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Key Inhibitors of Artificial Intelligence implementation in Greek Systemic Banking

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  • Aristides Papathomas

    (Department of Business Administration, University of Western Macedonia,)

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

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  • Aristides Papathomas, 0000. "Key Inhibitors of Artificial Intelligence implementation in Greek Systemic Banking," Proceedings of Economics and Finance Conferences 14416321, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iefpro:14416321
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    References listed on IDEAS

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    1. Curtis P. Armstrong & V. Sambamurthy, 1999. "Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures," Information Systems Research, INFORMS, vol. 10(4), pages 304-327, December.
    2. Maartje Henderikx & Jol Stoffers, 2022. "An Exploratory Literature Study into Digital Transformation and Leadership: Toward Future-Proof Middle Managers," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    3. Omar H. Fares & Irfan Butt & Seung Hwan Mark Lee, 2023. "Utilization of artificial intelligence in the banking sector: a systematic literature review," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 835-852, December.
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    More about this item

    Keywords

    Artificial Intelligence; TOE framework; inhibitors; banking;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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