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dc.contributor.author
Parker, Sharon K.
dc.contributor.author
Grote, Gudela
dc.date.accessioned
2022-10-20T10:49:23Z
dc.date.available
2020-02-27T05:45:51Z
dc.date.available
2020-02-27T08:58:54Z
dc.date.available
2022-09-19T06:15:44Z
dc.date.available
2022-10-20T10:49:23Z
dc.date.issued
2022-10
dc.identifier.other
10.1111/apps.12241
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/401868
dc.identifier.doi
10.3929/ethz-b-000401868
dc.description.abstract
We propose a central role for work design in understanding the effects of digital technologies. We give examples of how new technologies can—depending on various factors—positively and negatively affect job resources (autonomy/control, skill use, job feedback, relational aspects) and job demands (e.g., performance monitoring), with consequences for employee well-being, safety, and performance. We identify four intervention strategies. First, work design choices need to be proactively considered during technology implementation, consistent with the sociotechnical systems principle of joint optimization. Second, human-centred design principles should be explicitly considered in the design and procurement of new technologies. Third, organizationally oriented intervention strategies need to be supported by macro-level policies. Fourth, there is a need to go beyond a focus on upskilling employees to help them adapt to technology change, to also focus on training employees, as well as other stakeholders, in work design and related topics. Finally, we identify directions for moving the field forward, including new research questions (e.g., job autonomy in the context of machine learning; understanding designers’ work design mindsets; investigating how job crafting applies to technology); a reorientation of methods (e.g., interdisciplinary, intervention studies); and steps for achieving practical impact.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Wiley
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2019-12-30
ethz.journal.title
Applied Psychology
ethz.journal.volume
71
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
1171
en_US
ethz.pages.end
1204
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03356 - Grote, Gudela / Grote, Gudela
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03356 - Grote, Gudela / Grote, Gudela
ethz.date.deposited
2020-02-27T05:46:00Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-09-19T06:15:52Z
ethz.rosetta.lastUpdated
2022-09-19T06:15:52Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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