LabCompass

Michael A. Campion

Business, Management and Accounting · Purdue University West Lafayette

Established · publishing since 1971

Publications

247

Citations

21,118

Est. group size

Recurring co-author estimate

Active years

56

Publishing since 1971

Research summary
AI-generated

Michael A. Campion studies human resource management practices, especially how organizations recruit, select, and evaluate employees. Recent work focuses heavily on how artificial intelligence and machine learning (computer methods that learn patterns from data) and text analysis are changing hiring, personnel selection, and workforce management, along with questions of fairness and legal compliance in these new tools.

Personnel selection and hiring practicesAI and machine learning in HRText and social media analysis in employment decisionsHigh-performance work practices and organizational performanceFairness, legal compliance, and subgroup differences in assessment

Publication output has remained fairly steady over the past decade, dipping slightly around 2023 before rising notably in 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
2017: 6 publications172018: 4 publications182019: 6 publications192020: 5 publications202021: 4 publications212022: 5 publications222023: 3 publications232024: 4 publications242025: 9 publications9252026: 3 publications26
Recent publications
Publishes in
  • Human Resource Management×6
  • Academy of Management Proceedings×6
  • Journal of Applied Psychology×5
  • International Journal of Selection and Assessment×3
  • PsycTESTS Dataset×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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