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Managerial information processing in the era of Big Data and AI – a conceptual framework from an evolutionary review

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

Abstract

Information processing forms an essential part of managerial behavior in the decision-making process. With big data and intelligent technologies available, business environment becomes ever dynamic and challenging, e.g. the impact of the COVID-19 pandemic, the rise of misinformation and disinformation, etc., this paper aims to examine the emerging patterns of managerial information processing from both individual and organizational perspectives. This research identifies three driving forces based on an evolutionary review of studies and theories related to information processing behavior and develops a theoretical framework, which provides valuable implications on managerial information processing and organizational responses and calls for reduction of information needs on routine tasks, a shift of managers’ information attention towards uncertainties, and increased capabilities and responsibilities in analytics and AI within an effective digital governance framework.

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 611-621 (11 pages)

Publication milestones

  • Published - 11/07/2023

Publication status

Published - 11/07/2023

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Networks and Systems
    ISSN (Print): 2367-3370
    ISSN (Electronic): 2367-3389
    Volume: 691 LNNS

ISBN (Print)

9783031332579

External Publication IDs

  • handle.net: 10547/626914
  • Scopus: 85168992463

Host publication title

Information Technology and Systems - ICITS 2023

Host publication editors

  • Álvaro Rocha
  • Carlos Ferrás
  • Waldo Ibarra

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