Implementation of automation as distributed cognition in knowledge work organizations: Six recommendations for managers

Aleksandre Asatiani, Esko Penttinen, Tapani Rinta-Kahila, Antti Salovaara

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)
773 Downloads (Pure)


Knowledge work organizations are increasingly leveraging automation to enhance and transform their business processes. Many types of automation tools are being deployed in a large variety of information processing tasks, requiring effective management of human–automation co-operation. Yet, conceptual understanding of human–automation hybrid work remains thin and current literature lacks practical recommendations for managers. To address this gap, we synthesize findings from our three earlier case studies with organizations pursuing a wide array of automation tools and examine them through the lens of distributed cognition. We demonstrate how distributed cognition informs about the organizing for human-automation interaction when deploying automation. Our contribution lies in the presentation of six recommendations on three issues: human–automation task allocation, mitigation of the risk of deskilling, and management of collective knowledge across human and automation.
Original languageEnglish
Title of host publication40th International Conference on Information Systems, ICIS 2019
PublisherAssociation for Information Systems
Number of pages16
ISBN (Electronic)9780996683197
Publication statusPublished - 1 Jan 2020
MoE publication typeA4 Conference publication
EventInternational Conference on Information Systems - Munich, Germany
Duration: 15 Dec 201918 Dec 2019
Conference number: 40

Publication series

NameInternational Conference on Information Systems
ISSN (Electronic)1026-1079


ConferenceInternational Conference on Information Systems
Abbreviated titleICIS
Internet address


  • Automation
  • RPA
  • Distributed Cognition
  • Deskilling
  • Task allocation
  • Knowledge


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