TY - GEN
T1 - From Responsible AI Governance to Competitive Performance
T2 - 21st IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2022
AU - Papagiannidis, Emmanouil
AU - Mikalef, Patrick
AU - Krogstie, John
AU - Conboy, Kieran
N1 - Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022
Y1 - 2022
N2 - In a constantly changing environment, researchers and practitioners are concerned with the issue of whether responsible artificial intelligence (AI) governance can help build competitive advantage. Responsible AI governance should be viewed as a source of competitive edge rather than merely a quick fix for automating manual processes. Despite this, little empirical evidence is available to support this claim, and even less is understood about the dimensions and relationships that add business value. This paper develops a conceptual model to explain how responsible AI governance practices aligned with strategic goals lead to competitive performance gains. An investigation of 144 Nordic firms is conducted to verify our hypotheses using a PLS-SEM analysis. Findings reveal that deploying responsible AI governance will make a significant positive impact on an organizations’ knowledge management capabilities directly and on competitive performance indirectly. These findings also suggest that implementing responsible AI governance improves firms’ ability to acquire and distribute knowledge when there is strategic alignment with a firm’s goals.
AB - In a constantly changing environment, researchers and practitioners are concerned with the issue of whether responsible artificial intelligence (AI) governance can help build competitive advantage. Responsible AI governance should be viewed as a source of competitive edge rather than merely a quick fix for automating manual processes. Despite this, little empirical evidence is available to support this claim, and even less is understood about the dimensions and relationships that add business value. This paper develops a conceptual model to explain how responsible AI governance practices aligned with strategic goals lead to competitive performance gains. An investigation of 144 Nordic firms is conducted to verify our hypotheses using a PLS-SEM analysis. Findings reveal that deploying responsible AI governance will make a significant positive impact on an organizations’ knowledge management capabilities directly and on competitive performance indirectly. These findings also suggest that implementing responsible AI governance improves firms’ ability to acquire and distribute knowledge when there is strategic alignment with a firm’s goals.
KW - Competitive performance
KW - Knowledge management capabilities
KW - Responsible AI governance
KW - Strategic alignment
UR - https://www.scopus.com/pages/publications/85137988662
U2 - 10.1007/978-3-031-15342-6_5
DO - 10.1007/978-3-031-15342-6_5
M3 - Conference Publication
AN - SCOPUS:85137988662
SN - 9783031153419
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 58
EP - 69
BT - The Role of Digital Technologies in Shaping the Post-Pandemic World - 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Proceedings
A2 - Papagiannidis, Savvas
A2 - Alamanos, Eleftherios
A2 - Gupta, Suraksha
A2 - Dwivedi, Yogesh K.
A2 - Dwivedi, Yogesh K.
A2 - Mäntymäki, Matti
A2 - Pappas, Ilias O.
A2 - Pappas, Ilias O.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 13 September 2022 through 14 September 2022
ER -