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| Titre : | Learning to hire? : Hiring as a dynamic experiential process in an online market for contract labor |
| Auteurs : | Ming D. Leung |
| Type de document : | document électronique |
| Editeur : | Californie [Etats-Unis] : IRLE, 2016 |
| Format : | 47 p. |
| Langues: | Anglais |
| Catégories : |
Thésaurus CEREQ RECRUTEMENT ; MARCHE DU TRAVAIL ; EMPLOYABILITE ; CRITERE D'EMBAUCHE ; INTERNET ; TRAVAIL INDEPENDANT ; EVALUATION ; COMPARAISON INTERNATIONALE ; ANALYSE DES DONNEES |
| Résumé : | Can employers learn to hire? This article conceptualizes hiring as a dynamic experiential learning process. Instead of examining hiring as a point in time decision, I investigate whether and how employers’ past hiring experiences affect their future decisions. Drawing on evidence from a global online market for contract labor, I argue that employers revise their beliefs regarding job applicants from a particular social category following a negative hiring experience from that social category . I analyze over 16 Million applications from freelancers worldwide for over 2.2 Million jobs from 557,416 employers . I find that employers who have a negative hiring experience with a freelancer from a particular country are subsequently less likely to hire other freelancers from that country. T his effect is stronger on hiring for identical subsequent job s and weaker for other jobs . Most strikingly , evidence from the actual hiring switches following a negative experience and a simulation using data from the observed distribution of freelancers on the platform demonstrate that employers unnecessarily oversteer away from countries given t he narrow distribution of observable ability among freelancers . S witches do not result in hiring from a “better †country. (source: report) |
| Document Céreq : | Non |
| En ligne : | http://www.irle.berkeley.edu/workingpapers/113-16.pdf |
Documents numériques (1)
 113-16.pdf Adobe Acrobat PDF |
