Empirical validation of the Classic Change Curve on a software technology change project
Information and Software Technology
Assessing and improving the front end activities of software development
International Journal of Business Information Systems
Tacit knowledge formalization to support the adoption process of software quality models
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
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Too many improvement and innovation projects fail. We have studied the characteristics of successful and failed projects. From this study, we derived 20 parameters that influence success and failure. We used the parameters to build the ImprovAbility Model, which is a model that can be used to measure an organization's or a project's ability to succeed with improvement. In this article, we elaborate on selected parameters that have been shown to be important and-or difficult, particularly in low-maturity organizations. Copyright © 2008 John Wiley & Sons, Ltd.