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Journal articles on the topic 'Technology Acceptance Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 October 2024

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1

Khoi, Bui Huy. "Technology Acceptance Model in the Managing Information System." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 869–76. http://dx.doi.org/10.5373/jardcs/v12sp7/20202177.

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2

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

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

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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 (November 24, 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 the traditional constructs of TAM and adds the variables of age and ethnicity. The model is experimentally assessed using a survey of people’s attitudes toward the upcoming health care reform from 72 survey respondents. The aim is that the theory behind this model can be used as a framework that will be applicable to studies looking at the introduction of any new or modified policies.

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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 (August 2016): 612–16. http://dx.doi.org/10.7763/ijssh.2016.v6.720.

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6

Fuentes-Martínez, Ana. "From a Technology Acceptance Model to a Practice Acceptance Model." Ars Educandi 17, no. 17 (December 23, 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 (December 23, 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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8

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 (September 1999): 91–112. http://dx.doi.org/10.1080/07421222.1999.11518247.

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9

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

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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 (July 2001): 86–112. http://dx.doi.org/10.1145/506724.506730.

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Garcia Lirios, Cruz. "Exploratory Model of Technology Acceptance in The Covid-19 Era." Journal of Adolescent and Addiction Research 1, no. 1 (December 20, 2022): 01–04. http://dx.doi.org/10.58489/2836-2314/003.

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The intensive use of technologies, devices and electronic networks not only own differences between users and non - users, but also even among those who use one or the other same technology that eventually perfects and involves continuous learning abilities and knowledge processing and dissemination of information. The objective of the present study was to establish the reliability and validity of an instrument that measures the intention to search for information. From a non - experimental, exploratory and cross - sectional study with a non - probabilistic selection of 100 students at a public university, it is planned eight dimensions among navojoa.uson.mx which explain the information selectivity of 21% at full. Regarding the design limits of the study sample and the testing of the dimensions recommended in an investigation of major components in the analysis confirmatory factor.

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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 (January 30, 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 the contribution of the Technology Acceptance Model (TAM) aspects in explaining the use of the Technology Acceptance Model (TAM) was the Technology Acceptance Model (TAM) respectively, namely Perceived Usefulness of 93.7%, Attitude Toward Using of 93.7 %, Perceived Ease of Use of 92.20%, Behavioral Intention to Use of 78.5% and lastly Actual Use of 43.9%.

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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 (March 20, 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 well as social influence, as proposed in the TAM2 by Venkatesh and Davis. Additionally, the perceived enjoyment, included in the extension by Van der Heijden, is added as an explanatory factor. We applied structural equation modeling to the theoretical scheme provided by the modified TAM and performed a necessary condition analysis. Statistical analysis showed that all variables considered in the model have a significantly positive influence on behavioral intention. Likewise, the model has good properties both from the point of view of the fit obtained, since it predicts 70% of behavioral intention, and from the predictive point of view. The necessary condition analysis allows us to analyze whether the presence of some of the latent variables postulated to explain the attitude toward implantables is necessary to produce the said acceptance. Therefore, its absence is a critical aspect of expansion. We observed that perceived usefulness manifests itself as a necessary condition for behavioral intention with a medium size. Perceived ease of use and enjoyment also present a significant necessity effect size, but their strength is smaller. By contrast, the subjective norm does not have the status of a necessary variable.

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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 (January 23, 2018): 871. http://dx.doi.org/10.4314/jfas.v9i4s.50.

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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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Mohammadi, Sardar, and Omid Isanejad. "The Presentation of the Extended Technology Acceptance Model in Sports Organizations." Halabja University Journal 1, no. 2 (April 1, 2016): 967–80. http://dx.doi.org/10.32410/huj.10079.

