Understanding factors affecting the managers' perception of AI applications in information processing
AffiliationUniversity of Bedfordshire
Regents University London
University of Leipzig
MetadataShow full item record
Other TitlesProceedings of the 3rd European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR)
AbstractArtificial Intelligence (AI) bears great potential in supporting and/or replacing managers' information processing activities, but the benefits of AI can only be realized if the organisational managers are willing to use AI for information processing. The academic literature contains very limited theoretical and empirical research focusing on understanding the acceptance and applications of AI in manager's personal information processing. To address this knowledge gap, this workin- progress paper aims to develop a conceptual framework on factors affecting the managers' perceived roles of AI in their information processing and their intention to use AI. Underpinned by the relevant theories of information processing, the research framework can be used to examine if and to what extent the situational, personal, and performative factors of information systems (IS) influence the managers' perception of AI-based applications in terms of preferred human-AI collaboration modes and levels of AI input in information processing activities. The proposed framework offers a theoretical understanding and development of AI-based applications in the context of information processing from an end user's perspective.
CitationDuan Y, Cao G, Xu M, Ong V, Dietzmann C (2021) 'Understanding factors affecting the managers' perception of AI applications in information processing', 3rd European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR) - Lisbon, Acad Conferences Ltd.
PublisherAcad Conferences Ltd
TypeConference papers, meetings and proceedings