On Multitasking and Job Design in Relational Contracts

Akifumi Ishihara

Journal of Industrial Economics, 2020, vol. 68, issue 4, 693-736

Abstract: We investigate job design problems in relational contracting environments with multitasking and an aggregated and distorted performance measurement. Compared to assigning all the tasks to a single agent, assigning the tasks to multiple agents mitigates misallocation of effort among the tasks but tightens the self‐enforcing constraint. Consequently, task separation is optimal if and only if the discount factor is high. Some tasks may not be assigned to the agents at all under the optimal job design. When the principal provides explicit incentives as well, it may be the case that task bundling is suboptimal for any discount factor.

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1111/joie.12241

Related works:
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:bla:jindec:v:68:y:2020:i:4:p:693-736

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0022-1821

Access Statistics for this article

Journal of Industrial Economics is currently edited by Pierre Regibeau, Yeon-Koo Che, Kenneth Corts, Thomas Hubbard, Patrick Legros and Frank Verboven

More articles in Journal of Industrial Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().