Key Inhibitors of Artificial Intelligence implementation in Greek Systemic Banking
Aristides Papathomas ()
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Aristides Papathomas: Department of Business Administration, University of Western Macedonia,
No 14416321, Proceedings of Economics and Finance Conferences from International Institute of Social and Economic Sciences
Abstract:
Artificial Intelligence (AI) is fast becoming an integral determinant of digital transformation in banking. Its successful implementation can influence overall progress or stagnation for the institution?s technological advancement. This paper presents a TOE structured assessment framework for key inhibitors that determine the AI implementation potential on Greek banking institutions. Despite facing various pressures, the Greek banking system is progressing in its digital transformation and AI implementation, although still at early stages. The study utilized empirical case study approach, literature review and market observations. The paper identified and reviewed seven inhibitors within technical, organizational and extremal environments that shape and influence AI pace of implementation. The practical implications of this study can assist bank leaders in assessing their current position in the AI digital journey and planning for the future. SEM or similar research will help strengthen the belief in the findings
Keywords: Artificial Intelligence; TOE framework; inhibitors; banking (search for similar items in EconPapers)
JEL-codes: L21 M10 O32 (search for similar items in EconPapers)
Pages: 11 pages
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Published in Proceedings of the Proceedings of the International Conference on Economics, Finance & Business, Paris, Nov -0001, pages 119-129
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https://iises.net/proceedings/international-confer ... 44&iid=008&rid=16321 First version, 0000
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Persistent link: https://EconPapers.repec.org/RePEc:sek:iefpro:14416321
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