Matching Needs and Capabilities for Pandemic Managment

Georg Neubauer; Drazen Ignjatovic; Verena Parzer; Karin Rainer; Viktoria Kundratitz; Melissa Hagendorn; Georg Aumayr; Sabine Kretschy

doi:10.35011/IDIMT-2025

Matching Needs and Capabilities for Pandemic Managment

Georg Neubauer (Author and Speaker)
, Drazen Ignjatovic
, Verena Parzer
, Karin Rainer
, Viktoria Kundratitz
, Melissa Hagendorn
, Georg Aumayr
, Sabine Kretschy

Cooperative Digital Technologies

Österreichische Agentur für Gesundheit und Ernährungssicherheit GmbH (AGES)
Bundesanstalt f. Lebensmitteluntersuchung und -forschung, Wien
Johanniter-Unfall-Hilfe in Österreich

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

Whenever a disaster hits, it is imperative that practitioners and other involved stakeholders have access to the best possible capabilities when mastering the event. This is equally crucial for pandemic management. The systematic three tier approach presented in this paper – taxonomy, expert
knowledge and metrics – enables systematic matching of gaps and potential solutions both on national as well as international level. This methodology offers several advantages, including reproducibility, comparability of solutions, and the potential to close capability gaps. This approach also allows for the expansion of the matching concept based on evolving end-user requirements.
However, continuous involvement of practitioners and stakeholders is necessary to update needs and adapt the description of proposed capabilities. The dynamic nature of pandemics poses scalability challenges due to the limited availability of human resources to update and extend the knowledge base. This highlights the need for automated or semi-automated approaches, such as AI applications,
to maintain a dynamic knowledge base.

Original language	English
Title of host publication	IDIMT-2025
Subtitle of host publication	ICT in Business: AI Everywhere? Glory and Disgrace of AI
Editors	Petr Doucek, Michael Sonntag, Lea Nedomova
Chapter	AI in Crisis Management
Pages	29-36
Number of pages	8
Volume	54
DOIs	https://doi.org/10.35011/IDIMT-2025
Publication status	Published - 3 Sept 2025
Event	IDIMT 2025– Interdisciplinary Information Management Talks - Hradec Králové, Hradec Králové, Czech Republic Duration: 3 Sept 2025 → 5 Sept 2025 https://idimt.org/

Conference

Conference	IDIMT 2025– Interdisciplinary Information Management Talks
Abbreviated title	IDIMT 2025
Country/Territory	Czech Republic
City	Hradec Králové
Period	3/09/25 → 5/09/25
Internet address	https://idimt.org/

Research Field

Sustainable & Resilient Society

Keywords

Pandemic management
Matching
Capability Gaps

Access to Document

10.35011/IDIMT-2025

https://idimt.org/wp-content/uploads/2025/09/IDIMT-2025-proceedings.pdf

Cite this

@inproceedings{b1412812af0940ee84498e6ace4f7590,

title = "Matching Needs and Capabilities for Pandemic Managment",

abstract = "Whenever a disaster hits, it is imperative that practitioners and other involved stakeholders have access to the best possible capabilities when mastering the event. This is equally crucial for pandemic management. The systematic three tier approach presented in this paper {\textendash} taxonomy, expert knowledge and metrics {\textendash} enables systematic matching of gaps and potential solutions both on national as well as international level. This methodology offers several advantages, including reproducibility, comparability of solutions, and the potential to close capability gaps. This approach also allows for the expansion of the matching concept based on evolving end-user requirements. However, continuous involvement of practitioners and stakeholders is necessary to update needs and adapt the description of proposed capabilities. The dynamic nature of pandemics poses scalability challenges due to the limited availability of human resources to update and extend the knowledge base. This highlights the need for automated or semi-automated approaches, such as AI applications, to maintain a dynamic knowledge base.",

keywords = "Pandemic management, Matching, Capability Gaps",

author = "Georg Neubauer and Drazen Ignjatovic and Verena Parzer and Karin Rainer and Viktoria Kundratitz and Melissa Hagendorn and Georg Aumayr and Sabine Kretschy",

year = "2025",

month = sep,

day = "3",

doi = "10.35011/IDIMT-2025",

language = "English",

isbn = "978-3-99151-856-3",

volume = "54",

pages = "29--36",

editor = "Petr Doucek and Michael Sonntag and Lea Nedomova",

booktitle = "IDIMT-2025",

note = "IDIMT 2025{\textendash} Interdisciplinary Information Management Talks, IDIMT 2025 ; Conference date: 03-09-2025 Through 05-09-2025",

url = "https://idimt.org/",

}

Neubauer, G , Ignjatovic, D , Parzer, V, Rainer, K, Kundratitz, V, Hagendorn, M, Aumayr, G & Kretschy, S 2025, Matching Needs and Capabilities for Pandemic Managment. in P Doucek, M Sonntag & L Nedomova (eds), IDIMT-2025: ICT in Business: AI Everywhere? Glory and Disgrace of AI. vol. 54, pp. 29-36, IDIMT 2025– Interdisciplinary Information Management Talks, Hradec Králové, Czech Republic, 3/09/25. https://doi.org/10.35011/IDIMT-2025

Matching Needs and Capabilities for Pandemic Managment. / Neubauer, Georg (Author and Speaker); Ignjatovic, Drazen ; Parzer, Verena et al.
IDIMT-2025: ICT in Business: AI Everywhere? Glory and Disgrace of AI. ed. / Petr Doucek; Michael Sonntag; Lea Nedomova. Vol. 54 2025. p. 29-36.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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AU - Hagendorn, Melissa

AU - Aumayr, Georg

AU - Kretschy, Sabine

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AB - Whenever a disaster hits, it is imperative that practitioners and other involved stakeholders have access to the best possible capabilities when mastering the event. This is equally crucial for pandemic management. The systematic three tier approach presented in this paper – taxonomy, expert knowledge and metrics – enables systematic matching of gaps and potential solutions both on national as well as international level. This methodology offers several advantages, including reproducibility, comparability of solutions, and the potential to close capability gaps. This approach also allows for the expansion of the matching concept based on evolving end-user requirements. However, continuous involvement of practitioners and stakeholders is necessary to update needs and adapt the description of proposed capabilities. The dynamic nature of pandemics poses scalability challenges due to the limited availability of human resources to update and extend the knowledge base. This highlights the need for automated or semi-automated approaches, such as AI applications, to maintain a dynamic knowledge base.

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KW - Matching

KW - Capability Gaps

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BT - IDIMT-2025

T2 - IDIMT 2025– Interdisciplinary Information Management Talks

Y2 - 3 September 2025 through 5 September 2025

ER -

Matching Needs and Capabilities for Pandemic Managment

Abstract

Conference

Research Field

Keywords

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