Institutional biography and the institutionalization of a new organizational template: Building the global branded hotel chain
Bibliographic record
Abstract
This article expands understanding of how institutional biography informs institutional change by examining Conrad Hilton’s role in building the global branded hotel chain (1946–1969). We show how an individual’s institutional biography can play a pivotal role in their development as an institutional entrepreneur and the institutionalisation of a new organisational template. Biography, informed by the institutions individuals experience in their life trajectories, shapes the process by which an individual becomes an institutional entrepreneur; influencing the institutionalisation of a new template by enabling entrepreneurs to acquire a more central position within their field. Hilton’s self-narrative became closely coupled with the ‘grand narrative’ of post-war U.S. capitalism. The Hilton case illustrates how institutional tensions, embracing national interests, corporate interests, and individual self-interest, can become distilled into the identity, choices, and ambitions – the personal biographical narrative – of individuals who play a formative role in the institutions they build, change, or disrupt.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".