Maturity models are popular instruments used, e.g., to rate capabilities of maturing elements and select appropriate actions to take the elements to a higher level of maturity. Their application areas are wide spread and range from cognitive science to business applications and engineering. Although there are many maturity models reported in scientific and non-scientific literature, the act of how to develop a maturity model is for the most part unexplored. Many maturity models simply – and vaguely – build on their, often well-known, predecessors without critical discourse about how appropriate the assumptions are that form the basis of these models. This research sheds some light on the construction of maturity models by analysing 16 representative maturity models with the help of a structured content analysis. The results are transformed into a set of questions which can be used for the (re-)creation of maturity models and are answered with the help of the case example of a knowledge maturity model. Furthermore, a definition of the term maturity model is developed from the study’s results.
%0 Conference Paper
%1 BarnesIKNOW09
%A Barnes, Sally-Anne
%A Bimrose, Jenny
%A Brown, Alan
%A Feldkamp, Daniela
%A Kaschig, Andreas
%A Kunzmann, Christine
%A Maier, Ronald
%A Nelkner, Tobias
%A Sandow, Alexander
%A Thalmann, Stefan
%B 9th International Conference on Knowledge Management (I-KNOW '09), Graz, Austria
%D 2009
%K ethnography kma kmi knowledge_management knowledge_maturing matureip
%P 51-61
%T Knowledge Maturing at Workplaces of Knowledge Workers: Results of an Ethnographically Informed Study
%U http://mature-ip.eu/files/papers/iknow09/understanding_maturity_models.pdf
%X Maturity models are popular instruments used, e.g., to rate capabilities of maturing elements and select appropriate actions to take the elements to a higher level of maturity. Their application areas are wide spread and range from cognitive science to business applications and engineering. Although there are many maturity models reported in scientific and non-scientific literature, the act of how to develop a maturity model is for the most part unexplored. Many maturity models simply – and vaguely – build on their, often well-known, predecessors without critical discourse about how appropriate the assumptions are that form the basis of these models. This research sheds some light on the construction of maturity models by analysing 16 representative maturity models with the help of a structured content analysis. The results are transformed into a set of questions which can be used for the (re-)creation of maturity models and are answered with the help of the case example of a knowledge maturity model. Furthermore, a definition of the term maturity model is developed from the study’s results.
@inproceedings{BarnesIKNOW09,
abstract = {Maturity models are popular instruments used, e.g., to rate capabilities of maturing elements and select appropriate actions to take the elements to a higher level of maturity. Their application areas are wide spread and range from cognitive science to business applications and engineering. Although there are many maturity models reported in scientific and non-scientific literature, the act of how to develop a maturity model is for the most part unexplored. Many maturity models simply – and vaguely – build on their, often well-known, predecessors without critical discourse about how appropriate the assumptions are that form the basis of these models. This research sheds some light on the construction of maturity models by analysing 16 representative maturity models with the help of a structured content analysis. The results are transformed into a set of questions which can be used for the (re-)creation of maturity models and are answered with the help of the case example of a knowledge maturity model. Furthermore, a definition of the term maturity model is developed from the study’s results.},
added-at = {2009-10-09T15:44:48.000+0200},
author = {Barnes, Sally-Anne and Bimrose, Jenny and Brown, Alan and Feldkamp, Daniela and Kaschig, Andreas and Kunzmann, Christine and Maier, Ronald and Nelkner, Tobias and Sandow, Alexander and Thalmann, Stefan},
biburl = {https://www.bibsonomy.org/bibtex/2d28845b4761831eef0860c18a0e6264e/mature},
booktitle = {9th International Conference on Knowledge Management (I-KNOW '09), Graz, Austria},
interhash = {760c37228151f3aed6d94584fa5e5a97},
intrahash = {d28845b4761831eef0860c18a0e6264e},
keywords = {ethnography kma kmi knowledge_management knowledge_maturing matureip},
pages = {51-61},
timestamp = {2012-01-29T15:54:54.000+0100},
title = {Knowledge Maturing at Workplaces of Knowledge Workers: Results of an Ethnographically Informed Study},
url = {http://mature-ip.eu/files/papers/iknow09/understanding_maturity_models.pdf},
year = 2009
}