Trust Configurations in AI Adoption: Analyzing Organizational Dynamics

Ashvini Kumar Mishra

Trust Configurations in AI Adoption: Analyzing Organizational Dynamics

Authors: Ashvini Kumar Mishra

Published: 2025-02-21 14:37:31.331

Abstract

This paper examines the dynamics of trust configurations in AI adoption within organizations and their implications for AI performance and organizational integration. The study investigates how varying degrees of trust influence AI acceptance and use, analyzing five trust states: full trust, full distrust, uncomfortable trust, blind trust, and their organizational consequences. Through qualitative research, incorporating real-life observations and interviews, the study provides a nuanced understanding of trust’s role in AI adoption. Findings indicate that full trust enhances engagement and decision-making, while distrust and blind trust present adoption challenges. The study highlights the importance of balanced trust configurations for optimizing AI integration.

Keywords

Trust in AI, organizational trust, blind trust, full distrust

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How to Cite

Ashvini Kumar Mishra, (2025-02-21 14:37:31.331). Trust Configurations in AI Adoption: Analyzing Organizational Dynamics. Abhi International Journal of Management Studies, Volume hfkvqQvJOOQfQ4jxyAbR, Issue 1.

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Abhi International Journal of
Management Studies ( AIJMST )