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.
|
PDF (Author Accepted Manuscript)
Challenges_and_Limitations_of_Pandemic_Information_Systems_AAM.pdf Download (4MB) | Preview |
More Information
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
Catalogue record
Date Deposited: 20 Sep 2024 11:57 |
Last Modified: 20 Sep 2024 11:57 |
Author: | Nadja Damij |
Author: | Dolores Modic |
Author: | Jana Suklan |
Author: | Zoran Levnajic |
University Divisions
Faculty of Business, Law and Tourism > Sunderland Business SchoolSubjects
Business and Management > Business and ManagementBusiness and Management
Actions (login required)
View Item (Repository Staff Only) |