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AI in information processing for decision making - perceptions and use intention of UK managers

  • Yanqing Duan
    ,
  • Guangming Cao
    ,
  • Mark Xu
    ,
  • Vincent Ong
    ,
  • Christian Dietzmann
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

Information processing forms an essential part of any decision making process as it enables decision makers to assess various options, evaluate risks and opportunities to make best choices. In the context of business decision making, information processing also enable managers to make decisions that align with organizational goals and objectives. However, business managers are facing unprecedented challenges in dealing with ever growing abundant data and struggling to make sense of it to make well informed decisions. As Artificial Intelligence (AI) is making profound impact on every aspect of business operations and management, it has the great potential in assisting/replacing business managers’ information processing activities Although the use of AI in decision making in general has attracted significant attention from researchers and practitioners, its specific role and impact on business information processing at the individual manager level have not been well explored and examined theoretically and empirically. To address this knowledge gap, the study reported in this short paper aims to empirically investigate the current challenges faced by business managers and their perception and intention in utilising AI for information processing in their decision making process. Three key research questions covering perceived challenges, AI roles and use intention are raised. A questionnaire survey was conducted in the UK to collect data to understand the managers perceptions and use intention. Preliminary data analysis provides very interesting findings and valuable insights. Important implications for theory development and research directions are highlighted.

Publication Information

Output type

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

Original language

English

Pages from-to (Number of pages)

Pages 423-427 (5 pages)

Publication milestones

  • Published - 31/03/2025

Publication status

Published - 31/03/2025

Publisher

IADIS

Publication series

  • Publication series name: Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025

ISBN (Print)

9789898704658

ISBN (Electronic)

9789898704658

External Publication IDs

  • handle.net: 10547/626825
  • Scopus: 105003207626

Host publication title

Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025

Host publication editors

  • Miguel Baptista Nunes
  • Pedro Isaias
  • Philip Powell
  • Piet Kommers
  • Luis Rodrigues

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