22.516 papers · continuously updated · last export: 4 May 2026livingmeta.ai

Living Meta-Analysis

Emergent Organizational Change

Open Universiteit Nederland

A living meta-analysis platform that continuously monitors, classifies, and analyzes research on emergent organizational change, sensemaking, power dynamics, and organizational development in complex public and professional organizations.

What that means in practice: every new paper in emergent organizational change is classified, cross-validated, and tagged with methodology and evidence type as it enters the corpus. Evidence gaps and research priorities emerge from the literature itself, and update continuously. Researchers can browse papers, discover datasets and instruments others have used, or open a thread in The Lab to work through a question alongside an AI research agent.

22.516
Papers
10.330
Research gaps
3.163
Sources

Priority Research Agenda

AI-identified research priorities ranked by frequency, impact, and feasibility. How does this work?

1

Understanding Organizational Change Recipients' Dynamic Role Construction

Most organizational change research focuses on change agents while neglecting how recipients actively construct and reconstruct multiple roles throughout change processes. This represents a fundamental gap in understanding change dynamics that affects the majority of organizational members during transformation initiatives.

2

Developing Adaptive Leadership Models for Complex Organizations

Traditional leadership theories treat influence as stable traits or behaviors, but complex organizational environments require understanding leadership as emergent, feedback-driven processes. This gap affects how organizations develop leaders and respond to dynamic challenges across all sectors.

3

Integrating Structural and Dynamic Aspects of Organizational Agility

Current organizational agility research focuses primarily on structural components while neglecting dynamic aspects of how agility emerges and evolves. This limits understanding of how organizations can build and maintain agility in rapidly changing environments.

Frequently Asked Questions

Every paper is analyzed from multiple independent perspectives, each with a different cognitive focus. They extract the same structured fields, and a consensus algorithm resolves disagreements field-by-field. Every factual claim must include a verbatim quote from the source — extractions without textual evidence are automatically flagged. Agreement scores are visible on each paper card.
The agenda is built automatically from the evidence in this instance. Research gaps identified across all extracted papers are clustered into themes, scored on frequency, source quality, feasibility, recency, and field-wide coverage. An AI then filters the top-ranked themes against the instance context — only priorities relevant to the broader field survive. The list updates with every new paper added.
Datasets, questionnaires, measurement instruments, tools, and code repositories discovered across the extracted papers. Each is linked back to the paper that uses it, so you can see the evidence base before deciding whether to adopt it. Resources are refreshed continuously as new papers are added.
Yes — The Lab provides AI-coached research guidance through a multi-phase journey, from exploring the literature to writing your manuscript. Select the 'Junior Researcher' role when starting a thread, and the system scaffolds 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.