Comparisons of Bitcoin Cryptosystem with Other Common Internet Transaction Systems by AHP Technique

Maček, Davor; Alagić, Dino

doi:10.31341/jios.41.1.5

Cited by 10 publications

(9 citation statements)

References 13 publications

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“…Hacioglu et al [66] employed the combined approach of AHP and F-TOPSIS to create cryptocurrency mining strategies. Maček and Alagić [67] evaluated the performance of the bitcoin cryptosystem with AHP. Applying fuzzy CODAS, Katrancı and Kundakcı [68] assessed some cryptocurrencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology

Ecer

Böyükaslan

Zolfani

2022

Axioms

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Blockchain technologies, which form the basis of Industry 4.0, paved the way for cryptocurrencies to emerge as technological innovation in the technology age. Recently, investors worldwide have been interested in cryptocurrencies with increasing acceleration due to high earning expectations though they have no backing and intrinsic value. As such, this paper seeks to identify the most proper cryptocurrencies from an investment standpoint in our technological era. Fifteen well-known cryptocurrencies with the highest market capitalization are evaluated as per sixteen factors. An intuitionistic fuzzy set-driven methodology incorporating Evaluation Based on Distance from Average Solution (EDAS), Multi-Attributive Ideal Real Comparative Analysis (MAIRCA, and Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS), which is the study’s prominent novelty, has been applied to provide a strong group decision vehicle for cryptocurrency selection. Notwithstanding, although the results obtained with the three approaches are highly consistent, investors would not like to doubt the instrument they will invest in. The Borda count is then applied to obtain a compromise for the rankings obtained from each approach. As per our findings, Ethereum, Tether, and Bitcoin are the most suitable cryptocurrencies, whereas reliable software, ease of inclusion in the wallet, and stability are the foremost factors to consider when investing in cryptocurrencies. The findings are further discussed in detail from a financial perspective. The proposed approach could be employed to select different investment instruments in future studies.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology

Ecer

Böyükaslan

Zolfani

2022

Axioms

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“…This MCDM approach considers a hierarchical structure of objectives, criteria, and alternatives to make complex decisions. Maček and Alagić [17] present an AHP-based approach to evaluate the security characteristics of the Bitcoin cryptocurrency system in comparison to other widely used online transaction systems.…”

Section: Related Workmentioning

confidence: 99%

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

Farshidi

Jansen

España

et al. 2020

IEEE Trans. Eng. Manage.

142

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Blockchain technology has received significant attention recently, as it offers a reliable decentralized infrastructure for all kinds of business transactions. Software-producing organizations are increasingly considering blockchain technology for inclusion into their software products. Selecting the best fitting blockchain platform requires the assessment of its functionality, adaptability, and compatibility to the existing software product. Novice software developers and architects are not experts in every domain, so they should either consult external experts or acquire knowledge themselves. The decision-making process gets more complicated as the number of decision-makers, alternatives, and criteria increases. Hence, a decision model is required to externalize and organize knowledge regarding the blockchain platform selection context. Recently, we designed a decision support system to use such decision models to support decision-makers with their technology selection problems in software production. In this article, we introduce a decision model for the blockchain platform selection problem. The decision model has been evaluated through three real-world case studies at three software-producing organizations. The case-study participants asserted that the approach provides significantly more insight into the blockchain platform selection process, provides a richer prioritized option list than if they had done their research independently, and reduces the time and cost of the decision-making process.

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“…Čičin-Šain (2017) found out that the "Croatian income/profit tax system is adequate to accommodate all the tax problems regarding the taxation of the transfer of BitCoin and therefore there is no need to adopt a new regulation". Maček et al (2017) researched the safety aspects of the Bitcoin IT network and concluded that in comparison with e-banking or m-banking as well as with all the aspects of e-commerce, Bitcoin is the least important for the stable IT business". Turudić et al (2017) considered the usage of the cryptocurrencies in international exchange business and concluded that "the Blockchain has limitless applications in the international exchange business and consequently there will be more and more companies that will internally use the Blockchain technology for the international exchange business".…”

Section: Literature Reviewmentioning

confidence: 99%

Statistical Analysis of the Most Influential Cryptocurrencies

Jurić¹,

Šimičević

Kajba

2019

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. AbstractA comparison of the most 30 influential cryptocurrencies has been made, based on the "CoinMarketCap" web page. Over the last few years, an increasing number of the world's population is investing in the cryptocurrency market. The emphasis is placed on Bitcoin, which is the absolute leader on this market. The difference between electronic money and virtual currency is explained, followed by the history of crypto values. Finally, the statistical analysis of the most influential cryptocurrencies, during the last year, will be presented.

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Comparisons of Bitcoin Cryptosystem with Other Common Internet Transaction Systems by AHP Technique

Cited by 10 publications

References 13 publications

Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology

Evaluation of Cryptocurrencies for Investment Decisions in the Era of Industry 4.0: A Borda Count-Based Intuitionistic Fuzzy Set Extensions EDAS-MAIRCA-MARCOS Multi-Criteria Methodology

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

Statistical Analysis of the Most Influential Cryptocurrencies

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