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Sutrisno, Sutrisno, Diva Riza FAHLEFI, and Sarbullah Sarbullah. "PENERIMAAN FINANCIAL TECHNOLOGY BERBASIS TECHNOLOGY ACCEPTANCE MODEL (TAM)." JURNAL STIE SEMARANG 12, no. 1 (February 24, 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 the intention of OVO financial technology behavior in Surakarta City. The population used in this study were all users who intended to use OVO financial technology behavior in Surakarta City amounted to 140. The sample used in this study were 60 people. Data analysis methods used are descriptive statistical analysis, validity test, Classic Assumption Test, multiple regression analysis, t-test statistics and the model feasibility test and the coefficient of determination. The results of this study indicate that perceptions of ease have a positive and significant influence on the behavioral intention of OVO financial technology in the city of Surakarta with a significance of 0,000 <0.05. perceived risk has a positive and significant effect on the intention of OVO financial technology behavior in Surakarta City with a significance of 0.002 <0.05. usage attitude has a positive and significant influence on the intention of OVO financial technology behavior in Surakarta City with a significance of 0,000 <0.05. This means that all variables affect the intention of OVO financial technology behavior in Surakarta City. Seeing the results of the research conclusions, that Behavioral Intetion of the users stated that those interested in using OVO financial technology applications with the advantages offered such as free transfers

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19

Kirlidog, Melih, and Aygul Kaynak. "Technology Acceptance Model and Determinants of Technology Rejection." International Journal of Information Systems and Social Change 2, no. 4 (October 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 insight into the causes of the system disuse.

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20

Irawati, Anggit Esti, and Ehrmann Suhartono. "ANALISIS TECHNOLOGY ACCEPTANCE MODEL APLIKASI LINKAJA." Jurnal Riset Ekonomi dan Bisnis 13, no. 3 (December 30, 2020): 164. http://dx.doi.org/10.26623/jreb.v13i3.2861.

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<p>Potensi penggunaan e-money sangat besar dan menarik perhatian sebagai cara pembayaran alternatif di seluruh dunia. Pemerintah melalui Bank Indonesia menggerakkan masyarakat untuk melakukan Gerakan Nasional Non Tunai (GNNT). Namun, hanya lapisan masyarakat tertentu yang sudah terbiasa menggunakan transaksi dengan <em>e-money</em>. Sebagian masyarakat beranggapan bahwa transaksi pembayaran menggunakan <em>e-money</em> masih terdapat banyak kekurangan. Penelitian ini bertujuan untuk menguji <em>Technology Acceptance Model</em> (TAM) yaitu <em>perceived ease of use</em> dan <em>perceived usefulness</em>, selain itu juga menambahkan <em>perceived risk</em> untuk mengetahui pengaruh terhadap <em>attitude toward using</em> dan <em>actual use</em> terhadap penggunaan aplikasi LinkAja. Metode analisis menggunakan <em>Structural Equation Modeling</em> (SEM) dengan alat analisis SmartPLS. Penelitian ini dilakukan dengan metode survei dan sampel diambil menggunakan teknik <em>purposive sampling</em> terhadap responden yang menggunakan aplikasi LinkAja di seluruh Indonesia. Responden yang diperoleh sebanyak 200 responden. Hasil penelitian menunjukkan bahwa <em>perceived ease of use</em> dan <em>perceived usefulness</em> berpengaruh positif signifikan terhadap <em>attitude toward using</em> dan <em>actual use</em>. <em>Perceived risk</em> tidak berpengaruh signifikan terhadap <em>actual use</em> aplikasi LinkAja.</p>

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21

Aulawi, Hilmi. "Technology Acceptance Model for Online Transportation." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1 (February 15, 2020): 31–35. http://dx.doi.org/10.30534/ijatcse/2020/06912020.

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22

Lu, June, Chun‐Sheng Yu, Chang Liu, and James E. Yao. "Technology acceptance model for wireless Internet." Internet Research 13, no. 3 (August 2003): 206–22. http://dx.doi.org/10.1108/10662240310478222.

