Academic literature on the topic 'Technology Acceptance Model 3'

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Journal articles on the topic "Technology Acceptance Model 3"

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Suwastika, Novian Anggis, Maslin Masrom, Qori Qonita, Rahmat Yasirandi, and Hilal Hudan Nuha. "The acceptance model for camera simulators as a learning media for Indonesian vocational student." International Journal of Evaluation and Research in Education (IJERE) 13, no. 5 (2024): 2996–3007. https://doi.org/10.11591/ijere.v13i5.29011.

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This study investigates the acceptance of camera simulator technology as a learning media by Indonesian vocational high school (VHS) students and examines the relationships among influencing factors. It proposes an acceptance model integrating the technology acceptance model (TAM) 3 and the unified theory of acceptance and use of technology (UTAUT). Ten factors impacting technology acceptance were identified, resulting in the formulation of 15 hypotheses regarding inter-construct relationships. In this empirical study, a quantitative approach was employed, distributing questionnaires to 200 st
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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 (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
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Azizah, Siti Nur, Hermin Endratno, and Harjono Harjono. "Analysis of Digital Legal Acceptance based on the Technology Acceptance Model 3 (TAM3)." Kosmik Hukum 22, no. 3 (2022): 212. http://dx.doi.org/10.30595/kosmikhukum.v22i3.15647.

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This study aims to analyze the acceptance of the PeduliLindungi application from a public perspective using the Technology Acceptance Model (TAM) concept. The government requires the PeduliLindung application to track community activities through the Decree of the Minister of Communication and Informatics No. 171 of 2020. The Indonesian government hopes that this application records the mobility of infected patients and becomes a solution to reduce the transmission of COVID-19. However, PeduliLindungi is a new application that developed after the pandemic. Thus, the user acceptance of this app
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Fedorko, Igor, Radovan Bačik, and Beata Gavurova. "Analysis of selected technology acceptance model constructs and their impact on user behavior." Innovative Marketing 18, no. 3 (2022): 72–83. http://dx.doi.org/10.21511/im.18(3).2022.07.

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Nowadays, when the Internet is a regular part of people’s life in competitive conditions, it is essential to emphasize user feelings about the products, especially in the context of web pages. The study aims to clarify the significance of selected Technology Acceptance Model elements concerning user behavior in the web area. The study applied an exploratory method using an anonymous questionnaire in electronic form (Likert scale). This study’s respondents were website users, visitors, or internet users within the EU. Adequacy of the research sample was measured using Cronbach’s alpha and Kaise
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Dishaw, Mark T., and Diane M. Strong. "Extending the technology acceptance model with task–technology fit constructs." Information & Management 36, no. 1 (1999): 9–21. http://dx.doi.org/10.1016/s0378-7206(98)00101-3.

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Ghazizadeh, Mahtab, John D. Lee, and Linda Ng Boyle. "Extending the Technology Acceptance Model to assess automation." Cognition, Technology & Work 14, no. 1 (2011): 39–49. http://dx.doi.org/10.1007/s10111-011-0194-3.

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Venkatesh, Viswanath, and Hillol Bala. "Technology Acceptance Model 3 and a Research Agenda on Interventions." Decision Sciences 39, no. 2 (2008): 273–315. http://dx.doi.org/10.1111/j.1540-5915.2008.00192.x.

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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 (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 n
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Athambawa, Aiman, Md Gapar Md Johar, and Ali Khathibi. "Secure cloud adoption model: novel hybrid reference model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 936–43. https://doi.org/10.11591/ijeecs.v27.i2.pp936-943.

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This article discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model.
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Mahmud Rizal Mustofa and Maria Ulfah Siregar. "ANALYSIS OF CHATGPT ACCEPTANCE FOR EDUCATION USING MODIFIED TECHNOLOGY ACCEPTANCE MODEL." Jurnal Teknik Informatika (Jutif) 5, no. 4 (2024): 479–86. https://doi.org/10.52436/1.jutif.2024.5.4.2095.

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The presence of ChatGPT provides various benefits from all sectors including education. However, despite the various benefits obtained, many researchers argue that ChatGPT also has many significant drawbacks. This research aims to analize the effect of perceived threat, perceived ease of use, perceived usefulness, attitude toward using dan behavioral intention to use the system of ChatGPT in education. The TAM modification in this research is the addition of a perceived threat variable which refers to the problem of the research object.The population in this research is active students of Univ
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Dissertations / Theses on the topic "Technology Acceptance Model 3"

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Li, Zhigang. "Management support and faculty's adoption of learning management system applying technology acceptance model 3." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4792.

