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Title |
Enhancing Entrepreneurial Ecosystems through Blockchain and Reinforcement Learning Integration for Dynamic Resource Optimization |
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Author |
Rahaf A Almarzouki |
| Citation |
Vol. 25 No. 8 pp. 190-204 |
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Abstract |
Integrating blockchain into entrepreneurship ecosystems has emerged as a game-changing solution for reducing inefficiencies, increasing transparency and optimizing the use of resources. Nevertheless, blockchain frameworks today do not adapt well to the entrepreneur landscape as it lacks scaling, fixed resource distribution, and intelligent decision support. This paper introduces a new system, combining Hyperledger Fabric with reinforcement learning to produce a dynamic, scalable, intelligent system for entrepreneurial applications. The new model leverages Hyperledger Fabric’s permissioned blockchain to offer more scalability, security, and faster transaction speed. In the meantime, a reinforcement learning agent allows resource optimization and adaptive decisions in real time. The model uses cross-chain communication for interoperability across multiple blockchain networks, overcoming the major interoperability bottlenecks. Overall statistics and iterative comparisons confirm that efficiency has gone up by 40%, transparency score by 31.4%, and efficiency of using resources by 35.4%. It also achieved a 50 per cent reduction in disputes resolution times and 53.3% increase in verified transactions, indicating its effectiveness for operating trust and transparency. The study contributes to the state of knowledge by filling gaps in existing blockchain-based entrepreneurship solutions and creating a mixed system bringing the advantages of blockchain and artificial intelligence together. The findings provide concrete and theoretical implications that will be useful in further developments in entrepreneurial ecosystems. |
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Keywords |
Blockchain, Entrepreneurship, Reinforcement Learning, Resource Optimization, Transparency, Scalability, Cross-Chain Communication. |
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