# Digital Transformation in Industry

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/digital-transformation-in-industry/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the digital transformation of manufacturing systems, with an emphasis on Industry 4.0 technologies such as Digital Twin, Smart Manufacturing, Cyber-Physical Systems, Big Data, and Internet of Things. It explores the integration of these technologies to improve sustainability, lean production, supply chain management, and the development of maturity models for assessing readiness and maturity in manufacturing enterprises. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t10763 |
| Works | 262 |

## Topic papers all

Showing 15 of 262.

- [A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems](https://scholariq.org/papers/a-cyber-physical-systems-architecture-for-industry-4-0-based-manufacturing/)
- [Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy](https://scholariq.org/papers/artificial-intelligence-ai-multidisciplinary-perspectives-on-emerging-challenges/)
- [Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda](https://scholariq.org/papers/artificial-intelligence-for-decision-making-in-the-era-of-big-data-evolution/)
- [Industry 4.0 and Industry 5.0—Inception, conception and perception](https://scholariq.org/papers/industry-4-0-and-industry-5-0-inception-conception-and-perception/)
- [Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment](https://scholariq.org/papers/service-innovation-and-smart-analytics-for-industry-4-0-and-big-data-environment/)
- [Industry 5.0: A survey on enabling technologies and potential applications](https://scholariq.org/papers/industry-5-0-a-survey-on-enabling-technologies-and-potential-applications/)
- [Deep learning for smart manufacturing: Methods and applications](https://scholariq.org/papers/deep-learning-for-smart-manufacturing-methods-and-applications/)
- [Cyber-physical systems in manufacturing](https://scholariq.org/papers/cyber-physical-systems-in-manufacturing/)
- [Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues](https://scholariq.org/papers/digital-twin-driven-smart-manufacturing-connotation-reference-model-applications/)
- [“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples](https://scholariq.org/papers/industrie-4-0-and-smart-manufacturing-a-review-of-research-issues-and/)
- [Recent advances and trends in predictive manufacturing systems in big data environment](https://scholariq.org/papers/recent-advances-and-trends-in-predictive-manufacturing-systems-in-big-data/)
- [Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives](https://scholariq.org/papers/smart-manufacturing-systems-for-industry-4-0-conceptual-framework-scenarios-and/)
- [Artificial intelligence and innovation management: A review, framework, and research agenda✰](https://scholariq.org/papers/artificial-intelligence-and-innovation-management-a-review-framework-and/)
- [Industrial Artificial Intelligence for industry 4.0-based manufacturing systems](https://scholariq.org/papers/industrial-artificial-intelligence-for-industry-4-0-based-manufacturing-systems/)
- [Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations](https://scholariq.org/papers/big-data-analytics-and-artificial-intelligence-pathway-to-operational/)

## Topic primary papers

Showing 15 of 143.

- [A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems](https://scholariq.org/papers/a-cyber-physical-systems-architecture-for-industry-4-0-based-manufacturing/)
- [Industry 4.0 and Industry 5.0—Inception, conception and perception](https://scholariq.org/papers/industry-4-0-and-industry-5-0-inception-conception-and-perception/)
- [Industry 5.0: A survey on enabling technologies and potential applications](https://scholariq.org/papers/industry-5-0-a-survey-on-enabling-technologies-and-potential-applications/)
- [Cyber-physical systems in manufacturing](https://scholariq.org/papers/cyber-physical-systems-in-manufacturing/)
- [Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues](https://scholariq.org/papers/digital-twin-driven-smart-manufacturing-connotation-reference-model-applications/)
- [“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples](https://scholariq.org/papers/industrie-4-0-and-smart-manufacturing-a-review-of-research-issues-and/)
- [Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives](https://scholariq.org/papers/smart-manufacturing-systems-for-industry-4-0-conceptual-framework-scenarios-and/)
- [Industrial Artificial Intelligence for industry 4.0-based manufacturing systems](https://scholariq.org/papers/industrial-artificial-intelligence-for-industry-4-0-based-manufacturing-systems/)
- [Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model](https://scholariq.org/papers/understanding-ai-adoption-in-manufacturing-and-production-firms-using-an/)
- [Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook](https://scholariq.org/papers/industrial-artificial-intelligence-in-industry-4-0-systematic-review-challenges/)
- [Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future](https://scholariq.org/papers/value-oriented-and-ethical-technology-engineering-in-industry-5-0-a-human/)
- [Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model](https://scholariq.org/papers/digital-twin-as-a-service-dtaas-in-industry-4-0-an-architecture-reference-model/)
- [The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities](https://scholariq.org/papers/the-role-of-ai-machine-learning-and-big-data-in-digital-twinning-a-systematic/)
- [Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context](https://scholariq.org/papers/smart-operators-in-industry-4-0-a-human-centered-approach-to-enhance-operators/)
- [Digital Twin for rotating machinery fault diagnosis in smart manufacturing](https://scholariq.org/papers/digital-twin-for-rotating-machinery-fault-diagnosis-in-smart-manufacturing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.