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Artificial intelligence for managerial information processing and decision-making in the era of information overload

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Open access

Abstract

In the big data era, managers are exposed to an increasing amount of structured and unstructured information that they must process daily to make decisions. In this context, artificial intelligence (AI) functionalities can support managerial information processing (IP), which forms the basis of managers' decision-making. To date, little is known about the themes that managers face when integrating AI into their IP and decision-making. The present paper identifies these through three focus group interviews with managers from the financial industry, validates them through a survey and derives organizational implications. The results imply that organizations should (1) evaluate managerial IP tasks and matching AI systems, (2) (re)define roles for managers and AI systems, and (3) redesign management processes for sustainable human-AI interaction.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 04/01/2022

Publication status

Published - 04/01/2022

Publication series

  • Publication series name: Hawaii International Conference on System Sciences

Publication IDs

  • handle.net: 10547/626795

Host publication title

nan

Access to documents

0578.pdf, opens in new tab
Accepted author manuscript, 544.28 KB

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