Investigating Failures in Large-Scale Public Sector Projects with Sentiment Analysis

I have co-authored a paper with Sandeep Purao and Jonathan Becker, both based at the College of Information Science and Technology at Penn State University, which analyzes the IRS’s Business Systems Modernization Project using sentiment analysis. The paper will appear in a special issue of e-Service Journal.

We describe results from historical analysis of the IRS Business Systems Modernization (BSM) as an example of large-scale, public sector projects. The project has already spanned a decade and consumed more than 3 billion dollars. The paper suggests extracting stakeholder Sentiments and Confidence from documents, with a view to exploring how such measures may offer early indications of project progress and assist managers to prevent undesirable future outcomes. The key contribution of this research is a demonstration of a plausible technique to elicit stakeholder perspectives based on the content in publicly available documents, either complementing any existing methods, or supplanting them in projects where collecting primary data may be infeasible.

A previous version of this paper was presented at the 44th Hawaii International Conference on System Sciences in theElectronic Government Track(Development Methods for Electronic Government, Minitrack).

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