Blockchain Technology Adoption in Smart Learning Environments
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Osama Alfarraj | Ahmed Ibrahim Alzahrani | Fahad Mohammed Alblehai | Waleed Mugahed Al-Rahmi | Nazir Ullah | O. Alfarraj | A. Alzahrani | Nazir Ullah | Fahad Alblehai | Waleed Mugahed Al-rahmi | Osama Alfarraj
[1] Arab Ali Chérif,et al. Towards a New Ubiquitous Learning Environment Based on Blockchain Technology , 2017, 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT).
[2] Marijn Janssen,et al. Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions – insights from user-generated content on Twitter , 2019, Enterp. Inf. Syst..
[3] Paul Brody,et al. The next digital gold rush: how the internet of things will create liquid, transparent markets , 2015 .
[4] Berry Schoenmakers,et al. The Adoption Process of Cryptocurrencies - Identifying factors that influence the adoption of cryptocurrencies from a multiple stakeholder perspective , 2014 .
[5] Mahdi M. Alamri,et al. The Role of Compatibility and Task-Technology Fit (TTF): On Social Networking Applications (SNAs) Usage as Sustainability in Higher Education , 2020, IEEE Access.
[6] Taeyong Yang,et al. Understanding the diffusion and adoption of Bitcoin transaction services: The integrated approach , 2020, Telematics Informatics.
[7] Marijn Janssen,et al. Diffusion of blockchain technology , 2019, J. Enterp. Inf. Manag..
[8] T. Greenhalgh,et al. Introduction of shared electronic records: multi-site case study using diffusion of innovation theory , 2008, BMJ : British Medical Journal.
[9] Europe Singh,et al. Learning theory and online technologies , 2014 .
[10] Volker Roth,et al. New Directions for Trust in the Certificate Authority Ecosystem , 2018, ArXiv.
[11] Fred D. Davis,et al. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .
[12] Valerie L. Vaccaro,et al. B2B green marketing and innovation theory for competitive advantage , 2009, J. Syst. Inf. Technol..
[13] Svein Ølnes,et al. Beyond Bitcoin Enabling Smart Government Using Blockchain Technology , 2016, EGOV.
[14] Florian Hawlitschek,et al. The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy , 2018, Electron. Commer. Res. Appl..
[15] C. Fornell,et al. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics , 1981 .
[16] Proceso Fernandez,et al. CredenceLedger: A Permissioned Blockchain for Verifiable Academic Credentials , 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).
[17] Bih-Shiaw Jaw,et al. Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study , 2020, Sustainability.
[18] A. Parasuraman,et al. Technology Readiness Index (Tri) , 2000 .
[19] Eldon Y. Li,et al. Integrating Innovation Diffusion Theory and the Technology Acceptance Model: The adoption of blockchain technology from business managers’ perspective , 2017 .
[20] Nian-Shing Chen,et al. Exploring blockchain technology and its potential applications for education , 2018, Smart Learning Environments.
[21] Miftachul Huda,et al. Big Data Emerging Technology: Insights into Innovative Environment for Online Learning Resources , 2018, Int. J. Emerg. Technol. Learn..
[22] Rudolf Ruland,et al. Blockchain for Education: Lifelong Learning Passport , 2020, ERCIM News.
[23] Ephraim R. McLean,et al. Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..
[24] M. Miller,et al. Sample Size Requirements for Structural Equation Models , 2013, Educational and psychological measurement.
[25] Mohammed Amin Almaiah,et al. Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education , 2019, IEEE Access.
[26] Barbara Means,et al. Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies , 2009 .
[27] On the Performance of RESET and Durbin Watson Tests inDetecting Specification Error , 2014 .
[28] Geoff Willis,et al. Supply chain learning, integration, and flexibility performance: an empirical study in India , 2016 .
[29] Francisco J. García-Peñalvo,et al. Privacy and identity management in Learning Analytics processes with Blockchain , 2018, TEEM.
[30] Lee T. Ostrom,et al. Using Likert-Type Scales in the Social Sciences. , 2011 .
[31] Maik Moeller,et al. Learning In Adulthood A Comprehensive Guide , 2016 .
