Enabling AI capabilities in government agencies: A study of determinants for European municipalities
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In: Government Information Quarterly, Vol. 39, No. 4, 101596, 01.10.2022.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Enabling AI capabilities in government agencies
T2 - A study of determinants for European municipalities
AU - Mikalef, Patrick
AU - Lemmer, Kristina
AU - Schaefer, Cindy
AU - Ylinen, Maija
AU - Fjørtoft, Siw Olsen
AU - Torvatn, Hans Yngvar
AU - Gupta, Manjul
AU - Niehaves, Bjoern
N1 - © 2021 The Author(s). Published by Elsevier Inc. The authors acknowledge the financial support from the Slovenian Research Agency (research core funding No. P5–0410).
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities.
AB - Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities.
KW - Informatics
KW - AI capabilities
KW - Artificial intelligence
KW - Public organizations
KW - TOE framework
KW - AI capabilities
KW - Artificial intelligence
KW - Public organizations
KW - TOE framework
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85108562674&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/ad7f7854-78aa-3762-bc47-7999e9f9ff4a/
U2 - 10.1016/j.giq.2021.101596
DO - 10.1016/j.giq.2021.101596
M3 - Journal articles
AN - SCOPUS:85108562674
VL - 39
JO - Government Information Quarterly
JF - Government Information Quarterly
SN - 0740-624X
IS - 4
M1 - 101596
ER -