Jamie Song

Jamie Song joined ESMT Berlin as an Assistant Professor of Strategy in August 2021. She received her PhD in Management from INSEAD and her Bachelor's degree from Dartmouth College.

Jamie's research focuses on exploring how entrepreneurs influence the audience evaluation of their innovations in the age of digitization. She investigates how entrepreneurs' communication of their innovation and their use of preexisting relationships help them gain support for their innovations. She leverages a wealth of data on digital platforms and uses social networks and machine learning methodologies to explore this research question.

Prior to joining academia, Jamie worked in the tech space and continues to be interested in digital platforms, entrepreneurship, and all things tech.

EDUCATION

• PhD (INSEAD)
• BA in Economics (Dartmouth College)

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

• 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
• 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