Cognitive time distortion as a hidden condition of worker productivity
Fabian von Schéele,
Darek M. Haftor and
Natallia Pashkevich
Journal of Business Research, 2019, vol. 101, issue C, 591-596
Abstract:
The present study advances a novel productivity function of knowledge workers. Cognitive science studies provide clear evidence that, for a given event, there is a difference between a worker's cognitive time and physical clock time; this difference gives rise to a cognitive time distortion. The proposed productivity function accounts for workers' dual experiences of time and the kinds of contracts utilized by an economic organization and its customers and workers. This function shows—for the first time and contrary to intuition—that, given certain conditions, workers' cognitive time and the form of contracts utilized are the only conditioners of knowledge worker productivity. The proposed productivity function unearths a hidden economic lever effect whereby a minor degree of time distortion generates a significant level of worker inefficiency. This constitutes a novel contribution to the literature on knowledge worker productivity.
Keywords: Performance management; Productivity measurement; Cognitive time; Physical time; Contract form; Economic lever effect (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014829631830554X
Full text for ScienceDirect subscribers only
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:eee:jbrese:v:101:y:2019:i:c:p:591-596
DOI: 10.1016/j.jbusres.2018.11.002
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().