Peer learning in teams and work performance: Evidence from a randomized field experiment
Kenju Kamei and
John Ashworth
Journal of Economic Behavior & Organization, 2023, vol. 207, issue C, 413-432
Abstract:
A novel field experiment shows that learning activities in pairs with a greater spread in abilities lead to better individual work performance, relative to those in pairs with similar abilities. The positive effect of the former is not limited to their performance in peer learning material, but it also spills over to their performance in other areas. The underlying improvement comes from the increased performance of those whose achievements were weak prior to peer learning. This implies that exogenously determining learning partners with different abilities helps improve productivity through knowledge sharing and potential peer effects.
Keywords: Peer effects; Dilemma; Knowledge sharing; Field experiment; Teamwork (search for similar items in EconPapers)
JEL-codes: C93 I23 J24 M53 M54 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016726812300015X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Peer Learning in Teams and Work Performance: Evidence from a Randomized Field Experiment (2022) ![Downloads](/downloads_econpapers.gif)
Working Paper: Peer Learning in Teams and Work Performance: Evidence from a Randomized Field Experiment (2021) ![Downloads](/downloads_econpapers.gif)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:207:y:2023:i:c:p:413-432
DOI: 10.1016/j.jebo.2023.01.015
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).