Same vendor, version‐to‐version upgrade decision support model for commercial off‐the‐shelf productivity applications

Jason S. Seibel, Thomas A. Mazzuchi and Shahram Sarkani

Systems Engineering, 2006, vol. 9, issue 4, 296-312

Abstract: Commercial Off‐the‐Shelf (COTS) Productivity Applications have provided a reliable, convenient, and consistent productivity environment for commercial, government, and personal users for over two decades. Vendors today, such as Microsoft and Adobe, typically deliver new capabilities as follow‐on versions or upgrades to existing product lines. Annually, corporations needlessly spend millions of dollars investing in follow‐on versions of currently deployed applications without adequately evaluating upgrade decisions. Exacerbating the problem, vendors release new versions of their productivity applications with increasingly shorter intervals, advertising them as full of new and ‘‘must have’’ capabilities. The decision to upgrade is challenging. Unfortunately, there is a lack of ‘‘same vendor, version‐to‐version’’ upgrade decision support models to assist Information Technology (IT) decision‐makers whether to upgrade or not. As a result, IT decision makers typically employ general strategies that are not based on clear, well‐defined decision attributes, which, in turn, waste valuable IT resources. This research effort proposes an upgrade decision support model for COTS productivity applications based on a multivariable, scenario‐based survey of IT professionals. Using logistic regression analysis, a model is developed using an iterative approach to isolate contributing survey attributes and to produce a statistically significant model. The proposed logistic regression model produces an output based on the probability of upgrading intended to assist an IT professional in productivity application upgrade decisions. © 2006 Wiley Periodicals, Inc. Syst Eng 9: 296–312, 2006

Date: 2006
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