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We explore how computational ontologies can be impactful vis-a-vis thedeveloping discipline of "data science." We posit an approach whereinmanagement theories are represented as formal axioms, and then applied to drawinferences about data that reside in corporate databases. That is, managementtheories would be implemented as rules within a data analytics engine. Wedemonstrate a case study development of such an ontology by formallyrepresenting an accounting theory in First-Order Logic. Though quitepreliminary, the idea that an information technology, namely ontologies, canpotentially actualize the academic cliche, "From Theory to Practice," and beapplicable to the burgeoning domain of data analytics is novel and exciting.

Data Analytics using Ontologies of Management Theories: Towards Implementing 'From Theory to Practice'