IDEAS home Printed from https://ideas.repec.org/r/plo/pone00/0247582.html

The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mohamed Bouteraa & Brahim Chekima & Nelson Lajuni & Ayesha Anwar, 2023. "Understanding Consumers’ Barriers to Using FinTech Services in the United Arab Emirates: Mixed-Methods Research Approach," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
  2. Bin-Nashwan, Saeed Awadh & Sadallah, Mouad & Bouteraa, Mohamed, 2023. "Use of ChatGPT in academia: Academic integrity hangs in the balance," Technology in Society, Elsevier, vol. 75(C).
  3. Chenlu Dang & Fan Wang & Zimo Yang & Hongxia Zhang & Yufeng Qian, 2022. "RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and deep learning model," Operations Management Research, Springer, vol. 15(3), pages 662-675, December.
  4. Larbi-Siaw, Otu & Xuhua, Hu & Owusu, Ebenezer & Owusu-Agyeman, Abigail & Fulgence, Brou Ettien & Frimpong, Samuel Akwasi, 2022. "Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies," Technology in Society, Elsevier, vol. 68(C).
  5. Chen, Xia & Miraz, Mahadi Hasan & Gazi, Md. Abu Issa & Rahaman, Md. Atikur & Habib, Md. Mamun & Hossain, Abu Ishaque, 2022. "Factors affecting cryptocurrency adoption in digital business transactions: The mediating role of customer satisfaction," Technology in Society, Elsevier, vol. 70(C).
  6. Zhengtang Fu & Peiwu Dong & Siyao Li & Yanbing Ju, 2021. "An intelligent cross-border transaction system based on consortium blockchain: A case study in Shenzhen, China," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-22, June.
  7. Albahri, A.S. & Alnoor, Alhamzah & Zaidan, A.A. & Albahri, O.S. & Hameed, Hamsa & Zaidan, B.B. & Peh, S.S. & Zain, A.B. & Siraj, S.B. & Alamoodi, A.H. & Yass, A.A., 2021. "Based on the multi-assessment model: Towards a new context of combining the artificial neural network and structural equation modelling: A review," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
  8. K. Kajol & Srijanani Devarakonda & Ranjit Singh & H. Kent Baker, 2025. "Drivers influencing the adoption of cryptocurrency: a social network analysis approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-25, December.
  9. Ashaari, Mohamed Azlan & Singh, Karpal Singh Dara & Abbasi, Ghazanfar Ali & Amran, Azlan & Liebana-Cabanillas, Francisco J., 2021. "Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  10. Drăgan, George Bogdan & Ben Arfi, Wissal & Tiberius, Victor & Ammari, Aymen & Khvatova, Tatiana, 2025. "Navigating the green wave: Understanding behavioral antecedents of sustainable cryptocurrency investment," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  11. Călin Florin Băban & Marius Băban, 2022. "An Orchestration Perspective on Open Innovation between Industry–University: Investigating Its Impact on Collaboration Performance," Mathematics, MDPI, vol. 10(15), pages 1-23, July.
  12. Hwang Kim, 2024. "An empirical analysis of navigation behaviors across stock and cryptocurrency trading platforms: implications for targeting and segmentation strategies," Electronic Commerce Research, Springer, vol. 24(3), pages 2113-2141, September.
  13. Shyama Gaur & Harshit Singh & Riju Chaudhary, 2025. "Sentiment-driven forecasting: enhancing cryptocurrency price prediction with biLSTM and DistilBERT," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(9), pages 3198-3208, September.
  14. Mark P. Doblas & Jishanis Mae G. Becaro & Jayendira P. Sankar & Vinodh K. Natarajan & Yoganandham G. & Arumugasamy G., 2024. "Testing Integrative Models of the Change Behavior in the Intention to Adopt Cryptocurrency," SAGE Open, , vol. 14(2), pages 21582440241, May.
  15. Ashish Ashok Uikey & Zericho Marak & Dhoha Alsaleh & Ruturaj Baber, 2024. "Decoding Intentions to Purchase Organic Food Products in an Emerging Economy via Artificial Neural Networks," Post-Print hal-04861233, HAL.
  16. Ghazanfar Ali Abbasi & Noor Fareen Abdul Rahim & Hongyan Wu & Mohammad Iranmanesh & Benjamin Ng Chee Keong, 2022. "Determinants of SME’s Social Media Marketing Adoption: Competitive Industry as a Moderator," SAGE Open, , vol. 12(1), pages 21582440211, January.
  17. Uikey, Ashish Ashok & Marak, Zericho R. & AlSaleh, Dhoha & Baber, Ruturaj, . "Decoding intentions to purchase organic food products in an emerging economy via artificial neural networks," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 10(4).
  18. Basco, Rodrigo & Hair, Joseph F. & Ringle, Christian M. & Sarstedt, Marko, 2022. "Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression," Journal of Family Business Strategy, Elsevier, vol. 13(3).
  19. Bouebdallah, Najla & Ben Youssef, Wissem Ajili, 2025. "Assessing students’ intention to adopt generative artificial intelligence," Journal of Accounting Education, Elsevier, vol. 72(C).
  20. Mohammad El Hajj & Imad Farran, 2024. "The Cryptocurrencies in Emerging Markets: Enhancing Financial Inclusion and Economic Empowerment," JRFM, MDPI, vol. 17(10), pages 1-27, October.
  21. Mauro Aliano & Stefania Ragni, 2026. "Game-based modeling of delayed risk contagion in cryptocurrency exchanges," Annals of Operations Research, Springer, vol. 356(1), pages 277-299, January.
  22. Sudersan Behera & Sarat Chandra Nayak & A. V. S. Pavan Kumar, 2024. "Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1219-1258, August.
  23. Messner, Wolfgang, 2024. "Exploring multilevel data with deep learning and XAI: The effect of personal-care advertising spending on subjective happiness," International Business Review, Elsevier, vol. 33(1).
  24. Bommer, William H. & Milevoj, Emil & Rana, Shailesh, 2023. "The intention to use cryptocurrency: A meta-analysis of what we know," Emerging Markets Review, Elsevier, vol. 55(C).
  25. Munish Gupta & Sanjay Taneja & Vikas Sharma & Amandeep Singh & Ramona Rupeika-Apoga & Kshitiz Jangir, 2023. "Does Previous Experience with the Unified Payments Interface (UPI) Affect the Usage of Central Bank Digital Currency (CBDC)?," JRFM, MDPI, vol. 16(6), pages 1-23, May.
  26. Gudergan, Siegfried P. & Moisescu, Ovidiu I. & Radomir, Lăcrămioara & Ringle, Christian M. & Sarstedt, Marko, 2025. "Special issue editorial: Advanced partial least squares structural equation modeling (PLS-SEM) applications in business research," Journal of Business Research, Elsevier, vol. 188(C).
  27. Kanellos Toudas & Démétrios Pafos & Paraskevi Boufounou & Athanasios Raptis, 2024. "Cryptocurrency, Gold, and Stock Exchange Market Performance Correlation: Empirical Evidence," FinTech, MDPI, vol. 3(2), pages 1-13, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.