Igor Menezes

Dr Igor Menezes

Senior Lecturer (Associate Professor) in OBHRM and People Analytics

Faculty and Department

  • Faculty of Business, Law and Politics
  • Hull University Business School

Qualifications

  • BSc
  • MSc
  • PhD / DPhil
  • FHEA
  • MS

Summary

Dr Igor Menezes is dedicated to the study and application of artificial intelligence, psychometrics, cognitive science and organisational psychology to help organisations better understand and improve how people work. His focus is on transforming research into practical solutions that create measurable benefits for both employees and employers. Whether in academia or industry, he is driven by a commitment to innovation that delivers real-world impact.

He is an AI Psychometrician, RSS Chartered Statistician (CStat), Advanced Data Science Professional (AdvDSP), Chartered Psychologist (CPsychol), Associate Fellow (AFBPsS) of the British Psychological Society and Senior Lecturer (Associate Professor) in People Analytics at Hull University Business School.

Dr Menezes completed his postdoctoral studies at the University of Cambridge and subsequently worked as a Research Associate at the Judge Business School. With over two decades of academic experience, he has taught undergraduate and postgraduate modules in quantitative methods, psychometrics, research methods, organisational behaviour and people analytics. He has also coordinated research teams and laboratories for more than fifteen years as principal investigator on various grants and funded projects. In addition, he has supervised numerous Master’s and PhD students and published research on the development, adaptation and validation of instruments across fields such as psychology, organisational behaviour, healthcare, education and personality.

His research interests span artificial intelligence, computer vision, data science, causal inference, people analytics, psychometrics, statistical programming (R and Python) and advanced quantitative methods in organisational psychology and OB/HRM. He is particularly passionate about integrating AI and computer vision algorithms with psychometric methods to develop innovative, data-driven solutions for individuals and organisations.

Committed to bridging the gap between academic research and industry application, Dr Menezes has collaborated with organisations in the UK and Latin America on projects that assess workplace behaviours and identify key indicators for enhancing both individual and organisational performance.

He is currently accepting PhD students who are passionate about advancing and applying artificial intelligence, latent trait models, network analysis and causal inference to address complex organisational challenges. His supervisory areas include HR metrics, social cognition and organisational behaviour, offering candidates a unique opportunity to work at the intersection of emerging technologies and real-world business problems.

- Psychometrics

- Quantitative methods

- Research methods

- People Analytics

- Predictive modelling (AI)

Recent outputs

View more outputs

Book Chapter

Estudo das relações entre vari veis segundo an lises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses)

Menezes, I., de Andrade, J., Barbosa, F., & Borges-Andrade, J. (2024). Estudo das relações entre variáveis segundo análises de moderação e mediação (Examining relationships between variables through moderation and mediation analyses). In A. B. Soares, M. C. Monteiro, M. E. de Melo Jardim, R. Ribeiro, & C. A. Cobellas de Medeiros (Eds.), Metodologia Quantitativa:Técnicas e Exemplos de Pesquisa (63-85). Appris Editora

Journal Article

Exploring the Impact of Conceptual Bottlenecks on Adversarial Robustness of Deep Neural Networks

Rasheed, B., Abdelhamid, M., Khan, A., Menezes, I., & Masood Khatak, A. (2024). Exploring the Impact of Conceptual Bottlenecks on Adversarial Robustness of Deep Neural Networks. IEEE Access, 12, 131323-131335. https://doi.org/10.1109/ACCESS.2024.3457784

Guest editorial: new horizons in organizational cognition

Toma, C., Menezes, I., & Secchi, D. (2021). Guest editorial: new horizons in organizational cognition. International Journal of Organization Theory & Behavior, 24(3), 173-177. https://doi.org/10.1108/ijotb-09-2021-169

Measuring organizational climate via psychological networks analysis

Menezes, I., Menezes, A. C., Moraes, E., & P. Pires, P. (2021). Measuring organizational climate via psychological networks analysis. International Journal of Organization Theory & Behavior, https://doi.org/10.1108/IJOTB-08-2020-0142

Development and Psychometric Properties of the Cognitive Distortions Questionnaire for Adolescents (CD-Quest-T)

de Souza, C. L. S. G., Pires, P. P., Couto, I. S. L., de Vasconcelos, N. S. S. M., Menezes, I. G., & de Oliveira, I. R. (in press). Development and Psychometric Properties of the Cognitive Distortions Questionnaire for Adolescents (CD-Quest-T). Trends in Psychiatry and Psychotherapy, https://doi.org/10.47626/2237-6089-2021-0214

Research interests

His main research interests revolve around designing Complex Networks to investigate psychological constructs and understand human behaviours within the following areas:

- AI, computer vision, interpretable, and explainable machine learning: Leveraging complex network design to understand patterns and relationships in AI and computer vision applications when investigating psychological constructs.

- Psychometrics: Employing complex network designs to develop and validate psychometric instruments, mapping intricate relationships between psychological constructs and behaviours using psychometric networks.

- People Analytics: Applying complex network structures, such as Bayesian networks and psychometric networks to analyse people data.

- Causal Inference: Designing causal graphs to infer causal relationships between variables, enabling a deeper understanding of causal mechanisms underlying human behaviours.

Topics:

- Micro-organisational behaviours (e.g., organisational commitment, organisational citizenship behaviours, employee turnover, etc.): Investigating behaviours using complex network analysis to uncover underlying patterns and dynamics within organisational contexts.

- Meso-organisational behaviours: Analysing behaviours such as team dynamics through the lens of complex networks to identify key factors influencing team performance and collaboration.

- Macro-organisational behaviours: Exploring behaviours like organisational climate and culture by employing complex network approaches to capture the multifaceted relationships and influences within organisational structures.

- Individual differences: Exploring individual differences in personality and personal values using complex network models, shedding light on the interconnections between traits and behaviours.

Postgraduate supervision

Organisational climate

Organisational commitment / engagement

Organisational citizenship behaviours

Turnover intentions / reasons

Awards and prizes

Research productivity fellowship

2014 - 2016

The Brazilian National Council for Scientific and Technological Development. £ 10,000 research productivity fellowship, ‘Prova Brasil: development of its indicators and a system for multidimensional computerised adaptive testing (MCAT)’

External examiner role

Member of the Psychology Advisory Board of Pearson Education UK

2019

Membership/Fellowship of professional body

Chartered Statistician (CStat)

2023

In 2023, I was awarded the Graduate Statistician (GradStat) status by The Royal Statistical Society.

ABP Principal practitioner member 

2018

Association for Business Psychology 

BPS Chartered Psychologist (CPsychol) and Associate Fellow

2018

British Psychological Society. Membership number: 350051

BPS RQTU member

2014

Register of Qualifications in Test Use (RQTU 350051). British Psychological Society (BPS). The BPS Certificate of Occupational and Personality Test Use.

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