Doctoral Student
Frank Nagle
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 network effects in technology adoption, innovation and production for free, 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, spoke 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.
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 network effects in technology adoption, innovation and production for free, 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, spoke 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.
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Article
| Proceedings of the Annual International Conference on Privacy, Security, and Trust
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Exploring Re-Identification Risks in Public Domains
Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two different cases studies for sensitive data reidentification. We conclude that targeted re-identification using traditional variables is not only possible, but fairly straightforward given the large amount of public data available. However, our first case study also indicates that large-scale re-identification is less likely. We then consider methods for agencies such as the Census Bureau to identify variables that cause individuals to be vulnerable without testing all combinations of variables. We show the effectiveness of different strategies on a Census Bureau data set and on a synthetic data set.
Citation: Ramachandran, Aditi, Lisa Singh, Edward Porter, and Frank Nagle. "Exploring Re-Identification Risks in Public Domains." Proceedings of the Annual International Conference on Privacy, Security, and Trust (2012).
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Journal Article
| Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
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EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks
Frank Nagle, Lisa Singh and Aris Gkoulalas-Divanis
Citation: Nagle, Frank, Lisa Singh, and Aris Gkoulalas-Divanis. "EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks." Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (2012): 359–370.
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Journal Article
| Secure Times
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Will Laws That Build Upon PCI-DSS Lead to Greater Security?
Chris Nutt and Frank Nagle
Citation: Nutt, Chris, and Frank Nagle. "Will Laws That Build Upon PCI-DSS Lead to Greater Security?" Secure Times 5, no. 1 (spring 2010).
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Journal Article
| Proceedings of the International Conference on Advances in Social Network Analysis and Mining
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Privacy in Online Social Networks: Empirical Evidence from Facebook
Frank Nagle and Lisa Singh
Citation: Nagle, Frank, and Lisa Singh. "Privacy in Online Social Networks: Empirical Evidence from Facebook." Proceedings of the International Conference on Advances in Social Network Analysis and Mining (2009).
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Journal Article
| International Journal of Financial Services Management
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High-Tech IPOs in the US, UK, and Europe after the Dot-Com Bubble
Frank Nagle and Keith Pilbeam
Citation: Nagle, Frank, and Keith Pilbeam. "High-Tech IPOs in the US, UK, and Europe after the Dot-Com Bubble." International Journal of Financial Services Management 4, no. 1 (2009).
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Journal Article
| Proceedings of the Workshop on the Economics of Information Security
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Emerging Economic Models for Vulnerability Research
Frank Nagle and Michael Sutton
Citation: Nagle, Frank, and Michael Sutton. "Emerging Economic Models for Vulnerability Research." Proceedings of the Workshop on the Economics of Information Security (2006).
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Chapter
| Oxford Bibliographies: Management
| 2013
Technology and Innovation Management
Elizabeth J. Altman, Frank Nagle and Michael Tushman
The goal of this annotated bibliography on technology and innovation is to organize and present the most important literature relevant to a scholar seeking to understand and advance the field. It includes articles that are highly-cited and foundational pieces, as well as recent articles that help give the reader a sense of where the field is headed and where likely opportunities for future research lie. This article seeks to strike an equilibrium among the variety of perspectives that exist in technology and innovation literature, balancing new and old research as well as economic, organizational, and cross-disciplinary methodologies. The innovative process is broadly considered here, as well as the technologies that result from it, including business model innovation, service-level innovation, and product innovation, highlighting articles that utilize diverse levels of analysis.
Keywords: technology;
technological change;
innovation streams;
organizational evolution;
executive leadership;
organizational architecture;
Technology;
Technological Innovation;
Innovation and Management;
Organizational Change and Adaptation;
Leadership;
Organizational Design;
Citation: Altman, Elizabeth J., Frank Nagle, and Michael Tushman. " Technology and Innovation Management." In Oxford Bibliographies: Management, edited by Ricky W. Griffin. New York: Oxford University Press, 2013.
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Chapter
| Studies in Mining Social Networks and Security Informatics
| Forthcoming
Privacy Breach Analysis in Social Networks
Frank Nagle
Citation: Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Studies in Mining Social Networks and Security Informatics, edited by Zeki Erdem, Tansel Ozyer, Suheil Khoury, and Jon Rokne., forthcoming.
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Chapter
| Cyber Fraud: Tactics, Techniques, and Procedures
| Forthcoming
Economic Models for Software Vulnerability Research
Frank Nagle and Michael Sutton
Citation: Nagle, Frank, and Michael Sutton. "Economic Models for Software Vulnerability Research." Chap. 1 in Cyber Fraud: Tactics, Techniques, and Procedures. 2nd ed.. Auerbach Publications, In Press.
