{
  "annotation_id": "589b0f8b-593d-4126-8510-5b1b40cc7311",
  "date_created": "2026-03-02T18:01:00.810000Z",
  "date_modified": "2026-03-02T18:01:00.810000Z",
  "file_hash": "25b4f4e156cc8f8e88629a949c5e8c753f4411a6e2d8a47443e6703ead8fc1d4",
  "private": false,
  "record": {
    "abstract": "We present a model for the diffusion of management fads and other\ntechnologies which lack clear objective evidence about their merits. The\nchoices made by non-Bayesian adopters reflect both their own evaluations and\nthe social influence of their peers. We show, both analytically and\ncomputationally, that the dynamics lead to outcomes that appear to be\ndeterministic in spite of being governed by a stochastic process. In other\nwords, when the objective evidence about a technology is weak, the evolution of\nthis process quickly settles down to a fraction of adopters that is not\npredetermined. When the objective evidence is strong, the proportion of\nadopters is determined by the quality of the evidence and the adopters\u0027\ncompetence.",
    "arxiv_id": "physics/0509217",
    "authors": [
      "Jonathan Bendor",
      "Bernardo A. Huberman",
      "Fang Wu"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.stat-mech"
    ],
    "title": "Management Fads, Pedagogies and Soft Technologies",
    "url": "https://arxiv.org/abs/physics/0509217"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "16ba9d5e-4285-4ef6-ba24-d07dcd9d6283",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}