Category: Shadow Economy Dynamics

Tax burden, informatization, and shadow economy dynamics in Ukraine. Scenario analysis and game-theoretic approaches.

AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation

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Economic Research
Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.21461071  58stabilfr·wdophcgmx
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The digitization of global trade has intensified the need for automated fraud detection mechanisms within customs environments. While neural network architectures have shown promise for identifying manipulative invoice patterns, systematic benchmarks comparing their performance across distinct fraud typologies are lacking. This article presents a comparative evaluation of four state‑of‑the‑art ...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.21461071 58stabilfr·wdophcgmx
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Gig Economy Tax Gaps: AI-Assisted Matching of Platform Income to Tax Declarations

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.21389918  64stabilfr·wdophcgmx
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Score = Ref Trust (72 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The rapid expansion of digital platforms has transformed labor markets, but tax compliance remains uneven due to fragmented reporting of gig worker income. This article quantifies the tax gap created by under-reporting of platform-generated [REDACTED]gs in the European Union and the United States, and evaluates emerging artificial intelligence–driven data‑matching techniques that reconcile plat...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.21389918 64stabilfr·wdophcgmx
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Cryptocurrency-Enabled Shadow Economies: On-Chain Analytics for Illicit Flow Detection

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.21299476  59stabilfr·wdophcgmx
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The increasing adoption of cryptocurrency has facilitated the emergence of shadow economies that operate beyond traditional regulatory frameworks. Detecting illicit flow patterns within blockchain transactions is critical for financial compliance and risk assessment. This article addresses the following research questions: (RQ1) How can on-chain analytics be leveraged to identify shadow economy...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.21299476 59stabilfr·wdophcgmx
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Score = Ref Trust (74 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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EU AI Act Compliance for Ukrainian Tech: How Explanation Requirements Affect AI Exports

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20372892  39stabilfr·wdophcgmx
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20372892 39stabilfr·wdophcgmx
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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The Transformation of Shadow Labor Markets: How AI Platforms Reshape Informal Work

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20358396  42stabilfr·wdophcgmx
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The rise of AI-driven gig platforms has dramatically altered informal labor ecosystems, creating new shadow market dynamics that traditional economic models fail to capture. This article investigates how platform design choices directly reshape worker vulnerability, income stability, and social protection gaps in emerging economies. We demonstrate that platform-mediated work arrangements are no...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20358396 42stabilfr·wdophcgmx
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Score = Ref Trust (46 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Public Procurement AI: Detecting Corruption Patterns with Explainable Machine Learning

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20351356  64stabilfr·wdophcgmx
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Score = Ref Trust (73 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Government procurement processes are vulnerable to corruption, inefficiency, and opaque decision‑making. This article presents an explainable artificial intelligence (XAI) framework for detecting corruption patterns in public procurement datasets, focusing on invoice analysis and contract anomaly detection. Using a combination of statistical feature extraction, graph‑based anomaly scoring, and ...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20351356 64stabilfr·wdophcgmx
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Score = Ref Trust (73 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Digital Transformation Economics: When AI Adoption Reduces Informality

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20312094  39stabilfr·wdophcgmx
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[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
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Score = Ref Trust (40 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20312094 39stabilfr·wdophcgmx
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[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI33%○≥80% have a Digital Object Identifier
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[w]Words [REQ]310✗Minimum 2,000 words for a full research article. Current: 310
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20312094
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
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[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (40 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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Post-War Tax Reform Blueprint — Designing Ukraine’s Next-Generation Fiscal System

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20262607  75stabilfr·wdophcgmx
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[s]Reviewed Sources69%○≥80% from editorially reviewed sources
[t]Trusted92%✓≥80% from verified, high-quality sources
[a]DOI85%✓≥80% have a Digital Object Identifier
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[l]Academic92%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
[w]Words [REQ]1,419✗Minimum 2,000 words for a full research article. Current: 1,419
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20262607
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]85%✓≥60% of references from 2025–2026. Current: 85%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
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[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (90 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The ongoing reconstruction of Ukraine’s fiscal architecture presents a unique opportunity to reengineer the nation’s tax system for the post-war era. This article investigates how integrating empirical insights from shadow economy research can shape tax reforms that simultaneously expand the formal tax base and mitigate evasion behaviors. Drawing on a curated set of ten peer‑reviewed sources pu...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20262607 75stabilfr·wdophcgmx
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[t]Trusted92%✓≥80% from verified, high-quality sources
[a]DOI85%✓≥80% have a Digital Object Identifier
[b]CrossRef77%○≥80% indexed in CrossRef
[i]Indexed77%○≥80% have metadata indexed
[l]Academic92%✓≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
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[w]Words [REQ]1,419✗Minimum 2,000 words for a full research article. Current: 1,419
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20262607
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
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[x]Cited by0○Referenced by 0 other hub article(s)
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Defense Procurement Transparency — Audit Frameworks for Wartime Spending

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20181665  13stabilfr·wdophcgmx
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20181665
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (1 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20181665 13stabilfr·wdophcgmx
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[i]Indexed0%○≥80% have metadata indexed
[l]Academic0%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References2 refs○Minimum 10 references required
[w]Words [REQ]0✗Minimum 2,000 words for a full research article. Current: 0
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]0%✗≥60% of references from 2025–2026. Current: 0%
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[g]Code—○Source code available on GitHub
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Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk  ·  DOI: 10.5281/zenodo.20113107  45stabilfr·wdophcgmx
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[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20113107
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
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1 Ivchenko, Oleh, Ivchenko, Iryna 3 Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds. Research article: Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds. Odessa National Polytechnic University, Department of Economic Cybernetics. DOI: 10.5281/zenodo.20113107  ·  View on Zenodo (CERN) 1 Ivchenko, O. & Ivchenko, I. 3 R...

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Economic Research by Oleh Ivchenko, Iryna Ivchenko & Dmytro Grybeniuk DOI: 10.5281/zenodo.20113107 45stabilfr·wdophcgmx
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted80%✓≥80% from verified, high-quality sources
[a]DOI60%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
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[l]Academic70%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References10 refs✓Minimum 10 references required
[w]Words [REQ]1,584✗Minimum 2,000 words for a full research article. Current: 1,584
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20113107
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
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