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The purpose of this research study was to understand and identify the key factors that affect faculty's behavioral intention of using a learning management system. This research study adopted the Technology Acceptance Model 3 (TAM3) as the theoretical foundation and extended it by adding management support as an exogenous variable based on the recommendations from previous research studies. Technology Acceptance Model 3 is the latest iteration of Technology Acceptance Model – a widely adopted research framework for studying users' acceptance of technology. It provides a comprehensive network o
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Kloub, Maha, and Annika Gerigoorian. "A Cross-Sectional Technology Acceptance Study of an AI CAD System in a Breast Screening Unit." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299859.

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In January 2021, one of the first large-scale implementations of an artificial intelligent computer-aided detection system (AI CAD) for detecting breast cancer was implemented at Capio S:t Göran hospital in Stockholm. AI CAD for detecting breast cancer is promising, however, it can only be a successful implementation if it is accepted by the end-users. This study examines and evaluates factors critical to the acceptance of the AI CAD, prior to the radiology professionals using it by applying the third version of the Technology Acceptance Model, that is TAM3. A questionnaire was designed and di
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Kowitlawakul, Yanika. "Technology acceptance model predicting nurses' acceptance of telemedicine technology (eICU®) /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3058.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 116. Thesis director: Jean Burley Moore. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Nursing. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 108-115). Also issued in print.
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Yousif, Wael K. "Examining engineering & technology students' acceptance of network virtualization technology using the technology acceptance model." Orlando, Fla. : University of Central Florida, 2010. http://purl.fcla.edu/fcla/etd/CFE0003071.

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Yousif, Wael K. Yousif. "EXAMINING ENGINEERING & TECHNOLOGY STUDENTS ACCEPTANCE OF NETWORK VIRTUALIZATION TECHNOLOGY USING THE TECHNOLOGY ACCEPTANCE MODE." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3039.

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This causal and correlational study was designed to extend the Technology Acceptance Model (TAM) and to test its applicability to Valencia Community College (VCC) Engineering and Technology students as the target user group when investigating the factors influencing their decision to adopt and to utilize VMware as the target technology. In addition to the primary three indigenous factors: perceived ease of use, perceived usefulness, and intention toward utilization, the model was also extended with enjoyment, external control, and computer self-efficacy as antecedents to perceived ease of use.
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Keeling, Kathleen A. "Customer acceptance of electronic service delivery : : extending the technology acceptance model." Thesis, University of Manchester, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488161.

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Mulero, Senikat Olumayowa. "Acceptance and impact of social networks marketing using extended technology acceptance model." Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/1385.

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Thesis (MTech (Information Technology)--)Cape Peninsula University of Technology, 2012<br>Includes bibliographical references (leaves 127)<br>In rapid advances in marketing strategies, Social Networks Marketing (SNM) is dramatically becoming an important aspect in promoting businesses. Social networks marketing has been found as one of the most effective tool used in businesses today, by most business owners in South Africa, to expand, and flourish their businesses. The explosion of Internet usage has drawn the attention of researchers towards social networks marketing. Research has shown that
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Gabbard, Ralph Barnhart. "Applying the technology acceptance model to online education." [Bloomington, Ind.] : Indiana University, 2004. http://wwwlib.umi.com/dissertations/fullcit/3162232.

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Thesis (Ph.D.)--Indiana University, 2004.<br>Source: Dissertation Abstracts International, Volume: 66-01, Section: A, page: 0011. Chair: Javed Mostafa. Title from dissertation home page (viewed Oct. 12, 2006).
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Ducey, Adam J. "Predicting Tablet Computer Use: An Extended Technology Acceptance Model." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4471.

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While information technology has rapidly changed work in the United States in the past 50 years, some businesses and industries have been slow to adopt new technologies. Healthcare is one industry that has lagged behind in information technology investment for a variety of reasons. Recent federal initiatives to encourage IT adoption in the healthcare industry provide an ideal context to study factors that influence technology acceptance. Data from 261 practicing pediatricians were collected to evaluate an extended Technology Acceptance Model. Results indicated that individual (i.e., perceived
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Hur, Youngjin. "Determinants of sport website acceptance : an application and extension of the technology acceptance model." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Summer2007/y_hur_072707.pdf.

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Books on the topic "Technology Acceptance Model 3"

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Davis, Fred D., and Andrina Granić. The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2.

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Al-Emran, Mostafa, and Khaled Shaalan, eds. Recent Advances in Technology Acceptance Models and Theories. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64987-6.

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Hillmer, Ute. Technology Acceptance in Mechatronics. Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8375-6.

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Ursavaş, Ömer Faruk. Conducting Technology Acceptance Research in Education. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10846-4.

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Kamel, Sherif. Assessing the introduction of electronic banking in Egypt using the technology acceptance model. Idea Group Pub., 2003.

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Hiraoka, Clemens. Technology Acceptance of Connected Services in the Automotive Industry. Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8309-1.

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Ortiz, Michael. Loss of Control and Technology Acceptance in (Digital) Transformation. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39661-9.

