Academic literature on the topic 'Technology Acceptance Model 3 (TAM3)'
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Journal articles on the topic "Technology Acceptance Model 3 (TAM3)"
Saravanos, Antonios, Stavros Zervoudakis, and Dongnanzi Zheng. "Extending the Technology Acceptance Model 3 to Incorporate the Phenomenon of Warm-Glow." Information 13, no. 9 (September 12, 2022): 429. http://dx.doi.org/10.3390/info13090429.
Full textElshafey, Abdalrahman, Chai Chang Saar, Eeydzah Binti Aminudin, Masoud Gheisari, and Abdulrahman Usmani. "Technology acceptance model for Augmented Reality and Building Information Modeling integration in the construction industry." Journal of Information Technology in Construction 25 (March 2, 2020): 161–72. http://dx.doi.org/10.36680/j.itcon.2020.010.
Full textPortela, Filipe, Manuel Filipe Santos, José Machado, António Abelha, and Fernando Rua. "Step Towards Pervasive Technology Assessment in Intensive Medicine." International Journal of Reliable and Quality E-Healthcare 6, no. 2 (April 2017): 1–16. http://dx.doi.org/10.4018/ijrqeh.2017040101.
Full textGanjikhah, Afsaneh, Ali Rabiee, Davood Karimzadegan Moghaddam, and Davood Vahdat. "Comparative Analysis of Bank’s ATM and POS Technologies By Customers." Independent Journal of Management & Production 8, no. 3 (September 1, 2017): 831. http://dx.doi.org/10.14807/ijmp.v8i3.528.
Full textAthambawa, 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 (August 1, 2022): 936. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp936-943.
Full textDaniel, Francis. "Diversity As Technology: A New Perspective." Journal of Diversity Management (JDM) 6, no. 2 (August 2, 2011): 31–40. http://dx.doi.org/10.19030/jdm.v6i2.5483.
Full textM. Al Abdallah, Ghaith, Azzam A. Abou-Moghli, and Ahmed H. Al-Thani. "An examination of the e-commerce technology drivers in the real estate industry." Problems and Perspectives in Management 16, no. 4 (December 26, 2018): 468–81. http://dx.doi.org/10.21511/ppm.16(4).2018.39.
Full textXhafaj, Evgjeni, Daniela Halidini Qendraj, Alban Xhafaj, and Neime Gjikaj. "A Hybrid Integration of PLS-SEM, AHP, and FAHP Methods to Evaluate the Factors That Influence the Use of an LMS." International Journal of Decision Support System Technology 14, no. 1 (January 2022): 1–17. http://dx.doi.org/10.4018/ijdsst.286697.
Full textDe Oliveira, Natália J. S., Thiago Baesso Procaci, and Sean Wolfgand Matsui Siqueira. "Captura da Aceitação do Blackboard e do Tipo de Motivação de Alunos de Cursos Presenciais de Ciências Exatas em uma Universidade Privada." Revista Brasileira de Informática na Educação 28 (February 16, 2020): 229–59. http://dx.doi.org/10.5753/rbie.2020.28.0.229.
Full textJaysheelan, N., R. Hariharan, and G. P. Dinesh. "Has it Pierced or Yet To Pierce? A Critical Analysis of E-Retailing’s Penetration into Rural India using Extended Technology Acceptance [TAM2]." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 6, no. 2 (February 27, 2017): 155. http://dx.doi.org/10.21013/jmss.v6.n2.p4.
Full textDissertations / Theses on the topic "Technology Acceptance Model 3 (TAM3)"
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.
Full textID: 031001284; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Title from PDF title page (viewed February 26, 2013).; Thesis (Ph.D.)--University of Central Florida, 2011.; Includes bibliographical references (p. 139-150).
Ph.D.
Doctorate
Education and Human Performance
Education; Instructional Technology Track
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.
