Designed entrepreneurial legitimacy: the case of a Swedish crowdfunding platform
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Digital entrepreneurs face the liability of newness, like any other entrepreneur. However, this liability of newness is manifested differently: it is mediated by an artefact, in this case a platform. This paper examines how a digital entrepreneur mediated by a platform can build legitimacy, something hitherto thought to be embedded within a social relationship (that is, one that a digital platform may be unable to have). Based on a qualitative research design, we develop the concept of “designed legitimacy”, and we point to how trust may not be enough to overcome the liability of newness. Rather, legitimacy is needed to attract users and resources, and thus for growth and success. We further highlight the means through which a platform may come to be seen as legitimate, namely by designing with legitimacy in mind: by using symbols in design, asymmetric legitimacy building, and sequential two-stage legitimacy building. We end the paper with propositions for further study and the implications of this research for digital entrepreneurship and platforms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it