A Novel Enterprise AI Classification Framework for Business Transformation
The paper that grounds the platform: six AI technology types across six autonomy levels, mapped to enterprise applications.
Read on InformationThe science we build on.
The platform stands on peer-reviewed research. Three papers trace one arc: from the standards and risks that govern any emerging technology, to an integrated model of technology acceptance and capability maturity, to the framework that classifies enterprise AI by type and autonomy level.
The published research.
The integrated model was first validated on blockchain, then tested across technologies and shown to be technology-agnostic. Extending it with AI technology types and autonomy levels produced the framework the platform is built on.
An Integrated Adoption Model to Manage Blockchain-Driven Business Innovation in a Sustainable Way
The theoretical core. An integrated model of technology acceptance and capability maturity, whose conclusion pointed toward this platform.
Read on SustainabilityPerspectives on Risks and Standards that Affect the Requirements Engineering of Blockchain Technology
The foundation: rigorous management of emerging technology depends on structured requirements engineering against clearly defined risks and standards.
Read on CS&IPublished in.
Three peer-reviewed journals over six years. Computer Standards & Interfaces, published by Elsevier, and Information and Sustainability, both published by MDPI.
The research continues.
New papers extend the work across transformation, technology, and design. Applied science, a living programme.