Full textI januari 2021, implementerades ett artificiellt intelligent datorstött detektionssystem som ska upptäcka bröstcancer på Capio S:t Görans sjukhus i Stockholm. Användning av AI CAD för att upptäcka bröstcancer är lovande, men det kan endast bli en framgångsrik implementering om det accepteras av de som använder systemet. Denna studie undersöker och utvärderar de initiala faktorer som är avgörande för användaracceptansen av AI CAD hos radiologipersonal genom att utgå från den senaste versionen av teknologiacceptansmodellen – Technology Acceptance Model 3 (TAM3). Ett frågeformulär utformades i enlighet med modellen och distribuerades till 28 yrkesverksamma på S:t Görans mammografiavdelning. Den kvantitativa data som samlades in från enkäten analyserades med hjälp av det statistiska verktyget SPSS. De empiriska resultaten visade att radiologipersonalens avsikt att använda AI CAD påverkades direkt av den upplevda användbarheten av systemet och indirekt av personalens upplevda syn på hur enkelt systemet är att använda, att systemet är relevant för personalens jobb samt att systemet kan höja personalens image. Dessutom bekräftade studien att den subjektiva normen påverkar systemets image. Slutligen upptäcktes två nya associationer, i vilken TAM3 inte antar. Dessa påträffades mellan image och den beteendemässiga intentionen till att använda systemet samt mellan jobbrelevansen och den beteendemässiga intentionen till att använda systemet. Organisationsstöd, systemrelaterade aktiviteter samt information och kommunikation med personal är interventioner som föreslås baserat på resultaten i denna studie som mammografiavdelningen på S:t Görans sjukhus bör utnyttja för att öka acceptansen av AI CAD systemet.
Weng, Meng-Cheng, and 翁明正. "Exploring the Acceptance of Cyber University Use Based on Technology Acceptance Model 3." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/34277168811881898185.
Full text嘉南藥理科技大學
醫療資訊管理研究所
98
With the popularity of the broadband and the expanding of the digital technology, the Internet nowadays indeed has become the largest information dissemination network and has considerable influence. For example, in the modern teaching process, applying digital technologies to support teaching has become an important trend. The transition, e-learning brings, are not only the convenience of the learners but also breaking the barriers of the classroom. It also provides an independent and autonomous learning space and gets rid of the time and space limitations from the traditional teaching. Therefore, e-learning has rapidly integrated into the traditional teaching areas. Schools and academic institutions are also continuing promoting it. In this study, it mainly discusses about the situation of the students’ usage and acceptability of the cyber university system, based on Technology Acceptance Model 3 (TAM 3) which is addressed by Venkatesh & Bala (2008). The first-year students from a University of Technology Department of Information Management have been chosen as a sample group. The research method which this study adopted is the continuous survey. The hypotheses and research model would be verified by using PLS. A longitudinal survey of three investigations faced the same respondents was conducted a total of 373 valid questionnaire responses were completed with a 96.6% response rate. Based on the result of the study, it is indicated that the factors affecting the Perceived Usefulness include Subjective Norm and Perceived Ease of Use and Job Relevance and the factors influencing Perceived Ease of Use include, Computer Self-Efficacy, Perception of External Control, Computer Playfulness and Computer Anxiety and Perceived Enjoyment. Also, the factors which affect Intention of the factors include Perceived Usefulness and Perceived Ease of Use and Subjective Norm. Furthermore, the effect of Subjective Norm on Perceived Usefulness would be interfered by the Experience. Also, the effects of Computer Anxiety and Perceived Enjoyment on Perceived Ease of Use would be interfered by the Experience.
Yu, Hou Ti, and 侯玓妤. "Using Technology Acceptance Model 3 to Explore the Shopping Intention through Internet." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/78460528426508468904.
Full text大葉大學
管理學院碩士在職專班
103
Based on the theory of “Technology Acceptance Model 3”, this study analyzed that several perspectives including social influence process, Cognitive Instrument Process, Anchor, Adjustment, perceived usefulness, perceived availability, shopping experience through Internet affected consumer shopping intention through Internet. Futhermore, it can provide the surveyors or online-shop dealers with more advanced references in the future. This study adopted two methods to collect research samples: printed questionnaires and online questionnaires. Due to the 14 invalid questionnaires are not fully-answered, there are totally 400 valid questionnaires, 316 printed questionnaires and 84 ones online questionnaires. In this study, the research method for data analysis was employing SPSS to process the descriptive statistical analysis, confirmatory factor analysis (reliability and validity analysis), correlation analysis, and hierarchical regression analysis. After the empirical research analysis, the findings of this study are : 1. “Social influence process” has a positive influence on” perceived usefulness” of online shopping. 2. “Cognitive Instrument Process” has a positive influence on “perceived usefulness” of online shopping. 3. “Anchor” has a positive influence on “perceived ease of use” of online shopping. 4. “Adjustment” has a positive influence on “perceived ease of use” of online shopping. 5. “Perceived usefulness” and “perceived ease of use” of online shopping have a positive influence on consumer shopping intension through Internet. 6. “Shopping experience” has a positive influence on “perceived usefulness” of online shopping.
