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Tim Hannigan
Associate Professor, Thivierge Chair in Canadian Business, Telfer School of Management, University of Ottawa
Timothy (Tim) Hannigan is an Associate Professor of Strategy and Organization and the Thivierge Chair in Canadian Business at the University of Ottawa's Telfer School of Management.34 He recently joined the Telfer School from the University of Alberta, where he previously held the position of Associate Professor of Organization Theory and Entrepreneurship at the Alberta School of Business.12
Dr. Hannigan's research and teaching interests focus on:
- Organization Theory
- Entrepreneurship
- Innovation
- Interpretive Data Science
- Content Analysis
- Natural Language Processing
- Topic Modeling
- Organizational Wrongdoing
- Scandal
- Corporate Reputation
- Open Innovation
- Network Analysis1
His academic background includes:
- D.Phil (PhD) from the University of Oxford
- M.Sc from the London School of Economics and Political Science
- B.A. (Hons) from Queen's University1
Dr. Hannigan has published in leading academic journals such as Academy of Management Review, Organization Studies, Organization Theory, Research Policy, Strategic Management Journal, and Academy of Management Annals.1 His recent work includes research on the epistemic risks of generative chatbots, the relationship between CEO gender and acquisition activity, and cultural cartography in entrepreneurship.1
As the Thivierge Chair in Canadian Business at Telfer, Dr. Hannigan is expected to contribute significantly to the school's research and teaching excellence in strategy, organization, and entrepreneurship within the Canadian business context.23
Highlights
Our article "A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem" is now online in the journal Research Policy (available as open access).
In this article, we study the emerging entrepreneurial ecosystem around artificial intelligence in Edmonton, Alberta. We approach the concept of an emerging entrepreneurial ecosystem (EEE) considering both cultural and material dimensions, and how they are intertwined. We render cultural and material maps using topic modeling (machine learning) of Twitter feeds and a social network analysis of members of the ecosystem. This approach enables us to track discursive signatures of actors in the EEE, and to theorize about discursive cultural strategies.
Finally, we discuss implications for policy analytics and EEE policy. With Tony Briggs Rodrigo Valadao Marc-David L. Seidel Dev (P. Devereaux) Jennings
#ecosystems #entrepreneurship Should be of interest Innovate Edmonton, Alberta Machine Intelligence Institute (Amii), Alberta Innovates, University of Alberta
The law and big data. Fascinating read Jeremy Hessing-Lewis
