 (2011): 1–12. http://dx.doi.org/10.4018/jissc.2011100101.

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Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an ins

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Agarwal, Anant, Woong Je Sung, Laura Marlino, et al. "Wide Band Gap Semiconductor Technology for Energy Efficiency." Materials Science Forum 858 (May 2016): 797–802. http://dx.doi.org/10.4028/www.scientific.net/msf.858.797.

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The attributes and benefits of wide-bandgap (WBG) semiconductors are rapidly becoming known, as their use in power electronics applications continues to gain industry acceptance. However, hurdles still exist in achieving widespread market acceptance, on a par with traditional silicon power devices. Primary challenges include reducing device costs and the expansion of a workforce trained in their use. The Department of Energy (DOE) is actively fostering development activities to expand application spaces, achieve acceptable cost reduction targets and grow the acceptance of WBG devices to realiz

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Vuković, Marija, Snježana Pivac, and Duje Kundid. "Technology Acceptance Model for the Internet Banking Acceptance in Split." Business Systems Research Journal 10, no. 2 (2019): 124–40. http://dx.doi.org/10.2478/bsrj-2019-022.

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AbstractBackground: In today’s dynamic environment, electronic banking and electronic commerce have become an inevitable aspect of financial services, so the question of acceptance and use of this kind of technology arises.Objectives: The aim of this research is to determine whether the motivation for using the Internet banking in the city of Split, Croatia, can be explained by perceived ease of use and perceived usefulness as the main elements of the technology acceptance model.Methods/Approach: For the purposes of the research, a survey analysis was applied to the sample of 282 working resid

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Hussain, Nida, and Nazmul Hasan Chowdhury. "Using technology acceptance model for acceptance of FinTech in Bangladesh." International Journal of Internet Technology and Secured Transactions 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijitst.2021.10042636.

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39

Zaman, Sobia. "Consumer Acceptance of Online Banking: Application of Technology Acceptance Model." IBT Journal of Business Studies 14, no. 2 (2018): 41–52. http://dx.doi.org/10.46745/ilma.jbs.2018.14.02.04.

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This research reports the findings of a study concerning the acceptance of online banking in Pakistan. It investigates customer's adoption within the context of Pakistan online banking services whereby the research frame work is based on the extension of Technology Acceptance Model. The research model included factors that would influence the acceptance of online banking. The frame work dimensions includes online banking usage, quality of internet connection, perceived enjoyment, perceived usefulness, perceived ease of use and security & privacy. A survey was conducted to gather the data f

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Chowdhury, Nazmul Hasan, and Nida Hussain. "Using technology acceptance model for acceptance of FinTech in Bangladesh." International Journal of Internet Technology and Secured Transactions 12, no. 3 (2022): 250. http://dx.doi.org/10.1504/ijitst.2022.122104.

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41

Fuentes-Martínez, Ana. "From a Technology Acceptance Model to a Practice Acceptance Model." Ars Educandi 17, no. 17 (2020): 61–66. http://dx.doi.org/10.26881/ae.2020.17.03.

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The paper delves into the problems of analyzing the introduction of programming in primary and secondary education from the perspective of the traditional Technology Acceptance Model. Instead, a Practice Acceptance model is suggested in which the focus is shifted from digital devices to the everyday practices of curriculum implementation.

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Fuentes-Martínez, Ana. "From a Technology Acceptance Model to a Practice Acceptance Model." Ars Educandi 17, no. 17 (2020): 61–66. http://dx.doi.org/10.26881/ae.2020.17.03.

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The paper delves into the problems of analyzing the introduction of programming in primary and secondary education from the perspective of the traditional Technology Acceptance Model. Instead, a Practice Acceptance model is suggested in which the focus is shifted from digital devices to the everyday practices of curriculum implementation.

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43

Baiq Dwi Zulianti Kurrotaa'yun, Noor Alamsyah, Helmina Andriani, and Santi Ika Murpratiwi. "Analyzing Hotel Owners Acceptance of Tiket.com Using Technology Acceptance Model." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 13, no. 2 (2024): 215–24. http://dx.doi.org/10.23887/janapati.v13i2.76188.

