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Challenges and Limitations of Pandemic Information Systems: A Literature Review

Damij, Nadja, Levnajic, Zoran, Modic, Dolores and Suklan, Jana (2023) Challenges and Limitations of Pandemic Information Systems: A Literature Review. IEEE Transactions on Engineering Management. ISSN 0018-9391

Item Type: Article

Abstract

In this article, we investigate the role of information systems (IS) during the COVID-19 pandemic. By focusing on the limitations, challenges, and failures that IS faced as a consequence of swift and sometimes unsupported actions by organizations and governments, the aim of our study is to learn from these practices. IS and information technologies (IT), in general, played a pivotal role in mitigating the effects and consequences of the pandemic. Yet, rapid changes in their implementation amid crisis frequently led to unexpected or unwanted consequences. These triggered a deluge of heated debates in scientific literature. Combining cooccurrence analysis with narrative synthesis, we examine the recent research findings on IS/IT pandemic solutions. We identify a range of problems that can be traced to hasty introduction of new solutions. They often bring into question the actual benefits of introducing them and sometimes even raise serious questions about data safety and privacy. We show that common keywords and themes from this literature can be classified into five clusters and two groups. This classification reveals the effects of the pandemic on health, business, education, science, and technology, some of which are surprising.

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Additional Information: © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Uncontrolled Keywords: COVID-19;Pandemics;Technological innovation;Leadership;Biological system modeling;Bibliometrics;Visualization;Content analysis;cooccurrence review;COVID-19 pandemic;information systems (IS);limitations;narrative review;systematic review
Depositing User: Nadja Damij

Identifiers

Item ID: 17856
Identification Number: https://doi.org/10.1109/TEM.2023.3328894
ISSN: 0018-9391
URI: http://sure.sunderland.ac.uk/id/eprint/17856
Official URL: https://ieeexplore.ieee.org/abstract/document/1032...

Users with ORCIDS

ORCID for Nadja Damij: ORCID iD orcid.org/0000-0002-8428-3049
ORCID for Dolores Modic: ORCID iD orcid.org/0000-0001-8531-9181
ORCID for Jana Suklan: ORCID iD orcid.org/0000-0001-8665-6593

Catalogue record

Date Deposited: 20 Sep 2024 11:57
Last Modified: 20 Sep 2024 11:57

Contributors

Author: Nadja Damij ORCID iD
Author: Dolores Modic ORCID iD
Author: Jana Suklan ORCID iD
Author: Zoran Levnajic

University Divisions

Faculty of Business, Law and Tourism > Sunderland Business School

Subjects

Business and Management > Business and Management
Business and Management

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