12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
← Browse all papers
Research theme

Productivity Effects

The Productivity Effects theme comprises 464 papers in this corpus published between 1994 and 2026. Work here is dominated by Empirical Study, Experimental, Survey. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Empirical Study149 (32%)
  • Experimental98 (21%)
  • Survey40 (9%)
  • Mixed Methods38 (8%)
  • Case Study24 (5%)
  • Design Science23 (5%)

Research domains

  • Research Productivity291 (63%)
  • Human-AI Collaboration122 (26%)
  • Doctoral Training24 (5%)
  • Data Analysis12 (3%)
  • Academic Writing7 (2%)
  • Scholarly Infrastructure3 (1%)

Frequent sub-topics

ChatGPT impact on student learning outcomes · 2ai_collaboration_modalities_and_job_interview_performance · 1ai_fatalism_and_student_outcomes · 1embodied_ai_presence_in_academic_study · 1Deep Structure Usage and information overload mitigation · 1developer productivity metrics in AI-assisted software development · 1knowledge hiding and job insecurity in agentic AI adoption · 1GenAI for survey design and rapid task learning · 1

Open research gaps

  • Not explicitly stated in the provided abstract.
  • The abstract does not explicitly identify specific research gaps or future research directions.
  • The authors identify the need for empirical testing of three falsifiable propositions derived from their framework over a 10-year horizon. They highlight that prior production function frameworks have
  • Not explicitly stated in the abstract
  • The authors identify the need for integrating spatial econometrics with spatial scientometrics and suggest that usage data can be leveraged for detecting emerging research hotspots.

Representative papers

← Browse all papersPriority research agenda →