Under Review

You can also find my articles on my Google Scholar profile.

When Collaboration Bridges Institutions: The Impact of Industry Collaboration on Academic Productivity

Co-author(s): Florenta Teodoridis (USC), Michael Bikard (LBS)

Provisionally accepted in Organization Science, 2018

Prior research suggests that academic scientists who collaborate with firms may experience lower publication rates in their collaborative lines of work due to industry’s insistence on IP protection through patenting or secrecy. The main empirical challenge of examining the effect of industry collaboration on scientific productivity is that research projects that involve industry collaborators may be qualitatively different from those that do not. Hence, any difference in subsequent output of academic scientists who collaborate with industry may be driven by differences in the nature of research projects that attract industry collaborators. To address this issue, we exploit the occurrence of simultaneous discoveries where multiple scientists make roughly the same discovery around the same time. Following a simultaneous discovery, we compare the follow-on research output of academic scientists who collaborated with industry on the discovery with that of academic scientists who did not. We find that academic scientists who collaborated with industry produce more follow-on publications and fewer follow-on patents on their collaborative research lines than their academic peers who did not collaborate with industry. Our results suggest… Read more

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The Pace of Change and Creative Performance: Specialist and Generalist Mathematicians at the Fall of the Soviet Union

Co-author(s): Florenta Teodoridis (USC), Michael Bikard (LBS)

2nd R&R at Administrative Science Quarterly, 2018

Past research is divided on whether specialists or generalists have superior creative performance. While many have highlighted generalists’ advantage due to access to a wider set of knowledge components, others have underlined the benefits that specialists can derive from their deep expertise. We argue that this disagreement might be partly driven by the fact that the pace of change in a knowledge domain shapes the relative return from being a specialist or a generalist. Using the impact of the Soviet Union’s collapse on the performance of theoretical mathematicians as a natural experiment, we show that generalist scientists performed best when the pace of change was slow, but that specialists had an advantage when the pace of change increased. We discuss…. Read more

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An Inside Look: Modeling Heterogeneity in the Organization of Scientific Work

Co-author(s): Hazhir Rahmandad (MIT)

Under review in Organization Science, 2018

Although academic scientists work under similar institutions, norms, and incentives, they vary greatly in how they organize their research efforts and in their outputs. To understand this heterogeneity, we model scientists as publication-maximizing agents and identify two distinct organization patterns that are optimum under different parameters. When the net productivity of a research staff (e.g., PhD students and postdocs) is positive, the funded research model with an entrepreneurial scientist and a large team dominates. When the research staff’s costs exceed its productivity benefits, the hands-on research approach is optimal. Our model provides an explanatory framework for significant heterogeneity of scientists across fields in research funding, supply of scientific workforce, team size, publication output, perceived relevance gap, and stratification patterns over time. Exploratory empirical analysis finds… Read more

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Topic Modeling: Method, Theory, and Application in Management Research

Co-author(s): Dev Jennings (UAlberta), Sarah Kaplan (UofT), Tim Hannigan (UAlberta), Richard Haans (Rotterdam), Vern Glaser (UAlberta), and Milo Wang (UAlberta)

Proposal accepted at Academy of Management Annals, 2018

The paper will start with a brief review of the methodological and theoretical foundations of topic modeling in content and classification analysis (e.g., Weber, 1990), along the way touching on specific issues, such as establishing corpora and their boundaries, pre-processing textual materials, and applying particular interpretive schemes. We will then focus on how topic modeling has shaped theorizing in management. We will examine subject areas where topic modeling has been applied that are relevant to management theory and some of the derived insights for the management field. Our review will finish with new directions in topic modeling research, both methodological (such as new forms of categorization and natural language processing), and theoretical (such as the application of topic models in the political analysis of organizations and interpretive schemes generated by organizational micro-processes)… Read more

Organizing for Innovation: A Contingency Perspective on Innovative Team Composition

Co-author(s): Sarah Kaplan (UofT)

Under review in Strategic Management Journal, 2018

While innovation has increasingly become a collaborative effort, we do not have a consensus about what types of team configurations might be the most useful for creating innovative outputs. Do teams need to include inventors with knowledge breadth or do they need inventors with deep expertise? Do teams need overlapping knowledge to integrate insights from diverse areas or does this redundancy get in the way of innovation? In this paper, we address these tensions by … Read more