Convergence Of Blockchain, Iot, And Big Data: Driving Innovations In E-Commerce Ecosystems
Keywords:
Blockchain, IoT, Big Data, e-commerce, security, operational efficiency, supply chain, personalisation, optimisation, transaction, frameworkAbstract
Background Information: Blockchain provides security, the Internet of Things offers real-time information, and Big
Data enables analytics that enhance e-commerce performance. A significant challenge lies in integration.
Objectives: This study aims to improve transaction security, increase operational efficiency, enable personalisation,
increase supply chain transparency, and optimise decision-making in e-commerce using Blockchain, IoT, and Big
Data.
Methods: This novel framework fully integrates Blockchain, IoT, and Big Data to optimise e-commerce operations
through data analysis, simulation, and security protocols.
Results: The proposed method integrating IoMT, Big Data Analytics, Hadoop MapReduce, and Naïve Bayes achieved
superior performance with an accuracy of 97.1%. It outperformed individual and partial combinations, improving
healthcare monitoring and financial risk prediction efficiency in e-commerce networks.
Conclusion: Blockchain, IoT, and Big Data integration drive innovation in e-commerce by optimising processes,
enhancing security, and providing personalised experiences. The proposed framework offers a path forward for
businesses seeking to improve competitiveness in digital marketplaces.