[32] Keenan A. Pituch,et al. The influence of system characteristics on e-learning use , 2006, Comput. Educ..
[33] Tatsuya Sato,et al. Smart-Contract Based System Operations for Permissioned Blockchain , 2018, 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS).
[34] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[35] Eduardo Salas,et al. E-Learning in Organizations , 2005 .
[36] A. Alzahrani,et al. Digital Communication: Information and Communication Technology (ICT) Usage for Education Sustainability , 2020 .
[37] Edward Shih-Tse Wang. Perceived control and gender difference on the relationship between trialability and intent to play new online games , 2014, Comput. Hum. Behav..
[38] Ahmed Aldraiweesh,et al. Massive open online courses (MOOCS): systematic literature review in Malaysian higher education , 2018, International Journal of Engineering & Technology.
[39] Dirk Neumann,et al. Dynamics of Blockchain Implementation - A Case Study from the Energy Sector , 2018, HICSS.
[40] Samuel Fosso Wamba,et al. Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA , 2019, Int. J. Inf. Manag..
[41] Rongfang Bie,et al. Blockchain-enabled digital rights management for multimedia resources of online education , 2019, Multimedia Tools and Applications.
[42] Blake Ives,et al. Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effectiveness in Basic It Skills Training Author(s): Piccoli Et Al./web-based Virtual Learning Environments Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effe , 2022 .
[43] Paul Jen-Hwa Hu,et al. Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..
[44] Achmad Nizar Hidayanto,et al. The Affecting Factors of Blockchain Technology Adoption of Payments Systems in Indonesia Banking Industry , 2018, 2018 International Conference on Information Management and Technology (ICIMTech).
[45] Yogesh Kumar Dwivedi,et al. Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research , 2014, Inf. Syst. Manag..
[46] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[47] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[48] Mohammad S. Khan,et al. Validation of TAM Model on Social Media Use for Collaborative Learning to Enhance Collaborative Authoring , 2019, IEEE Access.
[49] Julita Vassileva,et al. User Acceptance of Usable Blockchain-Based Research Data Sharing System: An Extended TAM-Based Study , 2019, 2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
[50] Zhang Zhe,et al. A review on consensus algorithm of blockchain , 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[51] Merija Jirgensons,et al. Blockchain and the Future of Digital Learning Credential Assessment and Management , 2018, Journal of Teacher Education for Sustainability.
[52] Angappa Gunasekaran,et al. Understanding the Blockchain technology adoption in supply chains-Indian context , 2018, Int. J. Prod. Res..
[53] Bill C. Hardgrave,et al. Investigating Determinants of Software Developers' Intentions to Follow Methodologies , 2003 .
[54] Miltiadis D. Lytras,et al. Social Commerce as a Driver to Enhance Trust and Intention to Use Cryptocurrencies for Electronic Payments , 2018, IEEE Access.
[55] Marc A. Tomiuk,et al. A Comparative Study on Parameter Recovery of Three Approaches to Structural Equation Modeling , 2010 .
[56] I. E. Allen,et al. Learning on Demand: Online Education in the United States, 2009. , 2010 .
[57] David Metcalf,et al. The Hyperledger Project , 2017 .
[58] Chorng-Shyong Ong,et al. Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies , 2004, Inf. Manag..
[59] F. George. PSYCHOLOGICAL THEORY OF LEARNING , 1961 .
[60] Mohammed Amin Almaiah,et al. Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage , 2020, IEEE Access.
[61] Yusri Kamin,et al. Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying , 2020, Interact. Learn. Environ..
[62] Garry Wei-Han Tan,et al. Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs , 2020, Int. J. Inf. Manag..
[63] Hiroaki Ogata,et al. Connecting decentralized learning records: a blockchain based learning analytics platform , 2018, LAK.
[64] Diane J Skiba,et al. The Potential of Blockchain in Education and Health Care. , 2017, Nursing education perspectives.
[65] Su-Chao Chang,et al. An empirical investigation of students' behavioural intentions to use the online learning course websites , 2007, Br. J. Educ. Technol..
[66] Yusri Kamin,et al. Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems , 2019, Interact. Learn. Environ..
