Exploiting organizational knowledge in developing IS project cost and schedule estimates: An empirical study

  • Authors:

  • Raymond M. Henry;Gordon E. McCray;Russell L. Purvis;Tom L. Roberts

  • Affiliations:

  • College of Business & Behavioral Sciences, Clemson University, 111 Sirrine Hall, Clemson, SC 29634-1305, United States;The Wayne Calloway School of Business and Accountancy, Wake Forest University, Winston-Salem, NC 27109, United States;College of Business & Behavioral Sciences, Clemson University, 106 Sirrine Hall, Clemson, SC 29634-1305, United States;Department of Management and Information Systems, College of Business, Room # 208E, P.O. Box 10318, Louisiana Tech University, Ruston, LA 71272, United States

  • Venue:
  • Information and Management
  • Year:
  • 2007

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Abstract

Project management is vital to the effective application of organizational resources to competing demands within and across projects. The effective application of project management, however, is predicated upon accurate estimates of the project budget and schedule. This study assesses primary and supporting activities that exploit knowledge within an organization's memory to develop project schedule durations and budgets. The study further assesses the subsequent impact of predictability on project success. Two hundred and sixteen survey responses from IT professionals with project management responsibilities were analyzed. Results found use of the primary activities of using parametric estimating techniques (use of formal models), bottom-up estimating techniques (formulating estimates at the task level), and the support activities of team reliance, realistic targets, and professional experience all impact the predictability of estimates for project cost and duration. Predictability in turn was found to directly impact project success with regards to meeting cost and duration objectives. While use of analogous estimating techniques (using similar previous projects) was not found to be useful for project managers with more experience, it was used by project managers with less experience in determining predictability.