Research stories
Themes rather than papers. Each starts from something happening in the world, states the idea that explains it, and shows the evidence behind the claim.
25,249 GitHub repositories, one mark each. These fields are generated, not plotted. Each draws one mark per observation in the study it belongs to and its structure mirrors the finding, but the coordinates are not measured values.
Any venture can say it uses AI. Any founder can post about their struggles. Both claims cost almost nothing to make, so classical signalling theory says they should convey nothing. Audiences act on them anyway.
Read the story →Two entrepreneurs in the same country, sector and regulatory regime. One takes the venture across borders, the other never leaves home. Country-level explanations cannot tell you which is which.
Read the story →Digital entrepreneurship is presented as the great equaliser: a laptop and a connection, and anyone can build an international venture. Participation data say otherwise. Rural, female and minority founders remain systematically under-represented precisely where entry is supposedly cheapest.
Read the story →Entrepreneurial firms are pulling out of foreign markets at a rate not seen in two decades. Almost all of it gets reported as failure.
Read the story →Why themes
A publication list tells you what has been done. It does not tell you why any of it matters, and it asks a reader to reconstruct the argument themselves.
Each story here begins with a problem a practitioner would recognise, states the mechanism that explains it, links the papers that establish it, and closes with what follows for practice and what remains unresolved.