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Horn, Maximilian. Technology Acceptance, Path Dependence, and the Demand for Robo-Advisory Services. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-44679-6.

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Cao, Yu. Predictive Technology Model for Robust Nanoelectronic Design. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0445-3.

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Magnani, Lorenzo, and Claudia Casadio, eds. Model-Based Reasoning in Science and Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38983-7.

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Book chapters on the topic "Technology Acceptance Model 3"

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Davis, Fred D., and Andrina Granić. "Epilogue: What Will the Future of TAM Be Like?" In The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2_4.

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Davis, Fred D., and Andrina Granić. "Evolution of TAM." In The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2_2.

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Davis, Fred D., and Andrina Granić. "Introduction: “Once Upon a TAM”." In The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2_1.

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Davis, Fred D., and Andrina Granić. "Revolution of TAM." In The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2_3.

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Davis, Fred D., and Andrina Granić. "Actionable Principles: The Seven Pillars Framework." In The Technology Acceptance Model. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-45274-2_5.

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Nagadeepa, C., R. Vijayakumar, K. K. Jagadeesh, and M. Biju. "Hands-Free Technology: Acceptance Model for Audiobooks." In Contributions to Environmental Sciences & Innovative Business Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48075-1_19.

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Ursavaş, Ömer Faruk. "Technology Acceptance Model: History, Theory, and Application." In Springer Texts in Education. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10846-4_4.

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Leelavathi, R., S. Manjunath, and T. Somasundaram. "Customer Acceptance on Usage of Telemedicine Application: Technology Acceptance Model (TAM)." In Studies in Computational Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43300-9_26.

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Fernández Robin, Cristóbal, Scott McCoy, Luis Yáñez Sandivari, and Diego Yáñez Martínez. "Technology Acceptance Model: Worried about the Cultural Influence?" In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07293-7_59.

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Eltayeb, Mohamed, and Maurice Dawson. "Understanding User’s Acceptance of Personal Cloud Computing: Using the Technology Acceptance Model." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32467-8_1.

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Conference papers on the topic "Technology Acceptance Model 3"

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Razzaq, Ivan Maulana, Muhardi Saputra, and R. Wahjoe Witjaksono. "Assessing ERP System Acceptance in the Hospitality Industry: An Application of the UTAUT 3 Model." In 2024 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2024. http://dx.doi.org/10.1109/isitia63062.2024.10667987.

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Amrullah, Abrar Zuhdi Aqil, Rahmat Fauzi, and Widia Febriyani. "Analysis of Factors Influencing the Intention-to-Use Child-Monitoring Health Applications with Technology Acceptance Model 3 (TAM 3) (Study Case: Sukabumi Regency)." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10913026.

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Razzaq, Ivan Maulana, and Muhardi Saputra. "Analyzing End-User Acceptance of SaaS-Based ERP Systems in Hospitality in Bali: A UTAUT 3 Model Approach with SEM-PLS Using R Programming." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810625.

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He, Zhenhai, and Shaoming Chai. "Examining University Faculty's Acceptance of ChatGPT Through the Technology Acceptance Model." In 2025 5th Asia Conference on Information Engineering (ACIE). IEEE, 2025. https://doi.org/10.1109/acie64499.2025.00029.

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Zhang, Huaxin, and Wencan Gao. "Exploring the Acceptance of Robotaxi Technology Among the Elderly Based on an Extended Technology Acceptance Model." In 2023 IEEE 8th International Conference on Intelligent Transportation Engineering (ICITE). IEEE, 2023. http://dx.doi.org/10.1109/icite59717.2023.10733880.

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Remegio, Florlyn Mae C., and Remelyn Asahid-Cheng. "Decoding Acceptance through Technology Acceptance Model: A Descriptive Study of ChatGPT Usage Across Academic Disciplines." In 2024 4th International Conference on Educational Technology (ICET). IEEE, 2024. https://doi.org/10.1109/icet62460.2024.10868886.

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Rafly, Muhammad, Muhardi Saputra, and Wahjoe Witjaksono. "Acceptance of the use and benefits of ERP systems in the hospitality industry: Application of technology acceptance model 3." In THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, ADVANCED MECHANICAL AND ELECTRICAL ENGINEERING. AIP Publishing, 2025. https://doi.org/10.1063/5.0286086.

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Busolo, Gilbert, Lawrence Nderu, and Kennedy Ogada. "Demystifying Technology Adoption through Implementation of a Multilevel Technology Acceptance Management Model." In 11th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141405.

