maturity model

I4S 1/2023: Digital Transformation (Special Issue)

I4S 1/2023: Digital Transformation (Special Issue)

Paving the way to the 4th Industrial Revolution
Industry 4.0 and Smart Factory have become a real source of hope and are the technological answer to some of the biggest challenges of our time: sustainable production, global interconnections, intelligent exchange of knowledge. This special issue discusses research questions relating to process improvement, artificial intelligence and factory software.
Artificial Intelligence in ERP Systems

Artificial Intelligence in ERP Systems

Development potential and benchmarking
Marcus Grum ORCID Icon, Nicolas Korjahn
The use of artificial intelligence (AI) is becoming more important for a variety of industries, which is why enterprise resource planning (ERP) systems also offer many possible uses of AI. Due to their newly acquired, AI-based adaptability and learning abilities, modern AI-integrated ERP systems are able to develop competencies, plan processes, make forecasts and interact intelligently with humans. It is not uncommon for such systems to initiate major structural changes for companies and to open up new markets and design areas [1]. In order to measure the progress of an ERP system in terms of AI, the Center for Enterprise Research (CER) has developed an AI maturity model. Building on this model, a tool for evaluating AI integration in an ERP system should be able to showcase potential for development and enable market comparison.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 100-105 | DOI 10.30844/I4SE.23.1.100