Artificial Intelligence as a Catalyzer for Open Government Data Ecosystems: A Typological Theory Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022421" target="_blank" >RIV/62690094:18450/25:50022421 - isvavai.cz</a>

Result on the web

<a href="https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/8ebfe9f6-65c6-4673-88b2-094bde970bb2/content" target="_blank" >https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/8ebfe9f6-65c6-4673-88b2-094bde970bb2/content</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Artificial Intelligence as a Catalyzer for Open Government Data Ecosystems: A Typological Theory Approach

Original language description

Artificial Intelligence (AI) within digital government has witnessed growing interest as it can improve governance processes and stimulate citizen engagement. Despite the rise of Generative AI, discussions on AI fusion with Open Government Data (OGD) remain limited to specific implementations and scattered across disciplines. Drawing from the synthesis of the literature through a systematic review, this study examines and structures how AI can enrich OGD initiatives. Employing a typological approach, ideal profiles of AI application within the OGD lifecycle are formalized, capturing varied roles across the portal and ecosystems perspectives. The resulting conceptual framework identifies eight ideal types of AI applications for OGD: AI as Portal Curator, Explorer, Linker, and Monitor, and AI as Ecosystem Data Retriever, Connecter, Value Developer and Engager. This theoretical foundation shows the under-investigation of some types and will inform policymakers, practitioners, and researchers in leveraging AI to cultivate OGD ecosystems.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 58th Hawaii International Conference on System Sciences

ISBN

978-0-9981331-8-8

ISSN

1530-1605

e-ISSN

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Number of pages

10

Pages from-to

2176-2185

Publisher name

University of Hawaii Press

Place of publication

Honolulu

Event location

Waikoloa

Event date

Jan 7, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001443246900260