Where Theory Meets Reality
Real companies. Named academic frameworks. Specific numbers. Each article shows what the framework predicted, what actually happened, and what you can use Monday morning.
How Spotify Scaled Engineering Across 4 Countries — Through Dowling’s IHRM Lens
When a Stockholm startup opens an engineering hub in New York, the question is not whether Swedish management culture will survive the Atlantic crossing. The question is whether anyone planned for what happens when it doesn’t.
Deel vs Remote vs Oyster: Evaluated Through an Academic Control-Flexibility-Cost Framework
Most EOR comparisons are feature checklists dressed up as analysis. This one applies academic models built for evaluating multinational control structures to the decision you’re actually facing.
GitLab’s Radical Transparency Meets High-Context Cultures: A Culture Map Case Study
When a company built on Dutch-style directness scales to 2,000 employees across 65 countries, the friction is not a bug. It is a cultural physics problem — and Erin Meyer gave us the equations to predict it.
When a 200-Person Company Built Its First International HR Function: Storey’s SHRM in Practice
How Zapier went from a three-person People team managing US contractors to a global HR operation spanning 40+ countries — and what three academic frameworks reveal about the predictable phases every mid-market company hits along the way.
Contractor Misclassification in the Netherlands: What Filsinger’s Framework Predicted
A delivery company in Amsterdam classified 4,000 couriers as independent contractors. The Dutch tax authority disagreed. The back-tax assessment alone ran to tens of millions of euros.
Why Your Global HRIS Implementation Failed: Bassett-Jones’s Systems Thinking Predicted It
A Series C SaaS company spent $1.2 million and 18 months bolting together five HR systems across five countries. Eighteen months later, three of five offices were running on workarounds.
Google Built the World’s Most Data-Driven HR Function. Here’s What Bock’s Model Looks Like at 50 Employees.
Google’s People Operations team had 400+ analysts and built the most sophisticated HR analytics function in history. A 200-person B2B SaaS company used four of Bock’s principles with zero data scientists — and the results were more useful than they had any right to be.
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