Research References
Research References
The AI Archetype Quiz framework is built on established academic research in technology adoption, behavioral science, and organizational change management.
Framework Foundation
Our archetype framework synthesizes insights from diffusion of innovations theory, the Unified Theory of Acceptance and Use of Technology (UTAUT), and behavioral research on AI adoption patterns. The quiz identifies personality-driven approaches to workplace AI implementation based on validated psychological and organizational behavior models.
Technology Adoption & Innovation Models
Lampo, A. (2022). How is technology accepted? Fundamental works in user technology acceptance from diffusion of innovations to UTAUT-2. In Proceedings of the 8th International Conference on Industrial and Business Engineering (pp. 260–266). ACM. https://doi.org/10.1145/3568834.3568903
Diffusion of innovations. (n.d.). Wikipedia. https://en.wikipedia.org/wiki/Diffusion_of_innovations
Technology adoption life cycle. (n.d.). Wikipedia. https://en.wikipedia.org/wiki/Technology_adoption_life_cycle
Ethics, Risk, and Organizational Change
Ajmani, L. H., Abdelkadir, N. A., & Chancellor, S. (2025, June 23–26). Secondary stakeholders in AI: Fighting for, brokering, and navigating agency. In FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (pp. TBD). ACM. https://doi.org/10.1145/3715275.3732071
Bird, E., Fox-Skelly, J., Jenner, N., Larbey, R., Weitkamp, E., & Winfield, A. (2020). The ethics of artificial intelligence: Issues and initiatives. European Parliamentary Research Service. https://www.europarl.europa.eu/RegData/etudes/STUD/2020/634452/EPRS_STU(2020)634452_EN.pdf
Golgeci, I., Ritala, P., Arslan, A., McKenna, B., & Ali, I. (2025). Confronting and alleviating AI resistance in the workplace: An integrative review and a process framework. Human Resource Management Review, 35, 101075. https://doi.org/10.1016/j.hrmr.2024.101075
Iyer, V., Manshad, M., & Brannon, D. (2024). A value-based approach to AI ethics: Accountability, transparency, explainability, and usability. Redalyc. http://dx.doi.org/10.32870/myn.vi54.7815
Shekar, K., Shreya, S., Rizvi, K., Galindo, L., Nugteren, M., & Arora, R. (n.d.). Stakeholder engagement for responsible AI. Meta Open Loop. https://openloop.org/reports/2024/09/india-report-stakeholder-engagement-for-responsible-ai.pdf
Stoeva, R., & Kostadinova, I. (2023). Change management in the implementation of AI technology: Organizational aspects. In 6th International Conference on Advanced Research in Management, Business and Finance, Amsterdam, Netherlands. http://dx.doi.org/10.33422/6th.icmbf.2023.06.107
Tjondronegoro, D. (n.d.). TOAST framework: A multidimensional approach to ethical and sustainable AI integration in organizations. https://arxiv.org/pdf/2502.00011
Psychological & Behavioral Insights
Brooks, C., & Williams, L. (2021). The impact of personality traits on attitude to financial risk. Research in International Business and Finance, 58, 101501. https://doi.org/10.1016/j.ribaf.2021.101501
De Freitas, J., Agarwal, S., Schmitt, B., & Haslam, N. (2023). Psychological factors underlying attitudes toward AI tools. Nature Human Behaviour. https://doi.org/10.1038/s41562-023-01734-2
Education, Perception & Workforce
Defining the archetypes | Workforce, training and education – Digital Transformation. (n.d.). Building a digital workforce: Developing healthcare workers' confidence in AI (Chapter 2: Workforce archetypes). Health Education England. https://digital-transformation.hee.nhs.uk/building-a-digital-workforce/dart-ed/horizon-scanning/developing-healthcare-workers-confidence-in-ai/chapter-2-workforce-archetypes/defining-the-archetypes
Examining factors of student AI adoption through the value-based adoption model. (2024). Issues in Information Systems, 25(3), 218–230. https://doi.org/10.48009/3_iis_2024_117
AI governance in 2025: Expert predictions on ethics, tech, and law. (n.d.). Forbes. https://www.forbes.com/sites/dianaspehar/2025/01/09/ai-governance-in-2025--expert-predictions-on-ethics-tech-and-law/
Citation & Use
When referencing the AI Archetype Quiz in academic work, please cite as:
Carroll, R. (2025). AI Archetype Quiz: Understanding Workplace AI Adoption Patterns Through Behavioral Archetypes. Accelerating Humans. Available at: https://aiarchetypes.acceleratinghumans.com