• Media type: E-Book
  • Title: Automation, Job Design, and Productivity : Field Evidence
  • Contributor: Png, Ivan P. L. [Author]
  • imprint: [S.l.]: SSRN, [2020]
  • Extent: 1 Online-Ressource (43 p)
  • Language: English
  • DOI: 10.2139/ssrn.3597725
  • Identifier:
  • Keywords: Automation ; Job design ; Task specialization ; Productivity
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 5, 2020 erstellt
  • Description: In jobs where the cost of effort exhibits increasing differences in separate tasks, automation increases productivity by directly eliminating the automated tasks and indirectly by reducing the marginal cost of non-automated tasks. Here, I report a field experiment rotating supermarket cashiers between conventional (where they scanned and collected payment) and scan-only checkouts. Consistent with increasing differences in separate tasks, at conventional checkouts, cashiers who scanned faster collected payments more slowly. At scan-only checkouts, cashiers scanned 10 percent faster, consistent with lower marginal cost of effort in the non-automated task. The faster scanning was not due to learning, less task-switching, or differential shirking
  • Access State: Open Access