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

Mark Xu; Yanqing Duan; Vincent Koon 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 Koon Ong
, Guangming Cao

Business & Management Research Institute (BMRI)

University of Portsmouth
Regent's University London
Ajman University

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

1 Citation (Scopus)

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 - ICITS 2023
Editors	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Publisher	Springer
Pages	611-621
Number of pages	11
ISBN (Print)	9783031332579
DOIs	https://doi.org/10.1007/978-3-031-33258-6_55
Publication status	Published - 11 Jul 2023
Event	Information Technology and Systems (ICITS 2023) - Cusco Duration: 24 Apr 2023 → 26 Apr 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	691 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Information Technology and Systems (ICITS 2023)
City	Cusco
Period	24/04/23 → 26/04/23
Other	Information Technology and Systems (ICITS 2023) (24/04/2023-26/04/2023, Cusco)

Keywords

Information processing
Digital Governance
human-computer interaction
Information Processing Behavior
Information Processing
Human-Computer Interaction

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

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

https://link.springer.com/chapter/10.1007/978-3-031-33258-6_55

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Cite this

Xu, M., Duan, Y., Ong, V. K., & 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 (pp. 611-621). (Lecture Notes in Networks and Systems; Vol. 691 LNNS). Springer. https://doi.org/10.1007/978-3-031-33258-6_55

@inproceedings{f9a55c2aaa444ce18a7cad240fae75d1,

title = "Managerial information processing in the era of Big Data and AI – a conceptual framework from an evolutionary 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{\textquoteright} information attention towards uncertainties, and increased capabilities and responsibilities in analytics and AI within an effective digital governance framework.",

keywords = "Information processing, Digital Governance, human-computer interaction, Information Processing Behavior, Information Processing, Human-Computer Interaction",

author = "Mark Xu and Yanqing Duan and Ong, \{Vincent Koon\} and Guangming Cao",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Information Technology and Systems (ICITS 2023) ; Conference date: 24-04-2023 Through 26-04-2023",

year = "2023",

month = jul,

day = "11",

doi = "10.1007/978-3-031-33258-6\_55",

language = "English",

isbn = "9783031332579",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "611--621",

editor = "{\'A}lvaro Rocha and Carlos Ferr{\'a}s and Waldo Ibarra",

booktitle = "Information Technology and Systems - ICITS 2023",

address = "Germany",

}

Xu, M, Duan, Y, Ong, VK & 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. Lecture Notes in Networks and Systems, vol. 691 LNNS, Springer, pp. 611-621, Information Technology and Systems (ICITS 2023), Cusco, 24/04/23. 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 Koon et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer, 2023. p. 611-621 (Lecture Notes in Networks and Systems; Vol. 691 LNNS).

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

TY - GEN

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AU - Xu, Mark

AU - Duan, Yanqing

AU - Ong, Vincent Koon

AU - Cao, Guangming

PY - 2023/7/11

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N2 - 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.

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.

KW - Information processing

KW - Digital Governance

KW - human-computer interaction

KW - Information Processing Behavior

KW - Information Processing

KW - Human-Computer Interaction

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PB - Springer

T2 - Information Technology and Systems (ICITS 2023)

Y2 - 24 April 2023 through 26 April 2023

ER -

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

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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