UAE Energy Sector Interviews and Survey on AI, IoT, and Cloud Adoption

A mixed-methods study from October 2024 to May 2025 investigates the role of AI, IoT, and cloud computing in workplace collaboration within the United Arab Emirates energy sector. The research includes interviews with 15 professionals and a survey with 115 valid responses, authored by Jack Charles Boath and shared under a CC-BY-4.0 license.

Use Cases

• Analyzing barriers to technology adoption based on themes of resistance to change and fragmented systems.
• Studying the impact of digital tools on cross-functional collaboration based on findings about remote coordination and predictive decision support.
• Evaluating policy recommendations for national collaboration standards and KPI integration mentioned in the discussion.

Strengths

• The study design includes qualitative data from 15 professional interviews and quantitative data from 115 survey responses.
• The research is grounded in established theoretical frameworks, including UTAUT, TAM, RBV, and ANT.
• The dataset has a specific temporal coverage from October 2024 to May 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 49.6 KB DOCX file, indicating a limited scope primarily containing textual analysis rather than raw data.
• Row count is unknown, which may limit suitability assessment for quantitative modeling.

Provenance

Source

figshare

Collection Method

Explanatory sequential mixed-methods design involving interviews and a survey.

Time Range

October 2024 to May 2025

Freshness

Last updated 2026-04-22 05:48:33; freshness should be verified.

Geography

United Arab Emirates