Hafner, M., Mira da Silva, M., & Proper, H. A. (2024). Towards a reference ontology for a data valuation business capability. Enterprise Information Systems, 18(7), 1–24. https://doi.org/10.1080/17517575.2024.2358920
business capability; conceptual model; data valuation; Data value; reference ontology
en
Abstract:
Despite its recognition as primary asset, enterprises struggle to determine data value due to fragmented and impractical approaches. This paper develops a reference ontology for Data Valuation Business Capabilities (DVBC) leveraging the systematic approach for building ontologies, ArchiMate and integrating scientific insights with ex-ante expert interview validation. Comprising twelve groupings and 66 components, anchored in established ontologies and assessed against (non)-functional requirements, the ontology shapes the fragmented data valuation landscape into a structuring frame for enterprises. While advancing value modelling in information systems research, the ontology faces limitations like detailed process modelling deficiency, ex-post validation potential, and modelling language boundaries.
