Tokenization in Industry 4.0: Exploring Use Cases, Strategic Implications, and the B-FIT Framework for Digital Transformation

Digital transformation, a fundamental aspect of Industry 4.0, integrates advanced technologies such as big data, cloud computing, machine learning, artificial intelligence, and the Internet of Things (IoT) to modernize traditional service industries. Among these innovations, blockchain-enabled tokenization stands out for its ability to digitally represent assets and processes, enhancing transparency, efficiency, and service delivery. This paper explores the strategic implications of tokenization in service-oriented industries, including finance, real estate, supply chain management, and public services, demonstrating its potential to improve traditional processes rather than solely driving digital economies. A central focus is the B-FIT Framework, which evaluates the readiness and impact of tokenization across various sectors. This framework provides a structured approach to blockchain adoption, addressing key challenges such as regulatory compliance, technological integration, and stakeholder engagement. The findings suggest that industry-specific strategies are essential for leveraging tokenization to enhance service quality, operational efficiency, and innovation within traditional service models.

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Published
2025-06-17
DOI
https://doi.org/10.46254/na10.20250080
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Tokenization in Industry 4.0: Exploring Use Cases, Strategic Implications, and the B-FIT Framework for Digital Transformation

Arvin Shadravan, Hamid R. Parsaei, Zhongyuan Li
Big Data and Business Intelligence
article

Tokenization in Industry 4.0: Exploring Use Cases, Strategic Implications, and the B-FIT Framework for Digital Transformation

Arvin Shadravan, Hamid R. Parsaei, Zhongyuan Li
article en

Abstract

Digital transformation, a fundamental aspect of Industry 4.0, integrates advanced technologies such as big data, cloud computing, machine learning, artificial intelligence, and the Internet of Things (IoT) to modernize traditional service industries. Among these innovations, blockchain-enabled tokenization stands out for its ability to digitally represent assets and processes, enhancing transparency, efficiency, and service delivery. This paper explores the strategic implications of tokenization in service-oriented industries, including finance, real estate, supply chain management, and public services, demonstrating its potential to improve traditional processes rather than solely driving digital economies. A central focus is the B-FIT Framework, which evaluates the readiness and impact of tokenization across various sectors. This framework provides a structured approach to blockchain adoption, addressing key challenges such as regulatory compliance, technological integration, and stakeholder engagement. The findings suggest that industry-specific strategies are essential for leveraging tokenization to enhance service quality, operational efficiency, and innovation within traditional service models.

Texas College (US), Texas A&M University (US)
Openalex Percentile: Top 57%
Big Data and Business Intelligence
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Tokenization in Industry 4.0: Exploring Use Cases, Strategic Implications, and the B-FIT Framework for Digital Transformation — Arvin Shadravan, Hamid R. Parsaei, et al. · (2025) | TGRS Research Map | TGRS