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Organizational Interfaces and Autonomous Agents

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BORIS DOI
10.48350/171857
Publisher DOI
10.5465/AMBPP.2022.10961abstract
Description
The history of organizational research is abundant with organizational interfaces: human-to-human, machine-to-machine, and human-to-machine. Existing research on coordination treats humans and machines as distinct. However, in recent years, the emergence of autonomous agents is rendering the distinction between human and machine less salient. As the line between human and machine agency blurs, we propose a framework of agent-to-agent interfaces. The framework involves four general types of agent-to-agent interfaces: standard, adaptive, generative, and autonomous. Each type of interface requires a different perspective for organizational action, and we propose design principles, reference domains, and modes of adaptation for each.
Date of Publication
2022-07-06
Publication Type
Article
Subject(s)
000 Computer science, knowledge & systems
600 Technology > 650 Management & public relations
300 Social sciences, sociology & anthropology > 330 Economics
Language(s)
en
Contributor(s)
Rutschi, Corinna Rahel
Institut für Wirtschaftsinformatik, Information Engineering
Berente, Nicholas
Additional Credits
Institut für Wirtschaftsinformatik, Information Engineering
Series
Academy of Management Proceedings
Publisher
Academy of Management
ISSN
0065-0668
Access(Rights)
metadata.only
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