TY - GEN
T1 - Computation of Blockchain Readiness Under Partial Information
AU - Iosif, Elias
AU - Christodoulou, Klitos
AU - Vlachos, Andreas
N1 - Funding Information:
This research was funded by the Ripple?s Impact Fund, an advised fund of Silicon Valley Community Foundation (Grant id: 2018-188546).
Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Blockchain business intelligence
KW - Blockchain readiness index
KW - Classification models
UR - http://www.scopus.com/inward/record.url?scp=85125279999&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-95947-0_7
DO - 10.1007/978-3-030-95947-0_7
M3 - Conference contribution
AN - SCOPUS:85125279999
SN - 9783030959463
T3 - Lecture Notes in Business Information Processing
SP - 87
EP - 101
BT - Information Systems - 18th European, Mediterranean, and Middle Eastern Conference, EMCIS 2021, Proceedings
A2 - Themistocleous, Marinos
A2 - Papadaki, Maria
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2021
Y2 - 8 December 2021 through 9 December 2021
ER -