Dr Amanda J Williamson
Lecturer in Innovation and Strategy
Qualifications: PhD; MBS; BBS (First Class Hons)
Amanda is a lecturer in innovation and strategy at Waikato Management School, at the University of Waikato.
Previous to arriving to the University of Waikato she worked at the New Zealand Centre for SME Research, held a Visiting Researcher position in Chile (PUC), and was awarded her PhD at the Institute of Work Psychology (Sheffield, UK).
In the classroom, Amanda focuses on the mind of the entrepreneur. She currently teaches masters students about thinking and managing strategically, and final year students about commercialising a venture.
Amanda's research intersects the fields of entrepreneurship, psychology and artificial intelligence. In the context of entrepreneurial behavior, she is interested in (1) health and emotions, (2) pro-social drivers, and (3) the use of innovative research methods (e.g., machine learning, experience sampling, physiological measurement).
Amanda has published in a leading journal in the field, and has active research projects and international collaborations examining the cross-directional effects between entrepreneurial behaviour, and emotions/health, employing innovative research methods like natural language processing.
An overview of a recent article is provided in the short video below:
Amanda is a member of The Institute for Ethical AI & Machine Learning and affiliated with the following research centres:
- Enterprise Innovation Unit of the New Zealand Institute for Business Research
- Institute of Work Psychology
- EPIC lab (evidenced-based policy and innovation research lab)
Social media and external research profiles:
- Twitter: @_amandajw
- Google Scholar
- ORCID: 0000-0003-3727-4577
- WebOfScience ResearcherID Y-4508-2018
- SSRN Author ID 3429552
- Personal website: https://sites.google.com/view/ajwilliamson/
Currently supervising students studying entrepreneurs' health and emotions or employing innovative research methods in their research (e.g., gamification or natural language processing techniques).
Entrepreneurs' physical and mental health, prosocial entrepreneurship, and innovative research methods.
Williamson, A. (2019). Exploring the dark side and the downside of entrepreneurship with machine learning, sentiment analysis and experience sampling methodologies.. (PhD Thesis, University of Sheffield).
Williamson, A., Battisti, M., Leatherbee, M., & Gish, J. J. (2019). Rest, zest, and my innovative best: Sleep and mood as drivers of entrepreneurs’ innovative behavior. Entrepreneurship Theory and Practice, 43(3), 582-610. doi:10.1177/1042258718798630
Williamson, A., Battisti, M., Drencheva, A., & Ferri, C. (2019). Entrepreneurial disappointment and its link with mental illness: A machine learning study. In The 79th Annual Meeting of the Academy of Management. Boston, Massachusetts.
Williamson, A., & Drencheva, A. (2019). Emotional costs of the entrepreneurial process: A review and agenda for future research. In G. Atinc (Ed.), 79th Annual Meeting of the Academy of Management Vol. 2019 (pp. 40 pages). Boston, Massachusetts. doi:10.5465/AMBPP.2019.10729abstract
Depression; Emotional Intelligence; Human Behaviour; Machine Learning; Management; Psychology; Social Science Research; Strategic Management
Entrepreneurship; Entrepreneurs; Affect; Moods; Innovation; Sleep; Cognition; Passion; Entrepreneurial Passion; Research Methods; Sentiment analysis
Contact DetailsEmail: firstname.lastname@example.org
Room: MSB 4.38
Phone: +64 7 837 9676