Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach
作者:
Highlights:
• Crafting a cryptocurrency mining strategy is a multi-faceted decision problem.
• A hybrid decision-support methodology is developed for strategy identification
• A multi-expert knowledge elicitation process is employed.
• AHP and TOPSIS methods are synergistically used to rank the alternative strategies.
• Cloud-based mining is found to ne the best overall cryptocurrency strategy.
摘要
Crafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers' performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS techniques, along with sensitivity analysis. The results show that hosted mining is the overall best cryptocurrency mining strategy, followed by home mining and cloud mining, based on both total cost of operations and cryptocurrency payout criteria. The empirical findings also suggest that the critical features of the highest performing service providers (i.e., hosted mining strategies and cloud mining) were their flexibility of contracts and the superior efficiency in terms of the daily payout. Finally, of the three location alternatives for home mining, Turkey ranks first compared to the U.S. and Europe.
论文关键词:AHP,Bitcoin,Cloud mining,Cryptocurrency mining,Fuzzy-TOPSIS,Hosted mining
论文评审过程:Received 11 August 2020, Revised 22 November 2020, Accepted 8 December 2020, Available online 14 December 2020, Version of Record 26 January 2021.
论文官网地址:https://doi.org/10.1016/j.dss.2020.113473