Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases

Item Type Conference or Workshop Item (Paper)
Abstract Facilitated by Artificial Intelligence technology, cognitive automation means to front and back offices what the pervasive automation through physical machinery and robots meant to production plants. Thus, we can automate tasks and processes that were unimaginable to be automated one decade ago. However, organizational adoption of cognitive automation is way below its possibilities, as this novel class of automation technology is perceived to be risky by organizations. This demands structured approaches for assessing the suitability of use cases for cognitive automation. Following the Design Science Research paradigm, we develop a method for assessing cognitive automation use cases. This enables practitioners to make more informed decisions on selecting, specifying, and embedding cognitive automation use cases in their organizations. For researchers, the method serves as a conceptual frame, which they can adapt to guide their empirical research or to use it for developing future decision support to shape the future of work.
Authors Engel, Christian; Elshan, Edona & Ebel, Philipp
Language English
Keywords Cognitive automation, use case, assessment, method, future of work
Subjects business studies
information management
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Date December 2021
Place of Publication Austin, USA
Event Title Forty-Second International Conference on Information Systems
Event Location Austin, TX, USA
Event Dates 12/2021
Contact Email Address christian.engel@unisg.ch
Depositing User Christian Engel
Date Deposited 30 Nov 2021 14:40
Last Modified 20 Jul 2022 17:47
URI: https://www.alexandria.unisg.ch/publications/265011

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Engel, Christian; Elshan, Edona & Ebel, Philipp: Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases. 2021. - Forty-Second International Conference on Information Systems. - Austin, TX, USA.

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https://www.alexandria.unisg.ch/id/eprint/265011
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