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Lombok, a captivating island in West Nusa Tenggara, faces tourism challenges due to the COVID-19 pandemic, causing a decline in visits and revenue. Senggigi, known for its picturesque beaches, experienced a drastic drop in hotel occupancy. Focusing on post-pandemic recovery, the aim of this research is to investigate the adoption of Tiket.com applications by hotel owners in Senggigi, utilizing the Technology Acceptance Model (TAM) with a Partial Least Squares (PLS) approach. This research method is using a quantitative methodology, the study involves 50 respondents from 20 hotels, distributing

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Sagnier, Camille, Emilie Loup-Escande, Domitile Lourdeaux, Indira Thouvenin, and Gérard Valléry. "User Acceptance of Virtual Reality: An Extended Technology Acceptance Model." International Journal of Human–Computer Interaction 36, no. 11 (2020): 993–1007. http://dx.doi.org/10.1080/10447318.2019.1708612.

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45

Ha, Sejin, and Leslie Stoel. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model." Journal of Business Research 62, no. 5 (2009): 565–71. http://dx.doi.org/10.1016/j.jbusres.2008.06.016.

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Rosita, Tita, and Rhini Fatmasari. "Acceptance of Distance Learning Technology in Technology-Based Learning Management." Al-Tanzim: Jurnal Manajemen Pendidikan Islam 7, no. 4 (2023): 1191–201. http://dx.doi.org/10.33650/al-tanzim.v7i4.5945.

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The Technology Acceptance Model (TAM) describes the factors that influence the acceptance and adoption of technology by individuals. In education management, TAM is used to understand how educators, students, and administrative staff respond to the use of technology in the educational process. The application of the Technology Acceptance Model in education management is to help educational institutions plan, implement, and support the use of technology more effectively, taking into account psychological factors and user perceptions. The variables influencing technology acceptance are Perceived

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Waluyani, Risma Candra, Bambang Subroto, and Bambang Purnomosidhi. "Effect of External Factors of Technology Acceptance Model Toward Technology Acceptance of Online Travel Agent." Jurnal Economia 14, no. 2 (2018): 158–76. http://dx.doi.org/10.21831/economia.v14i2.20745.

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Abstract: Effect of External Factors of Technology Acceptance Model Toward Technology Acceptance of Online Travel Agent. This study aimed to identify and analyse internal factors and external factors which affect the intention of Universitas Brawijaya students to use online travel agent service. Samples were selected by using nonprobability sampling technique and convenience sampling method. The instrument of this study was online questionaires whose result were analyzed by SEM-PLS. This study found that personal innovativeness and self-efficacy affected how students perceive that online trave

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48

Kim, Nurim, and Yong-Mi Jin. "Effect of Beauty Industry’s Blockchain Technology Characteristics on Acceptance Intention Based on Technology Acceptance Model." Journal of the Korean Society of Cosmetology 29, no. 4 (2023): 912–24. http://dx.doi.org/10.52660/jksc.2023.29.4.912.

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Applications for blockchain technology span various industries beyond cryptocurrency, which is a popular topic in recent times due to high-profile events. Blockchain technology has several inherent characteristics such as variety, security, trustworthiness and decentralization. Due to such characteristics beauty industry is also embracing blockchain technology to conduct safer transactions, boost consumer confidence and more. However not enough research has been done on consumer’s intention to accept blockchain technology in beauty industry. Adapting to latest technological developments is cru

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49

de Andrés-Sánchez, Jorge, and Jaume Gené-Albesa. "Explaining Policyholders’ Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (2023): 1217–37. http://dx.doi.org/10.3390/jtaer18030062.

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Conversational robots powered by artificial intelligence (AI) are intensively implemented in the insurance industry. This paper aims to determine the current level of acceptance among consumers regarding the use of conversational robots for interacting with insurers and seeks to identify the factors that influence individuals’ behavioral intention to engage with chatbots. To explain behavioral intention, we tested a structural equation model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. It was supposed that behavioral intention is influenced by performance expe

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Hou, Jianchao, and Han Wang. "Analysis of Corporate Acceptance of Hydrogen Energy Technology Based on the Extended Technology Acceptance Model." Energies 18, no. 4 (2025): 1013. https://doi.org/10.3390/en18041013.

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Hydrogen holds an important strategic position in the energy systems of many countries. Many studies have analyzed the acceptance of hydrogen energy technology from the public’s perspective, but few have examined it from the corporate perspective. This paper establishes a technology acceptance model and employs structural equation modeling to investigate the factors affecting the acceptance of hydrogen energy technology within enterprises. After conducting questionnaire surveys among employees of energy enterprises, electric power companies, and new energy vehicle manufacturers, the results in

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