Historical Imprints and Firm Strategy: The case of German Firms and Nazi legacy

Abstract

This paper explores the role of trust in the adoption and integration of artificial intelligence (AI) within organizations. It analyzes the impact of trust on AI acceptance, focusing on five distinct trust configurations: full trust, full distrust, uncomfortable trust, blind trust, and balanced trust. Using qualitative research methods, including real-life observations and interviews, the study highlights how trust dynamics influence AI performance and organizational outcomes. The findings suggest that balanced trust fosters effective AI adoption, while extremes of trust or distrust hinder engagement and decision-making. The study underscores the importance of cultivating an optimal trust balance for successful AI implementation.