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23

Tarhini, Ali, Tariq Elyas, Mohammed Ali Akour, and Zahran Al-Salti. "Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model." Higher Education Studies 6, no. 3 (July 27, 2016): 72. http://dx.doi.org/10.5539/hes.v6n3p72.

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<p>The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students’ acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to include four constructs namely, Quality of work life; Social Norm; Facilitating Conditions and self-efficacy. In addition, Individual differences—namely, age, gender, and experience—are hypothesized to moderate the effects of these constructs on behavioral intention and technology use. A comprehensive understanding of this model will provide valuable insights into the factors that inﬂuence the acceptance or resistance of web-based learning system by intended users and oﬀers opportunities for future research in understanding the acceptance of technology. Further, understanding these variables is helpful for instructors to design meaningful educational activities to promote student knowledge construction and make learning more effective and appealing.</p>

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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 (June 28, 2024): 169–79. http://dx.doi.org/10.1080/02572117.2024.2333148.

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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 (September 1, 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 residents of Split. The gender and age structure of the sample was harmonized with the population to make the results more credible. In order to test the research hypothesis, logistic regression models were used.Results: The results confirmed that both elements of the technology acceptance model significantly influence the acceptance of the Internet banking in the city of Split.Conclusions: It is concluded that demographic and economic characteristics and perception of individuals affect the acceptance and use of the Internet banking in the city of Split. The results showed that both elements of the technology acceptance model influence the acceptance of the Internet banking.

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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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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 for study. Reliability, correlation and factor analysis were used to analyse the data. Results showed that quality of internet connection, amount of information on online banking and security and privacy has positive influence on online banking usage. Theoretical contributions and practical implications of the findings are discussed in the paper and suggestions for future research are proposed.

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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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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 (January 6, 2020): 993–1007. http://dx.doi.org/10.1080/10447318.2019.1708612.

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

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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 (July 27, 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 questionnaires to explore perceptions of Online Travel Agent technology adoption based on TAM variables. The result of this research is the Partial Least Squares analysis indicates that perceived ease of use significantly influences perceived usefulness, emphasizing the importance of a user-friendly platform. While perceived usefulness alone may not directly impact usage intention, positive attitudes toward the system play a crucial role. The study recommends collaborative efforts between Tiket.com service providers and Senggigi hotel owners to enhance system adjustments, aligning with user needs and expectations. This research contributes valuable insights into technology's role in post-pandemic tourism recovery, providing a nuanced understanding of factors influencing the acceptance of Tiket.com within the Senggigi hospitality sector.

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Jang, Eunyoo, and Meehee Cho. "Restaurant Senior Diners' Self-Service Technology Adoption:Applying Technology Acceptance Model(TAM) and Senior Technology Exploration, Learning and Acceptance Model(STELA)." Foodservice Management Society of Korea 27, no. 4 (August 31, 2024): 113–33. http://dx.doi.org/10.47584/2024.27.4.113.

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This study aims to understand the mechanism of Self-Service Technology(SST) adoption in senior diners. This study was based on Technology Acceptance Model (TAM) and Senior Technology Exploration, Learning, and Acceptance (STELA) model. This study obtained data from 236 senior diners who have prior experience in using SST in the restaurant context for the analysis. Technostress significantly affected perceived usefulness of senior diners while social influence did not have such an effect. The perceived usefulness exhibited a positive attitude toward the use of SST, thereby leading to greater exploration and higher acceptance intentions. Additionally, exploration of senior diners improved the perceived ease, which in turn increased their acceptance intention. The findings can be utilized for future relevant research and development of effective strategies for restaurant businesses.

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Trakulmaykee, Numtip, Yaowalak Trakulmaykee, and Khanungnit Hnuchek. "Two Perceived Dimensions of Technology Acceptance Model in Mobile Tourist Guide Context." International Journal of Trade, Economics and Finance 6, no. 5 (October 2015): 278–82. http://dx.doi.org/10.18178/ijtef.2015.6.5.482.

