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Organizer: Natarajan Balasubramanian, Syracuse U.
Organizer: Rajshree Agarwal, U. of Maryland
Presenter: Christian Catalini, MIT Sloan School of Management
Presenter: Justin Frake, U. of Michigan
Presenter: Anand Gopal, U. of Maryland
Presenter: Brad Greenwood, U. of Minnesota
Presenter: Olav Sorenson, Yale U.
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| With the increasing availability of data and computational power, the use of “Big Data” is becoming increasingly important for empirical research in many fields including strategic management (STR), technology and innovation management (TIM) and entrepreneurship (ENT). This Professional Development Workshop (PDW or “the workshop”) will focus on acquainting empirical researchers with three technological advances related to Big Data- -- web scraping, natural language processing and machine learning- --that are likely to be relevant and useful to empirical researchers in these fields over the next several years. The workshop has two overall objectives: provide interested empirical researchers with a brief look at some applications of these advances in research studies, and engender a broader discussion around the relevance and impact of these advances to research not only in STR, but also in RM, TIM and ENT. To achieve these objectives, the workshop design incorporates a well-balanced mix of panelist presentations along two dimensions—a mix of junior, mid- level and senior scholars who will share practical and strategic perspectives, and a diversity of research topics and disciplinary lens being examined through these techniques. The participant- centered discussion format will also maximize learning and dialogue with panelists. |
| Pre-registration is required for this session. To register online, please visit https://secure.aom.org/PDWReg. The deadline to register online is August 9, 2018. |
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