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

College of Business Administration

University of Portsmouth
University of Bedfordshire
Regent's University London

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

1 Scopus citations

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 Science and Business Media Deutschland GmbH
Pages	611-621
Number of pages	11
ISBN (Print)	9783031332579
DOIs	https://doi.org/10.1007/978-3-031-33258-6_55
State	Published - 2023
Event	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Peru 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	International Conference on Information Technology and Systems, ICITS 2023
Country/Territory	Peru
City	Cusco
Period	24/04/23 → 26/04/23

Keywords

Digital Governance
Human-Computer Interaction
Information Processing
Information Processing Behavior

Access to Document

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

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 (pp. 611-621). (Lecture Notes in Networks and Systems; Vol. 691 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33258-6_55

Xu, Mark ; Duan, Yanqing ; Ong, Vincent et al. / Managerial Information Processing in the Era of Big Data and AI – A Conceptual Framework from an Evolutionary Review. Information Technology and Systems - ICITS 2023. editor / Álvaro Rocha ; Carlos Ferrás ; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. pp. 611-621 (Lecture Notes in Networks and Systems).

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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 = "Digital Governance, Human-Computer Interaction, Information Processing, Information Processing Behavior",

author = "Mark Xu and Yanqing Duan and Vincent Ong and Guangming Cao",

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

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isbn = "9783031332579",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

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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. Lecture Notes in Networks and Systems, vol. 691 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 611-621, International Conference on Information Technology and Systems, ICITS 2023, Cusco, Peru, 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 et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 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

T1 - Managerial Information Processing in the Era of Big Data and AI – A Conceptual Framework from an Evolutionary Review

AU - Xu, Mark

AU - Duan, Yanqing

AU - Ong, Vincent

AU - Cao, Guangming

PY - 2023

Y1 - 2023

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 - Digital Governance

KW - Human-Computer Interaction

KW - Information Processing

KW - Information Processing Behavior

UR - https://www.scopus.com/pages/publications/85168992463

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

M3 - Conference contribution

AN - SCOPUS:85168992463

SN - 9783031332579

T3 - Lecture Notes in Networks and Systems

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BT - Information Technology and Systems - ICITS 2023

A2 - Rocha, Álvaro

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PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Information Technology and Systems, ICITS 2023

Y2 - 24 April 2023 through 26 April 2023

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Xu M, Duan Y, Ong V, Cao G. Managerial Information Processing in the Era of Big Data and AI – A Conceptual Framework from an Evolutionary Review. In Rocha Á, Ferrás C, Ibarra W, editors, Information Technology and Systems - ICITS 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 611-621. (Lecture Notes in Networks and Systems). 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

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Keywords

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