The impact of job automation on shifts in levels of work

Show simple item record

dc.contributor ichelp@gibs.co.za en_ZA
dc.contributor.author Bezuidenhout, Chandon
dc.contributor.author Wocke, Albert
dc.contributor.author Plint, Neville
dc.contributor.author Mthombeni, Morris
dc.date.accessioned 2021-11-11T09:42:53Z
dc.date.available 2021-11-11T09:42:53Z
dc.date.created 2021
dc.date.issued 2021
dc.description.abstract The purpose of this research was to determine the impact of technological change on workforce structures and industries. Previous studies forecasted the impact of automation on jobs and categories of jobs, but did not deal with the structure of organisations, particularly levels of work. This study applied Jaques’ Stratified Systems Theory model of job analysis to identify occupational groups with higher susceptibility to job automation and project changes in workforce structure for various industries. It was found that automation would shift lower-level tasks to higher strata of work and that it was not possible to generalise the impact of automation across industries, as there would be differences in industries and bureaucracies, which are described here. en_ZA
dc.format.extent 16 pages en_ZA
dc.identifier.citation Bezuidenhout, C., Wocke, A., Plint, N., & Mthombeni, M. (2021). The impact of job automation on shifts in levels of work. GIBS en_ZA
dc.identifier.uri http://hdl.handle.net/2263/82654
dc.language.iso en en_ZA
dc.publisher Gordon Institute of Business Science (GIBS) en_ZA
dc.rights © 2020 Gordon Institute of Business Science. All rights reserved. en_ZA
dc.subject Automation en_ZA
dc.subject Stratified Systems Theory en_ZA
dc.subject Jobs en_ZA
dc.subject Workforce en_ZA
dc.title The impact of job automation on shifts in levels of work en_ZA
dc.type Working Paper en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record