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Working Paper
| HBS Working Paper Series
| 2013
The Benefits of Product Quality Disagreement - When Divergent Reviews Drive Online Word of Mouth
Frank Nagle and Christoph Riedl
A consumer's decision to leave an online product review may not only depend on satisfaction with the product but may depend on other product characteristics and on social effects, including the disagreement among previously posted reviews. We develop and test a theoretical model that extends and advances the disparate literature about online word of mouth (WOM) by accounting for social effects (particularly disagreement), product effects, and their interaction, on consumers' propensity to write online product reviews. To quantify disagreement, we introduce a new measure based on an expectation-maximization algorithm for finite mixture models as a summary statistic for the mostly non-normally distributed review ratings. In addition to numerical star-ratings, we use sentiment analysis and automated nonparametric content analysis of review texts to measure disagreement in consumer opinions. We test our model on nearly 280,000 reviews for 433 movies and find the propensity to review is higher when there is high disagreement about the movie's quality. We also find that while high disagreement generates a 35% increase in WOM for niche products, it leads to an 8% decrease in WOM for hit products. Finally, we find that the positive effect of disagreement is amplified by the length of the textual reviews but dissipates over time.
Keywords: online word of mouth;
online communities;
Viral Marketing;
online product reviews;
consumer behavior;
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Conference Presentation
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15
Dec
2012
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16
Dec
2012
Drivers of Online Word of Mouth: Interactions Between Product, Social, and Temporal Effects
Frank Nagle and Christoph Riedl
Citation: Nagle, Frank, and Christoph Riedl. "Drivers of Online Word of Mouth: Interactions Between Product, Social, and Temporal Effects." Paper presented at the Workshop on Information Systems and Economics, Association of Information Systems, Orlando, FL, USA, December 15–16, 2012.
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Conference Presentation
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28
Sep
2012
Peer Influence on Individual Opinions in Information Networks
Frank Nagle and Christoph Riedl
Citation: Nagle, Frank, and Christoph Riedl. "Peer Influence on Individual Opinions in Information Networks." Paper presented at the Workshop on Information in Networks, Leonard N. Stern School of Business, New York, USA, September 28, 2012.
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Conference Presentation
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Feb
2011
Loose Lips Sink Networks --Is Social Networking Making Your Network Insecure?
Frank Nagle
Citation: Nagle, Frank. "Loose Lips Sink Networks --Is Social Networking Making Your Network Insecure?" Paper presented at the RSA Conference, San Franciso, CA, February 2011.
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Conference Presentation
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Sep
2010
Security of Social Networking Sites/Web 2.0
Frank Nagle
Citation: Nagle, Frank. "Security of Social Networking Sites/Web 2.0." , U.S. Dept. of Homeland Security. National Cyber Security Division (DHS NCSD), September 2010. (Co-sponsored by the Multi-State Information Sharing and Analysis Center (MS-ISAC))
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Conference Presentation
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2010
Loose Lips Sink Networks: Is Social Networking Making Your Network Insecure
Frank Nagle
Citation: Nagle, Frank. "Loose Lips Sink Networks: Is Social Networking Making Your Network Insecure." Paper presented at the GFIRST Conference, San Antonio, TX.
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Conference Presentation
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2010
Loose Lips Sink Networks: Is Social Networking Making Your Network Insecure?
Frank Nagle
Citation: Nagle, Frank. "Loose Lips Sink Networks: Is Social Networking Making Your Network Insecure?" Paper presented at the U.S. Department of Defense Cyber Crime Conference, St. Louis, MO.
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Conference Presentation
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4
Jun
2009
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7
Jun
2009
High-Tech IPOs in the US, UK and Europe After the Dot-Com Bubble
Frank Nagle and Keith Pilbeam
Citation: Nagle, Frank, and Keith Pilbeam. "High-Tech IPOs in the US, UK and Europe After the Dot-Com Bubble." Paper presented at the Annual Meeting of the European Economics and Finance Society International Conference, Warsaw, Poland, June 4–7, 2009.
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Conference Presentation
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2007
Current Trends in Brand Preservation and Intellectual Property
Frank Nagle
Citation: Nagle, Frank. "Current Trends in Brand Preservation and Intellectual Property." Paper presented at the e-Crime Congress, London, UK.
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Conference Presentation
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16
Nov
2006
Utilizing Security Intelligence to Tackle Organized CyberCrime
Frank Nagle
Citation: Nagle, Frank. "Utilizing Security Intelligence to Tackle Organized CyberCrime." Paper presented at the Tackling Organised Crime In Partnership Conference, London, UK, November 16, 2006.
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Conference Presentation
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2006
Exploitation Frameworks: A Comparative Study
Frank Nagle, Jeff Berg and Adam Zeldis
Citation: Nagle, Frank, Jeff Berg, and Adam Zeldis. "Exploitation Frameworks: A Comparative Study." Paper presented at the Computer Security Institute NetSec, Scottsdale, AZ.
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