Innovative Technologies and Workplace Collaborations in the Energy Sector based in the United Arab Emirates (UAE)

The UAE energy sector is navigating digital transformation mandates such as the UAE AI Strategy 2031 and Net Zero commitments, with technologies like AI, IoT and cloud computing creating new avenues for real-time coordination, data-driven decision-making and cross-functional collaboration. These opportunities are tempered by challenges of organisational readiness, cultural inertia and technological integration. Yet, research on innovative practices in the UAE energy context remains limited. Therefore, this study investigates the role of AI, IoT and cloud computing in shaping workplace collaboration in the UAE energy sector, using an explanatory sequential mixed-methods design. Phase 1 (15 October 2024 – 31 January 2025) involved interviews with 15 professionals in operations, IT and leadership roles from major energy companies, analysed via thematic analysis. Phase 2 (15 February 2025 – 15 May 2025) distributed a survey to a broader sample, yielding 115 valid responses, which were analysed quantitatively. The study is primarily grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), with the Technology Acceptance Model (TAM), Resource-Based View (RBV) and Actor-Network Theory (ANT) serving as supporting interpretive lenses. Findings show that AI, IoT and cloud platforms enhance collaboration, especially in remote coordination and predictive decision support, but adoption is hindered by resistance to change, fragmented systems and uneven digital literacy. Practical implications include modular rollouts, digital maturity audits and AI onboarding programs. Policy recommendations include national collaboration standards, KPI integration and incentives for joint innovation projects.