Research Interest

My research explores how entrepreneurs can communicate the value of their innovations in the age of digitization. In particular, my three-essay dissertation sponsored by Strategy Research Foundation investigates different ways in which entrepreneurs can engage in interactive conversations with their audiences on online platforms to gain support for their innovations. I propose that, contrary to our previous understanding, entrepreneurs may benefit from frames that are different from those of their conversational partners, ambiguous, or controversial

To test these ideas, I use novel machine learning approaches to examine rich conversational data on Twitter and Product Hunt, an online community for discovering early-stage entrepreneurial products. 

Refereed Publications

[1] Greve, Henrich R., & Jamie Seoyeon Song. 2017. “Amazon Warrior: How a Platform Can Restructure Industry Power and Ecology” in Advances in Strategic Management, vol. 37

[2] Bodner, Julia*, Jamie Seoyeon Song*, & Gabriel Szulanski. 2019. “Heuristics to Navigate Uncertainties: Interview with Professor Kathleen M. Eisenhardt” Journal of Management Inquiry, 28(3): 359-365

*equal authorship

Other Working Papers

[3] Song, Jamie Seoyeon & Martin Gargiulo. “Divergent Opinions in Social Media and the Adoption of Cultural Products" – Academy of Management Journal (Revise and Resubmit)

[4] Song, Jamie Seoyeon. Going Beyond Conversational Partners: Entrepreneurs’ Framing and Audiences’ Support for Their Innovations – Manuscript in preparation for Administrative Science Quarterly

[5] Song, Jamie Seoyeon & Jason P. Davis. “What’s in a Name? Categorical and Idiosyncratic Identity of New Organizations in Nascent Markets” – Manuscript in preparation for Organization Science

[6] Song, Jamie Seoyeon “Leveraging Ambiguity: Entrepreneurs’ Linguistic Ambiguity and Audiences' Support for Their Innovation" – Manuscript in preparation for Administrative Science Quarterly

Research in Progress

[7] Stay together, win together: How coalitional delineations affect changes in organizational goals.


[8] Using Reddit and Twitter conversations to detect meaning formation (with H. Cho)


[9] Female entrepreneurs’ communication of their ventures (with T. Lluent)

[10] Using word embedding to detect knowledge communities