AI Technostress Articles: 77 Papers for Sociotechnical Analysis

77 academic articles on AI-induced technostress, curated for a systematic literature review. The dataset was compiled by Sunet Eybers using Harzing's Publish or Perish and Google Scholar searches, focusing on articles published up to 2026. The final list excludes 17 pre-2020 articles due to the rapid evolution of Generative AI.

Use Cases

• Analyzing thematic patterns in AI-induced technostress based on the article corpus.
• Identifying key cited works in the AI technostress literature based on citation counts.
• Studying the evolution of AI technostress research over time based on publication dates.
• Applying sociotechnical systems theory to AI literature based on the review's stated lens.

Strengths

• 77 articles were selected through a systematic review process.
• The dataset includes citation counts, with the most cited paper having 822 citations.
• Articles were manually checked for completeness, with publication years verified.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (37.9 KB), indicating a limited scope.

Provenance

Source

figshare

Collection Method

Systematic literature review using Harzing's Publish or Perish and Google Scholar searches.

Time Range

Articles published up to 2026, with a focus on post-2020 developments.

Freshness

Last updated 2026-05-08 08:53:05; freshness should be verified.