Dr Amanda J Williamson
Senior 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. She is passionate about the adoption of artificial intelligence, and the ways it can be leveraged in business and in research. Amanda teaches business strategy and researches the health of entrepreneurs via innovative research methods.
Previous to arriving at the University of Waikato she worked at the New Zealand Centre for SME Research, held a Visiting Researcher position in Chile (PUC, School of Engineering), and was awarded her PhD at the Institute of Work Psychology (Sheffield, UK).
Dr Williamson engages in (1) AI-aligned strategy consulting, (2) teaching, and (3) research. These three activities are outlined next.
Amanda helps leaders identify the business growth possibilities of an AI-aligned strategy. She combines expertise in big-picture thinking around strategy and innovation, with thought-leadership in artificial intelligence and emerging technologies, to demonstrate how strategy and AI can work together.
Dr Williamson was the winner of the Divisional Teaching Excellence Award (Waikato Management School, awarded in 2020), and the research excellence award called the "Early Career Researcher Award" (Waikato Management School, awarded in 2022). In the classroom, Amanda teaches entrepreneurship, strategy and foresight.
Teaching in 2022
Courses she has taught this year include:
- MNMGT515-22A (HAM) A-Trimester, Leading for an Uncertain Future
- Executive courses:
Amanda's research intersects the fields of strategy/entrepreneurship, psychology and artificial intelligence. She is interested in the health/emotions of entrepreneurs, and the use of innovative technologies (e.g., machine learning, experience sampling, physiological measurement).
Amanda has published multiple articles in the leading journal in her 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.
Video overviews of research articles
Amanda holds the following research positions:
- Associate of the AI Institute
- Researcher in the New Zealand Institute for Business Research
- Partner of the EPIC lab (evidenced-based policy and innovation research lab)
- Editorial Board Member (Engagement Director) at Entrepreneurship Theory and Practice
Dr Amanda J Williamson MSB 4.38
C/O Waikato Management School
The University of Waikato
Private Bag 3105
Rojas-Córdova, C., Pertuze, J., Williamson, A. J., & Leatherbee, M. (2022). More structure or better social practices? Using a contingency lens to address ambidexterity gaps in innovative SMEs. International Journal of Emerging Markets, online, 26 pages. doi:10.1108/ijoem-04-2021-0572
Williamson, A., Battisti, M., & Pollack, J. (2022). Capturing passion expressed in text with artificial intelligence (AI): Affective passion waned, and identity centrality was sustained in social ventures. Journal of Business Venturing Insights, 17, e00295. doi:10.1016/j.jbvi.2021.e00295
Williamson, A. J., Drencheva, A., & Wolfe, M. T. (2022). When do negative emotions arise in entrepreneurship? A contextualized review of negative affective antecedents. Journal of Small Business Management, online, 46 pages. doi:10.1080/00472778.2022.2026952
Williamson, A. J., Short, J. C., & Wolfe, M. T. (2021). Standing out in crowdfunded microfinance: A topic modeling approach examining campaign distinctiveness and prosocial performance. Journal of Business Venturing Insights, 16. doi:10.1016/j.jbvi.2021.e00261
Data; Emotional Intelligence; Human Behaviour; Machine Learning; Management; Psychology; Social Science Research; Strategic Management; Technology
Entrepreneurship; Entrepreneurs; Affect; Moods; Innovation; Sleep; Cognition; Passion; Entrepreneurial Passion; Research Methods; Sentiment analysis
Contact DetailsEmail: [email protected]
Room: MSB 4.38
Phone: +64 7 837 9676