Artificial Intelligence Adoption and Employee Relations: A Conceptual Model of Trust as the Mediating Mechanism Linking AI-Assisted HR Decision-Making and Workforce Adaptability to Organizational Outcomes

• Author(s): Collins Vincent Tamunoseipriye; Dr. Helen Nneka Ofor
• Paper ID: 1719434
• Page: 148-163
• Published Date: 02-07-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 10 Issue 1 July-2026

Abstract

The accelerating diffusion of artificial intelligence (AI) into human resource management has outpaced scholarly understanding of how AI-related organizational change actually shapes the employment relationship. Existing research tends to treat AI-assisted decision-making, employee adaptability, and employee trust in AI as parallel, co-equal predictors of relational outcomes such as satisfaction, engagement, and workplace trust, despite accumulating evidence that trust performs a mediating rather than a merely additive function. This conceptual paper addresses that gap by synthesizing the technology acceptance, unified technology acceptance and use, psychological contract, and trust-in-automation literatures into an integrative model, termed the AI-HR Relational Trust Cascade, in which employee trust in AI systems is positioned as the conversion mechanism through which AI-assisted HR decision-making and employee adaptability translate into employee relations outcomes, rather than as one variable operating alongside them.The paper adopts a systematic narrative review methodology, critically analysing peer-reviewed literature published predominantly between 2019 and 2026 across human resource management, organizational psychology, and information systems journals. The review finds consistent evidence that the transparency, explainability, and perceived fairness of AI-driven decisions determine whether AI adoption strengthens or erodes the psychological contract, and that adaptability functions as a precondition for, rather than a substitute for, trust formation. Where these conditions are absent, AI adoption is associated with technostress, perceived breach of the psychological contract, and declining engagement, even where the underlying technology performs efficiently. The paper concludes that organizations pursuing AI-enabled HR transformation without deliberately building employee trust risk converting efficiency gains into relational deficits. Theoretical contributions, practical implications for HR governance, and an agenda for future empirical validation of the proposed model are discussed.

Keywords

Artificial Intelligence, Human Resource Management, AI-Assisted Decision-Making, Employee Trust; Psychological Contract, Employee Engagement, Workplace Trust, Technology Adoption, Employment Relations

Citations

IRE Journals:
Collins Vincent Tamunoseipriye, Dr. Helen Nneka Ofor "Artificial Intelligence Adoption and Employee Relations: A Conceptual Model of Trust as the Mediating Mechanism Linking AI-Assisted HR Decision-Making and Workforce Adaptability to Organizational Outcomes" Iconic Research And Engineering Journals Volume 10 Issue 1 2026 Page 148-163 https://doi.org/10.64388/IREV10I1-1719434

IEEE:
Collins Vincent Tamunoseipriye, Dr. Helen Nneka Ofor "Artificial Intelligence Adoption and Employee Relations: A Conceptual Model of Trust as the Mediating Mechanism Linking AI-Assisted HR Decision-Making and Workforce Adaptability to Organizational Outcomes" Iconic Research And Engineering Journals, 10(1) https://doi.org/10.64388/IREV10I1-1719434