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Successful data driven decision making in any organization is anchored on the tenets of knowledge as a strategic resource. Successful adoption of a technological intervention to harness this pivotal resource is key. Institutions leverage on technology for prudent data management to drive knowledge management (KM) initiatives towards quality service delivery. These initiatives provide the overall strategy for managing data resources through making available knowledge organization tools and techniques while enabling regular updates. Some of the benefits derived from positive deployment of a tech
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Putra, Rendris Dirgantara, and Febriliyan Samopa. "Analysis of Factors Affecting The Acceptance of Surabaya E-Government Service Using Technology Acceptance Model (TAM) 3: A Case Study of E-Lampid." In Mathematics, Informatics, Science, and Education International Conference (MISEIC 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/miseic-18.2018.30.

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Panjaitan, Sintya Lasma Putri Br, Stevi Chartinie Valiyenty, and Ignatius Edward Riantono. "User’s Acceptance and Intention of Blockchain Technology with UTAUT 3 Model: Beneficial or Detrimental in the Indonesian Banking Industry." In 2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2023. http://dx.doi.org/10.1109/iccsce58721.2023.10237147.

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Reports on the topic "Technology Acceptance Model 3"

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Hwang, Chanmi. Consumers' acceptance of wearable technology: Antecedents in a technology acceptance model (MS - 2nd place). Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-1125.

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Ma, Yoon Jin, Hae Jin Gam, and Jennifer Banning. Acceptance of a Socially Responsible Label Model for Apparel Products: Application of the Technology Acceptance Model. Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-842.

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Barnes, G. A. Enraf series 854 Advanced Technology Gauge (ATG) acceptance test procedure. Revision 3. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/71569.

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Li, Ailin, and Yingjiao Xu. Chinese Consumers� Adoption Behaviors Toward Virtual Fitting Rooms: From the Perspective of Technology Acceptance Model. Iowa State University. Library, 2019. http://dx.doi.org/10.31274/itaa.8331.

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Contreras Salamanca, Luz Briyid, and Yon Garzón Ávila. Generational Lagging of Dignitaries, Main Cause of Technological Gaps in Community Leaders. Analysis of Generation X and Boomers from the Technology Acceptance Model. Universidad Nacional Abierta y a Distancia, 2021. http://dx.doi.org/10.22490/ecacen.4709.

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Community and neighborhood organizations are in the process of renewing the organizational culture, considering technological environments in the way of training, and advancing communally, being competitive in adaptation and learning, creating new solutions, promoting change, and altering the status quo, based on the advancement of technology over the last few years, currently applied in most organizations. The decisive factor is the ability of true leaders to appropriate the Technological Acceptance Model –TAM– principles, participating in programs and projects, adopting new technologies from
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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water
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Coulson, Wendy, and James McCarthy. PR-312-17204-R02 Portable Analyzer Method Update - Phase 3. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011493.

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A multi-phase project has developed a simplified portable analyzer emission test method for measuring NOx and CO emissions from natural gas-fired combustion sources. The method leverages the inherent linear performance of electrochemical cell-based technology to provide simplified procedures that will lower cost. This Phase 3 report complements earlier Phase 1 and Phase 2 documents that established the technological basis (i.e., linear performance) of the simplified method, developed a draft method, identified data gaps associated method procedures, and conducted limited lab and field tests to
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Osborne, Olivia, Claire Potter, Alan Boobis, and Cath Mulholland. UK FSA COT Paving the way for a UK Roadmap-Development, Validation and Acceptance of New Approach Methodologies Workshop summary (2021). Food Standards Agency, 2024. http://dx.doi.org/10.46756/sci.fsa.dgl473.

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The workshop took place online on the 6th and 7th of October 2021 (Figure 2). It had worldwide participation with attendees from industry, academia, and regulatory agencies. The days were divided into different area sessions: Drivers vs Challenges: Formulate the Problem Space; The right data/the value of data; Adopters of change: Innovation vs Adoption vs Compatibility; From basic to Applied-Science &amp; Technology: Distil, Review, Validate; Paving the way for the paradigm shift: The UK Roadmap. Each of the sessions had presentations followed by a roundtable discussion and included interactiv
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Nichols, Chris, Jeffrey Eppink, and Michael Marquis. Database and Model of Coal-fired Power Plants in the United States for Examination of the Costs of Retrofitting the CO2 Capture Technology, Appendix 3. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1503272.

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Bonita, Manuel, Fernando Correa, Harri Ahveninen, and Pertti Veijalainen. Forest Clusters: A Competitive Model for Latin America. Inter-American Development Bank, 2002. http://dx.doi.org/10.18235/0008811.

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Abstract:
contribute to success in the forest business. These include sound macroeconomic and long-term forest policies, secure land tenure, support from related education and technology programs, and cooperation among the various industries involved in producing and marketing forest products and services. The basic objective of this document is to examine the potential for creating forest clusters in Latin America. These clusters are based on the experience of Nordic countries and on studies of six natural resource-based clusters, identified by ECLAC/CEPAL. Specifically, this study aims to: 1) Identify
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