Paper Info
Title
Computation of Blockchain Readiness Under Partial Information
Abstract
As the blockchain ecosystem gets more mature many businesses, investors, and entrepreneurs are seeking opportunities on working with blockchain systems and cryptocurrencies. A critical challenge for these actors is to identify the most suitable environment to start or evolve their businesses. In general, the question is to identify which countries are offering the most suitable conditions to host their blockchain-based activities and implement their innovative projects. The Blockchain Readiness Index (BRI) provides a numerical metric (referred to as the blockchain readiness score) in measuring the maturity/readiness levels of a country in adopting blockchain and cryptocurrencies. In doing so, BRI leverages on techniques from information retrieval to algorithmically derive an index ranking for a set of countries. The index considers a range of indicators organized under five pillars: Government Regulation, Research, Technology, Industry, and User Engagement. In this paper, we further extent BRI with the capability of deriving the index - at the country level - even in the presence of missing information for the indicators. In doing so, we are proposing two weighting schemes namely, linear and sigmoid weighting for refining the initial estimates for the indicator values. A classification framework was employed to evaluate the effectiveness of the developed techniques which yielded to a significant classification accuracy.
Year
DOI
Venue
2021
10.1007/978-3-030-95947-0_7
INFORMATION SYSTEMS (EMCIS 2021)
Keywords
DocType
Volume
Blockchain readiness index, Blockchain business intelligence, Classification models
Conference
437
ISSN
Citations 
PageRank 
1865-1348
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Elias Iosif100.34
Klitos Christodoulou212.04
Andreas Vlachos301.01