[67] Sung-Joon Yoon,et al. Validation of Haptic Enabling Technology Acceptance Model (HE-TAM): Integration of IDT and TAM , 2014, Telematics Informatics.
[68] Maciel M. Queiroz,et al. Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation , 2020 .
[69] Brijesh Dongol,et al. A blockchain-enabled e-learning platform , 2020, Interact. Learn. Environ..
[70] Jennifer P. Lundblad,et al. A Review and Critique of Rogers' Diffusion of Innovation Theory as It Applies to Organizations , 2003 .
[71] Matthias Mettler,et al. Blockchain technology in healthcare: The revolution starts here , 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).
[72] Claus Pahl,et al. An evaluation technique for content interaction in Web-based teaching and learning environments , 2003, Proceedings 3rd IEEE International Conference on Advanced Technologies.
[73] Joseph Sarkis,et al. Blockchain technology and its relationships to sustainable supply chain management , 2018, Int. J. Prod. Res..
[74] Rachna Shah,et al. Use of structural equation modeling in operations management research: Looking back and forward ☆ , 2006 .
[75] 김준환,et al. The Effects of Technostress from using Blockchain on the Technology Acceptance Model(TAM) , 2019 .
[76] M. Battour,et al. Malaysian Muslim investors’ behaviour towards the blockchain-based Bitcoin cryptocurrency market , 2020 .
[77] Osama Alfarraj,et al. Integrated Three Theories to Develop a Model of Factors Affecting Students’ Academic Performance in Higher Education , 2019, IEEE Access.
[78] Ahmed A. El-Masry,et al. Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust , 2016, Comput. Hum. Behav..
[79] Zibin Zheng,et al. An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends , 2017, 2017 IEEE International Congress on Big Data (BigData Congress).
[80] Shirley Gregor,et al. A comparative analysis of strategies for egovernment in developing countries , 2014 .
[81] R. Parente. Digitalization, Consumer Social Responsibility, and Humane Entrepreneurship: Good news from the future? , 2020 .
[82] David L Loudon,et al. Physicians' Adoption of Pharmaceutical E-Detailing: Application of Rogers' Innovation-Diffusion Model , 2009 .
[83] C. Fosnot. Constructivism: a psychological theory of learning , 1996 .
[84] Eugene Everard Etsebeth. Trialability, perceived risk and complexity of understanding as determinants of cloud computing services adoption , 2013 .
[85] John Domingue,et al. The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward , 2016, EC-TEL.
[86] Ritu Agarwal,et al. Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .
[87] M. Kara. Distance education: a systems view of online learning , 2020 .
[88] R. Dunlea. Online Education in the United States, 2005 , 2005 .
[89] E. Rogers. Diffusion of Innovations: Modifications of a Model for Telecommunications , 1995 .
[90] Isabell M. Welpe,et al. Disrupting Industries with Blockchain: The Industry, Venture Capital Funding, and Regional Distribution of Blockchain Ventures , 2018, HICSS.
[91] Chen-Yuan Chen,et al. An enhanced acceptance model for exploring user intention towards virtual reality environment: Partial least squares (PLS) statistical method , 2012 .
[92] Marko Hölbl,et al. EduCTX: A Blockchain-Based Higher Education Credit Platform , 2017, IEEE Access.
[93] Marko Sarstedt,et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .
[94] Gönenç Gürkaynak,et al. Intellectual Property Law and Practice in the Blockchain Realm , 2018, Comput. Law Secur. Rev..
[95] B. Lin,et al. The blockchain-based Halal traceability systems: a hype or reality? , 2020, Supply Chain Management: An International Journal.
[96] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[97] Joseph F. Hair,et al. When to use and how to report the results of PLS-SEM , 2019, European Business Review.
[98] Mun Y. Yi,et al. Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..
[99] C. Midden,et al. INNOVATING ‘DIFFUSION OF INNOVATION’ THEORY: INNOVATION CHARACTERISTICS AND THE INTENTION OF UTILITY COMPANIES TO ADOPT ENERGY CONSERVATION INTERVENTIONS , 2002 .