---
id: "entity-iavor-bojinov"
type: "entity"
entityType: "person"
canonicalName: "Iavor Bojinov"
aliases: ["Iavor I. Bojinov"]
source_timestamps: ["¶ 2"]
tags: ["researcher", "hbs"]
related: ["concept-span-of-control-vs-accountability", "entity-org-harvard-business-school", "entity-edward-mcfowland-iii"]
sources: ["adoption"]
isSpeakerEntity: true
---
## Segment 9 — adoption

## Article 41 — a041

# Iavor Bojinov

**Profile.** An associate professor at Harvard Business School ([[entity-org-harvard-business-school-d9]]) and co-author of the case study *Pernod Ricard: Uncorking Digital Transformation.* His analytical focus in this source is the incentive architecture of AI deployment.

**Role in this source.** One of two HBS researchers interviewed by [[entity-scott-nover]] for the HBR piece; the primary voice on incentive design and accountability.

**Attributed contributions in this vault:**
- Articulates the [[concept-span-of-control-vs-accountability]] framing (see [[quote-span-of-control-mismatch]]).
- States that AI value is gated by usage ([[claim-value-requires-usage]], [[quote-value-requires-use]]).
- Explains the safe-harbor incentive structure ([[concept-risk-free-adoption]], [[quote-safe-harbor-compliance]]).

**Enrichment context.** His HBS faculty profile is the canonical reference; he elaborates the span-of-control-vs-accountability lens and safe-harbor incentives in both HBS Working Knowledge and the HBS podcast.