Abstract

http://ssrn.com/abstract=1400254
 
 

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Beyond Waterfall and Agile Methods: Towards a New Contingency Model for IT Project Management


Chris Ward


University of Utah - Department of Operations and Information Systems

Leonardo Legorreta


California State University, Sacramento - College of Business Administration

April 2, 2009


Abstract:     
IT projects are notorious for not performing as planned, costing organizations vast amounts of time, effort, and money. Attempts to find a silver bullet, a methodology that can be used for all projects types, have failed. Some methodologies, for example the waterfall and the agile methodologies, have proven variably successful and have endured in practice despite not necessarily being optimal for a given project. We contend that more extreme methodologies are needed than what is currently practiced, but that these should apply to particular project types alone. Optimizing the methodology to the given project, we suggest, will yield better outcomes. Building on existing methodologies, we develop the notion of Degree of Linearity of the methodology as a continuum along which to rank order the methodologies, with waterfall being the most linear, agile methodologies being of medium linearity, and exploratory methodologies as the least linear. As organizations increasingly rely on innovation to compete, the more extreme project types will become increasingly important. Some of the most valuable projects must rely on methodologies that are more exploratory than IT projects traditionally have dared do. The proposed contingency model helps sort out these promising projects and helps ensure that their development will be as successful as the more traditional projects.

Number of Pages in PDF File: 11

Keywords: Software engineering methodologies, management, organizational management and coordination

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Date posted: May 7, 2009 ; Last revised: June 28, 2010

Suggested Citation

Ward, Chris and Legorreta, Leonardo, Beyond Waterfall and Agile Methods: Towards a New Contingency Model for IT Project Management (April 2, 2009). Available at SSRN: http://ssrn.com/abstract=1400254 or http://dx.doi.org/10.2139/ssrn.1400254

Contact Information

Chris Ward (Contact Author)
University of Utah - Department of Operations and Information Systems ( email )
1645 E Campus Center Drive
University of Utah
Salt Lake City, UT 84112
United States
Leonardo Legorreta
California State University, Sacramento - College of Business Administration ( email )
School of Business Administration
Sacramento, CA 95819-6081
United States
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