Journal articles on the topic 'Technology acceptance'

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1

Greenfield, Geoffrey, and Fiona H. Rohde. "Technology Acceptance." International Journal of Information Systems and Social Change 2, no. 2 (April 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 the standard business functions of a NFP organisation e.g., marketing. These attitudes affected their perceptions of the use of and ease of technology.
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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 (April 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 in. This study reveals that these theories are almost similar in their structure, but different in explaining the behavioral intentions of technology. It considers that the best theory should be comprehensive and less complexity according to the number of the constructs and moderators which represent their structure. This will make the theory more understandable and applicable especially for studying the acceptance behavior for any new technology.
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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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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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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 (July 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, training plays a vital role in encouraging government employees and administrators to accept, adopt and utilize e-government technologies.
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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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Nagadeepa C., Sibi Shaji, and B. Rose Kavitha. "Technology Acceptance of HRIS." International Journal of Information Communication Technologies and Human Development 11, no. 4 (October 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 various B-Schools in Bangalore. This study considered 120 employees (low, middle and upper level) from various B-Schools. The study was to understand the effectiveness of the human resource information system tools in B-Schools using SEM.
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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 (July 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 (September 5, 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 (July 2011): 411–18. http://dx.doi.org/10.1097/ncn.0b013e3181f9dd4a.

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Künemund, Harald, and Nele Marie Tanschus. "The technology acceptance puzzle." Zeitschrift für Gerontologie und Geriatrie 47, no. 8 (November 21, 2014): 641–47. http://dx.doi.org/10.1007/s00391-014-0830-7.

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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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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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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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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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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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Hernandez, Blanca, Julio Jimenez, and M. Jose Martin. "Business Acceptance of Information Technology." International Journal of Enterprise Information Systems 4, no. 4 (October 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 (June 30, 2018): 10. http://dx.doi.org/10.15575/join.v3i1.158.

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Hornbæk, Kasper, and Morten Hertzum. "Technology Acceptance and User Experience." ACM Transactions on Computer-Human Interaction 24, no. 5 (November 13, 2017): 1–30. http://dx.doi.org/10.1145/3127358.

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

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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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25

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

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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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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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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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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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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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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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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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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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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 (October 1, 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 travel agent service is easy to use and it is useful for them. Student’s perception, trust in online travel agent service, and information obtained from others affected students’ attitude to use online travel agent service. Furthermore, students who feels that online travel agent technology is useful for them will have positive attitude on the existence of online travel agent service and they wil also have intention to use the online travel agent service. Keywords: Online travel agent, behavioral intention, internal factors, external factors.Abstrak: Pengaruh Faktor Eksternal Technology Acceptance Model Terhadap Penerimaan Teknologi Online Travel Agent. Tujuan penelitian ini adalah untuk menguji faktor internal dan faktor eksternal yang mempengaruhi minat mahasiswa Universitas Brawijaya untuk menggunakan agen perjalanan online. Sampel penelitian dipilih menggunakan teknik nonprobability sampling dengan metode convenience sampling. Instrumen penelitian ini adalah kuesioner yang dibuat secara online dengan bantuan google form dan dianalisis dengan SEM-PLS. Hasil penelitian ini menunjukkan bahwa inovasi pribadi dan keyakinan sendiri mepengaruhi persepsi mahasiswa bahwa teknologi agen perjalanan online mudah digunakan, yang selanjutnya membuat mereka berpendapat bahwa teknologi agen perjalanan online berguna bagi mahasiswa. Persepsi mahasiswa bahwa teknologi agen perjalanan online berguna bagi mereka, kepercayaan terhadap teknologi agen perjalanan online, dan informasi yang diperoleh dari orang lain melalui internet mempengaruhi sikap mahasiswa untuk menggunakan teknologi agen perjalanan online. Selanjutnya mahasiswa yang berpendapat bahwa teknologi agen perjalanan online berguna bagi mereka akan bersikap positif atas adanya teknologi agen perjalanan online dan berminat untuk menggunakan teknologi agen perjalanan online. Kata kunci: agen perjalanan online, minat perilaku, faktor internal, faktor eksternal.
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Agarwal, Anant, Woong Je Sung, Laura Marlino, Pawel Gradzki, John Muth, Robert Ivester, and Nick Justice. "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 realize DOEs core missions of more efficient energy generation, greenhouse gas reduction and energy security within the U.S. This paper discusses currently funded activities and application areas that are suitable for WBG introduction. A detailed cost roadmap for SiC device introduction is also presented.
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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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Gibson, Shanan G., Michael L. Harris, and Susan M. Colaric. "Technology Acceptance in an Academic Context: Faculty Acceptance of Online Education." Journal of Education for Business 83, no. 6 (July 2008): 355–59. http://dx.doi.org/10.3200/joeb.83.6.355-359.

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46

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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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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Agussabti, Rahmaddiansyah, Romano, and I. Zahara. "Aceh farmer’s acceptance of agricultural technology." IOP Conference Series: Earth and Environmental Science 667, no. 1 (February 1, 2021): 012049. http://dx.doi.org/10.1088/1755-1315/667/1/012049.

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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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George Saadé, Raafat, and Dennis Kira. "The Emotional State of Technology Acceptance." Issues in Informing Science and Information Technology 3 (2006): 529–39. http://dx.doi.org/10.28945/913.

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