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

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.

[1]  Michelle L. Gregory,et al.  User-directed Sentiment Analysis: Visualizing the Affective Content of Documents , 2006 .

[2]  Donald F. Kettl,et al.  Managing Boundaries in American Administration: The Collaboration Imperative , 2006 .

[3]  Kirsi Aaltonen,et al.  Project stakeholder analysis as an environmental interpretation process , 2011 .

[4]  Ramiro and,et al.  De-escalating Information Technology Projects: Lessons from the Denver International Airport , 2000 .

[5]  M. Markus,et al.  Information technology and organizational change: causal structure in theory and research , 1988 .

[6]  Branda Nowell,et al.  Out of Sync and Unaware? Exploring the Effects of Problem Frame Alignment and Discordance in Community Collaboratives , 2010 .

[7]  B. Flyvbjerg,et al.  Megaprojects and Risk: An Anatomy of Ambition , 2003 .

[8]  A. Langley.  Strategies for Theorizing from Process Data , 1999 .

[9]  R. Freeman.  Strategic Management: A Stakeholder Approach , 2010 .

[10]  R. Weber.  Basic Content Analysis , 1986 .

[11]  Kevin C. Desouza,et al.  Complexities of Large-Scale Technology Project Failure: A Forensic Analysis of the Seattle Popular Monorail Authority , 2008 .

[12]  Capers Jones,et al.  Why software fails , 1996 .

[13]  Jaakko Kujala,et al.  A stakeholder network perspective on unexpected events and their management in international projects , 2010 .

[14]  Michael Gamon,et al.  Proceedings of the Workshop on Sentiment and Subjectivity in Text , 2006 .

[15]  Eoin Woods,et al.  Software Systems Architecture: Working with Stakeholders Using Viewpoints and Perspectives , 2005 .

[16]  Lisa Brownsword,et al.  System-of-Systems Navigator: An Approach for Managing System-of-Systems Interoperability , 2006 .

[17]  Ronald K. Mitchell,et al.  Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of who and What Really Counts , 1997 .

[18]  William M. VanDenburgh.  Internal Revenue Service Restructuring and Reform Act of 1998: a test of New Public Management , 2004 .

[19]  Gary S. C. Pan.  Information systems project abandonment: a stakeholder analysis , 2005, Int. J. Inf. Manag..

[20]  H. Kerzner.  Project Management Best Practices: Achieving Global Excellence , 2006 .

[21]  Kevin C. Desouza,et al.  Information and Knowledge Management in Public Sector Networks: The Case of the US Intelligence Community , 2009 .

[22]  Zbigniew H. Przasnyski,et al.  On Information Systems Project Abandonment: An Exploratory Study of Organizational Practices , 1991, MIS Q..

[23]  Michael McGuire,et al.  American Federalism and the Search for Models of Management , 2001 .

[24]  Gerard Briscoe,et al.  Digital Ecosystems: Evolving Service-Orientated Architectures , 2006, 2006 1st Bio-Inspired Models of Network, Information and Computing Systems.

[25]  Walker Royce.  Successful software management style: steering and balance , 2005, IEEE Software.

[26]  A. Tansley.  The Use and Abuse of Vegetational Concepts and Terms , 1935 .

[27]  Michael McGuire,et al.  Multinetwork Management: Collaboration and the Hollow State in Local Economic Policy , 1998 .

[28]  M. V. Riemsdijk,et al.  Toward A Theory Of Stakeholder Identification And Salience , 2022 .