R/blockchain.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' blockchain Bayesian Network
#'
#' A machine learning based approach for predicting blockchain adoption in supply chain.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to predict the probability of blockchain adoption in an organization. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'   \item{BA}{Blockchain adoption (Low, High);}
#'   \item{COMPB}{Compatibility (Low, High);}
#'   \item{COMPX}{Complexity (Low, High);}
#'   \item{CP}{Competitive pressure (Low, High);;}
#'   \item{PEOU}{Perceived ease of use (Low, High);}
#'   \item{PFB}{Perceived financial benefits (Low, High);}
#'   \item{PR}{Partner readiness (Low, High);}
#'   \item{PU}{Perceived usefulness (Low, High);}
#'   \item{RA}{Relative advantage (Low, High);}
#'   \item{TE}{Training and education (Low, High);}
#'   \item{TKH}{Technical know-how (Low, High);}
#'   \item{TMS}{Top management support (Low, High);}
#' }
#'
#'  @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#'
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Kamble, S. S., Gunasekaran, A., Kumar, V., Belhadi, A., & Foropon, C. (2021). A machine learning based approach for predicting blockchain adoption in supply chain. Technological Forecasting and Social Change, 163, 120465.
"blockchain"