A machine learning based approach for predicting blockchain adoption in supply Chain

Sachin S. Kamble; Angappa Gunasekaran; Vikas Kumar; Amine Belhadi; Cyril Foropon

doi:10.1016/j.techfore.2020.120465

A machine learning based approach for predicting blockchain adoption in supply Chain

Sachin S. Kamble, Angappa Gunasekaran^*, Vikas Kumar, Amine Belhadi, Cyril Foropon

^*Corresponding author for this work

Faculty of Business, Law and Social Sciences

Research output: Contribution to journal › Article › peer-review

221 Citations (SciVal)

Original language	English
Article number	120465
Journal	Technological Forecasting and Social Change
Volume	163
DOIs	https://doi.org/10.1016/j.techfore.2020.120465
Publication status	Published (VoR) - Feb 2021

Keywords

Bayesian network
Blockchain
Machine learning
Predictive analytics
TAM
TOE

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10.1016/j.techfore.2020.120465

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title = "A machine learning based approach for predicting blockchain adoption in supply Chain",

keywords = "Bayesian network, Blockchain, Machine learning, Predictive analytics, TAM, TOE",

author = "Kamble, {Sachin S.} and Angappa Gunasekaran and Vikas Kumar and Amine Belhadi and Cyril Foropon",

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T1 - A machine learning based approach for predicting blockchain adoption in supply Chain

AU - Kamble, Sachin S.

AU - Gunasekaran, Angappa

AU - Kumar, Vikas

AU - Belhadi, Amine

AU - Foropon, Cyril

PY - 2021/2

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KW - Bayesian network

KW - Blockchain

KW - Machine learning

KW - Predictive analytics

KW - TAM

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JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

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A machine learning based approach for predicting blockchain adoption in supply Chain

Keywords

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