Living review — updated weekly · 52.379 papers classified · last sync: 19 Mar 2026about

Living Innovation Management Research

automatically monitors, classifies, and analyzes every new innovation management and entrepreneurship publication — every week, across all domains from technology diffusion to venture creation.

This instance tracks 52.379 papers across 14 journals (1776-01-01–2041-01-01). A living meta-analysis platform that continuously monitors, classifies, and analyzes research on innovation management, entrepreneurship, technology commercialization, and the diffusion of new high-tech products.

52.379
Papers
15.715
Research gaps
16.135
Journals
Explore PapersThe Lab

How It Works

📡

Monitor

We track 14+ journals and preprint servers continuously via OpenAlex.

🔬

Extract

Six AI personas independently extract methodology, findings, and gaps — then reach consensus.

🧭

Investigate

The Lab coaches you through your research question with AI-backed evidence and structured phases.

Learn more about LivingMeta →

Priority Research Agenda

AI-identified research priorities ranked by frequency, impact, and feasibility.

1

Blockchain Integration in Supply Chain Systems

Despite widespread interest, fundamental questions remain about how blockchain governance models affect operational efficiency and trust in supply chains. The lack of theoretical frameworks integrating network theory with blockchain paradigms limits our understanding of distributed trust mechanisms.

2

Business Model Innovation Implementation and Execution

While business model innovation is recognized as critical for competitive advantage, there is insufficient research on implementation processes and execution mechanisms. The lack of rigorous conceptualization and formal ontologies limits practical application and theoretical development.

3

Human-AI Collaboration in Strategic Decision Making

The integration of AI agents in organizational decision-making processes lacks empirical understanding of human-AI interaction dynamics. Current research fails to address how human and digital intelligence can be effectively integrated in complex strategic decisions.

See full agenda in The Lab →

Frequently Asked Questions

Every paper is independently analyzed by six AI personas, each with a different cognitive focus (methodologist, skeptic, synthesizer, etc.). They extract the same 75 fields, and a consensus algorithm resolves disagreements field-by-field. Every factual claim must include a verbatim quote from the source paper — extractions without textual evidence are automatically flagged. Agreement scores are visible on each paper card.
Yes — The Lab provides AI-coached research guidance through 8 phases, from exploring the literature to writing your manuscript. Select the 'Junior Researcher' role when starting a thread, and the system will scaffold your process with Socratic questions. You can export papers to CSV or BibTeX at any time.
Those tools address individual stages — Elicit does per-paper extraction, Consensus searches abstracts, Cochrane produces static reviews. LivingMeta integrates extraction, gap analysis, coached investigation, and resource discovery into a single continuously updated workflow. The platform is the methodology.
Start a thread in The Lab describing what you found. The instance owner reviews submissions and can trigger corrections or additions. Papers flow through the same classification and extraction pipeline as all other content.

Built on the LivingMeta platform. Read the foundation paper for methodology and architecture details.

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