AI Performance by Technological Complementarity: Samsung Electronics Patents 1982-2018

A firm-level analysis of patents filed by Samsung Electronics between 1982 and 2018, comparing AI and non-AI technologies. The dataset likely contains metrics for technological impact, generality, and systematic complementarity. It was created by Sangrok Lee and shared on figshare under a CC-BY-4.0 license.

Use Cases

• Compare technological impact between AI and non-AI patents based on the described patent-level metrics.
• Analyze the breadth of application (generality) of AI technologies based on the study's operationalization.
• Investigate systematic complementarity between AI and other technologies as described in the firm-level analysis.
• Replicate or extend the matching analysis of AI and non-AI patents using the provided variables.

Strengths

• Analysis covers a 36-year time range from 1982 to 2018.
• Results are described as robust across alternative matching specifications and multiple variable operationalizations.
• Dataset is small (9.5 KB), facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to patents from a single firm (Samsung Electronics), which may affect generalizability.

Provenance

Source

figshare

Collection Method

Likely derived from patent analysis of Samsung Electronics filings.

Time Range

1982 to 2018

Freshness

Last updated 2026-05-05 17:32:16; freshness should be verified.