Literaturnachweis - Detailanzeige
Autor/inn/en | Bryan, Kevin A.; Hoffman, Mitchell; Sariri, Amir |
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Institution | National Bureau of Economic Research |
Titel | Information Frictions and Employee Sorting Between Startups. Gefälligkeitsübersetzung: Informationsfriktionen und Mitarbeitersortierung zwischen Startups. |
Quelle | Cambridge, Mass. (2022), 38 S.
PDF als Volltext |
Reihe | NBER working paper. 30449 |
Sprache | englisch |
Dokumenttyp | online; Monographie |
DOI | 10.3386/w30449 |
Schlagwörter | Wahrnehmung; Leistungsbeurteilung; Unternehmenserfolg; Unternehmensgründung; Arbeitsplatzwahl; Arbeitsuchender; Bewerbungsverhalten; Jobbörse; Wissenschaft; Arbeitspapier; Auswirkung; Informationsangebot; Qualität; Hochschulabsolvent; Arbeitgeber; Experte; USA |
Abstract | "Would workers apply to better firms if they were more informed about firm quality? Collaborating with 26 science-based startups, we create a custom job board and invite business school alumni to apply. The job board randomizes across applicants to show coarse expert ratings of all startups' science and/or business model quality. Making this information visible strongly reallocates applications toward better firms. This reallocation holds even when restricting to high-quality workers. The treatments operate in part by shifting worker beliefs about firms' right-tail outcomes. Despite these benefits, workers make post-treatment bets indicating highly overoptimistic beliefs about startup success, suggesting a problem of broader informational deficits." The study refers to the period 2018-2022. (Author's abstract, IAB-Doku).. |
Erfasst von | Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg |
Update | 2023/1 |