Category: Cost-Effective Enterprise AI

40-article series on cost-effective AI implementation in enterprise

Cost-Effective AI: Build vs Buy vs Hybrid — Strategic Decision Framework for AI Capabilities

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Applied Research
Applied Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18626731  70stabilfr·wuedophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources19%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI38%○≥80% have a Digital Object Identifier
[b]CrossRef25%○≥80% indexed in CrossRef
[i]Indexed69%○≥80% have metadata indexed
[l]Academic31%○≥80% from journals/conferences/preprints
[f]Free Access75%○≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]4,295✓Minimum 1,000 words of article body. Current: 4,295
[u]Original [REQ]99%✓≥85% unique sentences (no padding or repeated blocks) and no leaked drafting notes. Current: 99% unique
[e]Evidence [REQ]35✓Cites at least 1 external source(s): links, DOIs or a reference list. Current: 35
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18626731
[o]ORCID✓✓Author ORCID verified for academic identity
[p]Peer Reviewed—○Peer reviewed by an assigned reviewer
[h]Freshness13%○≥60% of references from 2025–2026. Current: 13%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams6✓Mermaid architecture/flow diagrams. Current: 6
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (4/4 × 30%) + Optional (2/7 × 10%)

The build-versus-buy decision for AI capabilities requires strategic sophistication beyond traditional IT procurement—a portfolio approach combining internal development, commercial solutions, and hybrid configurations.

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Applied Research by Oleh Ivchenko DOI: 10.5281/zenodo.18626731 70stabilfr·wuedophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources19%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI38%○≥80% have a Digital Object Identifier
[b]CrossRef25%○≥80% indexed in CrossRef
[i]Indexed69%○≥80% have metadata indexed
[l]Academic31%○≥80% from journals/conferences/preprints
[f]Free Access75%○≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]4,295✓Minimum 1,000 words of article body. Current: 4,295
[u]Original [REQ]99%✓≥85% unique sentences (no padding or repeated blocks) and no leaked drafting notes. Current: 99% unique
[e]Evidence [REQ]35✓Cites at least 1 external source(s): links, DOIs or a reference list. Current: 35
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18626731
[o]ORCID✓✓Author ORCID verified for academic identity
[p]Peer Reviewed—○Peer reviewed by an assigned reviewer
[h]Freshness13%○≥60% of references from 2025–2026. Current: 13%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams6✓Mermaid architecture/flow diagrams. Current: 6
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (62 × 60%) + Required (4/4 × 30%) + Optional (2/7 × 10%)
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