CHANG, HUI-HAN, and 張惠涵. "Applying the Technology Acceptance Model 3 to Evaluate the Intention on Internet Buying." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/47008922631384592940.
Full text大葉大學
資訊管理學系碩士班
104
In recent years, the rapid development of information, but also a better use of universal, people began to pay attention to self-life, in addition to diet, exercise, and more attention to their travel plans. Therefore, consumers become accustomed to the use of soft and hard body search and plan their own travel plans. The explanatory power of this study, a relatively complete technology acceptance model 3 (Technology Acceptance Model 3, TAM3) as the theoretical basis for Internet Surveys Hsinchu county (city) for the use of information technology planning willingness to travel, the use of questionnaires and data interpretation prediction consumers in the travel itinerary for information technology factors into the planning it. The results of this study, also verified the Technology Acceptance Model 3 in integrating technology into the relevance of the travel itinerary planning research on consumers of information technology into the travel itinerary planning intended use, will be perceived external control, the results show the resistance, output quality working relevance and impact of IWB self-efficacy. And for this study, for the tourism industry to promote the integration of information technology in terms of travel planning can be an important reference, also can be used as indicators related businesses forecast consumer acceptance of information technology that is planning activities by reference.
Hu, Shih-fang, and 胡世芳. "Applying the Technology Acceptance Model 3 to Evaluate Users’ Intention on Smartphone Usage." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/81753845808309198531.
Full text大葉大學
管理學院碩士在職專班
103
Smartphones have emerged as the most popular tools to improve and enhance efficiency. The factors that influence the adoption and acceptance of new product have always been the major concerns for product developments of smartphone. In order to realize factors influencing the users’ acceptances of smartphone, The purpose of this study is to investigate factors affecting an adoption decision for smartphone based on the Technology Acceptance Model 3(TAM3). This study is designed to survey users’ intention on smartphone usage systematically. The result of this study has confirmed that TAM3 is a useful theoretical model in understanding and explaining user’s intention in is usage. specifically, this empirical study result being derived based on statistical data demonstrates anchor, adjustment, perceived usefulness, and perceived ease of use to be the most important factors in influencing the user’s acceptance of smartphones. Additionally, the result of this empirical study can serve as a basis for future marketing strategy definition of mobile device vendors. Overall findings suggest that the conclusion of this finding can be used as a reference for future follow-up studies.
YEN, HSU-MEI, and 顏旭玫. "Exploring the Intention on Tablet Computer Usage based on Technology Acceptance Model 3." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/22747796706487984060.
Full text大葉大學
管理學院碩士在職專班
103
Along with the advances in information technology in recently years, the Tablet PC has been widely applied to solve problems on work or daily life, and also changed the way how people work or live. From its original model, TAM has evolved over time. The third generation Technology Acceptance Model (TAM3) will be introduced as the theoretic foundation for predicting the adoption of IT. The purpose of this study is to explore the factors affecting users’ intentions of the Tablet PC based on technology acceptance model 3 (TAM3). A questionnaire was designed to collect the empirical data for this study. Three hundred and sixty-four questionnaires including paper questionnaires and 84 online surveys were distributed and 362 valid samples were obtained after excluding 2 incomplete ones, yielding a 99.45% response rate. The results obtained from statistical data revealed that (1) perceived ease of use, perceived usefulness and subject norm have significant positive effects on intention of usage; (2) subject norm, perceived ease of use, image and job relevance have significant positive effects on perceived usefulness; (3) tablet PC self-efficacy, tablet PC anxiety, tablet PC playfulness and perceived enjoyment have also significant positive effects on perceived ease of use. Keywords: tablet PC, technology acceptance model 3 (TAM3), intention of use
Deng, Zhi-Ying, and 鄧芝穎. "Applying the Technology Acceptance Model 3 to Evaluate the Intention on Integrating Information Technology into Teaching." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/18086491646807966915.
Full text大葉大學
管理學院碩士在職專班
103
Interactive White Board has replaced the traditional face to face class room based teaching with the dynamic access of knowledge. Evidence is growing that interactive whiteboard (IWB) resourcing in schools can have a positive effect on young children’s attainment in the core subjects. IWB is an electronic instructional and interactive technology designed by use for teachers. The present study was framed using the Technology Acceptance Model 3(TAM 3) to identify determinants affecting behavioral intention to use Interactive White Board. A questionnaire was designed and used to collect empirical data to explain and predict factors affecting teachers’ usage intentions of Information Technology Integrated into Instruction. The empirical evidence obtained in this study confirms the efficiency of TAM 3. This study provides further evidence of the role of job relevance, output quality, result demonstrability, IWB self-efficacy and perceptions of external control in teachers’ decision to adopt the technology. The study presents the conclusion that this finding can be used as a reference for future follow-up studies. Further, this study results also can be regarded as a basis for future decision making of teachers’ decision to adopt the technology.
