Working Papers

  • Human Capital and Firm-level R&D Disclosure Strategy in Artificial Intelligence Research

(Manuscript in preparation for Management Science)Abstract: Different kinds of literature have suggested inconsistent answers to motivations behind a firm’s publications strategy, which, unlike patents, does not afford property rights but rather increases the chances of expropriation. A key unanswered question in the literature is: do firms use publications as an instrument to recruit scientists? Drawing on the innovation literature, I argue that when a labor market shortage affords scientists higher bargaining power, firms tend to disclose more internal R&D via publications. To test this hypothesis, I use a novel dataset of 200 million job posts and 1.7 million firm-level publications. For identification strategy, I exploit the unanticipated rise of deep learning in AI, which resulted in a shortage of AI talents, and thus, increased scientists’ bargaining power. I demonstrate how human capital bargaining power increases firm-level R&D disclosure. This relationship is particularly salient when firms need highly trained scientists (e.g., PhD holders). Further, I document that AI job posts increase the number of AI publications, but only in the same fields of increased demands. Finally, using a novel methodology, I document that labor shortage did not increase the number of patent-paper pairs or simultaneous disclosure of the same research projects in both patents and papers."
  • [Digitial value capture around a policy shock] (with M Joshi, JP Vergne & N Su)

Reject after first round R&R at Strategic Management Journal. Preparing for submission.

Honorable Mention, Organization Theory Division, ASAC, Canada 2019

Best Paper Award, Strategic IT track, AMCIS, USA 2018

  • Trigger Events and the Evolution of Scientific Research: Organizations Shaping Research in Artificial Intelligence (with R Mostafa)

(Manuscript in preparation for Strategic Management Journal)
  • The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research (with M Wahed)

Working Paper

Nominated, Best PhD Paper Prize, SMS, 2020

Nominated, Research Methods Paper Prize, SMS 2020

Media coverage: VentureBeat, Scientific American, Axios, Marginal Revolution, The National Security Commission on Artificial Intelligence and Stanford AI Index (2021).

  • Technological Discontinuities and R&D Collaboration Strategies: How Deep Learning Changed Firm-level Collaboration Strategies in Artificial Intelligence

Nominated, Best PhD Paper Prize, SMS, 2020

Finalist, Max Boisot Award, EGOS, July 2018

Winner, Lazaridis Institute Entrepreneurship Poster Competition at WLU, June 2018

Dormant projects:

#GirlPower: Women’s Political Empowerment and Female Entrepreneurship (With M Seong)

Annual Meeting of the Academy of Management, 2018

1st Runner-up, Lazaridis Institute Entrepreneurship Poster Competition at WLU June 2018

Determinants of Firms Nonmarket Strategy: Ownership and Lobbying in Emerging Economies

Annual Meeting of the Academy of Management, 2017

Research Position

Research Fellow, The Scotiabank Digital Banking Lab, Ivey Business School, October 2018 - Present