Doctoral Student

Frank Nagle

Please visit my job market website for the most up-to-date information: http://people.hbs.edu/fnagle

Frank is a doctoral candidate in the Technology & Operations Management unit at HBS where he studies the economics of IT and digitization. His main research interests are crowdsourced digital goods, network effects in technology adoption, and generating strategic predictions from unstructured big data. His research utilizes large datasets derived from online social networks, financial market information, and surveys of enterprise IT usage.
Please visit my job market website for the most up-to-date information: http://people.hbs.edu/fnagle

Frank is a doctoral candidate in the Technology & Operations Management unit at HBS where he studies the economics of IT and digitization. His main research interests are crowdsourced digital goods, network effects in technology adoption, and generating strategic predictions from unstructured big data. His research utilizes large datasets derived from online social networks, financial market information, and surveys of enterprise IT usage.

Frank has worked at a number of small and large companies in the information security and technology consulting industries. In these roles, he has researched a variety of topics related to social network privacy and the economics of IT, spoken at numerous conferences, and developed and taught a 2 week course that all FBI cyber agents must pass before entering the field. Frank earned a BS and MS in Computer Science from Georgetown University and an MS in International Business Economics from City University, London.

  1. Overview

    Frank's current research focuses on a number of areas within the field of the Economics of IT and Digitization. In the area of innovation and production for free, he is studying the value of open source software (with Shane Greenstein), the drivers of online word-of-mouth (with Christoph Riedl), and various aspects of digital currencies (with Magnus Torfason and Mikolaj Piskorski). In the area of network effects in technology adoption, he is exploring supply-chain based network effects in enterprise IT adoption (with Kristina McElheran and Steve Kahl). In the area of generating strategic predictions from unstructured big data, he has researched the relationship between social media and stock market movements. His research utilizes large datasets derived from online social networks, financial market information, and surveys of enterprise IT usage. Frank's prior research in computer science focused on Influence, Trust, and Privacy in Social Networks.

    Keywords: Information Technology; Strategy; Technological Innovation; Collaborative Innovation and Invention; Economic Growth; Entrepreneurship; Technology; Internet; Mobile Technology; Online Technology; Technology Adoption; Technology Networks;