<div class="csl-bib-body">
<div class="csl-entry">Hafner, M., Mira da Silva, M., & Proper, H. A. (2024). Towards a reference ontology for a data valuation business capability. <i>Enterprise Information Systems</i>, <i>18</i>(7), 1–24. https://doi.org/10.1080/17517575.2024.2358920</div>
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dc.identifier.issn
1751-7575
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208545
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dc.description.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.
en
dc.language.iso
en
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dc.publisher
TAYLOR & FRANCIS LTD
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dc.relation.ispartof
Enterprise Information Systems
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dc.subject
business capability
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dc.subject
conceptual model
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dc.subject
data valuation
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dc.subject
Data value
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dc.subject
reference ontology
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dc.title
Towards a reference ontology for a data valuation business capability