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Shuhidan, Shuhaida Mohamed, Nurul Syahida Ayza Abd Samad, Zuraidah Mohd Sanusi, Saidatul Rahah Hamidi, Razana Juhaida Johari, and Farah Aida Ahmad Nadzri. "Extending Technology Acceptance Model to EPV Application." International Journal of Financial Research 10, no. 5 (June 10, 2019): 398. http://dx.doi.org/10.5430/ijfr.v10n5p398.

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This study intends to determine the acceptance of the technology in making ethical performance among auditors. We have reviewed current technology acceptance theories and formulates a unified model for the context of EPV application based on several constructs which is: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, motivating and impeding factor and perceive risk. Hypothesis are generated and their validity is analyzed by using Pearson Correlation and Multiple Linear Regression and a model has been produces for findings of the study namely Technology Acceptance towards EPV application (TAEPV). From the model, hedonic motivation has been excluded because it shows no significant relationship towards technology acceptance which means it is not suitable to be a factor to determine technology acceptance of EPV application. The respondents are tertiary students that are undergoing study in accounting, as they are the future pool of talent for the workforce. The results show that TAEPV outperforms current technology acceptance model by significantly improving the R-squares. Thus, this study makes modest theoretical and empirical contributions to the professional sector to (1) analyse existing tools in measuring ethical performance of individuals, (2) propose a unified model of technology acceptance toward EPV application and (3) evaluate technology acceptance in implementing EPV application. As for recommendation, it is hoped that TAEPV theories can be then evaluated by the financial auditors to assess their acceptance and use behavior of EPV application, the pioneer of professional judgment system.

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Lin, Chien-Hsin, Hsin-Yu Shih, and Peter J. Sher. "Integrating technology readiness into technology acceptance: The TRAM model." Psychology and Marketing 24, no. 7 (2007): 641–57. http://dx.doi.org/10.1002/mar.20177.

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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 (December 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 distancing led to new acceptance of technology due to an increased perception of usefulness of technology for maintaining community and social connections. The 71 older adults who denied using technology were asked about the reasons underlying their reluctance to use technology to access social networks and community events during the pandemic. Thematic analysis revealed factors consistent with a double-digital divide; lack of physical exposure to technology creates an additional psychological barrier to adoption of new technology. Of the technology-reluctant subgroup of older adults, few reported lack of perceived usefulness of technology during the pandemic. Instead, most reported lack of self-efficacy or fear of technology underlying their lack of technology use for social and community connections during the pandemic, which we incorporate into the COVID-TAM. Findings indicate that technology training can help mitigate this fear and increase social and community connections that are technology-mediated in circumstances where physical distancing is necessary.

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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 (June 30, 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 consisting of 15 items developed based on the related literature. The results support that both perceived ease of use and perceived usefulness are key determinants of student’s actual use of ICT as a learning resource, and the relationship between perceived ease of use and actual use is moderated by perceived usefulness. Based on the findings, conclusions, implications, limitations, and an outlook for future studies were made. The originality of this study stems from the use of perceived usefulness as a moderator on the relationship between perceived ease of use and actual use of ICT among university students.

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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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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 (January 3, 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 society.

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Money, William, and Arch Turner. "Assessing Knowledge Management System User Acceptance with the Technology Acceptance Model." International Journal of Knowledge Management 1, no. 1 (January 2005): 8–26. http://dx.doi.org/10.4018/jkm.2005010101.

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Al-Gahtani, Said S. "Modeling the electronic transactions acceptance using an extended technology acceptance model." Applied Computing and Informatics 9, no. 1 (January 2011): 47–77. http://dx.doi.org/10.1016/j.aci.2009.04.001.

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Kusumawan, Viendy Nurul, and Eko Marpanaji. "Analysis factors acceptance of e-learning using technology acceptance model approach." JPPI (Jurnal Penelitian Pendidikan Indonesia) 8, no. 4 (December 30, 2022): 1256. http://dx.doi.org/10.29210/020232173.

