How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education
Auer N, Kalemba S, Stormer C, Boehm A-K, Cetin H, Gutjahr A, Neumann F, Kersken V, Weber G, Zimmermann G (2023)
Frontiers in Computer Science 5: 1134320.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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fcomp-05-1134320.pdf
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Autor*in
Auer, Nadine;
Kalemba, Samira;
Stormer, ChristinUniBi;
Boehm, Ann-Katrin;
Cetin, Hakan;
Gutjahr, Anja;
Neumann, Franziska;
Kersken, Verena;
Weber, Gerhard;
Zimmermann, Gottfried
Abstract / Bemerkung
Maturity models are increasingly used to advance the processes of organizations, including Higher Education Institutions. In this paper, we review existing maturity models to analyze and optimize the accessibility of organizations. Therefore, we conducted a systematic literature research in the databases Web of Science, IEEE Xplore, BASE, ACM, and Google Scholar, resulting in 13 different maturity models. An additional web search on maturity models for accessibility found another 12 maturity models that we added to the results. Finally, we analyzed the 25 maturity models in more detail, specifically the indicators that each maturity model uses to measure accessibility. The most frequent indicators were "responsibility", "competences & training", and "monitoring", with differences in the frequencies when separated by target group. Out of the 25 maturity models found, only 6 focused on Higher Education Institutions. None of the existing maturity models focuses on teaching and learning of accessibility explicitly.
Stichworte
maturity model (MM);
accessibility;
higher education;
accessibility;
maturity model;
accessibility measurement
Erscheinungsjahr
2023
Zeitschriftentitel
Frontiers in Computer Science
Band
5
Art.-Nr.
1134320
Urheberrecht / Lizenzen
eISSN
2624-9898
Page URI
https://pub.uni-bielefeld.de/record/2981383
Zitieren
Auer N, Kalemba S, Stormer C, et al. How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education. Frontiers in Computer Science . 2023;5: 1134320.
Auer, N., Kalemba, S., Stormer, C., Boehm, A. - K., Cetin, H., Gutjahr, A., Neumann, F., et al. (2023). How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education. Frontiers in Computer Science , 5, 1134320. https://doi.org/10.3389/fcomp.2023.1134320
Auer, Nadine, Kalemba, Samira, Stormer, Christin, Boehm, Ann-Katrin, Cetin, Hakan, Gutjahr, Anja, Neumann, Franziska, Kersken, Verena, Weber, Gerhard, and Zimmermann, Gottfried. 2023. “How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education”. Frontiers in Computer Science 5: 1134320.
Auer, N., Kalemba, S., Stormer, C., Boehm, A. - K., Cetin, H., Gutjahr, A., Neumann, F., Kersken, V., Weber, G., and Zimmermann, G. (2023). How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education. Frontiers in Computer Science 5:1134320.
Auer, N., et al., 2023. How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education. Frontiers in Computer Science , 5: 1134320.
N. Auer, et al., “How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education”, Frontiers in Computer Science , vol. 5, 2023, : 1134320.
Auer, N., Kalemba, S., Stormer, C., Boehm, A.-K., Cetin, H., Gutjahr, A., Neumann, F., Kersken, V., Weber, G., Zimmermann, G.: How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education. Frontiers in Computer Science . 5, : 1134320 (2023).
Auer, Nadine, Kalemba, Samira, Stormer, Christin, Boehm, Ann-Katrin, Cetin, Hakan, Gutjahr, Anja, Neumann, Franziska, Kersken, Verena, Weber, Gerhard, and Zimmermann, Gottfried. “How to measure the accessibility maturity of organizations-A survey on accessibility maturity models for higher education”. Frontiers in Computer Science 5 (2023): 1134320.
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