Chou, Cheng-hung, and 周政宏. "A Study of User Behavior in Hospital Information System with Technology Acceptance Model 3." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/80773544265237152398.
Full text世新大學
資訊管理學研究所(含碩專班)
101
The computerization has been affected many industries around the world. Medical information is not easy to execute under several effects such as change of health insurance policy, impact of e-commerce and complicated medical matters. However, all medical institutes try to reach the goal to improve medical quality, decrease costs and improve administrative efficiency. Base on Technology Acceptance Model 3, this study uses questionnaire to analyze factors of affecting users on hospital information system. The major empirical results were shown as follow: 1. Subjective norm was positively significant to image. 2. Job relevance, result demonstrability and perceived ease of use were positively significant to perceived usefulness. 3. Computer self-efficacy, computer anxiety, computer playfulness and perceived enjoyment were positively significant to perceived ease of use. 4. Subjective norm, perceived usefulness and perceived ease of use were positively significant to behavioral intention to use. 5. Behavioral intention to use was positively significant to actual system. Results of this study can be consideration before medical institutes implement the hospital information system, as well as recommendation after implementing. This study helps medical institutes to build more complete hospital information system.
ZHĀNG, XIÙ-FĒI, and 張秀妃. "The Impact of Intergenerational on Technology Acceptance Model 3 - A Case Study of the Smartphone." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/47u686.
Full text大葉大學
管理學院碩士在職專班
103
Abstract In recent years,with innovation and advancement of technology,the smartphone industry is becoming more competitive. The emergence of smartphone convenience of human life to become an indispensable belongings of people's Iives.This study aims to investigate heterogeneous purchasing intentions of consumers of different generations when buying the Smartphone, caused by their different growth backgrounds and life styles. In the past, literates have used the Technology Acceptance Model 3 (TAM 3) to explore Model of Consumer Behavior for the new technology products. Finally, they found a very good explanatory ability.This study employs technology acceptance model 3,TAM 3 as the basic model. Based on consumers of four generations as the research sample, this study adopts questionnaire survey to conduct pragmatic research to investigate the differences and similarities of different generations on buying the Smartphone, hoping to examine the value of management.When conducting data analysis, this study resorts to SPSS (Statistical Package for Social Science) as tools of analysis. The research results show that for consumers of different generations, Perceived Usefulness and Perceived Ease of Use have conspicuous influence on Behavior Intention. Subjective Norm, Image ,Job Relevance,Output Quality and Results Demonstrability have conspicuous influence on Perceived Usefulness. Smartphone Self-efficacy,Perceptions of External Control,Smartphone Anxiety,Smartphone Playfulness,Perceived Enjoyment and Objective Usability has conspicuous influence on Perceived Ease of Use. Moreover, variables such as Fame of the Website, Voluntariness and Experience are not proven. To consumers of different generations, there actually exists discrepancy between residential neighborhood and value set of life, which in turn results in different attitudes from different generations toward buying the Smartphone . Finally, we hope that the research results of this study can be helpful to future researches on the attitudes toward buying the smartphone。
Books on the topic "Technology Acceptance Model 3 (TAM3)"
Boden, Margaret A. 3. Language, creativity, emotion. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0003.
Full textBook chapters on the topic "Technology Acceptance Model 3 (TAM3)"
Nikolopoulos, Fotios, and Spiridon Likothanassis. "A Complete Evaluation of the TAM3 Model for Cloud Computing Technology Acceptance." In Lecture Notes in Computer Science, 289–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02671-4_17.
Full textKrempel, Erik, and Jürgen Beyerer. "TAM-VS: A Technology Acceptance Model for Video Surveillance." In Privacy Technologies and Policy, 86–100. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06749-0_6.
Full textBeselga, Daniela, and Bráulio Alturas. "Using the Technology Acceptance Model (TAM) in SAP Fiori." In Advances in Intelligent Systems and Computing, 575–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16181-1_54.
Full textIbrahim, Roslina, Rasimah Che Mohd Yusoff, Khalili Khalil, and Azizah Jaafar. "Factors Affecting Undergraduates’ Acceptance of Educational Game: An Application of Technology Acceptance Model (TAM)." In Lecture Notes in Computer Science, 135–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25200-6_14.
