Compounding Public Evidence: Managing a Business's Public Evidence

Compounding Public Evidence is a conceptual framework for analysing and managing the relationship between a business's operational reality and the public evidence available about its significant attributes. The framework introduces the Public Evidence Structure as a management object mapped against a Reference Attribute Inventory and described through Public Evidence Coverage, Evidence Strength, Public Evidence Gaps, Surface Distribution, provenance, and Public Evidence Dynamics. It distinguishes between what exists in a business, what matters to customer choice, and what is actually evidenced in the public information environment. The framework also describes how information generated through past customer experience may persist and participate in subsequent cycles of evaluation and choice. This Method Note defines the conceptual model, its boundaries, its relationship to prior work, and its testable propositions. It does not prescribe proprietary operational procedures and does not claim guaranteed effects on search rankings, AI recommendations, conversion, or revenue. Version 1.0. Developed in the course of building Elutio.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22827884
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Compounding Public Evidence: Managing a Business's Public Evidence

Dmitrii Markov
Zenodo (CERN European Organization for Nuclear Research)
Big Data and Business Intelligence
article

Compounding Public Evidence: Managing a Business's Public Evidence

Dmitrii Markov
article en

Abstract

Compounding Public Evidence is a conceptual framework for analysing and managing the relationship between a business's operational reality and the public evidence available about its significant attributes. The framework introduces the Public Evidence Structure as a management object mapped against a Reference Attribute Inventory and described through Public Evidence Coverage, Evidence Strength, Public Evidence Gaps, Surface Distribution, provenance, and Public Evidence Dynamics. It distinguishes between what exists in a business, what matters to customer choice, and what is actually evidenced in the public information environment. The framework also describes how information generated through past customer experience may persist and participate in subsequent cycles of evaluation and choice. This Method Note defines the conceptual model, its boundaries, its relationship to prior work, and its testable propositions. It does not prescribe proprietary operational procedures and does not claim guaranteed effects on search rankings, AI recommendations, conversion, or revenue. Version 1.0. Developed in the course of building Elutio.

Zenodo (CERN European Organization for Nuclear Research)
El Colegio de México (MX)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Big Data and Business Intelligence
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