ESG Strategy and Business Intelligence Semantic Network

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Author(s): Lamprini Seremeti (Agricultural University of Athens, Greece), Lazaros Anastasiadis (University of Peloponnese, Greece)and Marcos Komodromos (University of Nicosia, Cyprus)
Copyright: 2026
Pages: 12
Source title: Data-Driven ESG Strategy Implementation Through Business Intelligence
Source Author(s)/Editor(s): Markos Komodromos (University of Nicosia, Cyprus), Lambrini Seremeti (Agricultural University of Athens, Greece), Lazaros Anastasiadis (University of Crete, Greece), Panagiotis Liargovas (University of Peloponnese, Greece)and Sofia Anastasiadou (Univerity of Western Macedonia, Greece)
DOI: 10.4018/979-8-3373-5142-1.ch002

Keywords: Business & Management / Business Intelligence / Business Science Reference / Sustainable Business Practices

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Abstract

Businesses generate vast amounts of implicit and explicit data every second, yet effectively harnessing its full power remains challenging. Transforming generated data to beneficial knowledge is nearly impossible without a shared conceptualization of key variables, from the statistical aggregation of the relevant measures to the strategies of bringing benefits to society. That is, it is practically impossible for stakeholders to reliably extract actionable insights unless they can rely on mutually agreed semantic structures, commonly referred to as ontologies. This chapter introduces two such ontologies, the Environmental Social Governance Ontology (ESGO) and the Business Intelligence Ontology (BIO) because together they span the two opposite poles, theoretical and practical, that dominate contemporary business decision making.

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