AI-Enabled Operational Responsibility in Renewable Energy Ecosystems

dataset contains coded scores and governance indicators for contractual characteristics from six multinational corporations operating in the European renewable-energy ecosystem. The data was constructed through comparative qualitative coding based on publicly available corporate documentation, analyst reports, technical publications, and infrastructure announcements.

Use Cases

• Analyzing how AI-enabled offerings redistribute operational decision rights across firms
• Triangulating coded scores with primary-source references for case studies
• Benchmarking flagship inter-firm AI offerings along scope, depth, and locus dimensions

Strengths

• 300+ KB of coded framework enabling replication
• Six corporation cases enabling cross-case comparison
• Explicit coding justifications provided for each analytical dimension
• Auxiliary governance indicators captured beyond core scores

Limitations

• Data limited to European renewable-energy ecosystem
• Sample size of six corporations may limit generalizability
• Relies on publicly disclosed documentation; internal contracts not included
• Last updated 2026-05-10 13:27:21 may not reflect latest offerings

Provenance

Source

figshare

Collection Method

Comparative qualitative coding of public corporate documents

Time Range

Time coverage not specified

Freshness

Last updated 2026-05 10 13:27:21

Geography

European renewable-energy ecosystem