School of Engineering
Showing 11-20 of 20 Results
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Choi Yue Victoria Woo
Lecturer
Current Research and Scholarly InterestsWoo, V. (2018). With or Without You, How Family Support Can Make or Break A Business, or worse, an Entrepreneur. Paper presented at AOM Start-Up to Scale-Up Conference, Tel-Aviv, Israel.
Woo, V. (2017). Thrive Transitional Experiences- Self-knowledge Improvisation and Transformation Quotient in a highly dynamic world. Chapter 4; Human Capital and Assets in the Networked World; ISBN: 978-1-78714-828-4
Woo, V. (2016). Relation of Self-Knowledge and Improvisation to Thriving Transitional Experiences. Paper presented at the 18th IAMB Conference, Regent University, London, United Kingdom.
Woo, V. (2015). Thriving In Transition: Cognitive, Social and Behavioral Resources For Times Of Change (Doctoral Dissertation).
Woo, V. (2014) User Benefit and Adoption of Web-based Counseling Tool: Designing An Artifact using Action Research Design Methods Special Sessions Presentation at Academy of Marketing Sciences Conference, Indianapolis, Indiana
Woo, V., Boland, R. J., Fry, R., & Lyytinen, K. (2014). Thriving in Transition Through The Lens Of Transformation Quotient: Navigational Competence Of Mobile Executives In Changing Times. Paper presented at the 18th IAMB Conference, Roma Tre University, Rome, Italy.
Woo, V., & Boland, R. J. (2013). Significant Life Changes and Changing Lives: Discovering Lived Lives of International Mobile Professionals. Paper presented at the Third Annual International Conference on Engaged Management Scholarship, Atlanta, Georgia. -
You Wu
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsMy research focuses on the intersection of entrepreneurship and institutions within nascent markets. Theoretically, I take an organizational theory lens to study the temporal dynamics of strategies used to resolve the institutional contradictions between the old and new rules, norms, and practices. Methodologically, I use natural language processing models and other machine learning methods to quantitatively analyze entrepreneurs' fundraising strategies and framing strategies.
