Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review

Mark Xu; Yanqing Duan; Vincent Ong; Guangming Cao

doi:10.1007/978-3-031-33258-6_55

Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review

Mark Xu, Yanqing Duan, Vincent Ong, Guangming Cao

School of Organisations, Systems and People

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

Original language	English
Title of host publication	Information Technology and Systems
Subtitle of host publication	ICITS 2023, Volume 1
Editors	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Publisher	Springer
Pages	611-621
Number of pages	11
Edition	1st
ISBN (Electronic)	9783031332586
ISBN (Print)	9783031332579
DOIs	https://doi.org/10.1007/978-3-031-33258-6_55
Publication status	Published - 11 Jul 2023
Event	6th International Conference on Information Technology & Systems - Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru Duration: 8 Feb 2023 → 10 Feb 2023 Conference number: 6th http://icits.me

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Number	691
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Conference on Information Technology & Systems
Abbreviated title	ICITS'23
Country/Territory	Peru
City	Cusco
Period	8/02/23 → 10/02/23
Internet address	http://icits.me

Keywords

information processing
information processing behavior
human-computer interaction
digital governance

Access to Document

10.1007/978-3-031-33258-6_55

8138ab56_08bd_4ba0_816b_110bae21c4cb
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-33258-6_55.
Accepted author manuscript (Post-print), 175 KB

https://link.springer.com/book/9783031332579

Cite this

Xu, M., Duan, Y., Ong, V., & Cao, G. (2023). Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review. In Á. Rocha, C. Ferrás, & W. Ibarra (Eds.), Information Technology and Systems: ICITS 2023, Volume 1 (1st ed., pp. 611-621). (Lecture Notes in Networks and Systems; No. 691). Springer. https://doi.org/10.1007/978-3-031-33258-6_55

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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{\textquoteright} information attention towards uncertainties, and increased capabilities and responsibilities in analytics and AI within an effective digital governance framework.",

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Xu, M, Duan, Y, Ong, V & Cao, G 2023, Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review. in Á Rocha, C Ferrás & W Ibarra (eds), Information Technology and Systems: ICITS 2023, Volume 1. 1st edn, Lecture Notes in Networks and Systems, no. 691, Springer, pp. 611-621, 6th International Conference on Information Technology & Systems, Cusco, Peru, 8/02/23. https://doi.org/10.1007/978-3-031-33258-6_55

Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review. / Xu, Mark; Duan, Yanqing; Ong, Vincent et al.
Information Technology and Systems: ICITS 2023, Volume 1. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. 1st. ed. Springer, 2023. p. 611-621 (Lecture Notes in Networks and Systems; No. 691).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review

AU - Xu, Mark

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AU - Ong, Vincent

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AB - 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.

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Managerial information processing in the era of big data and AI - a conceptual framework from an evolutionary review

Abstract

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Conference

Keywords

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Cite this