Coded corpus for "Human–AI Complementarity at Work: A Systematic Review of Trust, Attitudes, and Employee Outcomes" (174 studies, 2019–2025)

Description

This dataset is the complete data-extraction and coding sheet underpinning a PRISMA 2020 systematic literature review of artificial intelligence (AI) in the workplace. From a systematic search and screening of the peer-reviewed literature, 174 articles published between 2019 and 2025 were included and coded. For every included study the sheet records its bibliographic details (title, authors, year, country, and source journal), its methodological orientation, a concise statement of its key conclusions, the open codes generated during thematic analysis, and the broad theme under which it was classified. Together these fields reproduce the descriptive analyses reported in the review — the year-wise, method-wise, and geographic distributions of the corpus — and its thematic synthesis across five themes, and they allow other researchers to trace each claim in the article back to its underlying sources, re-analyse the corpus, or extend the review. The data are derived entirely from already-published scholarly articles and contain no human-participant or personal information.

Institutions

• Jamia Millia Islamia

  Delhi, New Delhi

Categories

Licence