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Maturity model information


A maturity model is a framework for measuring an organization's maturity, or that of a business function within an organization,[1] with maturity being defined as a measurement of the ability of an organization for continuous improvement in a particular discipline (as defined in O-ISM3 [dubious ]).[2] The higher the maturity, the higher will be the chances that incidents or errors will lead to improvements either in the quality or in the use of the resources of the discipline as implemented by the organization.

Most maturity models assess qualitatively people/culture, processes/structures, and objects/technology.[3]

Two approaches to implementing maturity models exist. With a top-down approach, such as proposed by Becker et al.,[4] a fixed number of maturity stages or levels is specified first and further corroborated with characteristics (typically in form of specific assessment items) that support the initial assumptions about how maturity evolves. When using a bottom-up approach, such as suggested by Lahrmann et al.,[5] distinct characteristics or assessment items are determined first and clustered in a second step into maturity levels to induce a more general view of the different steps of maturity evolution.

  1. ^ Capita, How mature is your procurement function?, published 2 February 2021, accessed 26 August 2023
  2. ^ Aceituno, Vicente. "Open Information Security Maturity Model". Retrieved 12 February 2017.
  3. ^ Mettler T (2011). "Maturity assessment models: a design science research approach" (PDF). International Journal of Society Systems Science. 3 (1/2): 213–222. doi:10.1504/IJSSS.2011.038934.
  4. ^ Becker, J., Knackstedt, R., Pöppelbuß, J. (2009) Developing Maturity Models for IT Management – A Procedure Model and its Application. Business & Information Systems Engineering 1(3), 213-222
  5. ^ Lahrmann G, Marx F, Mettler T, Winter R, Wortmann F (2011). "Inductive Design of Maturity Models: Applying the Rasch Algorithm for Design Science Research". Service-Oriented Perspectives in Design Science Research. Lecture Notes in Computer Science. Vol. 6629. Springer. pp. 176–191. doi:10.1007/978-3-642-20633-7_13. ISBN 978-3-642-20632-0.

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