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<p>E-learning is one of the media in the current learning process, but many facts in the field show that the process of using it is not optimal. Many factors affect one of them, from the user's difficulty to operate it. This research aims to identify the factors that influence the use of the e-learning portal at SMK Muhammadiyah 3 Yogyakarta with a teacher and student as respondents. This research uses a quantitative approach with an ex-post-facto approach. The primary data source comes from sharing an online questionnaire (google form) which contains 30 questions using a Likert scale of 5 as an alternative answer. The research subjects were teachers of SMK Muhammadiyah 3 Yogyakarta with 69 teachers. The results showed that the use of e-learning portals by teachers and students is (1) effect by the e-learning self-efficacy factor on the e-learning portal is still not optimally successful; (2) Effect by complexity factor is still not optimally successful and (3) Effect from motivation factor is getting optimal results.</p>

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Kasse, Daniel, Ir P. Insap Santosa, M. Sc., Ph. D., and Dr Ridi Ferdiana, S.T., M.T. "Pengembangan E-learning berbasis Technology Acceptance Model." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 3, no. 3 (December 8, 2014): 88. http://dx.doi.org/10.23887/janapati.v3i3.9809.

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Banyak murid yang mengeluh karna merasa tidak cocok dengan gaya mengajar dari guru. Terjadi penolakan dalam diri mereka sehingga menjadi malas, bosan dan stress. Selama ini masih digunakan video tutorial dan power point untuk belajar. Tetapi masih kurang interaktif. Kekurangan dari penggunaan video dan slide presentasi bisa dilengkapi dengan penggunaan website untuk pembelajaran. Website yang dinamis dan kemudahan pencarian informasi sangat diperlukan untuk mendukung kegiatan belajar. Tujuan utama dari penelitian ini adalah membuat sebuah website yang memberikan layanan belajar dengan penyajian materi sesuai kebutuhan siswa.

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Silva, Leiser. "Post-positivist Review of Technology Acceptance Model." Journal of the Association for Information Systems 8, no. 4 (April 2007): 255–66. http://dx.doi.org/10.17705/1jais.00121.

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Labus, Pero, and Dejan Jelovac. "RESTAURANTS: APPLYING AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL." Acta turistica 34, no. 1 (June 2022): 51–82. http://dx.doi.org/10.22598/at/2022.34.1.51.

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Fedorko, Igor, Radovan Bacik, and Beata Gavurova. "Technology acceptance model in e-commerce segment." Management & Marketing 13, no. 4 (December 1, 2018): 1242–56. http://dx.doi.org/10.2478/mmcks-2018-0034.

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Abstract Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.

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Sanchís-Pedregosa, Carlos, Juan-Manuel Vizcarra-Aparicio, and Antonio L. Leal-Rodríguez. "BIM: a technology acceptance model in Peru." Journal of Information Technology in Construction 25 (February 5, 2020): 99–108. http://dx.doi.org/10.36680/j.itcon.2020.006.

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The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru.

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Ahn, Mira, Jiyun Kang, and Gwendolyn Hustvedt. "A model of sustainable household technology acceptance." International Journal of Consumer Studies 40, no. 1 (June 24, 2015): 83–91. http://dx.doi.org/10.1111/ijcs.12217.

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Ibrahim, Hafedh. "Technology Acceptance Model: Extension to Sport Consumption." Procedia Engineering 69 (2014): 1534–40. http://dx.doi.org/10.1016/j.proeng.2014.03.152.

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El-Wajeeh, Marwan, Prof Galal H. Galal-Edeen, and Dr Hoda Mokhtar. "Technology Acceptance Model for Mobile Health Systems." IOSR Journal of Mobile Computing & Application 1, no. 1 (2014): 21–33. http://dx.doi.org/10.9790/0050-0112133.

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