Volume 22, Issue 2 (Summer 2020)                   Advances in Cognitive Sciences 2020, 22(2): 102-110 | Back to browse issues page


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Taghva M R, Jalaeian Zaferani Z. Developing cognitive ecosystem model of cryptocurrency. Advances in Cognitive Sciences 2020; 22 (2) :102-110
URL: http://icssjournal.ir/article-1-1005-en.html
1- Assistant Professor of Computer Engineering, Management and Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran
2- PhD Student of Information Technology Management, Management and Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran
Abstract:   (3335 Views)
Introduction: The advancement of cognitive science in a field common to computer science is becoming one of the crucial ways to advance social, economic, technical, and computer science. Meanwhile, debates over the cryptocurrency and its ecosystem as a thing which is capable of transferring value across cyberspace have been evolving over the past decade. In contrast, the impact of cognitive science on the electronicization of life is evident. Today's innovations are developed by the semantic and cognitive interpretation components and characteristics of the human mind that work on the relationships between the real and the virtual world. Cryptocurrency, as an innovative phenomenon needs to be developed by the human mind’s semantic and cognitive interpretation components and characteristics.
Methods: according to the "Cognitive Banking Ecosystem" model developed by IBM in 2016 in five layers (core, key activities, capabilities, infrastructure, and tools). The present study uses the Strauss and Corbin version of the Grounded Theory to systematically analyze social processes in order to extract elements in each layer according to the exploratory nature of the research.
Results: The final model consists of the five main layers mentioned above and 24 elements that were approved by submitting a researcher-made questionnaire to the experts.
Conclusion: Since previous researches have focused on some part of the cryptocurrency ecosystem, the present study attempted to create a whole understanding of the cognitive coding ecosystem and to fill in the knowledge gap.
 

Full-Text [PDF 1059 kb]   (747 Downloads)    
Type of Study: Research |
Received: 2019/08/15 | Accepted: 2020/01/27 | Published: 2020/06/30

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