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dc.title | Cryptocurrency investment using the analytic hierarchy process | en |
dc.contributor.author | Nguyen, Tran Le | |
dc.contributor.author | Lien, Nguyen Thi Kim | |
dc.contributor.author | Tai, Do Nhu | |
dc.relation.ispartof | Lecture Notes in Networks and Systems | |
dc.identifier.issn | 2367-3370 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-303150817-2 | |
dc.date.issued | 2024 | |
utb.relation.volume | 848 | |
dc.citation.spage | 392 | |
dc.citation.epage | 402 | |
dc.event.title | 2nd International Conference on Advances in Information and Communication Technology, ICTA 2023 | |
dc.event.location | Thai Nguyen | |
utb.event.state-en | Vietnam | |
utb.event.state-cs | Vietnam | |
dc.event.sdate | 2023-12-13 | |
dc.event.edate | 2023-12-14 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media Deutschland GmbH | |
dc.identifier.doi | 10.1007/978-3-031-50818-9_42 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-031-50818-9_42#Ack1 | |
dc.relation.uri | https://doi.org/10.1007/978-3-031-50818-9_42 | |
dc.subject | bitcoin (BTC) | en |
dc.subject | blockchain | en |
dc.subject | cryptocurrency | en |
dc.subject | fintech | en |
dc.subject | multiple criteria decision-making (MCDM) | en |
dc.subject | portfolio selection | en |
dc.description.abstract | Paired with digital currency, blockchain technology has gained immense popularity due to its transformative effects on traditional business processes. This research relies on secondary data from academic literature to identify influential factors in investors’ cryptocurrency decisions. Financial experts’ judgment employs descriptive analysis and a normative research approach. Addressing gaps, Analytic Hierarchy Process (AHP) model contributes to a comprehensive understanding of cryptocurrency indicators, combining fundamental and technical analyses. The outcome is an AHP model with a critical ranking of 15 criteria for multicriteria decision-making, encompassing five groups: crypto profile, economics, technical, social, and risk factors, all drawn from prior research. The paper finds that the technical analysis group is less important than other groups. Moreover, the indicator of market capital is the most significant to consider for cryptocurrency analysis before investment. This approach introduces a psychological dimension to investors’ choices, enhancing rational decisions in the digital currency realm and aiming to maximize investment profits. | en |
utb.faculty | Faculty of Management and Economics | |
dc.identifier.uri | http://hdl.handle.net/10563/1011850 | |
utb.identifier.obdid | 43884828 | |
utb.identifier.scopus | 2-s2.0-85181982321 | |
utb.source | d-scopus | |
dc.date.accessioned | 2024-02-14T13:51:52Z | |
dc.date.available | 2024-02-14T13:51:52Z | |
dc.description.sponsorship | Đại học Kinh tế Thành phố Hồ Chí Minh | |
utb.contributor.internalauthor | Nguyen, Tran Le | |
utb.fulltext.sponsorship | This research was funded by University of Economics Ho Chi Minh City, Vietnam. | |
utb.scopus.affiliation | Ho Chi Minh University of Banking - HUB, Ho Chi Minh City, Viet Nam; Tomas Bata University in Zlin - TBU, Zlin, Czech Republic; Asia Eastern University of Science and Technology, Taipei, Taiwan; Institute of Intelligent and Interactive Technologies, University of Economics Ho Chi Minh CityUEH, Ho Chi Minh City, Viet Nam | |
utb.fulltext.projects | - |
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