- S. Ransbotham, G. C. Kane, and N. H. Lurie, “Network Characteristics and the Value of Collaborative User-Generated Content,” Marketing Science, vol. 31, no. 3, pp. 387-405, 2012. Download
- S. Ransbotham and G. C. Kane, “Membership Turnover and Collaboration Success in Online Communities: Explaining Rises and Falls from Grace in Wikipedia,” MIS Quarterly, vol. 35, no. 3, pp. 613-627, 2011. Download
- S. Ransbotham, S. Mitra, and J. Ramsey, “Are Markets for Vulnerabilities Effective?,” MIS Quarterly, vol. 36, no. 1, pp. 43-64, 2012. Download
- S. Ransbotham, and S. Mitra, “Target Age and the Acquisition of Innovation in High Technology Industries,” Management Science, vol. 56, no. 11, pp. 2076-2093, 2010. Download
- S. Ransbotham, I. Murthy, S. Mitra, and S. Narasimhan, “Sequential Grid Computing: Models and Computational Experiments,” INFORMS Journal on Computing, vol. 23, no. 2, pp. 174-188, 2011. (Email me for a copy)
- J. Gallaugher and S. Ransbotham, “Dialog Management at Starbucks,” MIS Quarterly Executive, vol. 9, no. 4, pp. 197–212, 2010. Download
- S. Ransbotham and S. Mitra, “Choice and Chance: A Conceptual Model of Paths to Information Security Compromise,” Information Systems Research, vol. 20, no. 1, pp. 121–139, 2009. (runner-up for ISR Best Published Paper in 2009). Download
- S. Ransbotham and S. Mitra, “The Impact of Immediate Disclosure on Attack Diffusion and Volume,” in Workshop on the Economics of Information Security, (George Mason University, Fairfax, VA), 2011. Download
- S. Ransbotham, “An Empirical Analysis of Exploitation Attempts based on Vulnerabilities in Open Source Software,” at the Workshop on the Economics of Information Security, (Harvard University, Cambridge), 2010. Download
Copies of other papers under review or in preparation may be available-- email me.
Short on Analytics Talent? Seven Tips to Help Your Company Thrive
Companies are having a tough time finding the data scientists they need — they just aren’t being trained fast enough to meet market demand. While it may be challenging to keep ambitious analytics projects in development without employees with the necessary skill sets, that doesn’t mean those projects need to halt altogether. Sam Ransbotham offers seven tips for making progress when you don’t have enough analytics talent on board.
Analytical Value From Data That Cries Wolf
It’s a common assumption: errors and biases in a data set mean the data is useless. Not so fast, says Data & Analytics expert Sam Ransbotham — even data with less-than-great accuracy has its uses, if you understand how to parse it. His blog post explains how to make sense of uncertainty, and how tradeoffs between accuracy and breadth in a data set can better inform your decision-making process.
Internet of Things Webinar for MIT Sloan Management Review
Presenting research on corporate innovation contests at the SIM APC meeting
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