Intl. Conference on Economics, Finance & Business, Paris

KEY INHIBITORS OF ARTIFICIAL INTELLIGENCE IMPLEMENTATION IN GREEK SYSTEMIC BANKING

ARISTIDES PAPATHOMAS

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