TITLE:
From Control to Collaboration: Organisational Structures That Enable Successful AI Adoption by Structured Scoping Review
AUTHORS:
Minwoo Kim, James Suh
KEYWORDS:
Artificial Intelligence Adoption, Organisational Structure, AI Governance, Human-AI Collaboration, Automation Bias
JOURNAL NAME:
Open Journal of Business and Management,
Vol.14 No.2,
March
19,
2026
ABSTRACT: Organisational adoption of artificial intelligence (AI) is increasingly linked to productivity gains and competitive advantage, yet many firms struggle to convert pilots into sustained, organisation-wide value. This structured review synthesises evidence from a focused set of recent peer-reviewed studies examining human-AI decision support, cognitive biases arising from AI recommendations, human-AI collaboration, and AI governance. Three cross-cutting themes recur across the literature. First, research has shifted from emphasising organisational control over AI systems towards designing interdependent human-AI collaboration at scale, in which tasks are allocated according to complementary strengths. Second, individual-level misuse of AI (for example, overreliance, anchoring, or automation bias) can diffuse through group processes and escalate into organisation-wide decision failures. Third, regulatory fragmentation and uncertainty impose compliance and operating-model burdens that can delay adoption and constrain deployment. Building on these themes, the paper proposes practical, structure-sensitive recommendations for six common organisational forms (hierarchical, matrix, flat, hub-and-spoke network, divisional, and team-based). For each structure, recommendations are organised around three implementation lenses: regulatory barriers to adoption, post-adoption risk controls, and organisational conditions that enable effective and productive AI use. The resulting framework is intended to support entrepreneurs and managers in selecting feasible structural interventions aligned with organisational constraints, risk tolerance, and governance capacity.