Matthew J. Monnot, PhD

Industrial-Organizational Psychologist · People Scientist · OD Consultant

I partner with leaders and organizations to enhance performance, culture, and well-being — drawing on experience in academia, executive education, and corporate people analytics.

Selected Publications

Afloat or Adrift: Latent Personality Profiles and Future-of-Work Skills Across Midlife

PsyArXiv (preprint)
The Good Life Versus the “Goods Life”: Goal Contents Theory and Employee Subjective Well-Being Across Asian Countries

Journal of Happiness Studies
Getting to the CORE: Putting an End to the Term “Soft Skills”

Journal of Management Inquiry
Subjective Well-Being at Work: Disentangling Source Effects of Stress and Support

Journal of Vocational Behavior

View all publications →

Featured Projects

The AI Paradox

SIOP Leading Edge Consortium 2026 — digital goody bag

A two-wave helping-profession study and a locked language-model coding pipeline. Human codes stayed on the map. No engineered prompt met the acceptance bar; no prompt was chosen on test. Ten years of nurses' forum talk named the apparatus, not AI: seven named-AI events in 7,709 posts, and what moved was control over the work, not skill. Open the digital goody bag →

BF₀₁ = 481.5 Registered next-year meaning block favored the null; concurrent WAMI tracked the codes

Monnot, M. J., & Thompson, I. (2026, September 30–October 1). The AI paradox: How optimization may undermine meaningful work [Poster presentation]. Society for Industrial and Organizational Psychology Leading Edge Consortium, Baltimore, MD, United States. https://mjmonnot.github.io/lec-2026/

Predicting Personality from Text

SIOP 2019 Machine Learning Competition — post-hoc winning solution

Four-step role-play questionnaire pipeline: read five text answers, role-play the persona, answer 30 BFI-2 items in character, then reverse-score and aggregate to OCEAN trait scores. — Role-play pipeline: text → persona → BFI-2 items → OCEAN scores · click to enlarge

A leakage-safe stack of zero-shot LLM extractors and classical models predicting Big Five traits from five short open-ended responses — beating the original leaderboard by ~23%.

Test r = 0.3215 vs. 0.26021 for the 2019 first-place team — about 2× the entire original top-four spread

Afloat or Adrift

Latent personality profiles & future-of-work skills (MIDUS)

Figure 1A from the MIDUS preprint: latent state means for four personality profiles across Neuroticism, Extraversion, Openness, Agreeableness, Conscientiousness, and Agency. — Figure 1A — four replicated profiles (Resilient, Distressed, Reserved, Antagonistic) · click to enlarge

A longitudinal study of Big Five profile configurations across midlife — and whether people move between them over two decades — linking those patterns to future-of-work skills.

N = 7,108 Distressed membership shrank from 29.5% to 7.2% across ~20 years

Automated Meta-Analytic Coding

SIOP 2026 Machine Learning Competition — team One Hot Key

Six-gate cascading pipeline from the SIOP 2026 presentation: PDF Acquisition, Layout Extraction, Regex plus phi4 Classifier, Vision Fallback, Structured LLM Extraction, and Imputation. — Gates 1–6 — cascading fallback from cheap precision to recovery · click to enlarge

An end-to-end local-model pipeline that extracts zero-order Pearson r correlations from published I-O PDFs — a solo-plus-AI-agents experiment against full research teams.

MSE 0.0136 Dev-set rank 6th of 24; test set submitted April 2026