Full textBröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Christopher M. Schlick. "TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems." In HCI International 2016 – Posters' Extended Abstracts, 97–103. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40548-3_16.
Full textYang, Kenneth C. C., Gerald Ng Soon Chye, Jeannie Chan Su Fern, and Yowei Kang. "Understanding the Adoption of Mobile Commerce in Singapore with the Technology Acceptance Model (TAM)." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 211–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11845-1_73.
Full textKoksalmis, Gulsah Hancerliogullari, İbrahim Arpacı, and Emrah Koksalmis. "Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory." In Recent Innovations in Artificial Intelligence and Smart Applications, 105–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14748-7_6.
Full textMutahar, Ahmed M., Adnan Aldholay, Osama Isaac, Abdullah Nabeel Jalal, and Faten Elina Binti Kamaruddin. "The Moderating Role of Perceived Risk in the Technology Acceptance Model (TAM): The Context of Mobile Banking in Developing Countries." In Proceedings of International Conference on Emerging Technologies and Intelligent Systems, 389–403. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82616-1_34.
Full textPires, Péricles José, Bento Alves da Costa Filho, and João Carlos da Cunha. "Technology Readiness Index (TRI) Factors as Differentiating Elements between Users and Non Users of Internet Banking, and as Antecedents of the Technology Acceptance Model (TAM)." In Communications in Computer and Information Science, 215–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24355-4_23.
Full textBaharuddin, Har Einur Azrin, Airul Faizal Othman, Hamimah Adnan, and Noor Akmal Adillah Ismail. "Evaluating the Influence of Training on Attitudes to Building Information Modelling (BIM) Adoption in Malaysian Construction Industry by Using Extended Technology Acceptance Model (TAM)." In Collaboration and Integration in Construction, Engineering, Management and Technology, 577–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48465-1_95.
Full textConference papers on the topic "Technology Acceptance Model 3 (TAM3)"
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). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/miseic-18.2018.30.
Full textAdetimirin, Airen. "An Empirical Study of Online Discussion Forum by Library and Information Science (LIS) Postgraduate Students Using Technology Acceptance Model 3." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2230.
Full textSuryaningsih. "Analysis of Factors Which are Able to Influence the Admittance of BPJS Ketenagakerjaan Participants towards BPJSTK Mobile by using Technology Acceptance Model 3 (TAM 3)." In Unimed International Conference on Economics Education and Social Science. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0009506707980804.
Full textHayuningsih, Annisa Farida, and Heri Sutanta. "Utilizing Technology Acceptance Model (TAM) to Evaluate Data Sharing Facility of Spatial Data Infrastructures (SDIs) at the Local Government Level in Indonesia." In The 2nd International Conference on Technology for Sustainable Development. Switzerland: Trans Tech Publications Ltd, 2022. http://dx.doi.org/10.4028/p-4y9477.
Full textKusumastuti, Ratih, Derist Touriano, and Iskandar Sam. "Accrual-Based Accounting System Model Implementation in the State Budget and Treasury System with Technology Acceptance Model 3 Approach at the Regional Office V in the Directorate General of State Treasury of Jambi Province." In 4th Sriwijaya Economics, Accounting, and Business Conference. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008440904230431.
Full textParker, Mary Jo. "A STEM Model Encouraging Post-Baccalaureate Pathways for First Generation, Underrepresented Undergraduates." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9461.
Full textSampath, K., and E. J. Onesto. "A Comprehensive Approach for Advancing Plasma Spray Processing Technology." In ITSC 1996, edited by C. C. Berndt. ASM International, 1996. http://dx.doi.org/10.31399/asm.cp.itsc1996p0785.
Full textZouch, Mariem. "Data Science Adoption and Operationalization in the O&G Industry: Challenges and Solutions." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22172-ms.
Full textHuszár, Sándor, and Zoltán Majó-Petri. "What drives you to use a driverless car?" In The European Union’s Contention in the Reshaping Global Economy. Szeged: Szegedi Tudományegyetem Gazdaságtudományi Kar, 2020. http://dx.doi.org/10.14232/eucrge.2020.proc.3.
Full textHolland, Chase C., Thong Q. Do, Robert L. West, and Mehdi Ahmadian. "Insulated Railway Joint Design Methodology Through Parametric Finite Element Based Modeling." In 2010 Joint Rail Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/jrc2010-36022.
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